Every organization in the registry ranked by its fit to Later (Company, B2B SaaS, United States), from 0 to 100%: how close it is in what it does, its industry, the distinctive parts both public maps hold, and size and region. Change the weights to rank by what matters to you; the link keeps them.
Company · B2B SaaS · United States
Maximize your social ROI with Sprout Social, trusted by 30k+ brands. Power everything from publishing and engagement to analytics and influencer marketing.
Very close in what it does · Same segment · 7 distinctive shared parts · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 100% | 60% | +60.0 |
| IndustrySame segment | 92% | 30% | +27.5 |
| Shared parts7 distinctive parts on both public maps. | 75% | 5% | +3.7 |
| Size & regionCountry same · size not known for both · model same. | 100% | 5% | +5.0 |
| Fit | 96% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · B2B SaaS
The AI-powered business operating system. HighLevel is the all-in-one sales & marketing platform that agencies can white-label and resell to their clients.
Very close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 85% | 67% | +56.8 |
| IndustrySame segment | 92% | 33% | +30.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionNeither size, country nor business model known for both: left out. | n/a | — | — |
| Fit | 87% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Software Publishers · United States
Customer experience company
Very close in what it does · Same industry · 1 distinctive shared part · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 96% | 60% | +57.9 |
| IndustrySame industry | 53% | 30% | +15.9 |
| Shared parts1 distinctive part on both public maps. | 13% | 5% | +0.7 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 79% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · B2B SaaS · Remote (founded in the United Kingdom)
Use Buffer to manage your social media so that you can create and share your content everywhere, consistently.
Close in what it does · Same segment · 7 distinctive shared parts
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 67% | 60% | +40.2 |
| IndustrySame segment | 92% | 30% | +27.5 |
| Shared parts7 distinctive parts on both public maps. | 81% | 5% | +4.1 |
| Size & regionCountry different · size not known for both · model same. | 50% | 5% | +2.5 |
| Fit | 74% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · B2B SaaS · Canada
Hootsuite is a social media management tool that brings scheduling, content creation, analytics, and social listening to one place.
Close in what it does · Same segment · 6 distinctive shared parts
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 61% | 60% | +36.8 |
| IndustrySame segment | 92% | 30% | +27.5 |
| Shared parts6 distinctive parts on both public maps. | 93% | 5% | +4.6 |
| Size & regionCountry different · size not known for both · model same. | 50% | 5% | +2.5 |
| Fit | 71% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · B2B SaaS
Build Custom Agents, search across all your apps, and automate busywork. The AI workspace where teams get more done, faster.
Close in what it does · Same segment · 1 distinctive shared part
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 62% | 63% | +39.1 |
| IndustrySame segment | 92% | 32% | +29.0 |
| Shared parts1 distinctive part on both public maps. | 18% | 5% | +0.9 |
| Size & regionNeither size, country nor business model known for both: left out. | n/a | — | — |
| Fit | 69% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Artificial intelligence · Switzerland
Swiss AI-powered marketing attribution and budget optimization software company
Close in what it does · Same industry
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 80% | 63% | +50.4 |
| IndustrySame industry | 53% | 32% | +16.8 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 67% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Software Publishers · Canada
Canadian e-commerce company
Close in what it does · Same industry · 1 distinctive shared part
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 81% | 60% | +48.6 |
| IndustrySame industry | 53% | 30% | +15.9 |
| Shared parts1 distinctive part on both public maps. | 13% | 5% | +0.7 |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 65% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Software Publishers · United States
American data broker
Close in what it does · Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 73% | 60% | +43.8 |
| IndustrySame industry | 53% | 30% | +15.9 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 65% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Software Publishers · United States
American software company
Close in what it does · Same industry · 1 distinctive shared part · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 71% | 60% | +42.8 |
| IndustrySame industry | 53% | 30% | +15.9 |
| Shared parts1 distinctive part on both public maps. | 13% | 5% | +0.7 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 64% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Companies · United States
Scale your practice with Envestnet’s connected wealth management technology and AI solutions. Built to help modern financial advisors streamline and grow.
Very close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 98% | 60% | +59.0 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 64% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · B2B SaaS · United States
American cloud-based software company
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 47% | 63% | +29.7 |
| IndustrySame segment | 92% | 32% | +29.0 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.3 |
| Fit | 64% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Software Publishers · United States
American software company
Close in what it does · Same industry · 1 distinctive shared part · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 70% | 60% | +41.9 |
| IndustrySame industry | 53% | 30% | +15.9 |
| Shared parts1 distinctive part on both public maps. | 13% | 5% | +0.7 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 63% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · B2B SaaS · United States
FounderOS is the platform you run your company or agency on: an open-source business OS.
Same segment · 6 distinctive shared parts · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 47% | 60% | +27.9 |
| IndustrySame segment | 92% | 30% | +27.5 |
| Shared parts6 distinctive parts on both public maps. | 50% | 5% | +2.5 |
| Size & regionCountry same · size not known for both · model same. | 100% | 5% | +5.0 |
| Fit | 63% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Artificial intelligence · United States
American AI venture builder focused on proptech and govtech
Close in what it does · Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 64% | 63% | +40.6 |
| IndustrySame industry | 53% | 32% | +16.8 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.3 |
| Fit | 63% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Companies · United States
Drive technology innovation at scale with AI services, cloud, data, and digital engineering expertise trusted by Fortune 1000 enterprises to improve efficiency and accelerate growth.
Very close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 94% | 60% | +56.6 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 62% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Artificial intelligence
AI-driven mineral exploration technology company
Close in what it does · Same industry
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 66% | 67% | +43.8 |
| IndustrySame industry | 53% | 33% | +17.7 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionNeither size, country nor business model known for both: left out. | n/a | — | — |
| Fit | 61% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Software Publishers · United States
Cloud-based data-warehousing startup
Close in what it does · Same industry · 1 distinctive shared part · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 66% | 60% | +39.8 |
| IndustrySame industry | 53% | 30% | +15.9 |
| Shared parts1 distinctive part on both public maps. | 13% | 5% | +0.7 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 61% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Software Publishers · worldwide
AI-driven supply chain platform
Close in what it does · Same industry
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 71% | 63% | +44.6 |
| IndustrySame industry | 53% | 32% | +16.8 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 61% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Facial recognition and biometrics · United States
BigBear.ai is a provider of AI-powered decision intelligence solutions, including predictive analytics, computer vision, and event alerting technologies.
Very close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 92% | 60% | +55.2 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 60% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Software Publishers · United States
Experience management company
Close in what it does · Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 65% | 60% | +39.2 |
| IndustrySame industry | 53% | 30% | +15.9 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 60% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Companies · Sweden
We help brands find new customers and sell more, while helping partners monetise their content.
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 100% | 60% | +60.0 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 60% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Companies · France
Turn intent into a living, measurable signal across the entire customer journey — powered by AI, 200M+ profiles and 3 billion signals analysed continuously.
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 100% | 60% | +60.0 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 60% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Advertising, Public Relations, and Related Services · United States
American company which offers data-driven marketing services
Very close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 86% | 63% | +54.6 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 32% | +0.0 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.3 |
| Fit | 60% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame industry | 53% | 86% | +45.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 14% | +14.3 |
| Fit | 60% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
Company · Software Publishers · United States
Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame industry | 53% | 86% | +45.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 14% | +14.3 |
| Fit | 60% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame industry | 53% | 86% | +45.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 14% | +14.3 |
| Fit | 60% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
Company · Facial recognition and biometrics · United States
IntelliVision is a video analytics company that provides AI and Deep Learning-based surveillance technologies for use with CCTV cameras.
Very close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 90% | 60% | +54.0 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 59% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Artificial intelligence · United States
American practical-systems studio building AI automation for small businesses; also operates a private commercial real estate acquisitions group
Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 58% | 63% | +36.7 |
| IndustrySame industry | 53% | 32% | +16.8 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.3 |
| Fit | 59% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Social media monitoring and open-source intelligence · United States
Primer is a military-focused artificial intelligence company designed to support the "next-generation warfighter." It develops advanced AI solutions for mission planning, asset tracking, intelligence operations, and real-time threat detection.
Very close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 89% | 60% | +53.6 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 59% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Retail & e-commerce · United States
Ecommerce technology platform powering 13B+ transactions annually. AI-driven relevance in the Transaction Moment™ drives incremental profit, customer acquisition, and enhanced CX for 30,000+ global brands.
Very close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 89% | 60% | +53.6 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 59% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Software Publishers · United States
American SaaS platform for SEO, content marketing, and competitive analysis
Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 58% | 63% | +36.4 |
| IndustrySame industry | 53% | 32% | +16.8 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.3 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Cybersecurity software vendors · United States
Software company
Close in what it does · Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 62% | 60% | +37.0 |
| IndustrySame industry | 53% | 30% | +15.9 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · B2B SaaS · United States
American marketing software company
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 37% | 63% | +23.5 |
| IndustrySame segment | 92% | 32% | +29.0 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.3 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Consumer apps · United States
Hinge is built on the belief that anyone looking for love should be able to find it. It’s also built on an acclaimed Nobel-Prize-winning algorithm, so we can succeed in getting you out on promising dates, not keeping you on the app.
Same industry · 6 distinctive shared parts · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 56% | 60% | +33.5 |
| IndustrySame industry | 53% | 30% | +15.9 |
| Shared parts6 distinctive parts on both public maps. | 66% | 5% | +3.3 |
| Size & regionCountry same · size not known for both · model same. | 100% | 5% | +5.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Software Publishers · United States
US technology company
Same industry · 1 distinctive shared part · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 60% | 60% | +35.8 |
| IndustrySame industry | 53% | 30% | +15.9 |
| Shared parts1 distinctive part on both public maps. | 13% | 5% | +0.7 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 57% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Artificial intelligence · Sweden
AI based software to generate application code
Close in what it does · Same industry
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 64% | 63% | +40.2 |
| IndustrySame industry | 53% | 32% | +16.8 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 57% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Research · United States
We identify the brightest emerging talent and give them the tools to best support their success.
Very close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 86% | 60% | +51.4 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 56% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Software Publishers · United States
American technology company
Same industry · 1 distinctive shared part · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 57% | 60% | +34.4 |
| IndustrySame industry | 53% | 30% | +15.9 |
| Shared parts1 distinctive part on both public maps. | 13% | 5% | +0.7 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 56% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Social media monitoring and open-source intelligence · United States
Massive Blue, a New York-based company, has developed a surveillance tool called Overwatch, marketed as an "AI-powered force multiplier for public safety." This technology deploys AI-generated virtual personas designed to infiltrate online spaces.
Close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 85% | 60% | +51.0 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 56% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Information & media
Publishing company
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 88% | 63% | +55.8 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 32% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionNeither size, country nor business model known for both: left out. | n/a | — | — |
| Fit | 56% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Advertising Agencies · United States
American technology company
Close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 84% | 60% | +50.6 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 56% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Software Publishers · United States
American conversational search engine company
Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 51% | 63% | +32.3 |
| IndustrySame industry | 53% | 32% | +16.8 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.3 |
| Fit | 54% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Advertising, Public Relations, and Related Services · United States
Nativex is a leading digital marketing agency dedicated to helping businesses achieve cross-regional growth through market research and analysis, online media buying, creative production, influencer marketing, social media management, and offline event planning and execution.
Close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 82% | 60% | +49.2 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 54% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Facial recognition and biometrics · United States
Vintra is a company that develops AI-powered video analytics technologies that turn raw video footage into intelligence, primarily for use by law enforcement agencies.
Close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 82% | 60% | +49.0 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 54% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Facial recognition and biometrics · United States
Avathon, formerly known as SparkCognition, markets its Visual AI Advisor as a tool for real-time surveillance and monitoring, using existing CCTV infrastructure to track, analyze and predict behavior.
Close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 82% | 60% | +49.0 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 54% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Cybersecurity software vendors · United States
Cybersecurity company
Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 55% | 60% | +32.9 |
| IndustrySame industry | 53% | 30% | +15.9 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 54% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Software Publishers · United States
American business enterprise
Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 54% | 60% | +32.6 |
| IndustrySame industry | 53% | 30% | +15.9 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 54% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Social science and humanities research institutes · United States
We help decision-makers create inclusive and sustainable growth. Our global, national, and local Social Progress Indexes and custom-designed data insight tools provide an evidence-based approach to inform and empower action to drive social and environmental progress.
Close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 76% | 63% | +48.3 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 32% | +0.0 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.3 |
| Fit | 54% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Software Publishers · United States
American technology company
Same industry · 1 distinctive shared part · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 53% | 60% | +31.9 |
| IndustrySame industry | 53% | 30% | +15.9 |
| Shared parts1 distinctive part on both public maps. | 13% | 5% | +0.7 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 53% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Information & media · United States
Crowd-sourced content service for financial markets
Close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 76% | 63% | +48.1 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 32% | +0.0 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.3 |
| Fit | 53% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Social media monitoring and open-source intelligence · United States
Dataminr is a New York–based artificial intelligence company that scans social media and other publicly available data in real time to generate alerts, and its tools are widely used to facilitate government and law enforcement monitoring.
Close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 80% | 60% | +48.2 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 53% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame industry | 53% | 100% | +53.1 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionNeither size, country nor business model known for both: left out. | n/a | — | — |
| Fit | 53% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
Company · Software Publishers · United States
Global online survey, forms and feedback SaaS platform used by businesses, researchers (and students) and individuals
Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 49% | 63% | +31.1 |
| IndustrySame industry | 53% | 32% | +16.8 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.3 |
| Fit | 53% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Facial recognition and biometrics · United States
Equitus provides a product called the Equitus Video Sentinel (EVS), which transforms raw video streams into actionable intelligence using AI-driven analytics.
Close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 80% | 60% | +48.1 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 53% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Social media monitoring and open-source intelligence · United States
Crimson Hexagon, a Boston-based social media analytics firm, specializes in using artificial intelligence to analyze vast amounts of public social media data, providing insights for clients ranging from corporations like Adidas to government agencies such as the U.S.
Close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 79% | 60% | +47.5 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.0 |
| Fit | 53% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame industry | 53% | 75% | +39.8 |
| Shared parts5 distinctive parts on both public maps. | 51% | 13% | +6.4 |
| Size & regionCountry different · size not known for both · model same. | 50% | 13% | +6.3 |
| Fit | 52% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
Company · Surveillance technology vendors · Israel
The Gospel is an AI target-creation platform which provides assasination targets in Palestine.
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 87% | 60% | +52.4 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 52% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Custom Computer Programming Services · Israel
Software development company
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 87% | 60% | +52.4 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 30% | +0.0 |
| Shared partsNo distinctive part in common. | 0% | 5% | +0.0 |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 52% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Software Publishers · United States
CRM company that builds customer support and sales software which aims for quick implementation and adaptation at scale
Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Later's, against an ordinary organization. | 48% | 63% | +30.2 |
| IndustrySame industry | 53% | 32% | +16.8 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.3 |
| Fit | 52% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
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