Every organization in the registry ranked by its fit to E2B (Company, Machine learning and AI developer tooling, France), 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 · Foundation model developers · France
French AI company
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 85% | 60% | +50.9 |
| IndustrySame segment | 60% | 30% | +17.9 |
| 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 | 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
Build Custom Agents, search across all your apps, and automate busywork. The AI workspace where teams get more done, faster.
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 100% | 63% | +63.2 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 32% | +10.0 |
| 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 | 73% | ||
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 · Russia
Russian IT company developing an AI platform for mining haulage optimization
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 82% | 63% | +52.0 |
| IndustrySame segment | 60% | 32% | +18.8 |
| 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 | 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 · Foundation model developers
AI voice technology company specializing in Speech to Text and Text to Speech.
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 74% | 67% | +49.3 |
| IndustrySame segment | 60% | 33% | +19.8 |
| 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 | 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
AI-driven mineral exploration technology company
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 72% | 67% | +47.9 |
| IndustrySame segment | 60% | 33% | +19.8 |
| 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 | 68% | ||
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 segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 76% | 63% | +48.2 |
| IndustrySame segment | 60% | 32% | +18.8 |
| 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 · Artificial intelligence · United States
Google division dedicated to artificial intelligence
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 74% | 63% | +46.6 |
| IndustrySame segment | 60% | 32% | +18.8 |
| 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 | 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 · Foundation model developers · United States
American artificial intelligence corporation
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 79% | 60% | +47.4 |
| IndustrySame segment | 60% | 30% | +17.9 |
| 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 | 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 · Artificial intelligence · Sweden
Swedish software company
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 78% | 60% | +46.9 |
| IndustrySame segment | 60% | 30% | +17.9 |
| 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 | 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 · Artificial intelligence · United Kingdom
Technology company providing AI and data infrastructure for the energy sector
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 72% | 63% | +45.7 |
| IndustrySame segment | 60% | 32% | +18.8 |
| 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 | 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 · Artificial intelligence · Sweden
AI based software to generate application code
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 72% | 63% | +45.3 |
| IndustrySame segment | 60% | 32% | +18.8 |
| 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 | 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 · Artificial intelligence · United States
American practical-systems studio building AI automation for small businesses; also operates a private commercial real estate acquisitions group
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 71% | 63% | +44.8 |
| IndustrySame segment | 60% | 32% | +18.8 |
| 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 | 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 · Artificial intelligence · United States
American artificial intelligence corporation
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 70% | 63% | +44.1 |
| IndustrySame segment | 60% | 32% | +18.8 |
| 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 | 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 · Poland
AI customer service software company
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 70% | 63% | +43.9 |
| IndustrySame segment | 60% | 32% | +18.8 |
| 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 | 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
American cloud-based software company
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 89% | 60% | +53.2 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 30% | +9.5 |
| 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 | 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 · Taiwan
Taiwanese AI and multimedia software company
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 74% | 60% | +44.6 |
| IndustrySame segment | 60% | 30% | +17.9 |
| 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 | 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 · Software Publishers · worldwide
AI-driven supply chain platform
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 82% | 63% | +51.8 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 32% | +10.0 |
| 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 | 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 · Czech Republic
Thousands of tools to automate your business. Get real-time web data, track competitors, generate leads, and integrate your apps and AI agents.
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B'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 · United States
AI automation for critical processes. Appian orchestrates AI agents, systems, and people on an enterprise platform, without replacing your systems.
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B'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 · Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services · United States
American cloud infrastructure provider
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B'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 · Foundation model developers · China
Chinese artificial intelligence company
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 69% | 60% | +41.2 |
| IndustrySame segment | 60% | 30% | +17.9 |
| 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 | 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 · Australia
Australian technology company
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 65% | 60% | +39.2 |
| IndustrySame segment | 60% | 30% | +17.9 |
| 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 | 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 · Software Publishers · Argentina
Argentine AI software company for the travel industry
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 74% | 63% | +46.4 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 32% | +10.0 |
| 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 | 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 · Artificial intelligence · United Kingdom
UK property management company operating an AI-native lettings agency platform
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 59% | 63% | +37.4 |
| IndustrySame segment | 60% | 32% | +18.8 |
| 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 | 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.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 59% | 63% | +37.0 |
| IndustrySame segment | 60% | 32% | +18.8 |
| 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 | 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 · Foundation model developers · United States
American research company
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 63% | 60% | +37.8 |
| IndustrySame segment | 60% | 30% | +17.9 |
| 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 | 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 software company (1993-)
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 77% | 60% | +46.1 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 30% | +9.5 |
| 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 | 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 · Machine learning and AI developer tooling
Deploy AI code with confidence using Daytona
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 35% | 67% | +23.5 |
| IndustrySame segment | 95% | 33% | +31.8 |
| 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 | 55% | ||
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
Instinct meets AI. Arctic Wolf Aurora's built-in agents operate at machine speed while human experts maintain oversight.
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 92% | 60% | +55.3 |
| 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 | 55% | ||
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 · Foundation model developers · United States
American artificial intelligence and social media division of SpaceX
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 58% | 63% | +36.4 |
| IndustrySame segment | 60% | 32% | +18.8 |
| 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 | 55% | ||
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
United States-based software company developing AI-powered inbox intelligence for property management operations.
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 57% | 63% | +36.3 |
| IndustrySame segment | 60% | 32% | +18.8 |
| 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 | 55% | ||
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 · Canada
Wholesale account management software company
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 56% | 63% | +35.4 |
| IndustrySame segment | 60% | 32% | +18.8 |
| 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 | 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 · Foundation model developers · United Kingdom
Artificial intelligence company owned by Google
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 61% | 60% | +36.4 |
| IndustrySame segment | 60% | 30% | +17.9 |
| 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 | 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 · Research · Canada
A think tank and NGO ensuring everyone can access the conversation on how AI is implemented in society. Meet our fellows, works, and governance tools.
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 90% | 60% | +54.2 |
| 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 different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| 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.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 74% | 60% | +44.5 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 30% | +9.5 |
| 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 | 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
Global software company
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 74% | 60% | +44.5 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 30% | +9.5 |
| 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 | 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
Robotics process automation company
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 73% | 60% | +43.8 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 30% | +9.5 |
| 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 | 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 · Cybersecurity software vendors · United States
Software company
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 73% | 60% | +43.7 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 30% | +9.5 |
| 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 | 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 doesHow close what it says it does reads to E2B's, against an ordinary organization. | 73% | 60% | +43.6 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 30% | +9.5 |
| 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 | 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 doesHow close what it says it does reads to E2B's, against an ordinary organization. | 72% | 60% | +43.4 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 30% | +9.5 |
| 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 | 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 · Artificial intelligence · Switzerland
Swiss AI-powered marketing attribution and budget optimization software company
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 53% | 63% | +33.6 |
| IndustrySame segment | 60% | 32% | +18.8 |
| 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 | 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 · Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services · United States
American public company
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 86% | 60% | +51.9 |
| 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 · Cybersecurity software vendors · United States
Cybersecurity company
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 71% | 60% | +42.4 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 30% | +9.5 |
| 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 · Artificial intelligence · Netherlands
Dutch company developing a portfolio of AI-related technology assets
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 52% | 63% | +33.0 |
| IndustrySame segment | 60% | 32% | +18.8 |
| 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 | 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 · Foundation model developers · United States
American artificial intelligence research organization
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 56% | 60% | +33.7 |
| IndustrySame segment | 60% | 30% | +17.9 |
| 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 · Artificial intelligence · United States
American multinational computer software company
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 56% | 60% | +33.5 |
| IndustrySame segment | 60% | 30% | +17.9 |
| 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 | 51% | ||
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 · Machine learning and AI developer tooling · United States
Kinetic Seas is an AI consulting and infrastructure firm, a Certified Member of the Claude Partner Network, and the developer and maintainer of the MaluDB Memory System, the MaluDb Application Framework and ProcessCore food ERP.
Same segment · 1 distinctive shared part
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 36% | 60% | +21.5 |
| IndustrySame segment | 95% | 30% | +28.6 |
| Shared parts1 distinctive part on both public maps. | 14% | 5% | +0.7 |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 51% | ||
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
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 67% | 60% | +40.4 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 30% | +9.5 |
| 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 | 50% | ||
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
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 67% | 60% | +40.4 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 30% | +9.5 |
| 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 | 50% | ||
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 · Isreal
AI-based career networking platform
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 49% | 63% | +31.0 |
| IndustrySame segment | 60% | 32% | +18.8 |
| 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 | 50% | ||
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
Financial and corporate software company
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 66% | 60% | +39.7 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 30% | +9.5 |
| 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 | 49% | ||
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
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 66% | 60% | +39.4 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 30% | +9.5 |
| 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 | 49% | ||
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 analytics and artificial intelligence company
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 51% | 60% | +30.9 |
| IndustrySame segment | 60% | 30% | +17.9 |
| 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 | 49% | ||
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
International scientific society
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 51% | 60% | +30.6 |
| IndustrySame segment | 60% | 30% | +17.9 |
| 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 | 48% | ||
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
Swedish AI company for construction and infrastructure
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 47% | 63% | +29.5 |
| IndustrySame segment | 60% | 32% | +18.8 |
| 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 | 48% | ||
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 · United States
Specializing in artificial intelligence since 1988, we deliver software systems to solve problems which defy traditional approaches.
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B'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 different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 48% | ||
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 · IT services · United States
American multinational information technology
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 79% | 60% | +47.3 |
| 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 | 47% | ||
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 Multinational Company
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 49% | 60% | +29.3 |
| IndustrySame segment | 60% | 30% | +17.9 |
| 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 | 47% | ||
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 · Corporate, Subsidiary, and Regional Managing Offices · France
A French company in the digital sector
Close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 69% | 60% | +41.7 |
| 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 | 47% | ||
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 · IT services · United States
Developer of AI and data security software
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 73% | 63% | +46.2 |
| 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 different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 46% | ||
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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