Every organization in the registry ranked by its fit to Daytona (Company, Machine learning and AI developer tooling), 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 · Machine learning and AI developer tooling · France
The AI Agent Cloud. An isolated machine for every AI agent: run code, browse, use tools, pause, fork.
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 85% | 67% | +56.4 |
| 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 | 88% | ||
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
Very close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 100% | 67% | +66.7 |
| 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 | 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 · Foundation model developers · France
French AI company
Very close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 97% | 67% | +64.5 |
| 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 | 84% | ||
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
Very close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 89% | 67% | +59.4 |
| 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 | 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 · Foundation model developers · United States
American research company
Very close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 86% | 67% | +57.0 |
| 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 | 77% | ||
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 Daytona's, against an ordinary organization. | 91% | 67% | +60.6 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 33% | +10.5 |
| 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 | 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 · 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
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 58% | 67% | +38.8 |
| 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 | 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 · Cybersecurity software vendors · United States
Company in West Lafayette, United States
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 87% | 67% | +58.2 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 33% | +10.5 |
| 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 · Finland
Eficode offers consultancy, advisory, training, and support that enable organizations with an AI-native software lifecycle—safely, profitably and at scale
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 100% | 67% | +66.7 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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 | 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
United States-based software company developing AI-powered inbox intelligence for property management operations.
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 68% | 67% | +45.2 |
| 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 | 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 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 Daytona's, against an ordinary organization. | 67% | 67% | +44.9 |
| 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 | 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
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 Daytona's, against an ordinary organization. | 80% | 67% | +53.0 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 33% | +10.5 |
| 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 | 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 · Switzerland
Swiss AI-powered marketing attribution and budget optimization software company
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 64% | 67% | +42.5 |
| 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 | 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
AI recruiting platform for US healthcare hiring
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 78% | 67% | +51.8 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 33% | +10.5 |
| 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 | 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 · Custom Computer Programming Services · United States
Optimize your industrial operations with AspenTech AI-powered software. Reduce costs, manage data & maximize performance across the entire asset lifecycle.
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 93% | 67% | +61.8 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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 | 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 · 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 Daytona's, against an ordinary organization. | 63% | 67% | +41.7 |
| 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 | 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 · License plate recognition and video analytics · United Arab Emirates
Presight AI is a spun-off arm of the Abu Dhabi firm G42, overseen by the UAE's powerful national security adviser.
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 91% | 67% | +60.8 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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
Global software company
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 75% | 67% | +49.9 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 33% | +10.5 |
| 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 | 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 · 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 Daytona's, against an ordinary organization. | 75% | 67% | +49.8 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 33% | +10.5 |
| 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 | 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 · 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 Daytona's, against an ordinary organization. | 61% | 67% | +40.4 |
| 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 | 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 · Cybersecurity software vendors · United States
American mobile security company
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 75% | 67% | +49.7 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 33% | +10.5 |
| 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 | 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 · Switzerland
Swiss software company for AI construction-site documentation
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 74% | 67% | +49.6 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 33% | +10.5 |
| 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 | 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 doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 74% | 67% | +49.3 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 33% | +10.5 |
| 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 | 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 · Cybersecurity software vendors · United Kingdom
Snyk (pronounced sneak) is a developer-first platform for securing code, dependencies, containers, and infrastructure as code
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 74% | 67% | +49.0 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 33% | +10.5 |
| 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 | 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 · United States
American artificial intelligence corporation
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 59% | 67% | +39.4 |
| 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 | 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 · Germany
AI-powered recruiting software for German SMEs
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 73% | 67% | +48.6 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 33% | +10.5 |
| 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 | 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 · Companies · United States
Award-winning and AI-powered Legal, GRC, and HR software that unites your teams and accelerates business performance.
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 89% | 67% | +59.1 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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 | 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 · B2B SaaS · United States
Influencer marketing built for creators and trusted by brands. Run campaigns, manage social media, and track performance with AI-powered insights.
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 72% | 67% | +48.2 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 33% | +10.5 |
| 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 | 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.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 72% | 67% | +48.2 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 33% | +10.5 |
| 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 | 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
The pursuit intelligence platform for architecture, engineering, and construction firms
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 72% | 67% | +48.0 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 32% | 33% | +10.5 |
| 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 | 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 · 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 Daytona's, against an ordinary organization. | 58% | 67% | +38.7 |
| 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 | 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 · Companies · United States
A10 offers application security and infrastructure solutions to help you build high-performance, AI-ready infrastructure for mission-critical apps and networks.
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 87% | 67% | +58.2 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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 | 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 · 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 Daytona's, against an ordinary organization. | 57% | 67% | +38.1 |
| 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 | 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 · Staffing · India
Zeko AI is an enterprise-grade capability intelligence platform that delivers AI-driven interviews, smart screening, and deep talent insights, built for companies making strategic, recurring hires at scale rather than high-volume resume filtering.
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 86% | 67% | +57.6 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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 | 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 · Companies · Australia
Unlock the power of AI with BrainChip. Enhance data processing, Edge apps and neural networks at the speed of tomorrow.
Very close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 86% | 67% | +57.6 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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 | 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 · 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 Daytona's, against an ordinary organization. | 56% | 67% | +37.6 |
| 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 | 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 · United States
Google division dedicated to artificial intelligence
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 55% | 67% | +36.9 |
| 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 | 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 · Real estate & property management · United Kingdom
AI-powered real estate and property technology platform for property investors, developers, and asset managers
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 85% | 67% | +56.4 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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 | 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 · United States
Sandboxes, persistent computers, deployments, data, and customer infrastructure for software-building products.
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 37% | 67% | +24.4 |
| 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 | 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 artificial intelligence research organization
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 54% | 67% | +35.8 |
| 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 | 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 · Surveillance technology vendors · China
GEOAI, also known as Guangzhou ImapCloud Intelligent Technology Co., Ltd., develops drone docking stations, edge computing modules, and AI-powered sensors to create integrated sky-to-ground monitoring systems.
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 83% | 67% | +55.4 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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
AI automation for critical processes. Appian orchestrates AI agents, systems, and people on an enterprise platform, without replacing your systems.
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 83% | 67% | +55.1 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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
Varonis connects data, AI, and threat detection into one complete security platform that allows companies to keep innovating, without increasing risk.
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 82% | 67% | +54.8 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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 · 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.
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 82% | 67% | +54.7 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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 · Poland
We deliver custom software development and tech consulting, combining strategy, AI, and engineering to help businesses adapt and scale.
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 82% | 67% | +54.5 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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 | 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 · Residential Property Managers
AI-powered co-host platform for vacation rental guest messaging and property management
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 81% | 67% | +54.1 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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 | 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 · Artificial intelligence · United States
American practical-systems studio building AI automation for small businesses; also operates a private commercial real estate acquisitions group
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 51% | 67% | +34.2 |
| 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 | 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 · 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 Daytona's, against an ordinary organization. | 51% | 67% | +33.9 |
| 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 | 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 · Artificial intelligence · United States
American infrastructure & technology company
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 51% | 67% | +33.8 |
| 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 | 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 · IT services
.node--type-landing-page blockquote {background: none; font-weight: inherit; font-size: inherit;} .node--type-landing-page blockquote:before {background: none} .node--type-landing-page blockquote:after {background: none} Optimize your portfolio of projects, execute them smarter, and let embedded AI agents handle the…
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 80% | 67% | +53.5 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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 | 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 · Artificial intelligence · United States
Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 50% | 67% | +33.2 |
| 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 | 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 · Companies · United Kingdom
Arria turns data into text at machine speed, delivering mission-critical Generative AI language automation for enterprise.
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 80% | 67% | +53.0 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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.
Company · Facial recognition and biometrics · Ireland
AxxonSoft is a software company that develops systems for large scale video surveillance, AI-powered analytics, facial recognition, and law enforcement applications.
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 79% | 67% | +52.9 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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.
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.
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 79% | 67% | +52.6 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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.
Company · Custom Computer Programming Services · United States
American software company
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 79% | 67% | +52.4 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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 | 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 · Surveillance technology vendors · United Arab Emirates
Bold Technologies, an Emirati company, is a supplier of cyber intelligence, forensics, and related tools to various government agencies.
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 78% | 67% | +52.1 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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 | 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
AI voice technology company specializing in Speech to Text and Text to Speech.
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 48% | 67% | +32.3 |
| 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 | 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 · Belgium
Leading digital engineering consultancy specializing in human-centered AI. Deep expertise in AI, data, cloud & edge computing worldwide.
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 78% | 67% | +52.0 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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 | 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 Daytona's, against an ordinary organization. | 48% | 67% | +32.1 |
| 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 | 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 · Companies · Sweden
Know exactly what's in your software. FossID scans your entire codebase for open source, AI-generated code, and third-party components - without slowing your team down.
Close in what it does
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Daytona's, against an ordinary organization. | 77% | 67% | +51.6 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 33% | +0.0 |
| 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 | 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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