Every organization in the registry ranked by its fit to Google AI (Company, Artificial intelligence, 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 · Foundation model developers · United States
American artificial intelligence research organization
Very close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 100% | 63% | +63.2 |
| IndustrySame segment; both artificial intelligence on Wikidata | 89% | 32% | +28.2 |
| 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 | 97% | ||
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
Very close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 97% | 63% | +61.0 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 | 94% | ||
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
Very close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 100% | 63% | +63.2 |
| IndustrySame segment; both artificial intelligence on Wikidata | 75% | 32% | +23.5 |
| 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 | 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 · Artificial intelligence · United States
American analytics and artificial intelligence 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 Google AI's, against an ordinary organization. | 83% | 63% | +52.4 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 | 85% | ||
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 · India
American manufacturer of computer hardware sensor devices
Close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 84% | 63% | +52.9 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 | 80% | ||
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
Very close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 89% | 63% | +56.2 |
| IndustrySame segment; both artificial intelligence on Wikidata | 60% | 32% | +18.8 |
| 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 | 80% | ||
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
Very close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 85% | 63% | +53.9 |
| IndustrySame segment; both artificial intelligence on Wikidata | 62% | 32% | +19.6 |
| 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 | 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 · Artificial intelligence · United States
AI primary care 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 Google AI's, against an ordinary organization. | 73% | 63% | +45.9 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 | 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
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 Google AI's, against an ordinary organization. | 83% | 67% | +55.4 |
| IndustrySame segment; both artificial intelligence on Wikidata | 67% | 33% | +22.3 |
| 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 | 78% | ||
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
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 68% | 63% | +42.9 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 | 76% | ||
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 · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 81% | 63% | +51.4 |
| IndustrySame segment; both artificial intelligence on Wikidata | 60% | 32% | +18.8 |
| 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 | 75% | ||
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
Close in what it does · Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 67% | 63% | +42.1 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 | 75% | ||
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
Close in what it does · Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 82% | 63% | +51.7 |
| IndustrySame industry; both artificial intelligence on Wikidata | 57% | 32% | +17.9 |
| 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 | 75% | ||
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
Very close in what it does · Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 86% | 63% | +54.1 |
| IndustrySame segment; both artificial intelligence on Wikidata | 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 | 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 · Cybersecurity software vendors · United States
Computer security division of IBM
Close in what it does · Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 77% | 63% | +48.6 |
| 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 | 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.
Nonprofit · Nonprofits and civil society · Germany
German research institute
Close in what it does · Shared kind: artificial intelligence
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 78% | 63% | +49.3 |
| Industryboth artificial intelligence on Wikidata | 65% | 32% | +20.6 |
| 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 | 70% | ||
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
Video game company
Close in what it does · Same industry
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 62% | 67% | +41.2 |
| IndustrySame industry; both division on Wikidata | 81% | 33% | +27.2 |
| 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 · 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 Google AI's, against an ordinary organization. | 65% | 63% | +40.7 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 | 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 · 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 Google AI's, against an ordinary organization. | 63% | 63% | +39.8 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 Kingdom
Technology company providing AI and data infrastructure for the energy sector
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 60% | 63% | +37.7 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 · United States
American AI venture builder focused on proptech and govtech
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 51% | 63% | +32.0 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 | 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 · Germany
IT and digital services division of the Schwarz Group
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 59% | 63% | +37.1 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 · Russia
Russian IT company developing an AI platform for mining haulage optimization
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 58% | 63% | +36.4 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 · Isreal
AI-based career networking platform
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 57% | 63% | +35.9 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 · Motor Vehicle Manufacturing · United States
Division of General Motors
Shared kind: division · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 58% | 63% | +36.8 |
| Industryboth division on Wikidata | 67% | 32% | +21.3 |
| 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.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 56% | 63% | +35.2 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 · Software Publishers · United States
American technology 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 Google AI's, against an ordinary organization. | 62% | 63% | +39.4 |
| 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 | 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
American multinational technology company, a subsidiary of Alphabet Inc.
Close in what it does · Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 62% | 63% | +39.4 |
| 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 | 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 · Audio and Video Equipment Manufacturing · United States
Subsidiary of Google that manufactures and distributes fitness trackers
Very close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 88% | 63% | +55.6 |
| 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 | 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 · Aerospace Product and Parts Manufacturing · Japan
Japanese company division
Shared kind: division
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 57% | 63% | +35.9 |
| Industryboth division on Wikidata | 78% | 32% | +24.7 |
| 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 · Artificial intelligence
AI-driven mineral exploration technology company
Same segment
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 47% | 67% | +31.2 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 33% | +29.1 |
| 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 | 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 · United States
International scientific society
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 43% | 63% | +27.4 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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.
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 Google AI's, against an ordinary organization. | 51% | 63% | +32.3 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 | 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 · 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 Google AI's, against an ordinary organization. | 50% | 63% | +31.8 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 | 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 · Semiconductor and Related Device Manufacturing · United States
American artificial intelligence company
Very close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 86% | 63% | +54.1 |
| 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 | 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
Global software company
Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 59% | 63% | +37.3 |
| 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 | 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
Executive membership community in Silicon Valley.
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 42% | 63% | +26.4 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 · 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 Google AI's, against an ordinary organization. | 50% | 63% | +31.6 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 | 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 · 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 Google AI's, against an ordinary organization. | 49% | 63% | +31.2 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 | 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 Google AI's, against an ordinary organization. | 90% | 63% | +56.7 |
| 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 | 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 · 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 · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 78% | 63% | +49.4 |
| 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 | 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
American practical-systems studio building AI automation for small businesses; also operates a private commercial real estate acquisitions group
Same segment · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 34% | 63% | +21.3 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 50% | 63% | +31.6 |
| 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 | 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 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 · Motor Vehicle Manufacturing · United States
American automotive brand
Shared kind: division · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 41% | 63% | +26.0 |
| Industryboth division on Wikidata | 67% | 32% | +21.3 |
| 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.
Company · Cybersecurity software vendors · United States
Software company
Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 47% | 63% | +29.8 |
| 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.
Company · Cybersecurity software vendors · Russia
Russian multinational cybersecurity and anti-virus provider
Same industry
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 55% | 63% | +34.7 |
| 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 | 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 · 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 · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 29% | 63% | +18.5 |
| IndustrySame segment; both artificial intelligence on Wikidata | 87% | 32% | +27.6 |
| 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 | 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.
| 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 segment | 60% | 86% | +51.0 |
| 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% | 14% | +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. 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 · Cybersecurity software vendors · United States
Award-winning solutions that are easy to deploy and manage, making enterprise-grade security accessible to any organization regardless of size or expertise.
Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 46% | 63% | +28.9 |
| 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 | 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.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 33% | 63% | +21.0 |
| IndustrySame segment | 87% | 32% | +27.6 |
| 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 | 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 · Facial recognition and biometrics · China
Chinese AI company
Shared kind: artificial intelligence
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 41% | 63% | +25.8 |
| Industryboth artificial intelligence on Wikidata | 72% | 32% | +22.7 |
| 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 | 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 business enterprise
Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 42% | 63% | +26.4 |
| 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 | 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 · Software Publishers · China
Company based in China with a branch in the USA
Same industry
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 50% | 63% | +31.5 |
| 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 | 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.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 50% | 63% | +31.5 |
| 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 | 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 · B2B SaaS · United States
American cloud-based software company
Same industry · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 41% | 63% | +26.0 |
| 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 | 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.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Google AI's, against an ordinary organization. | 45% | 67% | +30.3 |
| 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 | 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.
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