CompanyML and AI developer toolsFrance
E2B is a company in ml and ai developer tools founded on 13 May 2004[1], registered in France (FR)[1] and based in Paris, France[1].
“The AI Agent Cloud. An isolated machine for every AI agent: run code, browse, use tools, pause, fork.”[2]
Each with its fit to E2B, 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. 85% and above is a direct peer, 70 to 85 close, 60 to 70 related; under 65 is left out, so there may be few. Open a row for its breakdown.
Company · Foundation model developers · United States
American research company
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 88% | 63% | +55.9 |
| 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 | 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 · France
French AI company
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 85% | 60% | +51.0 |
| 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
InferredBuild Custom Agents, search across all your apps, and automate busywork. The AI workspace where teams get more done, faster.
| 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
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 82% | 63% | +52.1 |
| 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 | 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.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to E2B's, against an ordinary organization. | 74% | 67% | +49.4 |
| 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 | 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
| 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.
© 2026 System Atlas · Built by MIOSA
Free to map your own company · Members $300 a year