Lux Capital
Lux Capital is a New York City-based venture capital firm founded in 2000 by Josh Wolfe, Peter Hebert, and Robert Paull that backs entrepreneurs building companies at the frontier of science and technology, turning "sci-fi into sci-fact." The firm systematically mines academia and government research labs for breakthrough technologies that have matured beyond proof-of-concept but have not yet attracted mainstream venture attention, then makes long-term bets on contrarians and outsiders challenging the status quo. Lux invests primarily at early stage across three focus areas: AI and technology, defense/space/ manufacturing, and biotech/healthcare, with an emphasis on deep tech, robotics, and emerging science. The firm manages roughly $7 billion in assets under management across nine core funds, closing Lux Ventures IX at $1.5 billion in January 2026, and has invested in over 200 companies. Through Lux Labs, launched in 2024, the firm has also helped create more than 20 new companies. Notable portfolio companies include Anduril, Applied Intuition, Databricks, Cognition, Ramp, Runway, Recursion Pharmaceuticals, Planet, and Saildrone. Lux is headquartered in New York City with an additional office in Silicon Valley.
Lux Capital has 102 portfolio companies tracked on the APIs.io network, of which 35 (34%) publish APIs indexed here. The remaining 66 are tracked as profiles without a published API on the network.
Its highest-rated API providers on the network are Modal, Phonic, Databricks, Thatch, Ramp.
Portfolio on the Network
Portfolio companies that publish APIs indexed on APIs.io, grouped by their API Evangelist rating. Exemplar and Strong are expanded by default.
Strong 4 Solid coverage with minor gaps
Developing 8 Usable, with meaningful gaps to close
Thin 16 Limited public surface area
Emerging 5 Early or largely undocumented
Rest of Portfolio
1 further portfolio companies that don’t yet have a provider page on the network.
Scroll for all 1
Properties
Firm
The firm itself
Cohort brief
Auto-generatedThe 86 portfolio companies with APIs in the catalog, backed by Lux Capital, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Discoverability | 57.3 | 58 | -0.7 | 86 |
| Contract Governance | 4.8 | 7 | -2.2 | 86 |
| Contract Quality | 15 | 17.7 | -2.7 | 86 |
| Operational Transparency | 9.8 | 13.2 | -3.4 | 86 |
| Developer Ergonomics | 19.4 | 23.8 | -4.4 | 86 |
| Access Clarity | 20.5 | 26.5 | -6 | 86 |
A facet is averaged over the members that carry it, not over the whole cohort — the “Scored” column is that count. Averaging an absent facet as zero would score our own coverage gaps as the providers’ posture.
| Artifact | This cohort | Catalog | Difference |
|---|---|---|---|
| MCP server (any) | 15% | 15% | 0 |
| MCP server (first-party) | 14% | 13% | +1 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 3% | 12% | -9 |
| Security | 99% | 98% | +1 |
| Arazzo workflows | 3% | 2% | +1 |
| Governance rules | 11% | 18% | -7 |
mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.
- 1 Modal
- 2 Phonic
- 3 Databricks
- 4 Thatch Health
- 5 Ramp
- 6 Cognition Labs
- 7 Runway
- 8 Rivet
- 9 Rigetti Computing
- 10 LangChain
- 1 Databricks {"score" => 58.9, "band" => "agent-ready"}
- 2 Phonic {"score" => 57.9, "band" => "agent-ready"}
- 3 Runway {"score" => 55.5, "band" => "agent-ready"}
- 4 LangChain {"score" => 48.6, "band" => "agent-ready"}
- 5 Ramp {"score" => 40.7, "band" => "agent-ready"}
- 6 Statespace {"score" => 40.7, "band" => "agent-ready"}
- 7 Primer {"score" => 36.2, "band" => "agent-ready"}
- 8 Cognition Labs {"score" => 34.1, "band" => "agent-ready"}
- 9 Modal {"score" => 33, "band" => "agent-ready"}
- 10 Rigetti Computing {"score" => 30.8, "band" => "agent-ready"}
Coverage caveat. 79 of 86 scored members had under half their catalog-attributable points satisfied at all (catalog_earned / catalog_max < 0.5). They are INCLUDED in the mean above. A large share here means the cohort mean is partly a measurement of how far our enrichment reached, not only of how these providers publish.Generated from the catalog build of 2 November 2026, across 37080 providers, using the same computation served by the APIs.io cohort API. Briefs are published for rosters of 5 or more scored providers; below that a distribution is not meaningful.
Source (apis.yml)
Work with this as data
Every firm here is available over the APIs.io API and to AI agents over MCP.