Wing Venture Capital
Wing Venture Capital is an early-stage venture firm founded in 2013 by Peter Wagner and Gaurav Garg (both former partners at Sequoia Capital and Accel) and headquartered in Palo Alto, California. Wing invests at the stealth, seed, and Series A stages in companies building the "AI-first" technology stack, and positions itself as a long-term company builder rather than a passive investor. Its thesis spans autonomous applications, AI and machine learning, data platforms and infrastructure, product-led growth (PLG), Web3, and bio x data. Wing raised its fourth flagship fund, Wing Four, a $600M early-stage vehicle, in 2023. Notable outcomes across its portfolio include Snowflake, Cohesity, Gong, Shape Security, and Deepgram, and it operates a Founder Success Platform plus the ET30 (Enterprise Tech 30) research program led by its research team.
Wing Venture Capital has 105 portfolio companies tracked on the APIs.io network, of which 43 (41%) publish APIs indexed here. The remaining 62 are tracked as profiles without a published API on the network.
Its highest-rated API providers on the network are Snowflake Computing, Dust, Tigera, Cohesity, Gong.
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.
Exemplar 4 Complete, well-documented, and agent-ready
Developing 12 Usable, with meaningful gaps to close
Thin 11 Limited public surface area
Emerging 8 Early or largely undocumented
Properties
Portfolio
Where the firm publishes its investments
Cohort brief
Auto-generatedThe 90 portfolio companies with APIs in the catalog, backed by Wing Venture Capital, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Access Clarity | 31.1 | 27.2 | +3.9 | 90 |
| Developer Ergonomics | 27.2 | 23.8 | +3.4 | 90 |
| Operational Transparency | 17.4 | 14.4 | +3 | 90 |
| Discoverability | 62 | 61.5 | +0.5 | 90 |
| Contract Governance | 6 | 6.6 | -0.6 | 90 |
| Contract Quality | 19.2 | 20.4 | -1.2 | 90 |
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) | 12% | 11% | +1 |
| MCP server (first-party) | 16% | 13% | +3 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 9% | 12% | -3 |
| Security | 97% | 96% | +1 |
| Arazzo workflows | 3% | 2% | +1 |
| Governance rules | 11% | 13% | -2 |
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.
Source (apis.yml)
Work with this as data
Every firm here is available over the APIs.io API and to AI agents over MCP.