Playground Global
Playground Global is an early-stage deep tech venture capital firm founded in 2015 by Andy Rubin, Bruce Leak, Matt Hershenson, and Peter Barrett, and headquartered at 380 Portage Ave, Palo Alto, California. The firm invests "somewhere between improbable and impossible," backing technical founders who take large technology risks and build companies from first principles. Playground concentrates on four pillars: next-gen compute (quantum computing, novel AI chip architectures, advanced interconnects, and semiconductors), automation (robotics, supply-chain and industrial automation with tangible ROI), energy transition and decarbonization, and engineered biology (AI-driven drug discovery, RNA editing, and next-generation therapies). It invests at the earliest stages, often at company formation, and operates Studio Palo Alto, a lab and prototyping environment for hardware and deep-science founders. Reported assets under management are over $1.2 billion across its funds. Notable portfolio companies include PsiQuantum, Relativity Space, Ultima Genomics, d-Matrix, Velo3D (NYSE), and MosaicML (acquired by Databricks).
Playground Global has 46 portfolio companies tracked on the APIs.io network, of which 5 (11%) publish APIs indexed here. The remaining 40 are tracked as profiles without a published API on the network.
Its highest-rated API providers on the network are MosaicML, Skydio, Relativity Space, Velo3D, NVision Imaging Technologies.
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 1 Solid coverage with minor gaps
Thin 1 Limited public surface area
Emerging 2 Early or largely undocumented
Minimal 1 Almost no public developer surface
Rest of Portfolio
1 further portfolio companies that don’t yet have a provider page on the network.
Scroll for all 1
Properties
Portfolio
Where the firm publishes its investments
Cohort brief
Auto-generatedThe 37 portfolio companies with APIs in the catalog, backed by Playground Global, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Contract Governance | 1.5 | 7 | -5.5 | 37 |
| Discoverability | 51.6 | 58 | -6.4 | 37 |
| Operational Transparency | 4.5 | 13.2 | -8.7 | 37 |
| Contract Quality | 5.1 | 17.7 | -12.6 | 37 |
| Developer Ergonomics | 9.9 | 23.8 | -13.9 | 37 |
| Access Clarity | 9.9 | 26.5 | -16.6 | 37 |
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) | 8% | 15% | -7 |
| MCP server (first-party) | 8% | 13% | -5 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 0% | 12% | -12 |
| Security | 100% | 98% | +2 |
| Arazzo workflows | 3% | 2% | +1 |
| Governance rules | 3% | 18% | -15 |
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 Databricks
- 2 Skydio
- 3 RapidSOS
- 4 Nauto
- 5 Anjuna
- 6 Relativity Space
- 7 Ultimagenomics
- 8 Velo3D
- 9 Virta Health
- 10 d-Matrix
- 1 Databricks {"score" => 58.9, "band" => "agent-ready"}
- 2 Skydio {"score" => 17.9, "band" => "agent-aware"}
- 3 Relativity Space {"score" => 13.6, "band" => "agent-aware"}
- 4 Velo3D {"score" => 13.6, "band" => "agent-aware"}
- 5 Owl Labs {"score" => 12.2, "band" => "agent-aware"}
- 6 Anjuna {"score" => 9.3, "band" => "agent-aware"}
- 7 RapidSOS {"score" => 0, "band" => "human-only"}
- 8 Nauto {"score" => 0, "band" => "human-only"}
- 9 Ultimagenomics {"score" => 0, "band" => "human-only"}
- 10 Virta Health {"score" => 0, "band" => "human-only"}
Coverage caveat. 37 of 37 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.