# Synthetic Design Lab

**Canonical:** https://apis.io/providers/synthetic-design-lab/  
**Website:** https://www.syntheticdesignlab.com/  
**APIs profiled:** 0

Synthetic Design Lab is a clinical-stage biotechnology company founded in 2022 developing next-generation antibody-drug conjugates (ADCs) for cancer therapy. Its SYNTHBODY platform and SYNTHBODY Engine engineer multispecific biologics with layered BIO-LOGIC control mechanisms and targeted payload delivery reported at 10x or more versus conventional ADCs. The company emerged from stealth in April 2025 with a $20M seed round led by Playground Global and Godfrey Capital, and is led by CEO Daniel S. Chen (formerly Global Head of Cancer Immunotherapy Development at Genentech) and CSO Ramesh Baliga. This is a therapeutics research company with no public API, SDK, or developer surface at the time of enrichment.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Tags

Company, Engineered Biology, Biotechnology, Therapeutics, Oncology, Antibody-Drug Conjugates, Drug Discovery, Cancer

---

Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/synthetic-design-lab/). Scores are computed from the provider's own public artifacts under a published rubric.