# Prellis Biologics

**Canonical:** https://apis.io/providers/prellis-biologics/  
**Website:** https://prellisbio.com/  
**APIs profiled:** 0

Prellis Biologics is a Berkeley, California biotechnology company that discovers fully human antibody therapeutics by combining wet-lab human immunology with machine learning. Its EXIS (Externalized Immune System) platform uses LNO lymph node organoids — 3D tissue printed with holographic two-photon photolithography — to recreate human lymph node biology in vitro, raise true human antibody responses across genetically diverse donors, and feed the resulting sequence and characterization data into generative AI models that predict and optimize candidates in an iterative lab loop. The company sells antibody discovery collaborations and licensed therapeutic programs to pharmaceutical partners rather than software, and publishes no public developer program, API, SDK, or machine-readable specification.

## Kin Score — 10.2 / 100 (minimal)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 10.2).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 6.5 |
| Commercial Clarity | 10.5 |

Regulatory layer — **Health**: 12.5 (matched via tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | 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 |

## Security (1)

- **Prellis Biologics Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Company, Biotechnology, Life Sciences, Antibody Discovery, Drug Discovery, Artificial Intelligence, Machine Learning, Bioprinting, Therapeutics, Research

---

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