# Pattern Bioscience

**Canonical:** https://apis.io/providers/pattern-bioscience/  
**Website:** https://pattern.bio/  
**APIs profiled:** 0

Pattern Bioscience is a privately held in vitro diagnostics company founded in 2016 and headquartered in Austin, Texas, developing a culture-free Single-Cell Microbiology system for rapid bacterial identification and antibiotic susceptibility testing (ID/AST). The platform isolates individual bacterial cells in picoliter-scale droplets and reads the metabolic patterns those cells produce over time, using machine learning to identify the pathogen and determine phenotypic susceptibility in hours instead of the days a culture workflow requires. The company holds FDA Breakthrough Device Designation for its Pneumonia Action Panel, raised $43M in Series D financing in November 2025 to pursue FDA clearance, and is backed by Illumina Ventures, Omnimed Capital, CARB-X, the AMR Action Fund and a $22.5M BARDA contract. Pattern is pre-commercial: it publishes a marketing and news site at pattern.bio and no public API, developer portal, SDK or machine-readable specification.

## Kin Score — 12.2 / 100 (minimal)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 12.2).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 6.5 |
| Commercial Clarity | 21.1 |

Regulatory layer — **Health**: 17.5 (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)

- **Pattern Bioscience Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Diagnostics, Healthcare, Medical Devices, In Vitro Diagnostics, Microbiology, Antimicrobial Resistance, Life Sciences, Machine Learning, Austin

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