Biostate AI website screenshot

Biostate AI

Biostate AI is a Houston-based precision-health biotechnology company combining proprietary wet-lab chemistry with generative AI to make RNA and DNA sequencing dramatically cheaper and more accessible. Its BIRT (Barcode-Integrated Reverse Transcription) plus PERD (Probes for Excess RNA Depletion) platform delivers Total RNA sequencing from around $60 per sample, and its N-Act and RNAstate AI models turn omics data into clinical insights for autoimmune, cardiovascular, and cancer diagnostics. The company operates a cloud data lake for AI-ready omics data and runs research partnerships across the U.S., India, and China. As of this profile Biostate publishes a marketing and publications site plus open research model repositories on GitHub, but exposes no public developer API, OpenAPI, SDK client library, or developer portal.

Biostate AI is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, RNA Sequencing, Genomics, and Bioinformatics.

Biostate AI’s developer surface includes engineering blog, pricing, and 6 more developer resources.

12.0/100 emerging ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanyArtificial IntelligenceRNA SequencingGenomicsBioinformaticsPrecision HealthDiagnosticsBiotechnologyMachine-Learning

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Regulatory Posture applies to this provider. Its tags matched the Health regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/biostate-ai: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Biostate Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: biostate-ai
name: Biostate AI
description: Biostate AI is a Houston-based precision-health biotechnology company combining proprietary wet-lab chemistry
  with generative AI to make RNA and DNA sequencing dramatically cheaper and more accessible. Its BIRT (Barcode-Integrated
  Reverse Transcription) plus PERD (Probes for Excess RNA Depletion) platform delivers Total RNA sequencing from around $60
  per sample, and its N-Act and RNAstate AI models turn omics data into clinical insights for autoimmune, cardiovascular,
  and cancer diagnostics. The company operates a cloud data lake for AI-ready omics data and runs research partnerships across
  the U.S., India, and China. As of this profile Biostate publishes a marketing and publications site plus open research model
  repositories on GitHub, but exposes no public developer API, OpenAPI, SDK client library, or developer portal.
url: https://raw.githubusercontent.com/api-evangelist/biostate-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- accel
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
image: https://www.biostate.ai/images/logo.png
tags:
- Company
- Artificial Intelligence
- RNA Sequencing
- Genomics
- Bioinformatics
- Precision Health
- Diagnostics
- Biotechnology
- Machine-Learning
tags_raw:
- Company
- Ai
- RNA Sequencing
- Genomics
- Bioinformatics
- Precision Health
- Diagnostics
- Biotechnology
- Machine Learning
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://biostate.ai/
- type: GitHubOrganization
  url: https://github.com/BiostateAI
- type: Blog
  url: https://www.biostate.ai/news
- type: Pricing
  url: https://www.biostate.ai/rna-sequencing
- type: TermsOfService
  url: https://www.biostate.ai/sales-tc
- type: PrivacyPolicy
  url: https://www.biostate.ai/privacy
- type: Publications
  url: https://www.biostate.ai/publications
- type: DomainSecurity
  url: security/biostate-ai-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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