Quris

Quris-AI is a Bio-AI company building what it describes as pharma's first AI safety-prediction platform, aiming to predict which drug candidates will be safe in humans before they reach clinical trials. Its approach couples machine learning with "Patients-on-a-Chip" technology — miniaturized, organ-representative human tissue models that generate automatically-tagged biological data used to train classification algorithms for drug-safety prediction. The company targets the roughly 89% of drugs that fail in clinical trials, seeking to de-risk and accelerate pharmaceutical development. Based in Boston and Tel Aviv, Quris was co-founded with pioneers including Moderna co-founder Robert Langer and Nobel Laureate Aaron Ciechanover. Quris is backed by SoftBank Vision Fund and is profiled in the API Evangelist network as a company lead.

Quris is profiled on the APIs.io network. Tagged areas include Company, Health Tech, Bio-AI, Drug Discovery, and Drug Safety.

Quris’ developer surface includes engineering blog, support, and 4 more developer resources.

🌐 Visit website 📡 Source on GitHub

7.6/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Health TechBio-AIDrug Discovery Drug Safety Clinical Trials Pharmaceuticals Artificial Intelligence Biotechnology

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 7.6/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 1.8 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.3 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

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/quris: 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.

Quris Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 3

The organization behind the API

Website

Website

About

About

Blog

Blog

Source (apis.yml)

aid: quris
name: Quris
description: Quris-AI is a Bio-AI company building what it describes as pharma's first AI safety-prediction platform, aiming
  to predict which drug candidates will be safe in humans before they reach clinical trials. Its approach couples machine
  learning with "Patients-on-a-Chip" technology — miniaturized, organ-representative human tissue models that generate automatically-tagged
  biological data used to train classification algorithms for drug-safety prediction. The company targets the roughly 89%
  of drugs that fail in clinical trials, seeking to de-risk and accelerate pharmaceutical development. Based in Boston and
  Tel Aviv, Quris was co-founded with pioneers including Moderna co-founder Robert Langer and Nobel Laureate Aaron Ciechanover.
  Quris is backed by SoftBank Vision Fund and is profiled in the API Evangelist network as a company lead.
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  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
image: https://www.quris.ai/favicon.ico
url: https://raw.githubusercontent.com/api-evangelist/quris/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- softbank-vision-fund
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Health Tech
- Bio-AI
- Drug Discovery
- Drug Safety
- Clinical Trials
- Pharmaceuticals
- Artificial Intelligence
- Biotechnology
apis: []
common:
- type: DomainSecurity
  url: security/quris-domain-security.yml
- type: Website
  url: https://www.quris.ai
- type: About
  url: https://www.quris.ai/aboutus
- type: Blog
  url: https://www.quris.ai/news
- type: PrivacyPolicy
  url: https://www.quris.ai/privacypolicy
- type: Support
  url: https://www.quris.ai/contact
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 1
  pass: local-v1

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