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

10.2/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyHealth TechBio-AIDrug DiscoveryDrug SafetyClinical TrialsPharmaceuticalsArtificial IntelligenceBiotechnology

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 10.2/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 1.3 / 20

Commercial Clarity 2.1 / 20

Operational Transparency 0.0 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

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

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. 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. Want it done for you? Prioritized profiling — $2,500 →

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.
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: '0.20'
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