Ai Vivo

AI VIVO (AIVIVO LTD) is a Cambridge, England based drug-discovery company that combines systems pharmacology with artificial intelligence to accelerate the identification and de-risking of therapeutic candidates. Its "Organome" platform simulates biological processes at the target, cell, organ, and organism levels and ranks drug candidates by their phenotypic effects at the tissue level, without relying on prior knowledge of the disease or compounds. The approach gained recognition in 2020 when the platform ranked roughly 90,000 compounds for COVID-19 and surfaced dexamethasone as a top candidate weeks before its clinical benefit was widely reported. AI VIVO is backed by DCVC and other life-science and applied-AI investors. As of this profile the company publishes a minimal public web presence (a home and contact page) and exposes no public developer API, documentation, or SDK.

Ai Vivo is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Drug Discovery, Systems Pharmacology, and Biotechnology.

🌐 Visit website 📡 Source on GitHub

2.2/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Artificial Intelligence Drug DiscoverySystems PharmacologyBiotechnology Pharmaceuticals Life Sciences Machine-Learning Healthcare

Kin Score

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

Composite quality — 2.2/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.3 / 9

Regulatory Posture 0.0 / 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/ai-vivo: 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 →

Resources

Operate 1

Status, limits, changes, and where to get help

Contact

Contact

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: ai-vivo
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://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/ai-vivo.png
name: Ai Vivo
description: AI VIVO (AIVIVO LTD) is a Cambridge, England based drug-discovery company that combines systems pharmacology
  with artificial intelligence to accelerate the identification and de-risking of therapeutic candidates. Its "Organome" platform
  simulates biological processes at the target, cell, organ, and organism levels and ranks drug candidates by their phenotypic
  effects at the tissue level, without relying on prior knowledge of the disease or compounds. The approach gained recognition
  in 2020 when the platform ranked roughly 90,000 compounds for COVID-19 and surfaced dexamethasone as a top candidate weeks
  before its clinical benefit was widely reported. AI VIVO is backed by DCVC and other life-science and applied-AI investors.
  As of this profile the company publishes a minimal public web presence (a home and contact page) and exposes no public developer
  API, documentation, or SDK.
url: https://raw.githubusercontent.com/api-evangelist/ai-vivo/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- dcvc
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-17'
tags:
- Company
- Artificial Intelligence
- Drug Discovery
- Systems Pharmacology
- Biotechnology
- Pharmaceuticals
- Life Sciences
- Machine-Learning
- Healthcare
tags_raw:
- Company
- Artificial Intelligence
- Drug Discovery
- Systems Pharmacology
- Biotechnology
- Pharmaceuticals
- Life Sciences
- Machine Learning
- Healthcare
apis: []
common:
- type: Website
  url: https://aivivo.co/
- type: Contact
  url: https://aivivo.co/contactus/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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