Causaly

https://www.causaly.com/

Cross-listing: Causaly already exists in Scientific / research AI memory. This row adds the use-case agent harness framing: London-based biomedical-research AI for drug-discovery teams. $60M Series B 2023 (Index + ICONIQ). 25M+ scientific articles indexed; causal-graph-grounded.

At a glance

Type
Biomedical knowledge-graph + AI research agent
Tier
T2
Created
2017 (founded)
Latest release
not applicable — wrong section
License
not applicable — not OSS
GitHub
not applicable — no GitHub repo
Pricing
not applicable — wrong section
Funding
$60M Series B 2023 (Index + ICONIQ)

Taxonomy

storage
graph
retrieval
hybrid
persistence
durable
update
agent-controlled
unit
entity
governance
opaque
conflict
domain-rules

When to use

Optimised for: drug-discovery + biomedical research + causal-graph search

Anti-fit: not applicable — wrong section

Pros & cons

Pros

Causal-graph differentiator vs vanilla RAG-on-PubMed; Pfizer-grade customer base; Index + ICONIQ.

Cons

Biomedical-only ICP; expensive enterprise pricing; smaller than AlphaSense.

Claims & capabilities

$60M Series B 2023 (Index + ICONIQ; reportedly $300M+ val); 25M+ articles; causal-graph search

Technical surface

API surface
not applicable — wrong section
Backend storage
not applicable — wrong section
Deployment
not applicable — wrong section
Embedding model
not applicable — not a memory product
Multi-tenancy
not applicable — wrong section
MCP
not applicable — wrong section
A2A
not applicable — wrong section
OpenTelemetry
not applicable — wrong section

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Row last verified 2026-05-14. Catalog data is CC-BY-4.0 — see how to read this.