Governed AI for R&D Excelra’s innovation engine
Domain scientists and AI engineers building AI that stands up to scientific and regulatory scrutiny.
Scope a working prototypeExplore the portfolio
What every solution is built on
Most AI vendors bring models. We bring the science.
Data and domain
20+ years of curated data
Grounding only works if the source data is clean. Our curated data across chemistry, biomarkers, multi-omics and clinical outcomes is the substrate, and the scientists who built it guide every build.
Architecture and production
One reference architecture
Solutions are built on one shared foundation: governance, retrieval, plain-English querying, agent orchestration and an evaluation harness. Accelerators are customized to your workflow and reused across use cases.
Lab and speed
The lab is how we deliver
The AI Lab works through every Excelra business unit, so each solution starts with the scientists and data closest to the problem.
80
accuracy on AI-extracted metadata, with 60–70% less manual curation time
Top 20 pharma · every record reviewed by a scientist
~50
less drafting effort per health-authority question, across ~2,000 active users
Top 20 pharma
2–4 wks
from first conversation to a working prototype on your data
Benchmarked against your baseline before you commit
Trust emerges from discipline
Four principles apply to every solution, from the first prototype to production.
Rules first, AI second
Where a rule can decide, it does. AI handles only what rules cannot, and flags when the evidence runs out.
AI proposes. A scientist approves.
Human review in four risk classes. The domain expert owns the final output, always.
Tested before it ships
The evaluation set exists before the build starts. Every release passes it, in production too.
Every claim traces to its source
Provenance per value: source, page, sentence and model version. Nothing an inspector cannot see.
LLM-agnostic and built on open protocols. Designed in line with FDA–EMA good AI practice, EU AI Act Article 14, the GAMP AI Guide and ALCOA+.
Every answer has a source. Every decision owned.
We ship systems that survive an inspection, not pilots that impress in a demo.
From rapid prototype to production
A selection of the 40+ accelerators. Pick the part of R&D you work in, then choose a solution to see what it does.
★ Has its own page.
Bring us a problem.
Leave with a working prototype.
Tell us what slows your R&D team down. A scientist and an AI engineer will review it with you and tell you plainly whether AI is the right answer. If it is, you’ll see a working prototype on your data in 2–4 weeks.
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