Daliscia helps drug discovery, manufacturing & quality, and ag-biotech teams turn data into outcomes — from honest strategy to working, production-grade AI systems that respect your science and your quality framework.
Most “AI for pharma” pitches are demos. We deliver systems your scientists and quality teams will actually rely on.
We prove value on your data before anyone commits to a roadmap. Decisions are made on measured results, not vendor promises.
Grounded answers with citations, evaluation, human-in-the-loop, and audit trails — the guardrails life science requires.
No reseller incentives. We recommend the right approach for you, whether that’s build, buy, or do nothing yet.
From the first strategy conversation to systems running in production.
Cut through the hype. We assess where AI creates real, defensible value across your R&D and operations, then build a sequenced, budgeted roadmap your teams can actually deliver.
Turn a promising idea into a working prototype in weeks, not quarters. We build evaluable proofs-of-concept on your data so decisions are made on evidence, not slideware.
We take models out of notebooks and into validated, monitored production — with the guardrails, evaluation, and documentation life science demands.
Retrieval-augmented systems that read the literature, your internal documents, and lab data — surfacing answers, protocols, and insights with citations your scientists can trust.
AI designed to live inside your quality framework — audit trails, validation, data integrity, and 21 CFR Part 11 / Annex 11 awareness baked in from day one.
Hands-on enablement so your people can run with it. Workshops, best practices, and fractional AI leadership to upskill teams and de-risk hiring.
Deep focus on the sectors where life-science data meets real-world constraints.
From target identification to the bench — we help discovery teams move faster with AI that reads the literature, generates protocols, and turns multi-omics data into decisions scientists trust.
GxP-aware AI for the shop floor and the quality suite — accelerating batch reviews, deviation management, and regulatory research without compromising data integrity or compliance.
AI for breeding programmes and agricultural R&D — genomics, phenotyping, and field data at scale, turning multi-environment trials into faster, better selection decisions.
Real systems shipped — not slideware.
AI-powered lab protocol generation
Intelligent agents search scientific literature, existing protocols, and your data to generate precise, reproducible lab protocols. Scientists refine results with built-in prompts or manual edits, and teams integrate via API into LIMS, ELN, or agent workflows.
Visit siteAI-powered FDA regulatory assistant
Purpose-built for FDA regulatory work — answers questions about 21 CFR, FDA guidance, device clearances, drug approvals, and clinical trials with cited, evidence-based responses. Powered by a knowledge graph of 1M+ regulatory data points, hybrid semantic search, and interactive visualisations.
Visit siteBook a free 30-minute discovery call. No slideware — just a candid conversation about your data, your goals, and what’s realistic.