# Daliscia — Full Content > Daliscia (Data Life Science + AI) is an independent advisory and delivery partner that brings applied AI to life science — drug discovery & R&D, manufacturing & quality, and ag-biotech & crop science. We help organisations move from honest AI strategy to working, production-grade systems that respect their science and quality frameworks. Daliscia is independent: no reseller quotas, no platform to push. Founded by Eliot Boulanger, a principal consultant specialising in applied AI for life science. Engagements typically begin with a short discovery call, followed by a strategy sprint or a proof-of-concept on representative data, then production delivery and team enablement. Work can be performed within regulated (GxP) environments with full awareness of 21 CFR Part 11 and EU Annex 11. Website: https://daliscia.com Contact: eliot@daliscia.com LinkedIn: https://www.linkedin.com/company/daliscia Book a discovery call: https://daliscia.com/contact --- ## About Daliscia bridges data, life science, and AI. Most "AI for pharma" pitches are demos. Daliscia delivers systems scientists and quality teams actually rely on — grounded answers with citations, evaluation, human-in-the-loop, and audit trails. ### Founding principles **Evidence over hype.** We prove value on your data before anyone commits to a roadmap. Decisions are made on measured results, not vendor promises. **Built to be trusted.** Grounded answers with citations, evaluation, human-in-the-loop, and audit trails — the guardrails life science requires. **Independent by design.** No reseller incentives. We recommend the right approach for you, whether that's build, buy, or do nothing yet. ### Values **Science first.** The science defines the system, not the other way around. We read the papers, understand the assays, and design AI that earns the trust of researchers. **Honest by default.** We tell clients what AI can and cannot do for them. If the data isn't ready or the use case doesn't justify the investment, we say so. **Trustworthy systems.** Grounded outputs, audit trails, and human-in-the-loop controls aren't optional — they're the baseline for systems that live in life-science workflows. **Capability, not dependency.** We leave teams able to run and extend what we build. Every engagement includes knowledge transfer, documentation, and enablement. --- ## Services ### AI Strategy & Roadmaps 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. Outcomes: - Opportunity mapping across the value chain - Build-vs-buy and vendor due diligence - Prioritised, costed delivery roadmap ### Rapid Prototyping & PoCs 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. Outcomes: - Working PoC on representative data - Quantified accuracy and ROI baselines - Clear go / no-go decision package ### Production-Grade AI Systems We take models out of notebooks and into validated, monitored production — with the guardrails, evaluation, and documentation life science demands. Outcomes: - Robust LLM & ML pipelines - Evaluation, monitoring & human-in-the-loop - Scalable, maintainable architecture ### Scientific Knowledge & Literature AI Retrieval-augmented systems that read the literature, your internal documents, and lab data — surfacing answers, protocols, and insights with citations your scientists can trust. Outcomes: - Grounded, cited answers (RAG) - Searchable institutional knowledge base - Faster literature & patent reviews ### Regulated & GxP-Aware AI 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. Outcomes: - Validation & documentation support - Audit trails and data-integrity controls - Deviation, CAPA & batch-record assistants ### Team Enablement & Fractional Lead Hands-on enablement so your people can run with it. Workshops, best practices, and fractional AI leadership to upskill teams and de-risk hiring. Outcomes: - Practical workshops & playbooks - Fractional AI / data-science leadership - Hiring and capability roadmaps --- ## Engagement Model Most engagements follow this sequence: 1. **Discover** — A short discovery call to understand your data, goals, and constraints. 2. **Prove** — A strategy sprint or rapid proof-of-concept on representative data to establish what's possible and measure it. 3. **Build** — Production delivery: robust pipelines, evaluation frameworks, and documentation. 4. **Enable** — Handover, team training, playbooks, and ongoing support so your team can own what was built. --- ## Sectors ### Drug Discovery & R&D 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. **Use cases:** **AI lab protocol generation** — Agents search scientific literature and existing protocols to draft precise, reproducible lab procedures — with human-in-the-loop refinement and API integration into your stack. See: Genlabai (https://ailabgen.com). **Multi-omics target triage** — Integrate genomics, proteomics, and screening readouts to prioritise targets and compounds — reducing time spent on dead ends. **Discovery literature intelligence** — RAG over patents, publications, and internal notebooks — cited answers for target validation, competitive landscaping, and experiment design. ### Manufacturing, Quality & Operations 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. **Use cases:** **FDA regulatory research assistant** — Grounded answers on 21 CFR, FDA guidance, device clearances, drug approvals, and clinical trials — with citations from a knowledge graph of 1M+ regulatory data points. See: CFR21 (https://cfr21.com). **Batch record review acceleration** — Extract and cross-check critical quality attributes from batch records and manufacturing data — cutting review time while preserving auditability. **Deviation & CAPA assistance** — Surface similar historical deviations, accelerate root-cause analysis, and draft consistent CAPA documentation within your quality framework. ### Ag-Biotech & Crop Science AI for breeding programmes and agricultural R&D — genomics, phenotyping, and field data at scale, turning multi-environment trials into faster, better selection decisions. **Use cases:** **Genomic selection & breeding analytics** — Rank breeding candidates from genotype and trait data — shortening selection cycles without sacrificing genetic diversity. **Phenotyping at scale** — Computer vision and sensor fusion on greenhouse, drone, and field imagery — automating trait scoring across thousands of plots. **Multi-environment trial modelling** — Model genotype × environment interactions across sites and seasons — predicting performance before committing to costly field programmes. --- ## Shipped Products ### Genlabai URL: https://ailabgen.com Tagline: 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. Sectors: Drug discovery & R&D Services: Scientific Knowledge & Literature AI, Rapid Prototyping & PoCs, Production-Grade AI Systems ### CFR21 URL: https://cfr21.com Tagline: AI-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. Sectors: Manufacturing, quality & operations Services: Regulated & GxP-Aware AI, Scientific Knowledge & Literature AI --- ## FAQs **What does Daliscia do?** Daliscia is an independent advisory and delivery partner that brings applied AI to life science. We help organisations in drug discovery, manufacturing & quality, and ag-biotech move from AI strategy to working, production-grade systems. **What does the name Daliscia mean?** Daliscia stands for Data Life Science + AI — reflecting our focus on turning life-science data into real outcomes with artificial intelligence. **Do you work within regulated (GxP) environments?** Yes. We design AI systems to live inside your quality framework, with audit trails, validation support, and awareness of 21 CFR Part 11 and EU Annex 11 requirements. **How do engagements typically start?** Most engagements begin with a short discovery call to scope the opportunity, followed by either a strategy sprint or a rapid proof-of-concept on representative data. **Can I see examples of systems you have built?** Yes. Genlabai (https://ailabgen.com) is an AI lab protocol generation product for drug discovery teams. CFR21 (https://cfr21.com) is an FDA regulatory research assistant for manufacturing and quality teams. --- ## Contact - Email: eliot@daliscia.com - LinkedIn: https://www.linkedin.com/company/daliscia - Book a free 30-minute discovery call: https://daliscia.com/contact