EU Regulated AI Adoption Report 2026: Why the Best Labs Are Going Private
We surveyed 200+ R&D leads, IP directors, and GMP managers. Here's what's driving the shift away from public LLMs.
IngenLab - secure AI platform for operations, workflows, tasks, and custom model training in pharma, biotech, chemistry, and IP-intensive regulated industries. Air-gapped deployment.
Your synthesis routes, assay results, and patent filings are your competitive advantage - not training data for someone else's model. IngenLab runs domain-specific AI entirely inside your infrastructure, automating the R&D workflows your team does manually today. Zero data egress. EU AI Act compliant by design.
Connect your ELN, LIMS, patent databases, and SOPs to a domain-specific AI layer - then automate the analysis and reporting your scientists spend hours on manually. All compute runs inside your perimeter. GMP-ready audit trail included.
Browse agent tools by category and add them to your workflow
Private AI models - fine-tuned on your data, hosted in your environment
Your data never leavesYour patents, trade secrets, and R&D data are your competitive edge. Train custom models on them - without exposing a single byte to the outside.
Drug discovery, clinical trial data, GMP batch records - train secure models on your compound library. Zero risk of data leakage.
Retrosynthesis, reaction logs, proprietary formulations - train custom models on your compound data inside encrypted infrastructure. No synthesis IP exposed.
Prior-art search, freedom-to-operate analysis, patent drafting - all running on-premise against your secure IP portfolio and public databases.
Sequencing pipelines, variant calling, multi-omics analysis - custom-trained models on your own patient and research datasets. Air-gapped.
R&D-to-GMP pipeline, digital twins, batch record intelligence - secure operations with encrypted audit trails and process parameter protection.
EU AI Act classification, GDPR data mapping, SOP change control - automated compliance inside your secure infrastructure, audit-ready from day one.
No competitor combines: secure training + cowork UI + owned knowledge + lean manufacturing ops + full infrastructure freedom.
| Feature | IngenLab | Nexos.ai | ChatGPT Enterprise | Benchling | PrivateGPT / Ollama | Mistral / EU LLMs |
|---|---|---|---|---|---|---|
| Private AI training | ✓ | ✗ | ~ | ✗ | ~ | ✓ |
| Collaborative cowork UI | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| Domain fine-tuning | ✓ | ✗ | ✗ | ✗ | ~ | ~ |
| Owned knowledge / RAG | ✓ | ~ | ~ | ~ | ✓ | ✗ |
| R&D → manufacturing ops | ✓ | ✗ | ✗ | ~ | ✗ | ✗ |
| On-prem / VPS / own VPN | ✓ | ✗ | ✗ | ✗ | ~ | ~ |
| GDPR+ & EU AI Act native | ✓ | ✓ | ~ | ~ | ✓ | ✓ |
Air-gapped, on-prem, or VPS - choose the security level your data requires.
All plans - 75%+ gross margin target · LTV:CAC > 6:1 · High switching costs by design
Air-gapped • On-prem • Behind your VPN • End-to-end encrypted
Security & Custom Training
We surveyed 200+ R&D leads, IP directors, and GMP managers. Here's what's driving the shift away from public LLMs.
Sending patent claims to a public API is an IP liability. We break down the architecture of a truly private prior-art search engine.
A practical checklist for life-science teams navigating Article 10 obligations, audit trail requirements, and human oversight rules.
First 50 respondents get the EU Regulated AI Adoption Report 2026 + personal pilot invitation.