
Alice Labs builds production-ready AI agents for pharmaceutical companies: clinical trial optimization that reduces enrollment time by 30-50%, molecular modeling that screens thousands of candidates in hours instead of months, and lab automation agents that streamline GxP-compliant workflows. Deployed within your security perimeter, compliant with HIPAA, GDPR, and FDA 21 CFR Part 11.
An experienced team with broad AI and tech backgrounds from leading companies

Linus
Co-founder & AI Consultant

Alice
CEO & Co-founder

Jens
AI Consultant

Eric
Co-founder & AI Consultant

Lisa
Project Lead & Implementation
Verified outcomes from completed AI implementations
Ljusgårda (Supernormal Greens)
Public Sector
Media Company
Where AI agents deliver the highest ROI in pharmaceutical R&D
Traditional drug screening takes 4-6 years in preclinical phases. AI agents analyze molecular structures, predict binding affinities, simulate ADMET properties, and rank thousands of candidates — reducing preclinical timelines to 18-24 months.
Key Deliverables:
80% of clinical trials fail to meet enrollment deadlines. AI agents analyze patient databases, predict enrollment velocity, optimize site selection, and enable adaptive trial designs — cutting recruitment time by 30-50% and reducing protocol deviations by 40%.
Key Deliverables:
Post-market safety monitoring traditionally relies on manual case processing with 6-12 month detection lag. AI agents analyze real-world evidence, FAERS reports, and social media signals in real-time — detecting safety signals in days, not months.
Key Deliverables:
GAMP 5 validated, FDA 21 CFR Part 11 compliant. Complete validation documentation and audit trails for every AI-assisted decision.
AI agents access your proprietary research data — patents, trial protocols, safety databases — without any data leaving your environment.
Continuous safety signal detection across clinical and post-market data. Sub-hour alert generation for critical adverse events.
Auto-generated submission packages, CSRs, and safety reports — formatted for FDA, EMA, and PMDA requirements.
Secure integration with LIMS, ELN, CTMS, and legacy research systems without modifying existing infrastructure.
Every molecular prediction and clinical recommendation includes feature importance, confidence intervals, and decision rationale.
"We decided early on to embrace AI technology and needed a partner who could explore opportunities, propose solutions, lead change management, and build them. With Alice, we got everything in one place and have implemented multiple solutions that increased efficiency so significantly that an entire team could be reallocated."
Andreas Wilhelmsson
CEO & Co-founder
Supernormal Greens / Ljusgårda
"Alice Labs' AI training gave us all a real aha-moment, whether we were completely new to the field or experienced! The training contained a perfect balance between theory and practice. We have definitely become more efficient at work!"
Åsa Nordin
IT Manager
Trollhättan Energi
"The collaboration with Alice Labs has been easy, educational, and incredibly supportive. We engaged them to improve our processes and create more efficiency in the team, and the result truly exceeded expectations. Through their guidance, we've gained better structure, faster workflows, and more time for what actually creates results."
Frida
Partner Manager
Bruce Studios
"Fast, professional, and wonderful people. Find out for yourself <3"
Johannes Hansen
Founder
Johannes Hansen AB
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