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Healthcare & Life Sciences
AI Agents & Automation for Life Sciences & Pharmaceuticals
Compress R&D, regulatory, and commercial cycles with validated AI built for GxP environments.
AI agents from molecule to market — built for GxP, FDA, and EMA requirements.
Market Context
- $1.4T
Global pharma + biotech market
- $2.6B
Average cost to bring a new drug to market
- 90%
Of clinical trial drugs fail
- 50-70%
Of medical writer time on automatable drafting
Industry View
Where AI changes the operating model.
Life sciences runs on long cycles, heavy documentation, and regulated decisions. AI compresses cycle time across R&D, manufacturing, and commercial — but only when systems are validated, auditable, and explainable.
ClearForge builds production AI for biotech, pharma, and medical device companies that meets FDA, EMA, and GxP requirements out of the box.
Life Sciences Value Chain
Every function. Every activity. Where AI fits.
The full operating value chain for life sciences — and the specific activities ClearForge automates or runs as AI agents inside each function.16 addressable activities across 4 functions.
AI agent
Predictive model
Copilot
Workflow automation
01
R&D & Discovery
Accelerate target identification, lead optimization, and translational research.
Literature-synthesis agent
AI agentContinuous monitoring and synthesis of relevant publications
5-10x faster literature review
Target-identification model
Predictive modelIdentify novel targets from genomic and proteomic data
Lift target-validation hit rate
Trial-design copilot
CopilotRecommend trial design based on indication, endpoint, prior art
Reduce design cycle weeks
Patient-recruitment agent
AI agentMatch trial criteria to EHR data to find eligible patients
30-50% faster enrollment
02
Regulatory & Medical Writing
Compress submission cycles without compromising regulatory rigor.
Submission drafting copilot
CopilotGenerate first-draft sections of CTD, IND, NDA from clinical data
40-60% drafting time reduction
Regulatory-intelligence agent
AI agentContinuous scan of FDA/EMA guidance changes by therapeutic area
Days-fresh regulatory awareness
Adverse-event triage
AI agentAuto-classify pharmacovigilance reports for severity and reportability
60-80% PV review time reduction
Label-comparison agent
AI agentCompare label changes across markets and competitor products
Hours instead of weeks per comparison
03
Manufacturing & Quality
Lift batch yields and reduce deviations in GxP manufacturing.
Batch-record review automation
Workflow automationAuto-review batch records for completeness and deviations
70% review time reduction
Deviation-investigation copilot
CopilotPre-draft investigations and root cause analysis
Investigation cycle compression
Yield-optimization model
Predictive modelOptimize process parameters for yield and quality
2-5% yield improvement
Predictive-maintenance model
Predictive modelPredict equipment failures in GxP facilities
Reduce unplanned downtime 30-50%
04
Commercial & Medical Affairs
Engage HCPs and payers with personalized, compliant content.
HCP-engagement agent
AI agentRecommend next-best HCP interaction by territory and prescriber pattern
20-40% rep productivity lift
Medical-information agent
AI agentField HCP medical-information requests with cited evidence
50%+ deflection of MI calls
Content-personalization model
Predictive modelPersonalize HCP content with MLR-approved variants
Lift email/click engagement
Payer-engagement copilot
CopilotPre-build value dossiers and payer Q&A responses
Faster formulary decisions
Industry Challenges
Where life sciences operators are losing margin today
Cycle Time
Drug development averages 10-15 years. Every cycle compression has compounding economic impact.
$2.6BCost per new drug
Documentation Burden
Medical writers, regulatory, and pharmacovigilance teams produce massive volumes of regulated text.
50-70%Of writer time on automatable drafting
Trial Recruitment
Enrollment is the slowest part of clinical trials. AI-driven patient matching changes the cycle.
90%Of trial drugs fail
Commercial Productivity
Field-medical and sales teams need personalization at scale within MLR guardrails.
$1.4TGlobal pharma market
The Forge Method
How ClearForge ships AI in life sciences.
The Forge Method for life sciences requires GxP-grade validation, audit trails, and human-in-the-loop controls. Sprint deploys 1-2 production agents in regulatory writing, manufacturing, or commercial workflows. Scale operates the systems with full validation documentation.
4 wks
Forge Diagnostic
10 wks
Forge Sprint to production
Ongoing
Forge Scale operating cadence
Get a custom value chain for your business.
Forge Intelligence™ generates a personalized AI value chain from your website — every function, every activity, with the specific automations we'd ship first.