Life Sciences

AI that turns life sciences data into operational advantage

Pharma, biotech, and medical device organizations operate across extreme data variety: research compounds, clinical protocols, manufacturing batch records, regulatory submissions, and supply chain signals. Datafi connects it into a single governed operating system so every team, from R&D to regulatory affairs to quality, has superhuman ability to discover insights, monitor trials, and act on evidence.

See Workflows

Life sciences organizations aren't short on data. AI initiatives stall because R&D, clinical, manufacturing, and regulatory data live in separate worlds, and the teams who need context can't assemble it fast enough.

Fragmented Data Across the Drug Lifecycle

Research platforms, CTMS, EDC, LIMS, ERP, QMS, regulatory submission systems, and document repositories each hold a piece of the story. Scientists can't see compound data alongside clinical outcomes. Clinical ops can't connect site performance to protocol amendments. Regulatory teams can't assemble submission evidence without spanning eight disconnected systems.

Every Analysis Requires Manual Reconciliation

Researchers pulling literature reviews, clinical teams reconciling trial data across sites, quality teams compiling CAPA records and deviation history: all spend hours or days gathering context before analysis can even begin. Data science teams become permanent bottlenecks. Timelines slip not because of science, but because of coordination.

AI Experiments That Stall in Regulated Environments

Pilot projects extract structured data or summarize documents, but never connect to the full R&D-to-market context. Internal builds require months of data engineering. Generic AI tools answer isolated questions but can't reason across regulated data, and they cannot enforce the GxP, IP protection, and auditability requirements that life sciences demands.

The Operating System

An operating system that connects the full drug lifecycle

A vertically integrated data and AI stack that provides trusted scientific context, GxP-aligned governance, and an interface that life sciences teams actually adopt.

100+ sources

Connected

Research, clinical, manufacturing, regulatory, and commercial data unified in a single operating context

100% auditable

By Design

Role-based access, audit trails, and policy enforcement across every AI interaction with regulated data

Every role

Enterprise Wide

Scientists, clinical ops, regulatory affairs, quality directors, and supply chain leaders

Hours→ minutes

Context Assembly

From manual data reconciliation across systems to instant, governed access grounded in complete scientific and operational context

Agentic Workflows

AI agents built for the complexity of life sciences

End-to-end workflows that aggregate data across the drug lifecycle, detect signals, reason across regulated systems, and deliver tangible scientific and operational artifacts — governed, auditable, and IP-protected.

Clinical Trial Monitoring — End-to-End Agentic Workflow Continuous monitoring from data collection to risk-scored trial brief STEP 1 Trial Data Collected STEP 2 AI Aggregates Sites STEP 3 Detects Deviations STEP 4 Safety Signal Check STEP 5 Risk Scoring OUTPUT Trial Status Brief CONNECTED DATA SOURCES CTMS EDC Safety DB Site Reports Protocol Regulatory Docs Enterprise Policies Applied GxP-Aligned • Full Audit Trail • Role-Based Access • IP Protection RESULT: Trial status brief with risk scores ready in 12 minutes (was 2+ days of manual data assembly)

Research Synthesis Brief

Compound history, literature synthesis, and competitive context assembled for portfolio review

Trial Status Report

Risk-scored trial brief with site performance, enrollment, and safety signal analysis

Quality Disposition Report

GxP-compliant batch review with out-of-trend detection and CAPA tracking

Regulatory Evidence Package

Audit-ready submission dossier with governed evidence and gap analysis

Use Cases

Autonomous agents for high-impact life sciences workflows

Each workflow delivers a tangible artifact — a research synthesis brief, a trial status report, a quality disposition, a regulatory evidence package — governed, auditable, and ready for action.

Drug Development & Research Acceleration

Give every researcher superhuman access to scientific context

Researchers make critical decisions every week on compound prioritization, target validation, biomarker selection, and portfolio strategy. Each requires assembling data from internal research platforms, external literature, competitive intelligence, and prior study results; work that takes days without integrated tooling. Datafi replaces manual assembly with an agentic workflow that surfaces compound history, synthesizes relevant literature, identifies comparable programs, and produces a research synthesis brief grounded in full scientific context and ready for decision.

Compound and target data aggregation from internal research systems

Literature synthesis and competitive program monitoring

Biomarker and clinical signal analysis across prior studies

Research synthesis briefs generated and ready for portfolio review

Compound Research Network AI-synthesized • Full scientific context DFI- 2847 Target JAK2 Biomarker IL-6, CRP Prior 12 studies Literature 847 papers Competitive 6 programs Research Synthesis Brief Target validated • Literature synthesized • Ready for portfolio review
Trial Monitoring Dashboard Real-time site performance • Safety signal tracking Site Performance (Enrollment vs. Target) Site 001 — Boston 90% Site 002 — London 78% Site 003 — Tokyo 52% Site 004 — Berlin 31% Protocol Milestones FPI 50% Enroll ! 75% Enroll LPI DB Lock AI Risk Alert: Sites 003 & 004 below enrollment target Recommend protocol amendment review and site boost strategy for at-risk locations Trial Status Brief Generated Risk-scored • Site-level breakdown • Action items

Clinical Trial Operations & Monitoring

Monitor every trial with full operational context

Clinical trial operations span hundreds of variables: protocol adherence, site performance, enrollment pacing, safety signals, data quality flags, and regulatory milestone tracking. Delays at any stage cost millions and extend timelines by months. Datafi enables AI agents that continuously monitor the full trial picture: aggregating site data, identifying performance gaps, flagging safety signals, and producing trial status briefs that surface risk before it escalates, so clinical ops teams spend time on strategy, not data gathering.

Real-time site performance monitoring with enrollment and milestone tracking

Safety signal detection and adverse event pattern recognition

Protocol deviation flagging with root cause context

Trial status briefs with risk flags generated for clinical leadership

Manufacturing Quality & Supply Chain

From batch records to quality disposition in minutes, not days

Manufacturing quality in life sciences requires continuous monitoring of batch records, deviation reports, CAPA status, environmental monitoring, and supplier compliance, all while maintaining GxP documentation requirements. Traditional approaches depend on manual review cycles that slow release timelines and increase risk. Datafi enables AI agents that monitor quality signals continuously, connect batch data to deviation history, identify out-of-trend patterns, and produce quality disposition reports that are audit-ready and traceable.

Continuous batch record monitoring with out-of-trend detection

Deviation and CAPA tracking with root cause analysis

Supplier compliance monitoring across the supply network

GxP-compliant quality disposition reports generated on demand

Batch Quality Monitor GxP-compliant • Continuous monitoring Active Batches 24 Yield Rate 97.2% Open CAPAs 3 Deviations 2 Process Parameter Trend (Batch B-2847) UCL Target LCL ! Out-of-Trend Alert: Parameter approaching UCL Batch B-2847 showing upward drift in 3 consecutive readings. CAPA recommended. Quality Disposition Report Generated Batch-level review • CAPA tracking • GxP-compliant • Audit-ready
Regulatory Evidence Assembly Automated gathering • Submission-ready output Evidence Sources Clinical Study Reports Manufacturing Records Safety Database Quality Documentation Agency Correspondence AI Submission Dossier NDA Module 2.5 Clinical Overview Nonclinical Overview Quality Overall Summary Safety Summary Evidence Gap Analysis SUBMISSION-READY RESULT: Regulatory evidence package with 84 items compiled in 6 hours (was 3 months)

Regulatory Evidence & Submissions Support

Assemble regulatory evidence in hours, not months

Regulatory submissions and audit responses require gathering evidence from dozens of systems: clinical study reports, manufacturing records, safety databases, quality documentation, and prior agency correspondence. Manual evidence assembly takes months and is error-prone under tight submission windows. Datafi enables AI agents that continuously gather, validate, and organize regulatory evidence across systems, producing audit-ready dossier sections, gap analyses, and submission-ready packages that are governed, timestamped, and traceable to source.

Automated evidence gathering across clinical, manufacturing, and quality systems

Regulatory gap analysis with submission-readiness scoring

Prior submission history and agency correspondence integration

Audit-ready regulatory packages compiled on demand

Enterprise-Wide Impact

Every role in life sciences, operating with superhuman ability

Datafi doesn't just answer questions. It gives every team in the organization the ability to reason across the full scientific and operational context, execute multi-step workflows, and produce real business outcomes. Here's what that means for each role.

Head of R&D

Accelerates portfolio decisions with compound history, literature, and clinical signal synthesis assembled automatically

VP Clinical Operations

Monitors every trial in real time with AI-generated risk briefs that surface issues before they escalate

Regulatory Affairs Director

Assembles submission evidence in hours with governed, traceable data pulled from across the enterprise

Quality Director

Catches out-of-trend quality signals early with continuous monitoring and AI-generated disposition reports

Supply Chain Director

Ensures supply continuity with real-time visibility across supplier compliance, inventory, and demand signals

Enterprise Benefits

Why life sciences organizations choose Datafi

AI in life sciences must earn trust before it can earn adoption. Datafi provides a vertically integrated platform that connects the full data ecosystem across the drug lifecycle, enforces enterprise policies, and protects IP, while delivering a user experience that scientists and operations teams actually use.

The result is AI that participates in real workflows, from compound prioritization to submission readiness, not isolated pilots that never scale beyond the innovation team.

GxP & IP-Aligned Governance

Enterprise policies, role-based access, and full audit trails enforced at the platform level across every AI interaction with regulated scientific data.

Full Lifecycle Context

R&D, clinical, manufacturing, quality, regulatory, and commercial data connected in a single operating context, with no manual reconciliation between systems.

Tangible Deliverables

AI produces research briefs, trial status reports, quality disposition reports, and regulatory packages, not chat responses that require interpretation.

Adopted by Non-Technical Teams

A conversational interface designed for scientists, clinical ops, and regulatory teams. No SQL, no dashboards, no data engineering required.

The Platform

A complete stack purpose-built for life sciences

Every layer of the Datafi platform serves a role in turning AI from isolated experiments into enterprise-wide life sciences capability.

Build

Studio

Govern

Control Tower

Run

Orchestrate

Cyber

Sentinel

Outcomes

The operational impact life sciences leaders measure

Pharma and biotech organizations that deploy Datafi stop treating AI as a research curiosity and start treating it as operational infrastructure. The results show up where it matters: faster portfolio decisions, shorter trial timelines, and submissions that don't slip.

Accelerate Drug Development Timelines

Researchers spend days assembling compound history, literature, and competitive intelligence before they can make a portfolio decision. Datafi compresses that to minutes, surfacing synthesized research briefs with full scientific context on demand. Faster evidence means faster go/no-go decisions, and every week saved in early development compounds across the entire pipeline.

Catch Trial Risks Before They Cost Months

A single underperforming site or missed safety signal can delay a trial by quarters and cost tens of millions. Datafi monitors enrollment pacing, protocol deviations, and safety data continuously, generating risk-scored trial briefs that surface issues while there's still time to act. Clinical ops teams shift from reactive firefighting to proactive trial management.

Assemble Regulatory Submissions in Hours, Not Months

Submission teams manually gather evidence from clinical study reports, manufacturing records, safety databases, and quality documentation, a process that takes months and is error-prone under tight filing windows. Datafi automates evidence collection, validates completeness, and produces governed, traceable regulatory packages on demand, so your team meets every filing deadline with confidence.

Build AI into your life sciences operating model

A practical, scalable path to faster drug development, smarter clinical operations, stronger manufacturing quality, and proactive regulatory readiness, powered by an operating system for business AI.

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