Life Sciences & Healthcare

AI that accelerates discovery and operations

Move faster under tighter budgets and stricter oversight. Datafi gives life sciences and healthcare organizations the operating system to deliver business AI that is safe, governed, and built for enterprise scale.

Extreme data variety meets high-stakes decisions. AI pilots stall when they can't answer the hard questions.

Fragmented Data

Data lives across warehouses, lakehouses, ELNs/LIMS, CTMS, ERP, QMS, document repositories, and countless spreadsheets. Definitions vary by function. Access is siloed.

Reconciliation Burden

Teams spend valuable time reconciling sources, rebuilding reports, and chasing approvals. The costliest delays are operational: compiling status updates, preparing committee decks, tracking deviations.

Governance Barriers

AI pilots stall when they can't reliably answer: Which data is authoritative? Who is allowed to use it? How do we prove what the system did? The barrier is rarely models. It's the absence of trust.

The Operating System for Business AI

A trusted, governed, business-aware layer for AI

Full data ecosystem

Connect systems of record and analytical platforms

Consistent governance

Enterprise policies, permissions, and controls applied everywhere

Chat-based experience

Designed for non-technical users across the enterprise

Auditable automation

AI agents and workflows that are repeatable and traceable

Use Cases

AI agents and workflows that reduce cost and improve throughput

These aren't one-off prompts. They're repeatable workflows: approved steps, governed data access, consistent outputs, and clear human-in-the-loop checkpoints where needed.

R&D

Drug Development

Accelerate decision briefs by connecting experimental results, assay metadata, prior studies, and external knowledge. Automate monitoring of relevant literature and internal learnings.

  • Generate decision briefs from experimental results and prior studies
  • Connect assay metadata with external knowledge for richer context
  • Automate literature monitoring and surface internal learnings
  • Summarize results with links back to source data and evidence

Clinical

Clinical Trial Operations

Automate feasibility inputs, monitor enrollment and operational KPIs, flag risks early, and standardize vendor and site reporting.

  • Automate feasibility inputs across sites and geographies
  • Monitor enrollment rates and flag at-risk trials early
  • Standardize vendor and site reporting with consistent metrics
  • Track operational KPIs and generate status updates automatically

Operations

Manufacturing & Supply Chain

Correlate batch outcomes, deviations, maintenance signals, inventory, and supplier performance to detect issues earlier and support continuity planning.

  • Correlate batch outcomes with deviation history and maintenance signals
  • Monitor inventory levels and supplier performance in real time
  • Detect issues earlier with cross-signal pattern recognition
  • Support continuity planning with scenario analysis and risk scoring

Quality

Quality & Regulatory

Speed evidence gathering and traceability, producing auditable narratives for investigations, change control, and regulatory responses.

  • Accelerate evidence gathering across systems and documents
  • Produce auditable narratives for investigations and change control
  • Maintain full traceability from source data to regulatory response
  • Ensure consistent, governed outputs for compliance documentation

Unified Data Experience

One shared context for decisions

A unified data experience isn't just centralization. It's the ability for an authorized scientist, clinician, quality lead, or supply planner to ask a question and get an answer grounded in trusted sources, with consistent definitions and clear traceability.

Reduces analysis drift

Shared context prevents teams from unknowingly using different assumptions, cohorts, or metrics.

Cross-functional alignment

R&D, clinical, quality, and operations align faster because they work from the same definitions and evidence.

AI anchored to governed context

Models are anchored to governed enterprise context instead of ad hoc prompts and files, making AI more dependable.

UNIFIED CONTEXT R&D Clinical Quality Operations

Complete Platform

How the platform serves life sciences

GOVERNED & AUDITABLE

Enterprise Trust

Trust is a feature in regulated environments

A business AI operating system must respect privacy, IP boundaries, and compliance requirements while making AI broadly accessible. Datafi is designed to align AI capabilities with enterprise policies so organizations can expand usage without expanding risk.

Privacy & IP

Respect boundaries across every interaction

Compliance

Built for regulated industry requirements

Full Auditability

Traceability at every step of every workflow

A practical foundation for enterprise AI in life sciences

Faster cycle times, lower operating costs, and better decision quality across R&D, clinical operations, manufacturing, supply chain, and beyond.

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