The platform that brings analysis to health data
Precision Data's Trusted Research Environment: structuring, exploration and evidence from Real-World Data — with AI, governance and a federated network connecting data holders with those who need answers.
Health data is abundant. Evidence is still scarce.
The Precision Data Platform was built to remove three barriers at once: OMOP standardization, federation with Privacy by Design and AI-accelerated exploration.
Fragmented, non-standardized data
EHRs, claims, labs and documents live in silos, formats and vocabularies — without interoperability there is no analysis at scale.
Privacy and governance stall projects
Sharing sensitive patient data is risky and slow. Without a privacy architecture, every study becomes months of legal negotiation.
Analysis depends on a few experts
Every question needs a technical query, a data engineer and weeks of waiting. Knowledge gets stuck in the data team's queue.
A complete Trusted Research Environment
An agnostic platform for the integration, standardization and secure analysis of health data — where Precision Data runs its own RWE studies, OMOP conversions and governed data sharing.
Data structuring
Prepares and organizes data: quality, standardization and interoperability.
Data analysis
Fast, autonomous and reliable exploration to generate evidence.
From Big Data to insight — in minutes
Modules for different user profiles — from executives to data scientists — all served by Semantic APIs: the governed semantic layer that standardizes data access.
ChatRWE
Ask in natural language — "What is the second-line treatment pattern in the Southeast region?" — and get data-driven answers: text, tables and charts. No black box: the AI's rationale is verifiable and refinable, even from your phone.
AI's role: the end-to-end data analyst — understands the question, queries the databases, builds tables and charts and delivers the full report.
Epiquery
The way to go deep into the database without programming: researchers, scientists and physicians build cohorts, metrics, dimensions and filters by ICD-10, region and period — with the generated Python/SQL code always visible.
AI's role: helps the researcher build the query, using semantic search to find the most specific filters the analysis needs.
EpiReport
Multi-tab epidemiological reports ready to share: semantic builder, saved report library, results, charts and narratives exported straight to Excel — accelerating the evidence flow within the team.
Notebooks
Python, R and SQL in an environment already configured for OMOP, with an agentic workflow that optimizes code creation for data analysis — from draft to final chart. Speed and scale for teams of every size.
AI's role: writes exploration and charting code, searches PubMed and runs joint analyses to validate project code.
Data Dictionary
Full visibility of what exists in each database: variables, vocabularies and coverage. Users start from the analytical problem, not from the tool's limitations.
AI workflows
Every exploration module offers agents to speed up analysis, always balancing speed and precision: AI sits in the execution layer, the user in the judgement and steering layer.
OMOP conversion in weeks, not years
Agnostic ingestion — structured databases, PDFs, forms, APIs, REDCap and institutional systems — turned into interoperable, auditable data by AI agents with human review.
OMOP transformation DAGs
AI agents create everything from column-by-column mapping to full ETL code, incrementally and enriched by context. The engineer approves and refines.
Lines of Therapy
Clinical enrichment that rebuilds patient treatment journeys — sequences, switches and outcomes — ready for market analysis and research.
DQD — Data Quality Dashboard
Systematic OHDSI-standard quality checks: completeness, plausibility and conformance monitored on every data load.
Vocabulary Mapping
Semantic search across terminologies — SNOMED CT, LOINC, RxNorm — with an ontology diagram view and human review of every equivalence.
Clinical notes structuring
NLP and AI propose structured clinical terms from free text into OMOP tables; the reviewer approves, rejects or replaces each classification.
Tickets & Data Products
Ticket module to request the creation and editing of datasets and Data Products, supported by Precision Data's Data Factory.
Data stays at the source. Insights come to you.
The query goes down to the Data Partner, runs locally and only the aggregate comes back. Privacy by Design, LGPD-compliant.
No individual-level data leaves the source
The query travels to the data, runs locally and returns only aggregate statistics.
Per-institution governance and audit
Each Semantic API defines scope, aggregation level and user allowlist. Logs, audit trails and IP whitelisting across the network.
Instant multicenter scale
A single protocol queries the whole Data Partner network simultaneously — the foundation of the Precision Evidence network-study methodology.
Three ways into the ecosystem
From simple access to third-party data to monetizing your own data in a global federated research network.
Platform Standard
All exploration modules — ChatRWE, Epiquery, EpiReport, Data Dictionary and Semantic API — ready to use on third-party databases. Contract per user and start exploring.
- Access to public and Data Partner databases in the network — DATASUS, ANS and private partners
- Semantic API for governed exploration
- Per-user contract; AI credits purchased from Precision Data
- Onboarding in days, no infrastructure project
Platform Enterprise
Everything in Standard, plus the power to bring your data into the platform: OMOP structuring with AI agents, enrichment, Notebooks, Data Factory and deployment in a private environment with no public internet.
- OMOP DAGs, Lines of Therapy and DQD on your data
- Notebooks with AI (Python · R · SQL) and OMOP cohorts
- Tickets, datasets and Data Products with the Data Factory (3 support tiers)
- AI credits via Precision Data or your own API (OpenAI, Anthropic)
Platform Data Partner
Not a contract — a partnership. We install the Platform Server in your environment and your data starts generating secure Semantic APIs consumed by the federated network. Your data never leaves home.
- Platform Server installed and maintained by us
- You define scope, aggregation and who has access
- 4 Standard users + 10,000 AI credits/month included
- Multicenter research with scientific credit for your institution
| Feature | Standard | Enterprise | Data Partner |
|---|---|---|---|
| Exploration: ChatRWE · Epiquery · EpiReport · Data Dictionary | ✓ | ✓ | ✓4 internal users included |
| Semantic API for governed exploration | ✓ | ✓ | ✓generated in your own environment |
| Your own data in the platform | —third-party databases | ✓ | ✓data never leaves the source |
| Structuring: OMOP DAGs · Lines of Therapy · DQD | — | ✓ | — |
| Notebooks (Python · R · SQL) · OMOP cohorts · AI for code | — | ✓ | — |
| Tickets + Data Factory (datasets and Data Products) | — | ✓add-on with 3 support tiers | — |
| Private deployment, no public internet | — | ✓ | ✓Platform Server in your environment |
| AI credits | Via Precision Data | Via PD or your own APIOpenAI and Anthropic supported | 10,000/month included |
| Commercial model | Per-user subscription | Enterprise license | Data partnershipmonetization via federated network |
Every node makes the network more valuable. Every dataset generates more evidence.
The Platform connects two mutually reinforcing movements: institutions bringing the technology into their data environments and partners monetizing data by generating research for global health.
Bring the technology into your environment
With Standard and Enterprise, your team explores, structures and turns health data into decisions — with AI, the OMOP standard and end-to-end governance.
- Evidence in minutes, not months
- Analytical autonomy for the whole team, from executives to data scientists
- Enterprise-grade security, including private environments
Join the federated network as a Data Partner
Your data — without ever leaving home — feeds network RWE studies, generating revenue, publications and impact for healthcare worldwide.
- Data monetization with Privacy by Design
- Participation in international multicenter research
- 4 Standard users + 10,000 monthly AI credits included
Ready to turn data into evidence?
Book a Platform demo.