The question travels.
The data doesn't.
Celato is building the inference layer for real-world evidence. Pharma asks the question, computation runs inside every connected hospital, and one exact, auditable answer comes back.
Federated RWE inference layer
Real-world evidence without moving the data.
Celato transforms fragmented medical data into reproducible, auditable, research-grade evidence. Scientists stay in the loop, definitions are versioned, and every result can be traced from question to output.
10x faster insights. 100% hospital control. Zero risk to patient data.
Opportunity & problem
The RWE gap is slowing medical innovation.
Healthcare needs data-driven decisions, but patient data is fragmented, siloed, and impossible to move. The result is real-world evidence that is slower, more expensive, and less complete than modern medicine needs.
Fragmented and siloed data
Incomplete study populations lead to missed trial opportunities and flawed evidence before the analysis even begins.
Local data only
Without a global signal, pharma and regulators are left with blind spots that delay market access and weaken decisions.
Slow and costly access
Traditional data access stretches R&D cycles, drains budgets, and delays therapies that depend on better evidence.
Delayed, low-quality insights
When access is hard, teams ask simpler questions, produce weaker evidence, and lose opportunities permanently.
Solution
The new infrastructure for real-world evidence.
Celato enables fast, scalable generation of high-quality RWE by turning distributed hospital data into reproducible, auditable, research-grade answers.
Ask richer questions across sites in days, not quarters.
Pharma asks a research question in natural language. Celato decomposes it into a study design, then compiles that design into MDQL - a precise, versioned definition that can run across the network.
- Natural-language questions become structured study logic
- MDQL makes every definition reproducible
- Criteria can be tested, revised, and rerun quickly
Run across the network while every hospital keeps control.
Hospital nodes harmonize local EHR schemas, codes, and free text to a canonical clinical model at the source. The query runs locally, under strict governance, and patient records stay put.
- Structured data and clinical notes are standardized in place
- Each custodian approves what runs and what leaves
- Zero patient-record movement by design
Aggregate distributed results into one defensible answer.
Celato combines node results into a mathematically exact answer with a full audit trail, so sponsors can move from slow one-off studies toward continuous evidence.
- One answer across every approved node
- Every definition, run, and output is auditable
- Post-market first, then expansion into core R&D
How it works
From question to exact answer.
The scientist stays in the loop at every step. Every definition is versioned, every hospital keeps control, and every result is auditable.
Ask
Pharma asks the research question in natural language.
Design
Celato's agent decomposes it into a precise study design and MDQL definition.
Standardize
Hospital nodes harmonize schemas, codes, and free text at the source.
Execute
The query runs locally at every approved node under strict governance.
Aggregate
Node results combine into one mathematically exact answer with a full audit trail.
The agentic layer turns research intent into governed distributed computation.
Live viewThe agentic layer is the first two steps: ask and design. Everyone else is building agents over data they had to centralize first; Celato builds them over data that never moves.
For hospitals and data custodians
Join a research network without giving up control.
Celato lets hospitals participate in global RWE studies while data stays inside the local boundary. You approve the study definition, the local execution, and the aggregate release.
Control every run
Each study is scoped, reviewed, and approved against your own policies before computation begins.
Turn local data into research value
Your institution can support sponsor-funded studies as a partner while keeping patient records in place.
Connect once, answer many questions
The same governed node can support feasibility, post-market surveillance, safety, and continuous evidence workflows.
Governance & security
Built so the answer is defensible.
Celato is designed for the places where centralization and broad patient consent do not scale. The computation moves to the data, and the evidence that returns is versioned, governed, and auditable.
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No patient-record movementRecords never leave the custodian environment. Only approved aggregate outputs are returned.
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Approval before executionEach institution reviews and approves the study definition against its own policy before anything runs.
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Reproducible by designMDQL logic is versioned. Any result can be regenerated and traced back to the question that produced it.
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Complete audit trailQuestion, design versions, policy checks, local execution, aggregation, and release are all recorded.
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Exact aggregate answersDistributed node results are combined into one mathematically exact answer without exposing patient-level records.
Get started
Bring one question.
Tell us the real-world evidence question you would ask if access, privacy, and fragmented data were no longer the obstacle. We'll show how it becomes MDQL, where it runs, and what exact aggregate answer comes back.