Skip to content
Federated analytics platform

Bring the query to the data,
not the data to the query.

Celato runs governed analyses inside the hospitals that hold the records — clinical notes included. Patient-level data never moves. Only approved evidence comes back.

No patient-level data transfer Custodian approval on every query Reproducible and fully audited
Scroll

Federated analytics platform

Run your study
where the data lives.

Celato executes feasibility, cohort discovery and real-world evidence analyses inside the hospitals that hold the records — clinical notes included. Patient-level data never moves. You get governed, reproducible answers in weeks.

No data transfer. No site-by-site export agreements. Full audit trail.

How a Celato query runs A research question is planned by Celato, approved by each hospital, executed locally inside the hospital boundary, and returns aggregate results only. YOUR QUESTION How many eligible patients, and where? Reproducible query plan Versioned · policy-checked · audited HOSPITAL BOUNDARY Site A · approved Executed locally Site B · approved Notes + structured records Site C · in review Custodian approval pending Raw patient records never leave this boundary RETURNED TO YOU Approved aggregate results only
Piloted at a leading pediatric medical center No patient-level data transfer Custodian approval on every query Reproducible, fully audited

The gap

The patients you need are in data you can't reach.

Claims and commercial real-world data sets miss what actually determines eligibility. The records that hold it sit inside hospitals — behind agreements that take longer to negotiate than the study takes to run.

Invisible eligibility

Biomarker status, prior lines of therapy and clinical rationale live in notes and reports — not in coded claims. Cohorts built without them are wrong before you start.

Access outlasts the question

Site-by-site data-use agreements run for many months and frequently collapse on privacy grounds. By the time access clears, the decision has been made without the evidence.

Feasibility comes too late

Protocols get committed before anyone knows whether the population exists. Enrollment failure is the most expensive way to discover the answer.

For sponsors

Three questions worth asking before you commit.

Each runs as a governed query inside participating hospitals. You never receive patient-level data, and you never need to.

01 · Feasibility & site selection

Know the population exists before you write the protocol.

Define the criteria you actually care about — including ones that only exist in notes. Get counts, characteristics and site distribution back as aggregates.

  • Eligible patient counts per site
  • Which hospitals can realistically enroll
  • Criteria tested and revised in days, not quarters
See a worked feasibility example
ELIGIBLE PATIENTS BY SITE Site A184 Site B137 Site C91 Site D58 Site E34 Aggregate counts only · illustrative
02 · Unmet need & indication expansion

See how your product is already being used.

Treatment outside the approved label is a signal, not an anomaly. Celato surfaces those patterns systematically — the starting point for label extension and for evidence regulators expect you to have.

  • Off-label and unmet-need patterns, surfaced systematically
  • Pediatric and rare-disease populations others can't see
  • Clinician-validated before it reaches you
Request an evidence-signal example
LABEL VS. OBSERVED USE Approved indication On-label population Observed off-label pattern Consistent cohort · documented rationale Candidate for indication expansion
03 · Outcomes & safety

Longitudinal evidence, across sites, without a transfer.

Effectiveness, discontinuation, adverse events and comparator groups — analyzed where the records live and returned as governed aggregates that hold up in a submission.

  • Multi-site cohorts without multi-site exports
  • Post-marketing commitments and safety follow-up
  • Every query versioned and reproducible on demand
Discuss a study design
LONGITUDINAL FOLLOW-UP Baseline12 mo24 mo Treated Comparator · illustrative

How it works

Governance sits in the path, not around the edge.

Four steps. The hospital approves before anything runs, and only approved aggregates come back.

01

Define the question

Population, endpoint and follow-up window become an explicit, versioned query plan.

02

Custodian approves

Each hospital reviews the plan against its own policy and approves, scopes or declines it.

03

Execute locally

Computation runs inside the hospital. Structured records and clinical notes are standardized in place.

04

Governed results return

Approved aggregates only, with a complete audit trail from question to output.

A governed bridge between research intent and distributed clinical data.

Live view
How a research question becomes governed evidence A research question moves from the researcher into Celato's governance and orchestration layer, is approved by each custodian, executes inside the hospital data environment, and returns only approved aggregate output. Patient-level records never leave the hospital boundary. 01 · RESEARCH INTENT Life-science research team Question and hypothesis Cohort logic Endpoint definition 02 · GOVERNANCE LAYER Celato orchestration Policy checks Query planning Audit trail CUSTODIAN BOUNDARY 03 · CUSTODIAN DATA Hospital environments Structured tables Notes and reports Local execution query execute Patient-level records never cross this line

Computation is routed to the approved environment, so sensitive records remain inside the hospital boundary. Only the approved aggregate output travels back.

Privacy-first execution Custodian approval Standardization Auditability Composability

For hospitals and data custodians

Support more research. Give up no control.

Your data stays inside your boundary. You approve every query and every release. What changes is what your institution can do with the records it already holds.

Answer your own questions faster

Investigators size a cohort or test a hypothesis in days instead of through manual chart review.

Become a paid research site

Sponsor-funded studies come to you because the evidence shows your patients qualify — as a research partner, not an unremunerated data source.

Join multi-site studies safely

Participate in multi-center research through the federated network without transferring a single patient record.

Governance & security

Built so the answer is defensible.

Every constraint here exists because a hospital privacy office asked for it. That is what makes the next hospital say yes.

  • No patient-level data transferRecords never leave the custodian environment. Only approved aggregate outputs are returned.
  • Approval before executionEach institution reviews and approves every query plan against its own policy before anything runs.
  • Reproducible by designQuery logic is versioned. Any result can be regenerated and traced back to the question that produced it.
  • Complete audit trailQuestion, criteria versions, policy checks, execution and release are all recorded.
  • Data residency respectedExecution stays within the jurisdiction and infrastructure the custodian already operates.

Get started

Bring one question.

You don't need a data strategy or a signed agreement to start a conversation. Tell us one question you'd ask if access weren't the obstacle, and we'll show you exactly how it would run.

What you'll get back within one business day: a technical overview, a worked example in your therapeutic area, and a straight answer on whether your question is a fit.

Please don't include patient-level information in this form. We'll only use your details to respond to this enquiry.