Accelerate Precision Medicine.
veridata OS
Veridata OS combines a deterministic data substrate, encoded regulatory logic, and permissioned AI agents to execute regulated biomedical work reproducibly at scale. All multi-omic and clinical data enter through a governed ingestion layer; workflows and compute execute deterministically; and lineage and provenance are enforced through an integrated compliance model. Research and clinical applications operate directly on this execution environment, while certified AI agents automate defined functions using only lineage-verified, structured data.
Specialty Diagnostics
Assays are onboarded through a single governed execution pathway, where encoded analytical logic and certified agents replace custom-built pipelines. Lineage is enforced across ingestion, QC, compute, and reporting, allowing launch timelines to compress from quarters to weeks while results remain consistent, reproducible, and audit-ready.
Clients we serve.
Clients we serve.
Our unique approach.
Precision medicine breaks down when execution is rebuilt from scratch. Data pipelines, workflow logic, compliance controls, and AI behaviors are re-implemented for every assay, trial, and program, creating drift, delay, and regulatory risk.
Veridata OS provides a single execution environment where data, logic, and AI agents operate together under deterministic control.
01
Ingestion Layer
One canonical ingestion pipeline for every modality. QC, normalization, and entity resolution enforced before any workflow or agent executes.
02
Lineage + Compute Engine
Deterministic, versioned, GPU-accelerated compute with full 21 CFR Part 11 provenance, governing logic layer for all execution.
03
Clinical Applications
Execution surfaces powered directly by OS-level data and logic, not standalone apps - ordering, trial matching, oncology timelines...
04
Certified AI Agents
Permissioned AI agents that execute defined biomedical jobs, evidence generation, cohort orchestration, QC enforcement, on lineage-verified data with full auditability and human sign-off.
From Your Current Stack to Veridata OS
How teams move from fragmented execution to a unified operating layer, without disruption.
Day 0: Your Reality Today
Most precision medicine teams operate in a fragmented state.
-
Pipelines are built by hand for each assay or study.
-
Scripts, notebooks, and workflows are stitched together program by program.
-
Lineage lives across systems, spreadsheets, and logs.
-
Validation is repeated with every change.
-
AI operates outside a consistent governance framework.
Each new assay or deployment restarts the same work, again.
Day 30: Veridata OS Ingested
Veridata is introduced alongside existing systems, without disruption.
-
Data flows through a single governed ingestion pathway.
-
Core entities like patients, samples, assays, molecular features are mapped once and reused.
-
Quality controls, normalization, and identity resolution are enforced automatically.
-
Lineage and provenance are established at ingestion.
Teams work the same way. The system now provides guarantees.
Day 90: Deterministic Execution
With ingestion and lineage in place, execution fundamentally shifts.
-
New assays are re-configured, not re-built.
-
Identical inputs produce identical outputs, provably.
-
Re-runs, audits, and submissions no longer require reconstruction.
-
Regulatory artifacts emerge naturally from execution.
-
AI operates only on structured, lineage-verified data.
Execution becomes reproducible, auditable, and scalable by design.
Platform Benefits
Lower Operating Cost
20%
Reduction in Process Time
40%
Increase in throughput
15%
The Veridata OS Workflow: How regulated biomedical work moves from bespoke pipelines to governed execution.
Securely ingest multi-omic, clinical, and real-world data through a single governed pipeline, without changing source systems.
01: Ingest
Map assays, protocols, and regulatory requirements into versioned, deterministic execution logic that can be reused across programs.
02: Standardize
Run workflows at scale using lineage-verified compute and constrained AI agents, with audit artifacts generated automatically.
03: Execute
Platform Usecase
Deterministic GPU Acceleration
This engagement remains in active development. Results and system behavior may evolve in response to changing clinical needs, regulatory expectations, and advances in AI-driven precision medicine.
The Golden Thread
This engagement remains in active development. Results and system behavior may evolve in response to changing clinical needs, regulatory expectations, and advances in AI-driven precision medicine.
Oncology Care Execution
This engagement remains in active development. Results and system behavior may evolve in response to changing clinical needs, regulatory expectations, and advances in AI-driven precision medicine.
Molecular Signal Engine
This engagement remains in active development. Results and system behavior may evolve in response to changing clinical needs, regulatory expectations, and advances in AI-driven precision medicine.
