Connect source systems, apply institution-defined workflow rules, and preserve source and review context.
Results cross laboratories, clinical systems, study teams, and payers. At each handoff, teams reconcile identity, terminology, evidence, and review status.
That repeated work slows report delivery, protocol review, reimbursement, and multi-site research without adding scientific value.
Veridata was founded by operators with experience across diagnostic laboratories, institutional operations, payer workflows, and clinical systems of record. We built the platform to make those handoffs explicit, reviewable, and institution-controlled.
These principles guide product, deployment, and workflow decisions.
We do not own or resell institutional records, or use them to compete with our customers. The institution retains ownership of its data and ontology.
For governed rules, the same versioned inputs produce the same versioned outputs. Each step records its version and source provenance.
The institution keeps its data, semantic model, and workflow context. Encryption-key ownership and configuration depend on the deployment scope.
Each transformation records its input, version, and output so an authorized reviewer can inspect how the result was produced.
Institution-defined criteria and deterministic rules handle routine steps. Model-assisted reasoning is limited to approved workflows and remains subject to human review.
Governed outputs retain source references, applied rules, transformation history, and reviewer context.
Veridata was built from direct experience shipping infrastructure for molecular diagnostics, clinical integration, and laboratory operations.
Previously led technical product work on infrastructure supporting Guardant Shield and Quest's Haystack MRD platform. Brings more than 15 years of experience across molecular diagnostics, clinical integration, and laboratory operations.
Veridata runs on Google Cloud and AWS, participates in NVIDIA Inception, and has established an MoU with Amaravati Quantum Valley for future quantum precision medicine collaboration.
Identity, permissions, storage, encryption, and audit controls are configured within each deployment boundary.
Program membership supporting Veridata's work across accelerated computational and molecular workflows.
MoU establishing a framework to explore how governed clinical and molecular data can support future hybrid classical and quantum research workflows.
Veridata publishes program and collaboration affiliations only after all parties approve public disclosure.