Life Sciences & Biotech
Research data, structured and governed.
Research data lives in instruments, notebooks, and legacy documents that don't talk to each other. We structure it so scientists spend time on science, not data wrangling.
Samples, batches, instruments, and protocols on one governed graph, so lineage is a query and scientists get their time back.
Sample and batch traceability
Every sample tied to its study, protocol, and instrument history. Lineage you can show an auditor.
Legacy records, structured
Handwritten lab tables and old scans extracted into machine-readable data with confidence scores.
Grounded research retrieval
Agents that filter low-value results and return context grounded in your own corpus, not the open internet.
Studies, Samples, Instruments, Batches. Modeled as one.
We name the real objects your business operates on, how they connect, and what a person or an agent can actually do to them. That model is the map every decision ties back to.
Data & Platform Engineering
End-to-end builds in your cloud. Data pipelines, standardized transforms, governed datasets, and the ops UI that teams actually run.
Ontology Design & Modeling
We design the object model, the parts, orders, patients, and signatures, that becomes the operational graph your teams work from.
AI & Agent Workflows
AI grounded in your ontology. Agents governed by your business rules, with human-in-the-loop where it matters.
Document Ops Agents
Handwriting, signatures, messy tables, legacy scans. Agents that structure the documents nobody wants to type, with confidence scores and review queues built in.
Capabilities
- Handwritten extraction
- Signature verification
- Table structuring
- PII scrubbing & rehydration
Research Ops Agents
Grounded retrieval, context filtering, structured extraction from unstructured sources. Agents that make research workflows faster without making them sloppier.
Capabilities
- Grounded retrieval
- Context filtering
- Structured extraction
- Quality routing
Shipped, running, and measured.
Life Sciences Data Platform
Clinical Trial Analytics
Ontology-backed analytics platform unifying clinical trial data across sites, enabling real-time enrollment tracking, adverse event monitoring, and protocol compliance at scale.
12
Trial Sites
45K+
Patient Records
60%
Faster Reporting
3x
Query Resolution