Evidence into decisions
Structured extraction and synthesis so experts reach judgment without starting from raw material.
Bring one evidence workflow your team needs to run.
We scope a supervised workflow around your approved tools and review process. Our starting point is medical-device document production using AI under expert oversight.
For medical-device and life-science teams bringing repeatable evidence work into their own operations.
Start with a workflow we know.
Our production experience is in evidence-heavy document work. An implementation starts with a defined task and a named expert reviewer.
Traceability by default
Source-to-claim links and reviewable handoffs built into the production process.
Structured scrutiny
Checks for contradictions, terminology drift, evidence gaps, and cross-document inconsistency.
Expert control
Risk-based review, clear escalation, and recorded accept-or-correct decisions.
Define the data boundary before the build.
We can scope work in a client-approved provider environment, including a client-owned account where agreed. Account ownership alone does not determine where data is processed.
If the workflow needs local models or dedicated infrastructure, feasibility and operating responsibilities need to be established before a build is promised.
Test a bounded workflow before expanding it.
Agree the intended result and acceptance checks, then begin with sanitized material in an approved environment.
A paid fit assessment establishes the scope. A pilot can then be agreed with named reviewers and a handoff plan. Further integration depends on the results.
Choose a task with a clear reviewer and a repeatable input.
It is valuable now, not hypothetical.
It repeats, or has a credible path to repeated use.
Inputs, outputs, and review criteria can be made explicit.
A human expert can accept, correct, or escalate the result.
Agree the scope and rights before work starts.
A useful partnership protects the process advantage that makes the work possible and gives the partner a clear route to value.
Paid and bounded first. Non-exclusive by default.
Existing intellectual property stays with its owner.
Data access and permitted processing are agreed before work starts.
HVDA's reusable process architecture remains reusable.
Product-specific rights and commercial terms are agreed before the build.
Tell us which evidence workflow needs to work better.
Describe the inputs and the result your reviewer needs. Include your approved tools and data restrictions, without sending confidential material.
Bring a workflowWe begin with a paid, bounded fit assessment.