A shared assurance architecture for high-stakes technology decisions.
Atlas, Trace, and Sentinel serve different workflows, but they are designed around the same discipline: preserve source evidence, structure the decision, apply the right kind of check, label uncertainty, and leave consequential judgment with an accountable person.
Make the trust boundary visible.
Evidence
Capture sources, spans, identifiers, dates, and provenance.
Structure
Represent claims, dependencies, constraints, events, and decision requirements.
Inference
Use models to propose mappings, interpretations, rankings, or forecasts.
Checking
Apply rules, schemas, solvers, calibration tests, or formal proof where appropriate.
Assurance
Emit a record of what passed, what conflicted, what remains uncertain, and who owns the decision.
Three products can share evidence without sharing unsupported certainty.
When integrations are enabled, the products can pass structured evidence and decision context between workflows. Each receiving product retains the original source, status, assumptions, and limitations.
Technology signals to patent review priorities
Use emerging technical and market signals to prioritize which patent families merit closer renewal, licensing, or enforcement review. Sentinel provides the evidence timeline; Trace provides claim-level analysis. The portfolio and legal decision remains human-owned.
Claim issue to evidence-linked expert routing
When Trace surfaces a technical issue, Atlas can suggest attorneys, engineers, researchers, or domain specialists whose recorded work is relevant. The recommendation shows its evidence and estimated fit; the response lead selects the team.
Emerging field to capability scenario
Use Sentinel's labeled technology scenarios to examine possible future expertise needs in Atlas. Scenario outputs are estimates, not workforce facts, and should be compared with institutional strategy and human judgment.
A proof is only as broad as its proposition and premises.
Trace applies formal methods to selected structured computations. For an eligible output, the certificate names the theorem, premises, definitions, toolchain, axiom audit, and result. This establishes the proposition in that formal environment. It does not establish that unverified source interpretation, claim construction, evidence selection, or legal judgment is correct.
See a sample certificate and trust boundary →What the products are designed to share
Evidence records
Resolvable sources, cited spans, provenance, and version history.
Typed decision structures
Claim graphs, team constraints, event records, and customer-defined policies.
Assurance labels
Formally proven, deterministically checked, evidence-grounded, calibrated, estimated, or unverified.
Governance hooks
Roles, review states, audit events, retention settings, and deployment-specific controls.
Inspect the output, not just the answer.
See how Ascendr records evidence, checks, assumptions, and review status in one of your workflows.