AstraSure

Engineering assurance, accelerated by AI.

Turn fragmented requirements, supplier evidence, drawings and engineering records into traceable findings your reviewers can act on.

Evidence-backedEvery material finding remains connected to its source. Reviewer-controlledEngineering authority stays with accountable people. Deployment-readyBuilt for hosted, private and restricted environments.

The evidence exists. The decision is still difficult.

Complex engineering reviews span specifications, amendments, supplier submissions, drawings, certificates, calculations and revisions. Teams spend more time reconstructing context than exercising engineering judgement.

AstraSure creates a controlled view of what applies, what is supported, what conflicts and what still needs a decision.

Unsupported compliance Revision conflict Configuration drift Unowned findings

One place to understand readiness across engineering reviews.

Reviewers see priority, ownership, unresolved evidence and decision status without losing the underlying technical record.

AstraSure portfolio register showing engineering assurance cases and blockers
Portfolio-level readiness across technical procurement and engineering assurance.
Find what needs attention

Prioritise unsupported claims, stale reviews and unresolved discrepancies.

Inspect the evidence

Move from a finding to the exact source context used to support it.

Record the decision

Keep ownership, rationale, status and review history with the work.

A shared assurance layer for recurring engineering decisions.

Begin with the review that hurts most. Add adjacent decisions without rebuilding the evidence context each time.

01

Technical Bid Review

Evaluate supplier submissions against buyer requirements and supporting evidence.

Procurement
02

Design Change Impact

Understand cross-discipline consequences before selecting or approving a change.

Engineering
03

Model-BOM Assurance

Identify configuration discrepancies between design intent and material records.

Configuration
04

Drawing Release Assurance

Verify that production information reflects the intended and approved revision state.

Production
05

Design Validation

Support engineering checks with applicable rules, cited evidence and accountable review.

Compliance

Built for consequential work, not casual answers.

AstraSure is designed around evidence, review authority and measurable quality. AI accelerates interpretation; it does not silently approve engineering decisions.

Evidence

Traceable by default

Material conclusions retain inspectable source context.

Reasoning

Neuro-symbolic AI

Model interpretation is constrained by explicit requirements, evidence links and engineering rules.

Control

Human authority

Reviewers accept, reject, qualify and assign every consequential disposition.

Quality

Measured performance

Accuracy, support, overrides and review time can be evaluated on agreed cases.

Deployment

Quantized edge inference

Our roadmap targets customer-controlled hardware and disconnected environments with compact local models.

For organisations that cannot treat technical evidence casually.

Starting with shipbuilding and defence procurement, with the same need across aerospace, energy, rail, infrastructure and advanced manufacturing.

ShipbuildingDefenceAerospaceEnergyRailInfrastructureAdvanced manufacturingPublic procurement

AstraSure is building the assurance operating layer for complex engineering.

Founded by Omkar Ghugarkar, AstraSure starts with document-heavy technical reviews where evidence gaps and inconsistent revisions create immediate risk.

The company is opening its design partner programme to validate measurable improvements in review time, citation quality and material issues found.

Design partner programme

Bring one difficult technical review.

Define an approved evidence pack, compare AstraSure with the current process, and measure the result.

Request a pilot