Step 1
Evidence-linked findings
Every flagged gap points back to the source material, giving reviewers a clear place to verify context and resolve uncertainty.
EngSentry analyzes technical documents for gaps, conflicts, and risks, then routes every recommendation to human engineers for review and approval.
AI recommends. Qualified engineers make the final call.
What to expect from EngSentry
Recommendations stay connected to the document evidence that triggered them.
No recommendation is treated as approved until an engineer reviews it.
The system organizes uncertainty so experts can spend time on consequential decisions.
One governed review path
EngSentry brings machine-speed analysis and engineering judgment into the same review record—without blurring who made the decision.
Step 1
Every flagged gap points back to the source material, giving reviewers a clear place to verify context and resolve uncertainty.
Step 2
EngSentry surfaces missing requirements, conflicting assumptions, unclear interfaces, and review-critical risks before they become downstream rework.
Step 3
Recommendations remain proposals until a qualified human reviewer accepts, rejects, or revises them. AI assists; engineers decide.
Pricing
Straightforward packages for teams introducing a human-governed AI review process.
For one team validating an AI-assisted review workflow.
$249/month
For engineering groups running recurring document reviews.
$749/month
For governed deployment across programs or business units.
Custom
Document limits and implementation needs can vary by file size, discipline, and governance requirements.
Review clarity
Put expert attention where it matters
Start a focused EngSentry pilot and see how AI-assisted findings fit your team’s existing engineering approval process.