ENGAGEMENT MODELS

Purpose-Built
Packages

Three ways to engage. matched to where you are in your evaluation, the scope of your program, and whether you need a platform or an independent assessment.

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6 Week Pilot

Validate AscertAInit against your actual documents before committing. Single discipline or document type, dedicated onboarding, and a quantitative ROI assessment at conclusion.

  • Single discipline or document type focus
  • Dedicated onboarding with an AscertAInit engineer
  • Findings report with severity grading and code clause traceability
  • ROI assessment with go/no-go recommendation
Flat pilot fee, scoped to your program
Full Platform
Scale

Program License

Full platform access across all live bundles and modules. Multi-discipline review with cross-reference resolution, batch upload, project dashboards, and aggregated maturity scoring.

  • All live bundles and modules across all engineering disciplines
  • Multi-discipline cross-reference resolution
  • Batch upload, project dashboards, maturity scoring
  • Multiple concurrent users with role-based access
Custom pricing, annual license
Advisory

Independent Assessment

AscertAInit-powered review delivered as a professional service. Engineer-reviewed findings, independent of the project team, suitable for third-party assessments, investment due diligence, and owner's engineering oversight.

  • Delivered as a professional service, not a software license
  • Engineer-reviewed findings report, not raw platform output
  • Applicable to independent reviews, due diligence, and owner's engineering
  • Gate scoring, design maturity, and regulatory readiness evaluation
Per-engagement, scoped to your requirements

Schedule Assurance and Cost Assurance Engines launching 2026. All Program License holders get priority access.

WHY ASCERTAIN

Traditional Process vs. AscertAInit

Design reviews today depend on whoever happens to be available, whatever criteria they happen to use, and however long the schedule allows. AscertAInit doesn't replace your engineers : it makes every review as thorough as your best reviewer on their best day.

"For which of you, desiring to build a tower, does not first sit down and count the cost, whether he has enough to complete it?"
— Luke 14:28
Review Time
Weeks per document or package
Minutes per document and total package
Criteria Depth
Depends on reviewer experience
7,500+ expert authored items
Standard Traceability
Informal, difficult to audit
Every finding maps to a specific clause
Cross-Discipline Coordination
Manual, siloed by discipline
Automatic cross-reference resolution
Design Maturity Visibility
Subjective judgment
Quantitative scoring per revision
Disposition Audit Trail
Email threads and spreadsheets
Immutable structured workflow
Reproducibility
Different reviewers, different results
With similar design considerations and constraints, findings are repeatable
COMMON QUESTIONS

Questions Your Team Will Ask

AscertAInit is currently cloud-hosted on commercial infrastructure with tenant-level data isolation. We are actively working toward deployment in a FedRAMP High-authorized environment with IL5 readiness for defense and energy programs. Contact us to discuss timeline and how we can align with your program's authorization requirements. On-premise and air-gapped deployment architectures for SCIF and disconnected environments are on our long-term roadmap for the Enterprise tier.
AscertAInit is deployed as a secure, managed cloud application. Documents are encrypted in transit and at rest within isolated, customer-specific tenancies. We do not use your documents, metadata, or engineering data to train shared models. We are actively developing deployment options to support stricter on-premise and FedRAMP High/IL5 requirements for future Enterprise releases.
No. AscertAInit relies on a proprietary Two-Pass Reconciliation Engine designed specifically for high-stakes engineering review. First, your reference documents are processed into structured data. Second, that structured data is evaluated against expert authored engineering criteria through a rigorous, multi-step reconciliation process. Instead of generating opinions like a standard conversational LLM, AscertAInit applies AI within a controlled framework to surface traceable findings. We do not use AI to author the rules. Every criteria item is written and maintained by human domain experts.
Our criteria are authored by industry experts and directly mapped to recognized engineering codes and standards. Every flagged issue traces back to a specific clause or design consideration, ensuring findings are objective, defensible, and grounded in established best practices.
PDF (including native CAD-exported PDFs), Excel-based documents (line lists, I/O indexes, load lists), and text-based specifications. Raster-only scanned drawings have reduced accuracy -- text-layer PDFs produce the best results.
Yes: at the Enterprise tier. You can add program-specific requirements, project-specific exclusions, and site standards that supplement the base criteria library. All customizations are version-controlled and auditable.
A structured proof-of-value engagement: onboarding with your document set, one to two live design review cycles, findings disposition training, and a quantitative ROI assessment at the end. Scope and pricing are tailored to your program.
API-based integration with major EDMS platforms (SharePoint, Aconex, ProjectWise, and similar) is on the Enterprise roadmap. Currently, document upload is via the AscertAInit web interface or batch upload.
GET STARTED

See What Your Reviews Are Missing.

Bring your document type. We'll run a live review and show you what AscertAInit finds. Built by engineers who have worked inside DOE programs, national labs, and EPC firms delivering complex industrial infrastructure.

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Technical Consultation

Speak with an engineer about your specific use case.

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Pilot Program

Learn about our 6-week proof-of-value framework.

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Schedule a Technical Demo

30 minutes with our engineering team. Bring your document type: we'll run a live review.

Book a Technical Demo →
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