Animated 3D visualization of document parsing

Capital Design
Execution Engine

Not a chatbot. Not a search engine. AscertAInit is a structured review engine: every finding is traceable to a specific design consideration, every output is audit-ready.

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Structured Design Review

Upload engineering documents. Get severity-graded findings mapped to specific code clauses across 7,500+ expert authored criteria items.

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Cross-Discipline Consistency

Eliminate interface clashes before they hit the field. 73+ modules across 12 disciplines and growing ensure your Process, Mechanical, and I&C teams are actually building the same plant.

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Robust Integration Excellence

Cross-references documents and inputs like never before, ensuring consistency among tables, lists, drawings, deliverables, and calculations in one single check.

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Package Intelligence

Project dashboards, batch upload with AI-powered document classification, cross-reference resolution, and aggregated maturity scoring across all modules.

01

Document Intelligence

Native ingestion across engineering file formats. Each document type requires its own parsing strategy, structural detection, and content normalization layer before a single review can begin.

Format-specific parsers · intelligent structure detection · header normalization engine
Parsing
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Domain-Specific Routing

Every document is matched to a purpose-built review module spanning three engines. Each module encodes discipline-specific evaluation criteria designed by engineers, for engineers.

Three engines · discipline-matched modules · evaluation criteria designed by engineers
Routing
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Project & Design Considerations Engine

Distilled evaluation logic informed by government and commercial national consensus codes and standards, with DOE and NRC regulatory frameworks selectable per project context. Structured for computational efficiency and focused on what matters most to capital project reviewers.

DOE & NRC frameworks · industry consensus standards · discipline-specific design considerations
Standards
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Cross-Document Reconciliation

No document exists in isolation. The platform verifies every submission against the full body of project documents already in session. Discrepancies between drawings, specifications, and estimates are surfaced automatically, not left for a reviewer to catch by memory.

Project-wide verification · persistent session context · cross-document consistency · automated discrepancy detection
Reconciliation
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Quantitative Analysis

Statistical methods applied to cost estimates, schedule metrics, and engineering data to surface anomalies that narrative review alone cannot detect. Multiple analysis techniques operate in parallel across every submission.

Outlier detection · benchmark comparison · risk simulation · schedule performance computation
Analysis
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Adversarial Detection

Capital project deliverables don't always reflect ground truth. Schedules are compressed without resequencing logic. Contingencies are buried or stripped. This layer is designed to find it. Detection patterns built from observed risk behaviors flag indicators of schedule risk, optimism bias, and concealed assumptions before they reach a decision-maker.

Risk pattern detection · optimism bias identification · concealed risk flagging · evidence-backed findings
Detection
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Structured, Auditable Output

Every finding carries a severity grade, evidence citation, impact assessment, and recommended action. Output is structured for direct use in board-level reporting, regulatory submissions, and investment due diligence. No interpretation required.

Graduated severity grading · compliance matrices · structured disposition workflow · executive narrative
Output
Platform at a Glance 73+ Review Modules · 7,500+ Criteria · 12 Disciplines · 50+ Standards Families

73+ Modules. 12 Disciplines and growing.
One Platform.

Each module is purpose-built for a specific engineering discipline, evaluated against expert authored criteria and domain-specific codes, standards, and regulatory frameworks. Every criteria item is verified through automated quality gates: standard-reference validation, cross-domain consistency checks, and severity calibration.

01

Process Engineering

Design completeness and safety basis verification across process documents

Operational
02

Piping

Pipe class, material, and routing compliance across design deliverables

Operational
03

Mechanical

Equipment specification completeness and design basis conformance

Operational
04

Civil & Structural

Structural adequacy and site design compliance across disciplines

Operational
05

Electrical

Power system design review across protection, distribution, and safety systems

Operational
06

Instrumentation & Controls

Control system completeness, loop integrity, and alarm rationalization review

Operational
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Safety & Fire Protection

Safety system design adequacy and hazard documentation completeness

Operational
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HVAC & Ventilation

Ventilation design basis compliance and confinement system review

Operational
09

Project Controls & Quality

Scope definition, work packaging, and configuration control readiness

Operational
10

Specialty & Multidiscipline

Cross-discipline coordination and specialty system design verification

Operational
11

Nuclear Standards

Regulatory framework compliance and DOE/NRC design requirements review

Operational
12

Environmental & Safety

Permit readiness, regulatory compliance, and hazard documentation review

Operational

Five Steps. Full Traceability.

Engineered for rigorous nuclear, DOE, and NNSA environments, AscertAIn applies across industrial capital facilities where precision, consistency, and an audit trail are paramount.

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01

Upload Diagrams, Specs, Calculations, Drawings, etc.

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02

Upload All Pertinent Input Documents

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AI Reviews criteria

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Severity-Graded Findings

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Reports, Dispositions, and More

Configuration Control

Every AI recommendation is tied to a specific version of the design baseline.

Traceability

Every finding maps to specific design considerations and constraints. No generic suggestions : only auditable, defensible results.

Human-in-the-Loop

AI proposes, but qualified engineers always dispose. No automated commits.

From Pilot to Portfolio

Start with one discipline. Prove ROI in 6 weeks. Expand on your terms. Designed for environments where incremental validation isn't optional: it's how you build institutional trust in new tools.

Start with a targeted pilot
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Phase 1

Targeted Pilot

Deploy AscertAInit on targeted deliverable review workflows : such as P&IDs, electrical SLDs, instrument I/O indexes, or other common engineering deliverables: and demonstrate measurable ROI in minutes.

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Phase 2

Program Integration

Expand across disciplines and document types. Integrate with existing EDMS workflows. Enable cross-discipline maturity scoring and aggregated findings reports.

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Phase 3

Portfolio Optimization

Enterprise-wide design verification across all programs. Compliance dashboards, regulatory trending, and continuous design maturity tracking from FEED through commissioning.

Start with one discipline. Prove ROI in 6 weeks.

View Engagement Models

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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