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Nomic AI

Domain-specific AI for code compliance and document intelligence in AEC

AEC-focused AI platform that understands 380+ building codes and standards. Automates code compliance checking, QA/QC reviews, RFI management, and submittal reviews by grounding AI in firm documents and industry standards.

$17M raised 📈 Growth Stage

Founded 2022 • Enterprise AEC firms including Aurecon (global design firm); 10-50 employees

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Why This Tool Exists

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The Problem

AEC teams waste 5-15 hours per week manually checking code compliance, reviewing QA issues, and processing RFIs. Without grounding AI in actual project documents and codes, generic AI tools produce unreliable outputs that require extensive human verification.

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The Solution

Nomic grounds AI in firm documents and 380+ building codes to automate compliance checking, quality reviews, and RFI processing. Responses are cited to source documents, enabling teams to trust outputs and operationalize AI across workflows.

How You Use It

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Delivery Method

SaaS API

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Integrations

Autodesk Construction Cloud (ACC) Bentley SharePoint Egnyte

Disciplines

Architecture, Structural Engineering, MEP Engineering, Construction, Civil Engineering

Project Phases

Construction Documentation, Bidding/Procurement, Construction Administration

Project Types

Commercial, Residential, Healthcare, Education, Infrastructure, Mixed-Use, Industrial

Data Transparency

Exactly what this tool uses and how

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Input

What it needs

Required: Building drawings, Project specifications, Building codes

Optional: RFIs, Submittals, Project schedules, Historical project data, Quality standards

Formats: PDF, DWG, IFC, Native CAD formats, Structured specifications

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Output

What you get

Format: Cited compliance reports and automated review results

Fields: Code compliance status and violations, Cited regulations and standards, QA/QC issue flags with locations, RFI responses with source citations, Submittal review recommendations, Referenced project documents and code sections

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Algorithm

How it works

Model: Proprietary domain-specific AI models trained on AEC documents and building codes

Accuracy: 92% time reduction in repetitive processes (reported outcomes, methodology not published)

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Privacy

How your data is protected

Retention: Project-based retention with option for zero data retention per legally binding agreements

Training: Not used to train models (zero data retention policy)

Compliance: SOC 2 Type II certified, Annual penetration testing, GDPR privacy notice for EU/UK residents

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API

Integration

Endpoint: https://docs.nomic.ai/reference/api/home

Method: REST API with parsing, extraction, and embedding endpoints

Use Cases

• Automated code compliance checking across 380+ standards
• QA/QC automation to flag quality issues before manual review
• RFI response automation with source citations
• Submittal review against specifications and drawings
• Drawing analysis and specification search across historical projects

Pricing

Free

Not available

Pro

Credit-based model (1 credit = 1 page; $50 free credits available)

Enterprise

Custom pricing based on document volume and deployment requirements

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📚 Research Sources & Data Quality Last verified: 2026-02-01

Data Sources (10)

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Verified Data (26)

vendor, website, fundingTotal, yearFounded, maturityStage, problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, input-required, input-optional, input-formats, output-format, output-fields, algorithm-approach, algorithm-accuracy, privacy-retention, privacy-location, privacy-compliance, control-features, api-endpoint, api-auth, use-cases

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Not Found (5)

customerBase-specific-names, api-rate-limits, pricing-exact-tiers, algorithm-model-details, training-data-sources

Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.