Neuron Factory

AI-native knowledge graph platform for construction preconstruction workflows

Neuron Factory ingests project documents, drawings, and communications into a construction-specific knowledge graph and deploys coordinated AI agents ("AI CoWorkers") that traverse it to detect cross-discipline discrepancies, assess risk, and generate scopes of work during preconstruction.

$6M seed round disclosed (May 2025, from Activant Capital, Colle Capital, Karman Ventures, Punch Capital, and Cordeel Group chairman Filip Cordeel) plus an undisclosed-amount strategic investment round (March 2026) from Trimble Ventures, Suffolk Technologies, Zacua Ventures, Imad Ventures, and existing investor Colle Capital raisedEarly Stage

Founded 2025 · Cordeel Group (Belgium-based European general contractor) is the first named pilot customer, announced May 2025 as part of the seed round. Company also states its platform is deployed "with some of the world's largest and most innovative construction and building technology companies" without naming additional clients. No public customer count disclosed.

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WHY IT EXISTS

Why This Tool Exists

The Problem

Preconstruction teams manually cross-reference drawings, specifications, tender documents, emails, and schedules scattered across disciplines to spot conflicts and assess risk before committing to a scope or budget - a fragmented, largely manual process during the project phase when cost and risk outcomes are most determined, according to the company's own framing of the problem.

The Solution

Neuron Factory ingests unstructured project documents (emails, PDFs, tender docs, drawings, spreadsheets) plus passive workflow signals into a proprietary knowledge graph built with vector search and GraphRAG and a construction-specific ontology, modeling relationships between documents, teams, and decisions. Coordinated AI agents traverse this graph to surface cross-discipline discrepancies, run risk analysis, and generate scopes of work, and use "Reverse Prompting" to proactively push updates (e.g., a stakeholder email) when upstream project data changes, rather than waiting for a user query.

USAGE

How You Use It

Delivery Method

SaaSWeb App

Integrations

Not publicly specified - vendor states the platform offers "interoperability with existing platforms" and integrates without requiring a full data overhaul, but no specific named integrations (e.g., Procore, Autodesk Construction Cloud) were found on public sources

Disciplines

Construction, Architecture

Workflows

Data & Automation

Project Phases

Preconstruction, Estimating, Bidding/Procurement

Project Types

Not publicly specified - named pilot customer Cordeel Group is a diversified European general contractor (Belgium); no stated restriction to a specific building type or project scale

TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input

What it needs

Required:Project documents (drawings, specifications, tender/bid documents), Communications and schedules (emails, spreadsheets)

Optional:Site photos, Browser tracking and audit-log data (for passive context building, per company product page)

Formats:PDF, Email, Spreadsheets, Structural/design drawing files (specific CAD/BIM formats not publicly enumerated)

Output

What you get

Format:Queryable knowledge graph with agent-generated alerts, reports, and documents

Fields:Cross-discipline discrepancy/conflict flags, Risk analysis findings, Generated scopes of work, Proactive stakeholder update communications ("Reverse Prompting")

Algorithm

How it works

Model:Proprietary knowledge graph and multiagent system combining vector search with GraphRAG (graph-based retrieval-augmented generation) and a domain-specific construction ontology; the underlying foundation LLM(s) are not publicly disclosed

Accuracy:No independently published accuracy or benchmark figures. A quoted Trimble Ventures executive states the platform achieves "true semantic understanding of construction drawings" - a vendor-solicited claim, not independently verified.

Privacy

How your data is protected

Retention:Not publicly specified - a privacy policy page is indexed at neuronfactory.ai/privacy-policy but returned an HTTP 404 error when fetched directly during research; no retention terms could be independently verified

Training:Not publicly specified

Compliance:No SOC 2, GDPR, or other third-party compliance certification found on public sources as of research date

API

Integration

Endpoint:Contact vendor for API access

Method:Not publicly documented

USE CASES

Use Cases

·Cross-discipline discrepancy and conflict detection across architectural, structural, and MEP drawings during preconstruction
·At-scale risk analysis and interpretation of tender/bid documents before contract commitment
·Automated scope-of-work generation from unified project documentation
·Unifying drawings, specifications, costs, and schedules into a single queryable hub for preconstruction teams
·Proactive stakeholder notifications when schedule or cost data changes via "Reverse Prompting"

PRICING

Pricing

Free

Not publicly specified - no free tier or trial found on public site

Pro

Contact vendor for pricing - no public pricing tiers found

Enterprise

Custom pricing for enterprise deployments; piloted with large general contractors (e.g., Cordeel Group) and building-technology companies

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Research Sources & Data QualityLast verified: 2026-07-16

Data Sources (10)

Verified Data (8)

problem, solution, deliveryMethod, yearFounded, fundingTotal, customerBase, algorithm-approach, headquarters

Not Found (8)

integrations, pricing-dollar-amounts, api-documentation, soc2-or-third-party-certifications, ai-training-data-use, privacy-policy-terms, independently-verified-accuracy-benchmarks, exact-customer-count

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.

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