Your AI Knowledge Graph for Construction

Transforming construction technology with AI that understands context, orchestrates multiple agents, and delivers faster, smarter results without disrupting your existing tools and processes.

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Blueprint-style infographic showing interconnected icons representing different construction and architectural elements: building, helmet, package, and blueprint, linked by a central network of smaller icons symbolizing tasks and resources in a construction project.

Preconstruction-native agentic workflows powered by 50+ specialized agents.

Neuron Factory's knowledge graph is led by the team that architected LinkedIn's Economic Graph, joined by engineers who built AI training infrastructure at Microsoft and helped launch Waymo One at Waymo. We don't retrofit generic AI tools. We build connected workflows directly in the formats preconstruction teams already work in—sitting on top of your existing systems and inheriting each user’s access controls, with no rip-and-replace required.

CORE TECHNOLOGY PILLARS

Neuron Factory’s AI platform is the world's first construction-focused enterprise knowledge graph. It is not just another workflow tool, but the foundational intelligence substrate for AI agents across the construction lifecycle.Here are the features that make Neuron Factory unique:

Construction Query Engine (CQE)

Reads and understands all the different types of data from projects—drawings, specs, costs, and schedules—and puts them in one place you can search. Making it easy for workers and agents to find what they need and act on it.

Proprietary Knowledge Graph

Maps how every file connects—relationships, hierarchy and precedence—into a multi-dimensional graph. Built automatically and in real time by our trained agentic models extracting key information and relations from your knowledge base.

Eval Framework

Understands the quality of models, embeddings and search performance.

Construction-Specific Ontology

Agents are fluent in the language of construction. Whether identifying and cataloguing relationships across disciplines or defining operating workflows, they are grounded in the domain-specific taxonomy.

Specialized Agents

Each one tuned for a specific job. Agents work to spot conflicts, review scope, identify risk, count rooms and more, working in unison.

Scene Understanding & Design Intent

Uses scene understanding to grasp design intent, making logical, human-like assumptions, then reasoning across disciplines at once.

Unified AI UX

A single interface that conducts specialized agents behind the scenes, so backend complexity never surfaces.

Traceable Sourcability & Justification

Backs up every answer with inline citations to the source drawings or specs, spells out its reasoning chain, and leaves fields blank when confidence is low, always deferring final sign-off to the human reviewer.

Dynamic Process & Behavior Graph

Picks up on how individual estimators build their numbers from the ground up, turning that tribal knowledge into a standardized, lasting company asset.

Accuracy Over Speed

Correctness isn’t optional. Speed comes second to accuracy.

Multilingual Support

Reads a package in the language it was issued in, and produces the deliverable in the language the recipient works in.

Conflict and Gap Analysis

Cross-discipline reasoning that detects conflicts, exposes coverage gaps, and recommends the next action at every phase of construction.

Production Handoffs

Carries every preconstruction decision into the field with its reasoning intact, and flags it the moment the work diverges from what was agreed.

Transforming raw data into actionable knowledge

Unlike RFI management software or submittal review software that reacts to problems already in the field, Neuron Factory’s preconstruction context layer resolves the same conflicts upstream, before they generate a request for information in the first place.

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