Nomic

Nomic is the domain-specific AI platform accelerating the design and construction of the Built World. Purpose-built for architecture, engineering, and construction (AEC) organizations, Nomic transforms decades of unstructured firm data into trusted, AI-ready knowledge that can be operationalized across real project workflows. AEC firms generate and accumulate enormous volumes of institutional knowledge—drawings, specifications, calculations, reports, submittals, standards, and correspondence—distributed across SharePoint, Autodesk Construction Cloud, Box, network drives, and legacy systems. While this information represents generations of expert practice, it is often difficult to search, hard to validate, and rarely reused effectively. As senior staff retire or change roles, critical context and decision-making knowledge is lost, forcing teams to rework problems that have already been solved. General-purpose AI tools fail in this environment. Without deep understanding of AEC documents or access to authoritative internal sources, these systems hallucinate, oversimplify, or return generic answers that cannot be trusted in production workflows. They struggle to interpret drawings, navigate long specifications, or connect information across document types—making them unsuitable for quality-critical engineering and construction tasks. Nomic addresses these challenges by securely connecting to a firm’s existing data silos and infrastructure, without requiring data migration or “rip-and-replace” workflows. Using domain-specific AI models designed for large, complex AEC documents, Nomic reads, structures, and indexes multimodal files—including 200-page drawing sets and 800-page specifications—into organized, searchable, and citeable knowledge. This enables accurate AI assistance grounded entirely in a firm’s real documents. The Nomic Platform delivers out-of-the-box AI workflows for time-intensive, high-value AEC use cases. These include submittal reviews, drawing QA/QC, building code and standards compliance, RFP and proposal responses, and historical detail or precedent lookup. Teams can query decades of drawings, specs, and reports in natural language and receive precise answers backed by direct references to source documents—dramatically reducing review time while improving confidence and consistency. Nomic is designed around how AEC teams actually work. Its workflows reflect real engineering and design processes, supporting industry-specific queries across hundreds of building codes and standards. By making institutional knowledge conversational and accessible, Nomic enables junior engineers, project managers, and non-technical stakeholders to operate with the insight, judgment, and efficiency of senior principals—without increasing risk. For organizations with in-house AI or software teams, Nomic also provides a Developer API, serving as a foundational framework for building customized knowledge agents across all firm data. The API exposes Nomic’s drawing understanding and document intelligence capabilities, allowing teams to develop bespoke AI solutions tailored to internal workflows, project delivery tools, and proprietary standards. This flexibility makes Nomic both a turnkey solution and a long-term AI platform for innovation. Security, privacy, and governance are foundational to Nomic’s architecture. The platform connects to data where it lives and inherits existing access controls and permissions. Nomic supports zero data retention, legally binding non-retention agreements with external providers, and secure deployment options—including customer-managed cloud or on-premise environments. Firms retain full ownership and control of their data at all times. By transforming disconnected, dormant documents into operational knowledge, Nomic delivers immediate productivity gains—saving teams thousands of hours annually while improving quality, consistency, and institutional memory. More importantly, it ensures that expertise is preserved, trusted, and continuously applied across projects. Nomic is architected and engineered for industry leaders who want AI that truly understands the built world—and delivers results teams can rely on.