Tatawur provides AI‑driven automation tools for engineering‑intensive industries, streamlining the entire design‑to‑build workflow. Their platform embeds intelligent agents and knowledge‑graph‑based compliance analysis directly into BIM authoring tools, allowing architects to receive real‑time code violation alerts with citations and uncertainty estimates. By integrating design conversion, bill‑of‑materials generation, and cost impact visualizations, Tatawur helps engineering teams cut weeks of manual work and make more informed decisions throughout project delivery.
Funding
Funding not disclosed
Founders
Product
Problem
Engineering-intensive projects such as construction, defense facilities, and offshore infrastructure rely on manual, fragmented workflows across BIM authoring, cost estimation, and compliance verification, leading to prolonged design cycles, costly rework, and difficulty tracking code adherence.
Solution
Tatawur offers an AI-driven platform that embeds intelligent agents and a queryable knowledge graph of building codes directly into BIM tools, providing continuous compliance analysis as designers work. The system leverages graph neural networks and large language models to surface code violations with precise citations and uncertainty estimates, shifting issue detection upstream. Integrated design-to-build pipelines automate BIM conversion, bill‑of‑materials generation, quantity takeoffs, and cost integration, giving teams real‑time visibility into procurement and construction planning. Augmented‑reality visualizations and high‑precision point‑cloud scanning enable field verification of as‑built conditions, while computer‑vision models automate inspection tasks such as corrosion grading.
Target Audience
Primary customers are engineering firms, architecture and construction companies, and defense contractors that manage complex BIM‑based projects and require automated compliance, cost visibility, and field verification.
Features
- Knowledge‑graph‑based encoding of UFC, IBC, and other codes for instant, queryable compliance checks within BIM authoring environments
- Agentic AI that applies graph neural networks and LLM reasoning to highlight violations with specific code references and confidence scores
- End‑to‑end design‑to‑build pipeline covering BIM conversion, automated drawing production, bill‑of‑materials generation, and live cost impact tracking
- Augmented‑reality iOS application for life‑size design visualization and on‑site verification against design intent
- High‑accuracy point‑cloud scanning (0.25″ over 30′) for precise as‑built reconstruction and validation
- Computer‑vision models for automated structural inspection tasks, such as offshore corrosion grading
- Parametric design optimization and geometric adaptation to project constraints, enabling scalable output without expanding team size