Terragrit provides a cloud‑native platform that creates high‑fidelity digital twins of large‑scale physical infrastructures by ingesting IoT sensor streams, BIM models, and GIS data. Engineers can run real‑time physics and flow simulations, execute scenario‑based tests, and integrate results with SCADA, ERP, and analytics systems via RESTful and gRPC APIs, reducing the need for costly physical prototyping.
Funding
Funding not disclosed
Founders
Product
Problem
Complex physical infrastructures—such as utility grids, manufacturing plants, and large‑scale construction sites—require extensive testing and operational planning, but traditional methods rely on costly on‑site trials or static CAD models that cannot capture dynamic behavior. This limits the ability to predict performance, assess risk, and iterate designs efficiently. Consequently, organizations face prolonged rollout cycles and higher operational overhead.
Solution
Terragrit delivers a dedicated virtualization engine that creates high‑fidelity digital twins of physical environments, enabling engineers to simulate, test, and optimize real‑world systems entirely in software. The platform ingests sensor feeds, BIM data, and GIS layers to generate a synchronized virtual replica that reflects real‑time state changes. Users can orchestrate scenario‑based experiments, run automated validation scripts, and evaluate “what‑if” outcomes without disrupting live operations. Integrated APIs allow seamless coupling with existing SCADA, ERP, and analytics stacks, while a cloud‑native architecture ensures scalability across enterprise‑level deployments. By consolidating design, testing, and monitoring into a single virtual workspace, Terragrit reduces physical prototyping costs and accelerates decision cycles.
Target Audience
Primary customers are infrastructure operators, systems engineers, and simulation teams in utilities, heavy manufacturing, and large‑scale construction firms that need to model and test physical assets virtually. The solution also serves technology partners integrating digital‑twin capabilities into their enterprise software suites.
Features
- Real‑time data ingestion pipeline that maps IoT sensor streams, BIM models, and GIS datasets into a unified digital twin
- High‑performance physics and flow simulation modules optimized for large‑scale infrastructure workloads
- RESTful and gRPC APIs for bidirectional integration with SCADA, ERP, and third‑party analytics platforms
- Cloud‑native orchestration with auto‑scaling compute resources and containerized microservices for fault‑tolerant operation
- Role‑based access control and end‑to‑end encryption to protect proprietary infrastructure data
- Collaborative web UI with versioned scenario management, change tracking, and visual analytics dashboards
- Extensible plugin framework allowing custom model extensions and domain‑specific scripting in Python or JavaScript