DataMesh Selected for Google for Startups Accelerator: Southeast Asia 2026

DataMesh has been selected for Google for Startups Accelerator: Southeast Asia 2026. During the three-month program, DataMesh will work with Google technical experts to strengthen the reliability and practical capabilities of FactVerse AI Agent in production environments and accelerate the adoption of Physical AI across real industrial operations.

The collaboration will also advance the industrial world model behind FactVerse, helping AI understand how physical environments operate and participate in analysis, simulation, and governed decision workflows.

Building AI for verifiable industrial decisions

Industrial decisions depend on equipment state, spatial relationships, live signals, operating procedures, and business processes. FactVerse brings these elements into a connected digital twin environment where AI Agents can select appropriate tools, preserve evidence, and return results for human review.

DataMesh is developing this decision environment around three complementary capabilities:

• Gemini can support the interpretation and reasoning of language, images, and multimodal industrial information.
• FactVerse connects industrial objects, spatial relationships, real-time data, permissions, tools, and workflows into an operating context for AI.
• Computational fluid dynamics (CFD), lattice Boltzmann method (LBM), and thermal-field solvers provide physics-based calculation and validation.

Together, these capabilities allow an Agent to investigate a condition, call analysis or simulation tools, organize supporting evidence, and retain the review and approval trail.

In semiconductor facility operations, for example, an Agent can combine live data, spatial context, and maintenance history to locate an abnormal cleanroom condition or utility asset. For a hazardous gas event, it can run a physics simulation to estimate dispersion and affected areas, reference the relevant standard operating procedure, and prepare recommended actions. Approved work can then move into a traceable work-order process.

Lowering the barrier to sustained industrial AI adoption

DataMesh Data Fusion Services connects information from equipment and business systems. FactVerse organizes that information into the industrial context required for analysis, simulation, and operational decisions.

Creating and maintaining this context remains a substantial part of industrial AI delivery. Equipment types and operating scenarios also require different analytical models, with training, evaluation, and updates often depending on specialists and custom engineering.

DataMesh will use the accelerator program to advance two Agent-driven workflows:

• Data preparation Agents that help interpret incoming data and map it to equipment, events, spatial structures, and business processes.
• Model training Agents that help teams train, evaluate, and update models for specific assets and operating scenarios using their own data.

These workflows are intended to help implementation teams and customer IT organizations configure and maintain industrial AI more efficiently, while reducing dependence on one-off model development.

DataMesh founder and CEO Jie Li said that reliable industrial AI begins with an accurate understanding of the real operating environment, supported by evidence, validation, traceability, and human oversight. Collaboration with Google experts will help DataMesh address these requirements across increasingly complex industrial scenarios.

Selection for the accelerator reflects DataMesh's progress in industrial Physical AI and creates new opportunities to bring FactVerse AI Agent into more production environments. DataMesh will continue strengthening data connectivity, executable digital twins, AI reasoning, and physics-based validation to support reliable and controllable industrial AI.

About Google for Startups Accelerator: Southeast Asia

Google for Startups Accelerator: Southeast Asia is a three-month, equity-free program for high-potential AI startups in the region. It combines technical mentoring, product support, engineering collaboration, and access to Google's global startup network.