VentraFlow by Sukra Infotek & Atlas IntelliTek transforms traditional, expert-dependent CFD into an automated, AI-orchestrated engineering workflow — from general-purpose fluid modeling to specialized industrial applications. Physics-accurate insights at scale.
Multi-agent orchestration meets OpenFOAM physics — powering both foundational and industry-specific fluid modeling.
Ingests IFC/STEP/Revit models. Deploys snappyHexMesh pipelines with automated y+ targeting and refinement zones.
Incompressible RANS models, pressure zoning, ACH analysis, and thermal comfort mapping.
LLM agents for error detection, solver restarts, and boundary condition validation via RAG-supported knowledge.
From aerodynamics to heat transfer, VentraFlow automates the full spectrum of CFD analysis with AI-driven precision.
Vehicle & building aerodynamics, drag optimization, wind load analysis, and flow separation prediction.
Conjugate heat transfer, natural & forced convection, thermal management, and cooling optimization.
Pressure drop analysis, flow distribution, manifold optimization, and valve performance modeling.
Gas-liquid interactions, chemical mixing, particle transport, and separation process modeling.
SIMULATION PREVIEW
For in-house MEP/CFD teams needing consistent, repeated studies.
Defined deliverables. We run the automation, you get the insights.
Dedicated CFD+AI engineers integrated into your workflow.
Powered by the Sukra Infotek + Atlas IntelliTek alliance. We aren't just building software; we are building the future of physics-based AI.
Full-Stack Backbone: Cloud, DevOps, & Multi-Agent Systems.
Engineering-Grade AI: Built on validated domain physics.
AI-driven CFD pipeline automation across general and industrial domains, Error Correction Loops, 3D vtk.js Visualization.
Surrogate modeling to accelerate cycles. Digital Twin integration with BMS/SCADA systems.
Predictive analytics for energy faults. Domain-tuned CFD AI models. Multi-physics extensions.