A versatile industrial AI foundation engineered to combine the flexibility of modern language models with the efficiency, control, and sovereign customization that heavy engineering and manufacturing demand.
Engineered from first principles to bridge language models with physical manufacturing reality.
ZetaForge is being developed as a versatile industrial AI foundation that can power a new generation of intelligent applications across engineering and manufacturing. Through secure API integration, enterprises can build AI-powered solutions for engineering knowledge retrieval, project monitoring, quality intelligence, operational decision support, and workflow automation. With domain-specific learning and enhanced reasoning capabilities on its development roadmap.
ZetaForge aims to combine the flexibility of modern language models with the efficiency, control, and customization that industrial environments demand. Our ambition is to make enterprise AI more accessible, affordable, and deployable - bringing intelligence closer to where engineering and manufacturing decisions are made.
Through sovereign, high-speed API endpoints, ZetaForge powers five core enterprise capabilities across plants, engineering offices, and boardrooms.
Semantic indexing across standard engineering codes (ASME Section VIII, API 560, ASTM, IS), internal fabrication standard operating procedures, vendor documentation, and legacy drawing archives.
Synthesize shop-floor production telemetry, subcontractor dispatch logs, and fabrication milestones to flag progress variances and critical-path delays before schedule slippage occurs.
Optical inspection and automated verification of mill test certificates (EN 10204 Type 3.1 & 3.2), chemical composition heat values, weld NDT reports, and dimensional tolerance adherence.
Context-aware reasoning co-processors that evaluate complex engineering trade-offs: pre-bid fabrication costs, scrap and remnant plate nesting optimization, and metallurgy grade substitutions.
End-to-end automation bridging 2D tender drawings to 3D parametric CAD models, automated Bill of Materials (BOM) creation, and seamless bi-directional ERP and CRM data synchronization.
Continuous development milestones delivering specialized reasoning, deterministic accuracy, and seamless industrial deployment.
Fine-tuning on engineering standards (ASME, ASTM, IS), material science, and manufacturing vocabulary.
Deep spatial-geometric parsing of multi-layer vector CAD drawings, nozzle schedules, and weld symbols.
Zero hallucination guarantee by anchoring SLM outputs to deterministic thermal, structural, and ASME solvers.
Containerized on-premises runtimes with high-throughput vLLM for plug-and-play internal enterprise GPU clusters.
Purpose-engineered Small Language Models and neural parsers built for specific heavy manufacturing workflows.
Trained on multi-layer 2D engineering drawings, vector DXF topologies, and CAD geometric primitives. Automatically decomposes customer assembly schematics, extracts nozzle schedules, and constructs parametric 3D CAD feature trees.
Fine-tuned on thermal conduction curves, hot-face boundary conditions, and refractory lining material libraries. Computes deterministic multi-layer temperature gradients and verifies skin temperatures remain safely below 80°C.
Connects extracted part geometries to historical fabrication machine hours, welding cycle times, cutting scrap factors, and current raw material indices to generate accurate pre-bid estimates in minutes.
An optical cognition model that audits scanned mill test certificates (MTC), ultrasonic NDT reports, and welding procedure specifications (WPS) against project ASTM/IS specifications with 99.8% extraction accuracy.
Models run locally on your internal servers. Customer CAD drawings, formulations, and production data never leave your physical enterprise firewall.
Packaged with optimized vLLM / TensorRT-LLM runtimes for lightning-fast sub-second token generation on standard workstation enterprise GPUs.
No metered API charges or per-token surprises. Predictable software licensing that scales with your manufacturing throughput.
Schedule a private 30-minute architecture discussion with our engineering team to review on-premises model weights, hardware sizing, and proof-of-concept pipelines.