Engineering-Grade Research. Sovereign Domain SLMs & Deterministic AI.
Public cloud LLMs present three unacceptable risks for regulated enterprises and heavy engineering: intellectual property egress, probabilistic math hallucinations on safety-critical calculations, and unpredictable per-token billing. VM Micro engineers air-gapped, domain-specialized Small Language Models (SLMs) coupled with deterministic CAD and physics solvers.
Purpose-Built Domain Intelligence Inside Your Security Perimeter
Instead of routing confidential engineering blueprints, vendor contracts, and plant telemetry to third-party public APIs, VM Micro deploys a sovereign AI foundation tailored to your domain vocabulary and mathematical standards.
Versatile Industrial & Enterprise AI Foundation
The VM Sovereign AI Foundation serves as a high-precision cognitive engine across engineering, manufacturing, procurement, quality, and executive analytics. While general-purpose frontier models struggle with dense engineering nomenclature, Geometric Dimensioning & Tolerancing (GD&T), and multi-table ERP schemas, our domain-specialized Small Language Models (SLMs) are fine-tuned directly on industrial standards, technical drawings, and enterprise transaction structures.
Whether parsing a 40-page EPC tender specification, reconciling a Supplier Test Certificate (STC/MTC) against ASTM chemical limits, or correlating SCADA alarms with maintenance logs, the foundation delivers structured, citation-backed outputs rather than conversational guesswork.
Efficiency, Control & Sovereign Deployment
Engineered for lean, high-throughput inference, VM Micro's quantized 7B to 32B parameter architectures run natively on dedicated on-premises GPU nodes or inside your isolated, customer-managed cloud VPC. Organizations retain 100% ownership of model weights, fine-tuning adapters, vector indices, and execution audit logs.
Through standardized OpenAI-compatible local REST and gRPC endpoints, enterprise applications, CAD workstations (SolidWorks, Inventor, FreeCAD), and ERP/PLM systems invoke sovereign intelligence at sub-second latency, completely insulated from external internet outages, rate limits, or third-party data retention policies.
Neuro-Symbolic Architecture: Combining Language Cognition with Exact Physics
Language models excel at reading unstructured documents, but they should never improvise pressure vessel wall thicknesses or thermal conduction gradients. We separate cognitive extraction from deterministic calculation.
1. Zero Data Egress (On-Premises & Air-Gapped VPC)
Deployed via containerized vLLM and Triton inference servers directly on your internal GPU hardware or air-gapped private VPC. Proprietary 2D GA blueprints, P&IDs, metallurgical formulations, and supplier pricing tables never leave your network boundary.
2. Deterministic Physics & Codal Compliance
Our SLMs translate unstructured drawings, datasheets, and tender notes into strict, schema-validated JSON parameters and hand them off to deterministic ASME Section VIII Div 1/2, API 560, and IS mathematical solvers, producing 100% auditable glassbox equations ready for licensed Professional Engineer (PE) sign-off.
3. Predictable Fixed-Cost Compute Economics
Domain-specialized 7B to 32B models outperform massive general-purpose models on vertical tasks while consuming a fraction of the VRAM and compute, eliminating variable per-token billing surprises across high-volume document extraction and plant monitoring workloads.
Four Purpose-Built Industrial & Enterprise Domain Models
Modular, pre-trained domain weights and deterministic solver adapters that can be deployed individually or orchestrated as an end-to-end engineering and operational pipeline.
Ingests legacy 2D scans, multi-view General Arrangement (GA) drawings, DXF/DWG files, and P&IDs to extract dimensional topology, nozzle schedules, and GD&T callouts, synthesizing collision-free 3D parametric assemblies in FreeCAD, SolidWorks, Autodesk Inventor, and neutral STEP/IGES formats.
Couples domain language extraction with deterministic multi-layer refractory heat-flux conduction engines, pressure vessel shell & dished-head thickness calculations, nozzle reinforcement verification, and structural wind/seismic load checks with full step-by-step formula traceability.
Automates multi-level Engineering Bill of Materials (E-BOM) extraction from complex tender packages, computes optimal 1D/2D plate and pipe remnant nesting to minimize scrap, and generates itemized RFQ Bid-Packs synchronized with live ERP material rates and historical vendor lead times.
Parses incoming Supplier and Mill Test Certificates (STC / MTC per EN 10204 3.1 & 3.2) across skewed scans to verify heat numbers, chemical composition, and tensile strength against ASTM/ASME code tables, paired with high-speed edge vision for surface defect and dimensional QA.
Where Proprietary Product IP Delivers Step-Change Operational Velocity
Our research and product IP directly power VM Micro's flagship industrial and enterprise platforms, compressing multi-week engineering and operational cycles into minutes.
Autonomous 2D-to-3D Parametric CAD & Thermal Engineering Synthesis
Traditional CAD macros break when customer drawings arrive as non-standard PDFs or legacy scans. By combining multimodal spatial vision with deterministic geometry and physics kernels, our sovereign pipeline transforms raw tender drawings into verified 3D assemblies and fabrication deliverables.
- Spatial Graph Reconstruction: Correlates orthographic projections, sectional views, and nozzle tables into manifold 3D solid feature trees.
- Zero-Hallucination Code Validation: Executes exact ASME/API wall thickness, corrosion allowance, and refractory heat-loss formulas before generating shop drawings.
- Licensed Engineer Governance: Highlights every extracted dimension and equation in a side-by-side redline diff for rapid Chief Engineer approval.
Cross-System Plant Intelligence & Automated Metallurgical Compliance
Manufacturing and process enterprises lose millions to unlinked data silos, where incoming material certificates, nesting remnants, machine telemetry, and procurement schedules sit in disconnected systems. Our domain SLMs act as a unified cognitive fabric across the plant floor and C-suite.
- Automated STC/MTC Verification: Audits 100% of incoming mill certificates against purchase orders and ASME/ASTM chemical limits in under 90 seconds.
- Closed-Loop Remnant & Scrap Optimization: Links generated CAD cut-lists directly with live yard offcut inventory to reduce raw plate/pipe waste by 15–25%.
- Cross-System Decision Synthesis: Connects ERP, MES, PLM, and CRM streams so executives can query root causes of margin or OEE variance in plain language.
Five Core Application Pillars Powered by Secure Local APIs
Expose sovereign domain intelligence to your internal software ecosystem via role-governed REST and gRPC endpoints, embedding high-precision AI directly where your teams work.
Engineering Knowledge Retrieval
Index decades of historical GA drawings, design calculation sheets, SOPs, and commissioning reports into a permission-aware hybrid vector and graph repository with exact page and coordinate citations.
Project Monitoring & Milestone Audits
Continuously cross-reference EPC project schedules, fabrication shop logs, and vendor dispatch updates to flag critical-path slippage and bottlenecks weeks before delivery dates are impacted.
Quality Intelligence & Codal Compliance
Automate clause-by-clause compliance checks across customer technical specifications, Welding Procedure Specifications (WPS/PQR), and incoming EN 10204 material test certificates.
Operational Decision Support
Provide plant directors, supply chain heads, and CFOs with live scenario simulation and root-cause synthesis across ERP, MES, SCADA, and procurement databases without data leaving your VPC.
Deterministic Workflow Automation
Orchestrate multi-step agentic workflows that parse incoming RFQ emails, trigger deterministic CAD/BOM solvers, check ERP stock, and stage draft ERP transactions for human sign-off.
OpenAI-Compatible Local SDK
Drop-in compatibility with standard enterprise orchestration frameworks, custom Python/TypeScript microservices, and existing ERP/PLM webhooks, with 100% air-gapped sovereignty.
Public Cloud LLMs vs. VM Micro Sovereign Domain SLMs
Why industrial engineering, defense-adjacent manufacturing, and regulated enterprises choose domain-specialized sovereign models over generic public APIs.
| Architectural Dimension | Generic Public Cloud LLM APIs | VM Micro Sovereign SLMs + Deterministic Solvers |
|---|---|---|
| Data & IP Sovereignty | Proprietary drawings, BOMs, and financials traverse external third-party cloud servers. | 100% Zero Egress: Runs inside your on-premises GPU cluster or isolated private VPC. |
| Engineering & Physics Math | Probabilistic token prediction prone to dangerous arithmetic and formula hallucinations. | 100% Deterministic: SLM extracts parameters; verified ASME/API/IS solvers compute exact math. |
| Domain Vocabulary & CAD | Weak comprehension of multi-view 2D blueprints, GD&T symbols, and metallurgical grades. | Purpose-Trained: Fine-tuned on industrial drawings, EN 10204 MTCs, and ERP/PLM schemas. |
| Cost & Scaling Economics | Unpredictable per-token API billing that spikes as document and telemetry volume grows. | Fixed-Cost Compute: Lean 7B–32B quantized models running at flat infrastructure cost. |
| Auditability & Governance | Opaque black-box model updates that silently alter outputs across model versions. | Full Weight & Version Control: Locked model weights with glassbox PE sign-off trails. |
Configure Your Sovereign AI & Domain SLM Deployment
Select your infrastructure boundary, primary domain workload, and compliance requirements to request a tailored hardware sizing and architecture briefing from our principal AI engineers.
- 1 Deployment Boundary
- 2 Domain Workload
- 3 Integrations & Codes
- 4 Architecture Briefing
Sovereign Architecture Request Received
Thank you. A VM Micro Principal AI Architect will review your deployment boundary and domain workload parameters under strict NDA and reach out within 24 hours with a tailored VRAM/GPU sizing and pilot roadmap.
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