# TecunTecs

> TecunTecs is a Physics AI engineering consultancy. It helps engineering and R&D organizations
> evaluate, build, validate, deploy, and integrate Physics AI and Physics ML systems — from
> feasibility assessment through NVIDIA PhysicsNeMo prototypes to production GPU infrastructure
> and bespoke scientific software.

Company: TecunTecs
Website: https://tecuntecs.com
Category: Physics AI Engineering Consultancy
Model: Founder-led technical consulting and implementation services (B2B)

## What TecunTecs Does

TecunTecs helps engineering and scientific teams figure out where Physics AI is actually useful,
then builds the software and infrastructure required to put it into production. It occupies the
gap between engineering domain expertise, Physics ML, and production software.

Clients' engineers remain the authority on the physics. TecunTecs provides the Physics AI,
software engineering, cloud infrastructure, and implementation expertise required to turn that
knowledge into usable systems.

## Core Services

- Physics AI Opportunity Assessment — determine where Physics AI is technically and economically
  justified: workflow review, simulation bottlenecks, data readiness, candidate architectures,
  validation requirements, deployment constraints, pilot roadmap.
- NVIDIA PhysicsNeMo and Physics ML Pilots — dataset pipelines, mesh and geometry preprocessing,
  surrogate model development, neural operators, graph neural networks, training, baseline
  comparison, error analysis, inference benchmarking, out-of-distribution testing.
- Production Physics AI Implementation — model serving, APIs, Docker, CUDA/GPU deployment, cloud
  infrastructure, Kubernetes, distributed inference, model pipelines, observability, integration.
- AI-Native Engineering Software — bespoke engineering web applications, engineering copilots,
  Claude integrations, MCP servers, natural-language interfaces around trusted tools,
  human-in-the-loop workflows.
- Scientific Visualization — interactive 2D and 3D engineering interfaces, dashboards, automated
  engineering reports.
- GPU / Cloud / Kubernetes Infrastructure — the operational layer that makes Physics AI usable.

## Target Customers

- Engineering companies performing substantial simulation, modeling, analysis, or computational design
- Industrial R&D teams
- Simulation and CAE teams
- Engineering consultancies
- Scientific and engineering software companies
- Simulation software companies
- Technical and simulation-heavy startups
- AI companies entering industrial, scientific, and engineering markets

## Typical Buyers

CTOs, technical founders, VPs of Engineering, heads of engineering, heads of R&D, R&D directors,
heads of simulation, CAE leads, computational engineering leads, scientific computing leads,
machine learning leads, AI engineering leads, digital engineering leads, innovation leads.

## Relevant Industries

Aerospace, automotive, energy, renewable energy, oil and gas, industrial equipment, manufacturing,
robotics, thermal engineering, fluid systems, electronics cooling, semiconductor engineering,
computational engineering, materials, climate and environmental modeling, scientific computing,
engineering software, simulation software, CAE, digital engineering, industrial R&D.

## Technologies

NVIDIA PhysicsNeMo, PyTorch, CUDA, GPUs, Docker, Kubernetes, cloud infrastructure, neural
operators, graph neural networks, MeshGraphNet, DoMINO, FNO, Transolver, surrogate modeling,
scientific machine learning, Claude, MCP, scientific visualization, APIs, full-stack web software.

## Positioning Notes

- Physics AI is the category; NVIDIA PhysicsNeMo is a technology specialization.
- TecunTecs builds with NVIDIA PhysicsNeMo and is NOT affiliated with, certified by, or endorsed by NVIDIA.
- TecunTecs does not replace engineers, physicists, or simulation specialists.
- Surrogate models accelerate specific repeated workflows; they are not universal solver replacements.
- Validation precedes production reliance. Not every simulation problem needs machine learning.
- Language models improve interfaces and workflows; they are not trusted to invent physics.

## Primary Conversion Action

Book a Demo — https://tecuntecs.com/book-demo (no account required)

## Website Pages

- [Home](https://tecuntecs.com/): Physics AI engineering overview, services, ICP, implementation stack, process.
- [Services](https://tecuntecs.com/services): Detailed service architecture, inputs, outputs, and success criteria.
- [Physics AI](https://tecuntecs.com/physics-ai): Physics AI and Physics ML explained, NVIDIA PhysicsNeMo, method selection, FAQ.
- [About](https://tecuntecs.com/about): Company positioning, principles, founder-led model.
- [Book Demo](https://tecuntecs.com/book-demo): Request a technical conversation.
- [Insights](https://tecuntecs.com/insights): Planned technical writing topics.