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ARYAVEERTECHNOLOGIES

About Aryaveer Technologies

We are a product-engineering company that builds end-to-end products and customised solutions at the intersection of Mechanical, Electronics, Software and Financial Engineering, leveraging custom AI models. We design and make all of our products and solutions in India.

Aryaveer develops products across the full technology stack for technically intensive and mission-critical environments, combining engineering expertise, purpose-built computing, optimised system software, custom AI models, application software and integration. We design air-gapped solutions and systems for on-premise deployment, including on-premise Small Language Models (SLMs), so that sensitive engineering data can stay within customer-controlled infrastructure. Our initial focus is aerospace, defence, heavy engineering and advanced manufacturing.

Our vision

Our vision is to enable engineers and technically intensive organisations to understand, analyse and solve complex technical problems faster — with AI that works inside real engineering workflows, while they keep control over sensitive data. We design and make our products and solutions in India.

What we build

Five connected layers, from purpose-built hardware to integration with the tools engineers already use.
  1. L01

    Hardware & Electronics

    Purpose-built computing platforms, electronics and engineering hardware.

  2. L02

    Optimised OS & Firmware

    Hardware-aware system software, firmware and deployment optimisation.

  3. L03

    Custom AI Models

    Domain-specific models, model optimisation and on-premise Small Language Models (SLMs).

  4. L04

    Application Software

    Engineering applications, analytics, AI-assisted workflows and decision support.

  5. L05

    System Integration

    Integration with engineering tools, enterprise systems and operational workflows.

Not every layer is commercially mature today; the stack represents our product architecture and development direction.

AI-Assisted Engineering (A2E)

Principle: AI augments engineering workflows and domain expertise.

  1. Engineering Domain

    Problems, physics, workflows, constraints.

  2. AI / ML

    Reasoning, specialised models, analytics, automation.

  3. Deterministic Tools

    Solvers, compilers, tests, rules, verification.

  4. Applications

    Engineer-facing software, reports, decision support.

Human judgement in the loopEngineering evidence · established tools · human judgement

In A2E, AI is a capability layer inside a larger engineering product, not the product by itself and not a standalone chatbot.

AI assists with reasoning, analysis and automation, while deterministic tools such as solvers, compilers and tests produce and verify the results. Engineering evidence, established tools and human judgement stay in the loop, and engineers make the decisions.

Private & secure computing

For environments where sensitive engineering and operational data should not leave the organisation. These are design goals that guide how we build our systems; they are not guarantees, and the protection any system provides depends on how it is deployed and operated.
  • Design goal

    Air-gapped solutions

    Designed for mission-critical environments, so that workloads can operate without depending on public cloud connectivity.

  • Design goal

    On-premise SLMs

    Specialised Small Language Models designed to run within customer-controlled infrastructure for focused tasks.

  • Design goal

    Defined deployment boundary

    Designed to keep sensitive source code, engineering data and technical documents inside a defined deployment boundary.

  • Design goal

    Domain specialisation

    Models adapted to specific engineering, software, research and operational workflows, rather than relying on general-purpose behaviour alone.

  • Design goal

    Deployable compute

    The Private AI Workstation today, and a future appliance architecture, as a path from software prototypes to integrated hardware deployments.

How our approach is different

  1. End-to-end

    We aim to control the stack from computing hardware and firmware through AI models, applications and integration.

  2. Engineering-first AI

    AI is combined with deterministic engineering tools, domain knowledge, evidence and human judgement rather than treated as a standalone chatbot.

  3. Private intelligence

    Air-gapped and on-premise deployment designed to enable specialised AI for sensitive engineering and mission-critical environments.

Industries

Our initial focus is on sectors where security, engineering depth and deployability matter.

  • Aerospace

    Engineering software, simulation and analysis workflows.

  • Defence

    Private AI and sensitive-data engineering environments.

  • Heavy Engineering

    Software reliability, simulation and industrial analysis.

  • Advanced Manufacturing

    AI-assisted engineering and process intelligence.

How we work with partners

Potential models: these describe how we expect to work with partners as our products mature. They are not all available today.

Potential models

  • 01Software licensing
  • 02Private / on-premise deployment
  • 03Purpose-built AI workstations
  • 04Hardware + software appliances
  • 05Productised engineering solutions

Current stage

Active prototype development, with completed client R&D engagements, working towards validated products.

Open to pilot partners
See our projects and client R&DContact Us