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ARYAVEERTECHNOLOGIES

Projects

Products in prototype, a proof of concept, planned research and delivered client R&D. Every project shows its real status: Prototype, Proof of concept, Client R&D (delivered), Planned or Research.

All projects

Products3

  • Prototype01 / 07

    AegisCode

    AI-Assisted Software Engineering

    Private AI software-engineering system for understanding codebases, investigating bugs and supporting engineering workflows. Current focus: C/C++ code intelligence and bug detection.

  • Prototype02 / 07

    AI Engineering & Simulation

    AI-Assisted Engineering

    An AI layer around established simulation tools such as ANSYS and CalculiX. It does not replace solvers or engineering judgement.

  • Prototype / platform direction03 / 07

    Private AI Workstation

    Integrated computing platform

    Hardware + OS/Firmware + Local AI + Engineering Applications. Long-term direction: a secure, deployable AI appliance for sensitive engineering and enterprise workloads.

Client R&D2

  • Client R&D (delivered)04 / 07

    Task-Aware Quantization (TAQ)

    Aviation deep research

    Quantized and fine-tuned 27B–35B dense models for deep research over 1M+ pages of public aviation accident and incident reports, on a single 16 GB VRAM deployment.

    An aviation R&D client · December 2025

  • Client R&D (delivered)05 / 07

    Synthetic Data for Mechanical Vibrations

    Industrial computer vision

    100,000 synthetic 5-second structural-vibration videos generated with physics-based Python finite element analysis, structured for computer-vision models.

    An industrial reliability client · April 2026

Proof of Concept1

  • Proof of concept06 / 07

    3D-Printer Vibration Analysis

    AI-Assisted Engineering case study

    Local AI reasoning plus deterministic engineering computation: a 62-part desktop 3D printer analysed for its first 10 natural vibration modes, with validation status reported in full.

Research1

  • Planned / Research07 / 07

    Advanced AI Applications

    Planned applications and aerospace & defence research

    Planned AI applications and aerospace & defence research directions that extend the A2E approach. Nothing here is presented as built.

Development roadmap

From prototypes to validated, deployable deep-tech products.
  1. In progress

    2026Prototype

    • AegisCode
    • AI Engineering
    • Private AI Workstation
    • Engineering proofs of concept
  2. Planned

    2027Validate

    • MVPs
    • Technical validation
    • Workflow integrations
    • Early pilots
  3. Planned

    2027–2028Productise

    • Enterprise deployment
    • Licensing
    • Partnerships
    • Integrated appliances
  4. Planned

    Long termScale

    • Custom AI hardware
    • Proprietary domain models
    • Broader A2E applications

The roadmap deliberately separates R&D, validation and productisation to avoid overstating current maturity.

Interested in a pilot or technical collaboration?

We are open to pilot partners. Tell us about the engineering problem you are working on.

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