ZenteiQ
New release

Dhīr 2B and Dhīr 5B MoE are now available

Frontier AI for the physical world.

Foundation models built from scratch in India, with products that put them to work in industry: fine-tuned on enterprise data and deployed on your infrastructure, including fully offline environments.

Born at IISc BangaloreSupported by the IndiaAI Mission

Latest

Release

Dhīr 2B and Dhīr 5B MoE

Compact foundation models, pretrained from scratch, that run fully offline.

Customer story

Google Cloud: training-data pipeline 4× on GKE

GKE Inference Gateway raised our synthetic-data generation throughput 4.07×.

Pilot engagements across
  • Automotive
  • Renewable energy
  • Semiconductor
  • Advanced manufacturing
  • Aerospace
  • Technology services
  • Commerce

Dhīr: built from scratch, fine-tuned for enterprise

Dhīr models are pretrained from scratch rather than adapted from existing weights. Dhīr 2B and Dhīr 5B MoE are compact models that run offline; enterprises fine-tune them on their own data and deploy them where they run.

  1. 1Dhīr base model pretrained from scratch
  2. 2Fine-tuned on your enterprise data
  3. 3Your enterprise model deployed where you run
Dhīr models
AttributeDhīr 2BDhīr 5B MoEDhīr 9B
StatusReleasedReleasedIn development
ArchitectureDense, 2.03B parametersMixture of experts, 5.09B total, 1.79B activeLanguage and scientific
RunsOffline on laptops and edge devicesOffline on laptops and edge devicesTo be announced
  • Dhīr 2B

    Status
    Released
    Architecture
    Dense, 2.03B parameters
    Runs
    Offline on laptops and edge devices
  • Dhīr 5B MoE

    Status
    Released
    Architecture
    Mixture of experts, 5.09B total, 1.79B active
    Runs
    Offline on laptops and edge devices
  • Dhīr 9B

    Status
    In development
    Architecture
    Language and scientific
    Runs
    To be announced
Released models can be fine-tuned on enterprise data. Model detailsDiscuss an enterprise model

What you can build on Dhīr

BrahmX prepares the data, Dhīr provides the foundation models, and ZenteiQ products put them into practical workflows. Select any part to see what it does.

  • Available NokkX, ScireX, AhamX
  • In pilot KogneX
  • Coming ZiqKodeX, ZiqeX

Where it’s used

  • Automotive and mobility

    Engineering workflows, model-assisted R&D and offline deployment.

  • Energy and industrial systems

    Simulation, asset and engineering intelligence.

  • Semiconductor and advanced manufacturing

    Technical knowledge, engineering analysis and workflow acceleration.

Deployment
  • Cloud
  • Private cloud
  • On-premises
  • Fully offline

Engineering use case

Industrial engineering · partner undisclosed

Challenge

High-fidelity engineering simulations are computationally intensive when engineers need to explore many design variations and operating conditions.

Approach

ZenteiQ built a machine-learning surrogate from high-fidelity simulation data and compared its predictions with reference solver results.

Outcome

The surrogate supports rapid assessment of selected design scenarios, with high-fidelity solver results remaining the validation reference. Quantitative findings are shared through approved technical disclosures.

How enterprises engage

  1. 1

    Pilot

    Validate on a defined enterprise use case.

  2. 2

    Adapt

    Fine-tune or configure using approved enterprise data.

  3. 3

    Deploy

    Cloud, private cloud, on-premises or offline edge.

  4. 4

    Operate

    Integration, monitoring, updates and support.

Available through enterprise licensing and pilot programmes.

Start a pilot

Built in India, deployed on your terms

Engineers and scientists
65+
TPU v6e chips in production
2,048
NVIDIA H100 GPUs in production
64
Foundation models trained in India
From scratch

Born from scientific-computing research at IISc Bangalore, ZenteiQ builds models and enterprise AI systems for real engineering environments.

Sovereign by design

Independent model development, traceable data pipelines and deployment choices built around enterprise data governance and privacy.

Backing and affiliations

Research

Papers, model reports and technical writing.

Explore research

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