🏛️ Research area

Sovereign AI Infrastructure

On-shore, private infrastructure so institutions can run their own models on their own data.

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Public institutions and regulated organisations cannot send their data to someone else's API. Our infrastructure group designs the on-shore alternative: a national inference pipeline blueprint, private-cloud and on-premise deployment patterns, model monitoring, access control and audit trails. The goal is simple: your models, your data, your servers, with the operating cost low enough to sustain.

What we work on

🗺️

National Inference Pipeline

An on-shore infrastructure blueprint for public institutions to serve AI models at national scale.

🔒

On-Premise & Private Cloud

Deployment on your own GPU servers or a private cloud region so sensitive data never leaves your control.

⚙️

MLOps & Model Monitoring

Versioning, evaluation in production, drift detection and cost tracking so models keep performing after launch.

📋

Data Governance & Privacy

Access policies, audit logging, data residency and minimisation designed in from the first day.

🖥️

Compute Strategy

Right-sizing hardware and cloud spend for training and inference in budget-constrained environments.

🔗

Open Standards & Interoperability

APIs and formats that keep institutions free to swap models and vendors later.

How we work

Frame

Problem statement, data audit, evaluation plan.

Research

Experiments, training and benchmarks against baselines.

Pilot

A time-boxed prototype with real users and real data.

Transfer

Deployment on your infrastructure, monitoring and training.

Interested in Sovereign AI Infrastructure?

Tell us about your research question, your data or the people you serve, and the lab will get back to you within one business day.

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Other research areas

01

Bangla AI

Language, speech and multimodal models built from the ground up for Bangla and other low-resource settings.

We train our own models rather than only fine-tuning someone else's. Our flagship Sangbad-SLM, a 0.8B-parameter Bangla news language model, is built on a corpus we collected and cleaned ourselves, and it runs on modest hardware.

  • Sangbad-SLM & Bangla Language Models
  • Bangla Corpus Engine
  • Low-Resource Training Methods
  • Speech & Dialect Research
  • Sovereign Benchmarks
  • Efficient Inference
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02

Applied AI Research

Turning research into working systems for documents, vision, data and decision-making.

The lab's applied group takes models from the bench into the field: document intelligence for Bangla and English paperwork, computer vision, forecasting and retrieval-augmented assistants, each measured against real-world data.

  • Document & Data Intelligence
  • Computer Vision
  • Predictive Modelling
  • Retrieval & Generative Systems
  • AI Evaluation & Safety
  • Experimental Prototypes
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03

Innovation Programs & Partnerships

Joint research, pilots and capacity building with government, academia, NGOs and industry.

We work best alongside partners who bring a hard problem and real data. Our programs range from short pilots and proofs of concept to multi-year joint research, with training so partner teams can carry the work forward themselves.

  • Joint Research Projects
  • Pilots & Proofs of Concept
  • AI Readiness & Strategy
  • Capacity Building
  • Data Partnerships
  • Long-Term Support
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