🔬 Research area

Applied AI Research

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

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Research only matters when it changes how an organisation works. Our applied team pairs researchers with domain partners to solve concrete problems: reading millions of scanned forms, spotting defects on a production line, forecasting demand, or answering questions over a body of institutional knowledge. Every project starts with an evaluation plan and ends with a system that is monitored, explainable and owned by the partner.

What we work on

📄

Document & Data Intelligence

OCR, extraction, classification and search across Bangla and English forms, reports, records and archives.

👁️

Computer Vision

Recognition, inspection and video analytics for public-sector, agricultural and industrial settings.

📈

Predictive Modelling

Forecasting, risk scoring and anomaly detection trained on partners' operational data.

💬

Retrieval & Generative Systems

Assistants and search built on our own or open-weight models with retrieval-augmented generation over trusted sources.

🛡️

AI Evaluation & Safety

Red-teaming, bias and robustness testing, and human evaluation protocols before anything reaches users.

🧩

Experimental Prototypes

Rapid proofs of concept that test whether an idea survives contact with real data before anyone scales it.

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 Applied AI Research?

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

Sovereign AI Infrastructure

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

Owning a model is only useful if you can run it. We research and build the inference pipelines, deployment blueprints and governance needed to operate AI on your own servers or private cloud, inside your borders.

  • National Inference Pipeline
  • On-Premise & Private Cloud
  • MLOps & Model Monitoring
  • Data Governance & Privacy
  • Compute Strategy
  • Open Standards & Interoperability
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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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