🤝 Research area

Innovation Programs & Partnerships

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

Collaborate with us
An innovation lab is only as strong as its collaborations. Hackules has worked with government agencies, NGOs, universities and enterprises in Bangladesh and beyond, and that experience shapes how we partner: a clear problem statement, a shared evaluation, a pilot in the field and an honest decision about what to scale. We also invest in capacity building so that the people closest to the problem end up owning the solution.

What we work on

🎓

Joint Research Projects

Co-designed research with universities, agencies and companies, from problem framing to publication or deployment.

🚀

Pilots & Proofs of Concept

Time-boxed pilots that test an AI idea with real users and real data before any larger commitment.

🧭

AI Readiness & Strategy

Data audits, use-case discovery and roadmaps for leadership teams planning their first AI investments.

🧑‍🏫

Capacity Building

Workshops and hands-on training so partner teams can operate, evaluate and extend the systems we build together.

🗂️

Data Partnerships

Responsible data-sharing agreements that let institutions contribute to and benefit from Bangla AI research.

🛠️

Long-Term Support

Monitoring, model updates and advisory support for systems that have left the pilot stage.

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 Innovation Programs & Partnerships?

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.

Talk to the lab

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

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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