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We engineer AI systems, web platforms, ML pipelines, and business software for production.

Somokolon Labs takes products from first sketch to a system real users rely on: designed, built, deployed, and monitored by one senior team.

Who we are

Somokolon Labs is a senior-led studio in Dhaka. We take ideas from a whiteboard to software people rely on: AI that is measured, not guessed, web apps that stay fast, and infrastructure you can actually see into.

SA

Shahriar Ahmed Seam

Founder, Somokolon Labs

Products shipped, every one with a live demo
20
Technologies across our production stack
39
Practice areas, from applied AI to infrastructure
4

What we do

Four practices. One team that ships.

From the model to the interface to the infrastructure underneath, the same people carry the work from the first call to production.

All services

AI & LLM Engineering

  • RAG & LLM Applications

    Retrieval-augmented systems with hybrid search, reranking, and evaluation — grounded answers over your own data.

  • Agentic Workflows

    Multi-step agents that plan, use tools, and act safely, with human-in-the-loop where it matters.

  • Model Fine-Tuning

    Task-specialized open models (LoRA/QLoRA) with reproducible evaluation against real baselines.

  • On-Device & Edge AI

    Quantization and ONNX conversion for privacy-preserving, offline-first inference on constrained devices.

Web & Full-Stack Development

  • Custom Web Applications

    Tailored products built from the ground up around your workflow, not a template.

  • Redesign & Modernization

    Rework dated interfaces and legacy stacks into fast, maintainable, responsive apps.

  • APIs & Integrations

    REST and GraphQL APIs, third-party integrations, and clean service boundaries.

  • Business Systems

    Practical internal tools and POS/ERP-style systems for real operational needs.

Cloud & MLOps

  • Deployment & CI/CD

    Automated build-test-deploy pipelines with GitHub Actions and container registries.

  • Model Serving & MLOps

    Scalable inference serving, drift monitoring, and retrain pipelines for ML in production.

  • Observability

    Metrics, logging, and tracing so you can see how systems behave under real load.

  • Event-Driven Systems

    Decoupled, fault-tolerant services with queues and message streams that scale independently.

Quality Assurance & System Design

  • Automated Testing

    Unit, integration, and end-to-end test suites wired into your CI pipeline.

  • AI/LLM Evaluation

    Systematic evaluation harnesses for RAG and LLM systems — faithfulness, relevance, and cost.

  • Architecture Review

    Design reviews focused on scalability, fault tolerance, and maintainability.

  • Performance & Load

    Profiling and load testing to find bottlenecks before your users do.

Selected work

Products we designed, built, and run.

Every screenshot is the real interface, captured from the running product. Open any of them and try it yourself.

Industries

Industries we've built for

Every sector here has a working product behind it that you can open and try.

  • Retail

    Point of sale that keeps trading when the network drops, and stock intelligence across locations.

    Built

  • Banking & fintech

    Double-entry ledgers with row-level locking, so concurrent transfers can't corrupt a balance.

    Built

  • Healthcare & fitness

    Telemedicine and encrypted records built for clinics here, plus on-device movement analysis.

    Built

  • Logistics

    Live vehicle tracking, geofencing in the database, and optimised routes for the day's stops.

    Built

  • Agriculture

    Crop disease detection that runs in the browser on a phone, with no signal needed in the field.

    Built

  • Enterprise operations

    HR, CRM, inventory, finance, and projects in one system, with AI that runs on your own hardware.

    Built

  • Smart cities

    Crowd and traffic counting from ordinary camera feeds, on CPU hardware rather than GPUs.

    Built

  • AI & engineering teams

    Model gateways, agent pipelines, and codebase search for teams putting LLMs into their products.

    Built

  • Is your industry here?

    If it isn't yet, tell us about the problem. That's how most of these started.

    Let's talk

How we work

From first call to running system.

Four stages, one team, and working software at every checkpoint, so you always know where the project stands.

01Step 1 of 4

Discovery

We start with your problem and constraints — what success looks like, and what it will take to get there.

02Step 2 of 4

Plan & Estimate

A clear scope, milestones, and a realistic timeline, so you know what you're getting and when.

03Step 3 of 4

Build & Deploy

Iterative delivery with working software at each step — containerized and shipped, not left in a notebook.

04Step 4 of 4

Support & Iterate

Once it's live, we monitor, maintain, and improve it under real-world use.

Book a discovery call

Tech ecosystem

The stack behind what we ship.

39 tools in production across our products today. We pick them for the system in front of us, not for the trend.

  • PyTorch
  • Hugging Face Transformers
  • PEFT / LoRA
  • LangGraph
  • Ollama
  • ONNX Runtime
  • scikit-learn
  • OpenCV

Model training, fine-tuning, and inference — from transformers to diffusion and on-device CNNs.

Let's talk

Have a problem worth solving?

Tell us what you're building. We'll help you scope it, build it, and ship it.