Engineering the Next Generation of Software for Ambitious Teams

We architect and ship AI/ML systems, distributed infrastructure, and full-stack platforms — from MVP to scale.

3
Projects in production
150k+
Monthly conversations
6 wks
Avg. MVP to production
Book a free 30-min call See our work
Engineering Excellence For
Enterprise
Startups
Scale-ups
Real Work

Proven Systems in Production

From early architecture to live deployment — a selection of systems we've designed, built, and own end-to-end.

Lipika AI

Multi-provider AI platform — backend engineering

  • › LangGraph agentic chat across 4 LLM providers with per-model credit metering
  • › Billing engine: subscription plans, per-seat workspaces, SSLCommerz payments
  • › Async job pipelines for image gen, video gen, and 30-min deep research — Redis, no Celery
  • › Kubernetes on GCP with auto-scaling; SSE streaming with LangFuse + Sentry observability

Headline metric

MVP in 6 weeks · 4 providers unified · thousands of daily conversations

PythonFastAPILangGraphPostgreSQLRedisGCP
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BanglaTTS

Low-latency Bangla speech synthesis

  • › Custom fine-tuned LLM generates discrete audio tokens — same paradigm as modern commercial TTS
  • › SNAC 24kHz neural codec decodes tokens directly to waveform, no mel-spectrogram stage
  • › Two-stage adaptive chunking delivers first audio in 200ms; Bengali text normalisation pipeline

Headline metric

200ms first-audio latency · 24kHz output

PyTorchvLLMSNACFastAPI
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Industrial E-Commerce Platform

B2B commerce for an industrial distributor

  • › Three services: FastAPI backend, customer storefront, admin portal — independently deployed
  • › Dynamic attribute inheritance: specs defined per catalog level, cascade down, validated at write
  • › PostgreSQL TSVECTOR indexes JSONB spec values — 'M12 stainless' matches by spec content, not just name
  • › Read/write DB split, Redis caching, S3 media, full audit trail on every mutation

Headline metric

5-level hierarchy · spec-level full-text search

PythonFastAPINext.js 16PostgreSQLRedisS3
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Core Capabilities

We Build So You Can Grow

We take complex engineering problems off your plate — AI/ML systems, distributed infrastructure, full-stack platforms — so you can focus on what matters.

Custom Software Development

Your product, engineered end-to-end — web, mobile, or enterprise platform.

  • Ship full-stack apps from MVP to scale
  • Modern frameworks, production-grade code
  • B2B platforms, portals, and storefronts
  • Built to hand over cleanly, not lock you in
End-to-End Delivery
React Next.js Python FastAPI PostgreSQL

AI & Machine Learning

Production AI that handles real load — not research prototypes.

  • LLM serving, fine-tuning, and inference pipelines
  • Agentic and multi-agent systems
  • NLP for low-resource languages (Bangla specialty)
  • MLOps — model deployment, monitoring, versioning
Our Core Strength
PyTorch LangGraph FastAPI GCP Supabase

Distributed Systems & Infrastructure

Infrastructure that scales — resilient, fast, and observable from day one.

  • Microservices and cloud-native architecture
  • Real-time data pipelines and event streaming
  • High-throughput API design
  • Kubernetes, Redis, Docker — right-sized for your load
Built for Scale
Kubernetes Redis Kafka Docker gRPC
About Us

The Boutique Difference

Senior-only studio. No juniors, no offshoring middlemen, direct engineer access.

Senior Leadership

Founded by an AI Engineer leading the team at a YC W25–backed company — not a salesperson who hands you off.

  • ›5+ years shipping production NLP/ML
  • ›Published at EMNLP 2023 & NAACL 2025
  • ›Prior leadership in NLP and telecom-tech

Direct Engineer Access

You talk to the engineers building your system — no account managers, no PMs playing telephone.

  • ›Async-first: Slack, Linear, ClickUp, Loom
  • ›Weekly syncs over Zoom or Meet
  • ›You see the code, the commits, the decisions
  • ›Mutual NDA before scoping — always

No Juniors. No Outsourcing.

Every line of code written by senior engineers. We don't staff juniors or hand off to cheaper contractors.

  • ›Small team, deep ownership
  • ›Same engineer from start to finish
  • ›Client owns all IP — full work-for-hire terms
  • ›USD invoicing, fixed-price or retainer
Tech Stack

Tools We Work With

Production-tested across AI/ML, backend, frontend, databases, and infrastructure.

PyTorch PyTorch
TensorFlow TensorFlow
Scikit-learn Scikit-learn
Pandas Pandas
NumPy NumPy
LangChain LangChain
LlamaIndex LlamaIndex
LangGraph LangGraph
LangFuse LangFuse
OpenAI OpenAI
Anthropic Anthropic
Gemini Gemini
🤗 Hugging Face
Python Python
Rust Rust
Go Go
FastAPI FastAPI
Node.js Node.js
Django Django
Flask Flask
RabbitMQ RabbitMQ
Kafka Kafka
Celery Celery
React React
Next.js Next.js
TypeScript TypeScript
Tailwind CSS Tailwind CSS
Vue.js Vue.js
Astro Astro
PostgreSQL PostgreSQL
MySQL MySQL
MongoDB MongoDB
Redis Redis
Supabase Supabase
Qdrant Qdrant
Kubernetes Kubernetes
Docker Docker
AWS AWS
GCP GCP
DigitalOcean DigitalOcean
GitHub Actions GitHub Actions
Questions & Answers

Frequently Asked Questions

Have a question not answered here? Reach out to us

What time zones do you work in?

Our team is based in Bangladesh (BST, UTC+6). Typical overlap with US East Coast: 07:00–10:00 ET. Typical overlap with UK/Europe: 12:00–15:00 BST / 11:00–14:00 UTC. We use async-first tools (Slack, Loom, Linear, ClickUp) so work continues between sessions, and we schedule weekly syncs at times that suit you.

How does your engagement process work?

Three steps: (1) Free 30-min scoping call to understand your goals and technical requirements. (2) Technical proposal with architecture plan, timeline, and pricing. (3) Kick off within 1 week of a signed agreement. We work in 1–2 week sprints with demos and async updates throughout. You work directly with the engineers building your solution — no account managers.

Do you sign NDAs?

Yes — we sign mutual NDAs before scoping calls. We have a standard template or are happy to use yours. All delivered work is owned by you under work-for-hire terms. IP ownership is explicit in every contract.

How do payments and contracts work?

We invoice in USD. Our contracting entity is Bangladesh-registered. We support international wire transfer and common payment methods. Engagement models: fixed-price for defined scopes, time-and-materials for exploratory work, monthly retainers for ongoing engineering support.

How long does a typical project take?

Rough benchmarks: PoC or MVP in 2–6 weeks; full platform build in 3–12 months; production AI/ML system integration in 4–10 weeks. We provide a detailed timeline in the technical proposal once we understand your requirements.

Can you work with our existing codebase or AI system?

Yes — we're comfortable stepping into existing code and infrastructure. We've audited and extended legacy systems, migrated ML pipelines to production, and optimised inference stacks for latency and cost. If scope is unclear, we start with a paid codebase audit.

What communication tools do you use?

Slack for async communication, Zoom or Google Meet for video calls, Linear, Jira, or ClickUp for project tracking, and Loom for async demos and walkthroughs. We adapt to your stack — if you have existing tooling we'll join it.

Still have questions?

Let's discuss your project in a free consultation

Schedule a Call
Let's Connect

Ready to Build Something Exceptional?

Whether you need custom web applications, distributed systems, mobile apps, or cutting-edge AI/ML solutions, we're here to turn your vision into production-ready reality.

Tell us about your project

Book a call instead · [email protected]

What to Expect

  • 1
    Understand Your Needs
    We'll discuss your project goals, timeline, and technical requirements
  • 2
    Technical Proposal
    Get a clear architecture plan, timeline estimate, and pricing
  • 3
    Start Building
    Once aligned, we kick off with rapid prototyping and iterative development
Response Time
Within 24 hours
Initial Call
100% Free
Start Time
As fast as 1 week
NDA
Signed before calls
We sign mutual NDAs before scoping calls.