We help companies ship better products by integrating AI into their development process and infrastructure - not just their product.
Got an idea? A messy tech stack? Or just curious about AI?
You're in the right place.
We integrate AI into your dev process - automated pipelines, LLM-assisted code review, and intelligent documentation. Your team ships faster without adding headcount.
We build AI that answers questions using your own data - documents, databases, internal knowledge. No generic chatbot wrappers. Deployed into your existing stack using Claude and LangChain.
We design and build production-ready cloud infrastructure on AWS and GCP where required. Whether you're migrating from on-prem or scaling an existing system, we deliver with CI/CD and cost controls built in.
Full-stack web applications built to scale. Clean architecture, real test coverage, and APIs your team can maintain and grow.
Cross-platform iOS and Android apps built with React Native and Flutter. One codebase, two platforms - from MVP to App Store without a separate native team.
We build and run our own AI-powered products - TrendDesk, PitchDesk, and more. What we learn building for ourselves, we bring to your problems.
We start with a short discovery - your stack, your constraints, your goal. No solution before we understand the problem.
We start with a short discovery - your stack, your constraints, your goal. No solution before we understand the problem.
Work is broken into clear milestones with deliverables. You pay per milestone, not upfront. You always know what's coming next.
Work is broken into clear milestones with deliverables. You pay per milestone, not upfront. You always know what's coming next.
You work with the people building, not account managers. One point of contact, no handoffs.
You work with the people building, not account managers. One point of contact, no handoffs.
We look for where AI reduces build time or improves the product - not as a gimmick, but where it genuinely fits.
We look for where AI reduces build time or improves the product - not as a gimmick, but where it genuinely fits.
Practical thoughts on AI, product building, and technology -
based on real problems, real solutions, and what actually works.
Organizations are moving beyond AI that simply answers questions. The future lies in AI systems that can reason, collaborate, access enterprise data, and take actions across business applications.
Multi-AZ with standby in OpenSearch improves resilience but introduces complexity in real-world scenarios.
Every project starts with a problem and ends with a result.
These case studies show how we design, build, and scale with purpose. And
where AI actually made a difference.
We migrated a client's entire on-premise data center across the USA and China to AWS and Alibaba Cloud - with minimal downtime, full data integrity, and Kubernetes at the core
Our client was running ageing on-premise infrastructure across two regions - USA and China. The problems were compounding:
They needed to move to cloud. The catch: operations had to keep running during migration.
We built an AI development workflow using MCP and RAG that connects Claude to a private knowledge base: codebase, documentation, business processes, so developers get answers grounded in real context, not hallucinations
Most teams that try AI coding assistants hit the same wall quickly.
The tools are impressive on generic tasks - but the moment a developer asks something specific to their system, the answers fall apart. The AI doesn't know their architecture, their naming conventions, their business rules, or why decisions were made three years ago.
Thinking About AI?
Not sure where AI fits in?
Let's talk it through and build
something that makes sense.