Services: web development, AI, cloud and DevOps
Five domains, one team. Most real problems cross boundaries (interface, service, data, model, infrastructure), so we don't stop at any of them.
Product: From a blank page to something people use.
We shape the idea, cut it to what matters, and ship a product that is fast, clear and built to keep evolving.
- Websites: Fast, considered sites that carry a brand and convert.
- Web Applications: Complex, stateful interfaces that still feel simple.
- MVPs: The smallest real version — built on foundations that scale.
- Internal Tools: Dashboards and admin systems your team actually wants to use.
Engineering: Systems that are correct first, then fast.
Frontend to database, we design clean boundaries, predictable APIs and data models that survive the next three pivots.
- Frontend: Typed, component-driven interfaces with real performance budgets.
- Backend: Services that are observable, testable and boring in production.
- APIs: REST, GraphQL, event streams — designed as products of their own.
- Database Architecture: Schemas, indexing and migrations that hold up under load.
Intelligence: AI where it earns its place.
Retrieval, ranking and language models applied to real problems — measured, evaluated and wired into the product properly.
- AI Integrations: LLMs and models embedded into workflows with guardrails and evals.
- Search Systems: Lexical, semantic and hybrid search tuned to your domain.
- Recommendation Systems: Signals, ranking and feedback loops that improve with use.
- Automation: Pipelines that remove repetitive human work safely.
Infrastructure: The part nobody sees until it breaks.
Cloud, containers and pipelines set up so deploys are routine, costs are understood and scaling is a setting — not a project.
- Cloud: AWS, Azure or GCP — architected for the workload, not the brochure.
- Deployment: CI/CD, preview environments and safe rollbacks.
- Performance: Caching, CDNs and profiling where the milliseconds are.
- Scalability: Horizontal, vertical, or simply smarter — whichever is cheaper.
Improvement: Make what you already have better.
We step into existing codebases, find what is actually slowing you down, and fix it without stopping the business.
- Search Accuracy: Relevance tuning, synonyms, analyzers and measurable quality.
- Performance Optimization: Profiling, query plans, bundle size and render paths.
- Legacy Modernization: Incremental migration off systems that hold you back.
- Architecture Improvements: Untangling coupling so teams can move independently.
Technology
- Interface: React, Next.js, TypeScript, Tailwind, WebGL
- Services: Python, FastAPI, Node.js, Go, GraphQL
- Data: PostgreSQL, MongoDB, SQL Server, Redis, Elasticsearch
- Intelligence: LLMs, Embeddings, Vector Search, PyTorch, Evaluation
- Infrastructure: Docker, Kubernetes, AWS, Azure, GCP, Terraform