[ AI Product Engineering ]

AI Products Built for the Real World

We design and build AI-powered products from the ground up — LLM applications, multi-agent systems, RAG pipelines, computer vision and NLP. Not proof-of-concepts that look good in demos. Production systems that handle real users, real data and real edge cases. Our own products (Inscrape, Nirvana, SwarmScope) are the proof.

[ What’s included ]

01

LLM Application Development

Custom applications built on top of large language models — chatbots, copilots, content generation systems, document analysis tools. Prompt engineering, fine-tuning and guardrails included.

02

Multi-Agent Systems

Architectures where specialised AI agents collaborate to handle complex workflows. We built SwarmScope with 5,000+ concurrent agents — we know how to make multi-agent systems work at scale.

03

RAG Pipelines

Retrieval-Augmented Generation systems that ground AI responses in your data. Vector databases, embedding strategies, chunk optimisation and hybrid search — built for accuracy.

04

Production MLOps

Model deployment, monitoring, versioning and retraining pipelines. We don't just build models — we build the infrastructure that keeps them performing in production.

[ How it goes ]

  1. Problem FramingWe define the AI problem clearly — what data you have, what outcome you need, what constraints exist. No AI for AI's sake.
  2. Rapid PrototypeA working prototype in days, not months. We validate the approach with real data before investing in production engineering.
  3. Production BuildThe validated approach gets hardened — error handling, edge cases, scalability, monitoring. Built to handle real-world traffic.
  4. Deploy & MonitorDeployed with full observability — latency tracking, accuracy monitoring, cost controls. We don't ship and forget.
3AI products shipped to production
5,000+Concurrent agents in SwarmScope
Dual-EngineRAG+HAG system built (HeuriSight)
< 4 weeksTypical prototype-to-production
PythonPyTorchLangChainOpenAI APIAnthropic Claude APIPineconeFastAPIDocker

[ Also from the studio ]

  1. 01

    MVP & Rapid Prototyping

    Service
  2. 02

    Full-Stack Development

    Service
  3. 03

    Cybersecurity & Auditing

    Service
  4. 04

    Blockchain & Web3

    Service
  5. 05

    Data Engineering & ML

    Service

[ Your turn ]

Have a hard problem?
Let’s build the answer.