RAG pipelines, AI agents, LLM integrations and ML systems that go live in 4–8 weeks. Built on OpenAI, Anthropic, open-source models and your proprietary data. Shipped by engineers who've taken AI from prototype to enterprise scale.
We build AI that integrates with your existing stack — not AI that requires you to replace it. Every system ships with evals, monitoring and a latency SLO before we hand it over.
Retrieval-Augmented Generation pipelines that answer questions from your documents, databases and APIs — accurately, with citations, and without hallucinating policy that doesn't exist.
Multi-step agents that take actions: book meetings, file tickets, run analyses, send reports. Wired to your tools (Slack, Salesforce, Notion, your internal APIs) and supervised with human-in-the-loop approval flows.
Connect your product to OpenAI, Anthropic, Llama, Mistral or Gemini — with fallback chains, cost controls and prompt versioning. Fine-tune when base models aren't good enough for your domain.
Support bots, internal assistants, sales copilots and document processors built with your brand voice, your data and guardrails that prevent the embarrassing outputs. Deployed as web, mobile or Slack app.
Structured data extraction from PDFs, invoices, medical records and images. Object detection, OCR, classification and NER pipelines — custom-trained on your data, not generic off-the-shelf models.
Model serving, continuous retraining, drift detection and cost monitoring. Your AI doesn't degrade silently after launch — we wire observability from day one so you see it before your users do.
We're model-agnostic but opinionated. These are the tools currently running inside AI systems under our maintenance — not a slide-deck list of logos we've heard of.
Most AI projects stall in "evaluation mode" for months. We run fixed sprints with a live demo at the end of each one. You never go more than two weeks without seeing working software.
Map the problem, audit your data, and define the evaluation criteria that matter. You leave with a scoped proposal and a fixed quote in 48 hours.
A working RAG pipeline or agent that answers real questions from your data. End-to-end, with an eval harness. Not a Jupyter notebook — a running system.
Production architecture, auth, integrations, streaming UI, cost controls and guardrails. Two-week sprints, demo every Friday, code in your repo from day one.
Go-live with observability wired in: cost per query, latency P99, retrieval quality, hallucination rate. Optional retainer for retraining and feature iteration.
Most AI consultancies deliver a proof-of-concept. We deliver a production system with monitoring, evals and a handover brief. Two things separate us from the slide-deck shops.
Every engagement starts with ground-truth question-answer pairs, precision/recall baselines and latency SLOs — before we choose a model or write a prompt. If we can't measure it, we don't build it. This is the thing most AI shops skip, and why their systems silently degrade six weeks after launch.
You own the code, the prompts, the fine-tuned weights and the vector store. We document the architecture so your team can maintain it without us. We also write the runbook for swapping models — because OpenAI prices and capabilities will change, and you should be able to adapt without calling us first.
One example from a larger portfolio. Case studies with NDA-protected details are available on request.
An AI-driven route planning and anomaly detection system built into the LivePin fleet management platform. The model analyses real-time telemetry, traffic patterns and historical fuel consumption to recommend optimal routes and flag driver behaviour anomalies — live for 50,000+ operators.
Real Flutter products we've designed, built and launched for clients across the US and UK.
A Flutter social super-app built for U.S. college students — feed, stories, live rooms, a roommate finder and messaging in one product.
An AI story app with a Netflix-style profile switcher — separate libraries for kids and adults, each with GPT-generated stories and AI narration.
A Flutter ESG investing app — climate-impact stories, curated sustainable portfolios and plan tracking.
A social platform with feed, stories, chat and creator profiles — designed around paid live streaming.
If something's missing, email Prakash directly — replies come back the same day, no SDR layer.
Every engagement starts with a 60-minute discovery call — Prakash or a senior AI engineer, never an SDR. You leave with a scoped proposal and a fixed quote in 48 hours.
Book a 60-min discovery call →