AI & DATA ENGINEERING CONSULTANCY — REMOTE, WORLDWIDE
Nitula Tech is a specialist consultancy covering the full stack AI actually requires — GenAI, agentic systems, prompt engineering, ML engineering, MLOps, data science and data engineering — under one roof, so nothing gets lost in the handoff between teams.
The stack an engagement can span — start anywhere, or hand us the whole line.
WHY A SPECIALIST
Most consultancies treat AI as one more line item next to cloud migration and helpdesk support. Nitula Tech doesn't do general IT — every engagement sits somewhere on the line between a prompt and a production system: choosing a model, engineering the pipeline around it, or keeping it reliable once it's live.
That narrower scope is deliberate. A practice that only works in this stack sees the same failure modes often enough to fix them fast rather than learn them on your budget — a RAG pipeline with no evaluation harness, an agent with no guardrails, a feature store with no lineage, a model that quietly drifted three weeks ago and nobody noticed.
SERVICES
Applying large language and generative models to real products — retrieval-augmented generation, evaluation harnesses, and knowing when a foundation model is the wrong tool.
Multi-step, tool-using agents with the guardrails, observability and fallback paths that keep autonomy from turning into risk.
Prompts treated as versioned, tested artifacts rather than one-off strings — structured templates, variable slots, and regression suites.
Turning a notebook model into a served, testable, reproducible system — training pipelines, feature stores, and model registries.
CI/CD for models — automated retraining, drift monitoring, rollback plans, and the observability to know when a model has quietly gone stale.
From exploratory analysis to causal and predictive modelling — the work that decides whether a model is worth building at all.
The pipelines, warehouses and data contracts that every discipline above actually depends on.
HOW ENGAGEMENTS START
A 30-minute call to scope the problem, sanity-check the architecture, and be honest about whether AI is even the right tool. Booked directly on the calendar.
A bounded first build — a RAG prototype, a pipeline audit, an agent proof-of-concept — with a clear deliverable and timeline before anything bigger is on the table.
For teams that want continued ML engineering or MLOps support, engagements continue on a retainer or embedded basis, scoped a quarter at a time.
WORKING WORLDWIDE
Nitula Tech works with clients across North America, Europe, and Asia-Pacific. Every engagement starts by fixing an overlap window for live calls and a async-first pattern — written specs, recorded walkthroughs, and clear handoff notes — for everything else, so distance isn't the bottleneck.
Book a 30-minute call, or write in directly — either way you'll hear back from the person who'd actually do the work.