AI Development

AI that reaches production, not demos.

We design and build AI products, assistants and automations your users actually rely on, from first prototype to scale. Real evals, guardrails and monitoring, not a notebook that dies after the pitch.

Production AI, not prototypes LLMs and classic ML Fintech-grade security

What we build

AI capabilities, built to ship

From assistants over your own data to models that drive real decisions.

AI assistants & copilots

Retrieval-augmented assistants that answer from your own documents, data and product.

Generative AI features

LLM-powered chat, content, summarisation and search built into your product.

Machine learning models

Prediction, scoring, recommendations and forecasting tuned to your data.

AI agents & automation

Agents and workflows that take real actions across your tools, safely.

NLP & document intelligence

Extraction, classification and semantic search over messy documents at scale.

Computer vision

Detection, OCR and quality inspection from images and video streams.

How we work

From idea to AI in production

STEP 01

Discover

We pin down the use case, data and a success metric worth shipping for.

STEP 02

Prototype

A working proof on your real data in weeks, so you can feel the value early.

STEP 03

Productionize

Evals, guardrails, security and infrastructure to make it reliable at scale.

STEP 04

Monitor & improve

We watch quality, cost and drift in production and keep improving it.

Proof

AI we have shipped

Real AI products in production, not slideware.

AI Assistant

FabriceAI

A real-time assistant that answers questions from an investor’s entire body of work, built on modern LLMs.

Read the case study →

AI Legaltech

ResoX AIDA

An AI dispute advisor that turns getting legal help into a guided, self-serve experience.

Read the case study →

Why Zimozi for AI

Built to be reliable and safe

We get past the demoEvals, guardrails and monitoring so AI behaves in production, not just in the pitch.

Your data stays yoursPrivacy-first design, clear data boundaries and security built for regulated industries.

You own the IPAll code, prompts and models we build are yours, and we work under NDA from day one.

Senior engineersYou work with people who have shipped AI to real users, not juniors learning on your budget.

Tools we work with

A modern, model-agnostic AI stack

OpenAIAnthropic ClaudeLlamaLangChainVector databasesPythonPyTorchTensorFlowAWSGoogle CloudAzure

Tool and platform names belong to their respective owners and do not imply partnership or endorsement. We pick the right model and stack for your use case, budget and data.

FAQ

Questions teams ask us about AI

Yes, that is the whole point. We build a working prototype on your real data fast, then add the evals, guardrails, security and infrastructure needed to run it reliably for real users.

We are model-agnostic. We work with OpenAI, Anthropic, open models like Llama and classic ML where it fits, and we recommend the right approach for your accuracy, cost and privacy needs.

Privacy-first by design. We keep clear data boundaries, support private and self-hosted models where needed, and build to standards suitable for fintech and other regulated industries.

You do. You own all the code, prompts, fine-tunes and IP we produce, and we are happy to work under an NDA from the first conversation.

Have an AI idea? Let’s ship it.

Tell us what you’re building. We’ll come back with a clear, fixed-scope plan to get it into production.

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