AI-Native Technology Consultancy · London, UK

We build the AI, data and software backbone of ambitious businesses.

ITHUB combines deep expertise in artificial intelligence and large language models with enterprise data architecture, full-stack engineering and core banking systems — turning complex technology problems into shipped, scalable products.

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🤖 AI & LLM 📊 Data Architecture 💻 Full-Stack 🏦 Core Banking

20+ years of consulting engagements across organisations including

Lloyds Banking Group
Informa
BBC
RSA Insurance Group
Virgin Media
BGL Group
Charles Taylor Plc
Capita
O2
Centrica
British Gas
Casio
Packard Bell
OnMedica

Delivered as an independent BI/data consultant, not as ITHUB client engagements.

10+ yrs

Enterprise data & BI delivery

1,000+

KPIs consolidated in a single global analytics platform

35%

Support escalation reduction from an LLM-powered insights engine

220

Countries covered by platforms our team has architected
What we do

Four disciplines. One accountable team.

Most vendors specialise in one layer of the stack. ITHUB's team has shipped production AI systems, enterprise data platforms, customer-facing software and core banking upgrades — so your project doesn't get lost between agencies.

🤖

AI & LLM Solutions

Agentic AI, RAG knowledge assistants, LLM fine-tuning and evaluation frameworks built for enterprise reliability.

📊

Data & Analytics Architecture

Cloud data warehouses, dimensional modelling and BI platforms on AWS and GCP.

💻

Full-Stack Engineering

React, Angular, Node.js and .NET applications backed by robust APIs and CI/CD.

🏦

Core Banking & FinTech

Finacle customisation, core banking migrations and financial reporting systems.

Featured capability

AI and LLMs are at the core of how we build.

Every engagement is evaluated for where generative AI and agentic automation can compress timelines, cut costs or unlock a product that wasn't feasible before. We don't bolt AI onto legacy delivery — we design for it from day one.

🔗

Agentic & Multi-Agent Systems

LangChain / LangGraph orchestration, multi-agent pipelines and MCP-based tool integration for real enterprise workflows.

📚

RAG & Knowledge Grounding

Retrieval-augmented generation, vector databases and evaluation/grounding frameworks that keep outputs accurate and auditable.

⚙️

LLM Fine-Tuning & MLOps

QLoRA/SFT fine-tuning, Dockerised deployments, CI/CD and drift monitoring across AWS and GCP.

See our AI & LLM work →
Case in point

Built in-house: an AI-powered lead generation platform

Our own team is currently designing ITHUB's AI-driven lead generation and customer outreach platform — the same rigour of stakeholder discovery, data modelling and cloud architecture we bring to every client engagement.

The challenge

Define an end-to-end analytics and outreach platform that can identify ideal customer profiles, qualify leads and automate outreach — integrating internal and third-party data sources.

The approach

Stakeholder workshops to define objectives and success metrics, conceptual/logical/physical data models for lead discovery and qualification, and a target-state cloud architecture evaluated across AWS and GCP.

"The team didn't just deliver a data model — they understood the business problem well enough to challenge our assumptions about who our ideal customer actually was."

— Placeholder testimonial. Replace with a client quote once your first engagements are live.

Have a data, AI or software problem worth solving properly?

Tell us where you're stuck. We'll tell you honestly whether AI, better data architecture, or just better engineering is the fix.

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