Focused on Data & AI.
Built to deliver.
We help System Integrators and SMEs build and deliver Data & AI capability — through specialist services, embedded squads, and expert talent.
Two types of clients.
One standard of delivery.
Scale your delivery without scaling headcount.
SIs need specialist Data & AI capacity that plugs into active client programmes — quickly, cleanly, and without the overhead of hiring. We provide embedded engineers, data scientists, and AI specialists who work to your delivery standards.
- Specialist capacity for active client programmes
- Data engineering, ML, GenAI, MLOps
- Rapid mobilisation — typically under 2 weeks
- Works to your delivery standards and client SLAs
Data and AI built for where you actually are.
Mid-market companies don't need enterprise-scale complexity. They need focused Data & AI capability that solves the right problem, ships fast, and builds internal confidence. We scope, build, and transfer.
- Scoped engagements with clear outcomes
- Data platforms, AI automation, analytics
- Talent to grow your in-house capability
- No bloated retainers — outcome-based delivery
Data & AI services.
Plus the talent to sustain them.
Services that build and deliver. Talent that embeds and grows.
Data Engineering
Pipelines, lakehouses, and the data foundation your AI depends on. Built on Databricks, Azure, AWS, or GCP.
Applied AI & ML
ML models, GenAI applications, and document intelligence — designed for production, not proof-of-concept.
Analytics & BI
Governed analytics and decision tooling built around the decisions that actually matter to your business.
MLOps & AI Operations
Monitoring, retraining, governance — the operating model that keeps production AI reliable and auditable.
Data & AI Talent
Permanent and contract placement of data engineers, ML engineers, data scientists, and AI architects.
Embedded Squads
Dedicated Data & AI teams integrated into your delivery structure. One squad, one outcome, full accountability.
Delivered.
In production.
Unity Catalog + MLflow operations, inside SI delivery
IntelStack engineers embedded under partner brand on a complex Databricks engagement, taking ownership of the Unity Catalog rollout and MLflow production registry while the partner led client engagement.
Salesforce CRM modernisation across the lending lifecycle
Amplifi Capital is a UK specialist lender to underserved segments. As it scales, it is modernising its Salesforce CRM to unify visibility across sales, credit, and collections — improving lifecycle data flow from origination to collections.
Explainable AI credit-risk modelling in production
A fintech lending platform needed faster, defensible credit decisions. IntelStack built ML models reading income stability, repayment history, and alternate credit signals, layered SHAP-based explainability over every approval and rejection, and wired portfolio-risk dashboards — real-time, transparent decisioning aligned to regulatory expectations on Databricks.
ESG savings & investment platform engineering
Shoal, a fintech under Standard Chartered's SC Ventures, set out to build an ESG-led consumer banking platform. IntelStack contributed the savings module, then was appointed core product-engineering partner for the investment module — through to a clean handover on Shoal's acquisition.
From the work.
Ready to build something
that actually works?
Whether you need capacity, talent, or a team to own the outcome — let's talk.