Agentic AI·Data Platforms·Governed Production
Enterprise AI ambition has outrun the ability to operationalise it. We take agentic AI from pilot to production and from production to P&L.
Tangible outcomes, real-world transformation, powered by AI.
Select the right opportunities, build them through a reusable factory, improve them through governed operations, and run optimal managed ops.
The full journey from business use case to outcome. Identify, assess feasibility, prioritise and design for adoption. Every use case carries a value case. Nothing enters the factory without one.
Set up the platform: the common foundations every AI product shares. Then run the factory. Design, build, test and release repeatedly, not as bespoke projects.
Govern, monitor, evaluate and continuously improve AI products in production. AgentOps closes the loop between intent, agent behaviour and outcomes achieved.
Manage data and AI ops with agentic AI and lean teams. Meet SLAs and run operations without cost inflation.
LakeHouseXponent, MigrationXponent and AIXponent form a single data-to-AI backbone, so every pilot is built on infrastructure that's already production-ready.
From logistics and manufacturing to wealth and asset management, each accelerator is pre-trained on domain workflows, cutting the path from pilot to rollout from quarters to weeks.
CPG, BFSI and Manufacturing each run on different data, regulation and margins. Our solutions are tailored to those realities from day one, instead of retrofitted after the pilot.
Frontier AI tech, shipped into governed production, at enterprise scale
Advisory-led AI strategy
Scalable AI solution design
Legacy-to-modern transformation
Advanced analytics enablement
AI platform operations & support






Enterprise AIModels are not the bottleneck. The missing layer is governed context — the ontology an agent is actually allowed to reason over.
Read more
BFSIThe banks pulling ahead are not running more pilots. They are running fewer, governed, and measured against the income statement.
Read more
EconomicsHow the legacy analytics renewal cycle becomes the funding mechanism for an AI-native operating model.
Read moreTell us about the AI opportunity or business challenge you are working on, and our team will come back to you.
Start with one value-traced use case. Ship it through the factory. Run it under governance. Then do it again faster.