Five deep service lines, one delivery organisation. Innovative leads with AI engineering, agentic AI, AI/ML solutions, data engineering, and cloud engineering. End-to-end delivery on a hybrid Princeton and India model, anchored by 12 years of production AI inside tier-1 banks. Engagement models flex from advisory through outcome-based execution.
Production AI on regulated-industry foundations: strategy, agents, ML, governance.
Build, scale and embed AI across your engineering organisation and your products. End-to-end AI engineering on a hybrid Princeton and India model, drawing on 12 years of production AI shipped into tier-1 banks.
Production AI agents and agentic platforms for autonomous workflows. Custom multi-agent systems, agentic RAG, MCP servers, and the human-in-the-loop and governance frameworks regulators expect.
Predictive analytics, generative AI, NLP, computer vision, anomaly detection, recommendation, MLOps and model governance. The same engineering rigour we ship into tier-1 banks, applied to commercial use cases.
Direct-vendor talent, custom builds, and the operational delivery to support both.
Contract, contract-to-hire, and permanent placement across software, cloud, data, AI/ML, QA, DevOps, and telecom. A 4-step recruiting pipeline ensures every candidate is production-ready on day one.
Custom application development, modernisation, web and mobile, API integration, and ongoing maintenance across React, Angular, Java, .NET, Node, Python, iOS, Android, and all three major clouds.
End-to-end workforce management, vendor consolidation, MSP support, payroll and compliance. Replace a fragmented sub-vendor chain with one direct-vendor relationship.
Strategy, migration, modernisation and FinOps across AWS, Azure, GCP and Kubernetes.
The data foundation that earns the AI layer above it: pipelines, lakehouses, governance.
Match the commercial model to the shape of the work. We move between these models mid-engagement when scope changes. No contract gymnastics required.
Short, focused engagements (four to eight weeks) to identify use cases, assess feasibility, and build the roadmap. Best when the strategy is still forming and you need the diligence done before committing capital.
Embed our engineers into your existing teams to upskill them, deploy AI-assisted tooling, and accelerate first production deployments. Best when the strategy is set but internal capability is still building.
Outcome-based delivery for full platform builds, agent development, model and ML platform delivery. We own the team, the deliverables, and the SLAs. Best for defined-scope production work where speed and accountability matter.
Tell us about the work and we'll recommend the engagement model and team shape. No pitch deck, no obligation.
