Keryx Labs designs and delivers data, AI, and intelligent automation systems for organisations navigating the next generation of enterprise technology.
Products informed by real engineering. Engineering informed by real product building. The boundary between them is intentionally narrow.
An end-to-end reference architecture for the regulated enterprise — open lakehouse, data products, governance, AI platform, decisioning and audit, engineered as one coherent system.
Agentic workflows, enterprise AI tooling, operational copilots, retrieval systems, and intelligent automation — built for production, not for demos.
Internal products, experimental systems, accelerators, and AI-native applications built inside Keryx Labs and applied to client engagements.
Low-latency streamed payments feeding cross-platform governance and lineage, policy-as-code, signed audit ledger, and a conversational AI interface across LoBs.
Conversational intelligence over a hundreds-of-thousands-strong contract estate, with citation-backed answers for procurement, legal and finance under a GxP-aligned audit trail.
Bank-wide modernisation of an on-premise data estate to a cloud-native lakehouse — cross-franchise data spine, executive data ownership, and a 30,000-colleague Data Academy serving 19m customers.
We work the way enterprise IT actually works — through your existing risk function, your existing data estate, and your existing approval gates.
We pick one decision your business actually makes — credit, claims, KYC, suitability — and define its acceptance test with your risk function before any model is built.
The architecture deploys into your environment, tenant-isolated, on open formats. Your data never leaves. Your existing IAM, lineage and observability stack are reused, not replaced.
Decisions go live with sub-150 ms p99, every output signed and replayable. Drift monitoring and HITL approval flows operational from day one.
AI is the new operational layer of the enterprise — and the systems that run it should be engineered, not assembled.
Software that decides is different in kind from software that records. The architecture, governance and operating model all have to follow.
The architecture is the product. Open lakehouse, data products and decisioning are one coherent estate — analytics and operations stop being separate worlds.
You cannot govern what you cannot trace. Lineage, tenancy and approval are first-class citizens in our designs, not paperwork bolted on after.
The future of operational software is agentic — orchestrated, observable, accountable. We build that layer for organisations that need to defend it.
Ninety minutes with our founding team. We'll walk through the architecture in your environment, with your data shape and your risk function in the room. No slideware, no follow-up sequence — just whether this is real for you.