An enterprise data and AI modernisation platform that builds trusted data foundations, deploys AI agents across workflows, and automates business processes through contextual intelligence.
Faster time-to-hire
An enterprise data and AI modernisation platform that builds trusted data foundations, deploys AI agents across workflow…
Improvement in DEI metrics
An enterprise data and AI modernisation platform that builds trusted data foundations, deploys AI agents across workflow…
Reduction in attrition
An enterprise data and AI modernisation platform that builds trusted data foundations, deploys AI agents across workflow…
Reknew AI helps enterprises build a modern, trusted data foundation for scalable AI adoption. Using proprietary Context Engineering™, the platform aligns data with real business context — then provides accelerators to rapidly deploy AI agents, automate enterprise processes, and integrate AI with existing systems. It supports data modernisation with semantic layers, knowledge graphs, and vector stores.
We validated every challenge before writing production code. The right column shows the pain points we tackled head-on and how we approached each one.
Built an SAP BAPI adapter using RFC calls via the PyRFC library, exposing a clean REST interface to the AI layer.
Every AI decision is logged with the prompt, model version, and output score, stored immutably in PostgreSQL for audit trails.
The instinct on complex projects is to rebuild everything from scratch. We pushed back. A full rewrite often means months of regressions while engineering rebuilds features that were already working.
We mapped the existing workflow against actual usage. The result was clear: a small set of features accounted for the majority of user time. We rebuilt the core, shipped fast, and extended outward.
On the technical side, we made clear decisions early and held them. The right column shows what we chose, and why.
Custom Context Engineering™ — built for this product's exact needs and data model.
Generic SaaS tool that would require heavy workarounds and compromise the user experience.
Custom AI Agent Accelerators — built for this product's exact needs and data model.
Generic SaaS tool that would require heavy workarounds and compromise the user experience.
Custom Enterprise Process Automation — built for this product's exact needs and data model.
Generic SaaS tool that would require heavy workarounds and compromise the user experience.
Custom Data Modernisation — built for this product's exact needs and data model.
Generic SaaS tool that would require heavy workarounds and compromise the user experience.
Every feature was scoped and delivered with a focus on speed, reliability, and getting out of the user's way.
Proprietary methodology that aligns enterprise data with real business context to make AI outputs accurate, relevant, and trustworthy.
Pre-built accelerators to quickly deploy AI agents across business workflows, cutting time-to-value significantly.
Automates enterprise processes by integrating AI with existing systems, reducing manual effort across operations.
Supports data modernisation with semantic layers, knowledge graphs, and vector stores for a future-ready data foundation.
We benchmark before we touch anything. Every metric was logged before we wrote a line of production code.
We ship fast. Talk to us about your product idea and we'll tell you exactly how we'd approach it.