One intelligence layer.
Four disciplines on top.
Nirukta builds the semantic layer beneath enterprise AI, then the systems that put it to work. Everything rests on one grounded model of what your data means.
Applied AI & data intelligence
The foundation: a knowledge graph, ontology, and reasoning layer that turn scattered systems into one model your people and agents can reason over. Grounded, explainable, and owned by you.
Knowledge graphs & GraphRAG
Retrieval that traverses a graph of your entities and rules, so answers are traceable to source — not stitched from nearby text.
Ontology & semantic modelling
A shared vocabulary for your domain: the entities, relationships, and business rules that define what your data actually means.
Reasoning & governance
Inference over rules, with lineage, access control, and explainability built in from the first commit.
Agentic systems & orchestration
Multi-agent workflows and an orchestration layer that sits above your existing tools — coordinating ServiceNow, SAP, ERP and the rest — instead of becoming one more silo beside them.
Orchestration layer
A control plane that routes work across agents and systems, with policy and guardrails at the centre.
Grounded agents
Agents that read from the meaning layer, so they act on interpreted truth rather than raw, ambiguous data.
Human-in-the-loop
Escalation, approval, and observability designed in — automation you can supervise and trust.
Domain platforms
Productized vertical systems where the stakes are highest and the data is hardest — starting with healthcare supply-chain orchestration, from procurement signal to clinical availability.
Supply-chain orchestration
A behavioural model of the network — shortage signals, supplier resilience, disruption propagation — not just a dashboard of the past.
Vertical ontologies
Domain models built until the edge cases stop surprising us, so the platform captures how your industry really works.
Reusable IP
Patterns and components that compound across engagements — you benefit from what we've already solved.
Emerging compute & architecture
Edge, probabilistic, and post-binary paradigms. Reference architectures and advisory for the systems that come after today's LLM — so you invest ahead of the curve, not behind it.
Beyond-LLM architecture
Where agentic, probabilistic, and neuro-symbolic approaches fit — and where they don't yet.
Edge & on-prem
Designs for latency, sovereignty, and cost when the cloud isn't the answer.
Advisory
A grounded point of view for boards and CIOs on what to adopt now versus watch.
Not sure which layer you need?
Tell us the problem, not the product. We'll map it to the right starting point.
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