200+ connectors — every source, no latency, no code.
Contextualize, model and prepare data for every team.
Governed, lineage-traced, compliant by design.
Copilots, agents, data products and APIs that act.
Instead of integrating systems, we integrate business concepts into one unified model — regardless of which system at Usha International they live in.
Enterprise 360 creates the entities; the graph creates the relationships, so AI can traverse cause to effect.
LLMs sit on top of the graph and a semantic layer, so every answer is grounded — a trusted answer, not a confident hallucination.
Agents share the same graph and semantic layer — they read the context, predict, and execute a real transaction in the source system.
200+ no-code connectors pull from every source — no rip-and-replace, no data movement.
The metadata & contextualization engine maps each field to a shared business glossary.
Entity resolution stitches records across systems into one record per real-world entity.
Lineage, quality & access control attach to every entity — so the 360 is trusted.
A context layer is years of integration, governance and graph engineering. We bring the platform — you bring the domain.
Dashboards answer what. Only a graph + semantic layer answers why — and lets agents act.
A fabric moves data. SCIKIQ adds the business context every AI initiative needs to be trusted.
Ungrounded models hallucinate. Grounded on the graph, answers are explainable and lineage-traced.
Trace revenue impact to its operational cause; auto-resolve invoice exceptions.
See congestion and asset risk before they bite; reassign capacity autonomously.
Every number lineage-traced; policy-enforced answers for the board and regulators.
Unify the customer across systems; act on churn and service signals in real time.
Vendor SLA, inventory and requisitions — predicted and closed-loop.
A single, live, trusted view of the business — from the top floor.