AI that knows your business
Ekva connects your business systems, knowledge, and workflows—giving your teams the context to find answers, make decisions, and take action.
As AI moves beyond pilots, disconnected systems leave each person's work in pieces. Without shared context, choosing the right model, carrying permissions across tools, and planning AI spend all get harder.
of respondents say AI is scaling across their enterprises, up from 38% a year earlier.
McKinsey (2026)forecast growth in worldwide AI spending in 2026, year over year.
Gartner (2026)of surveyed AI data decision-makers cited siloed or hard-to-integrate data as a preparation obstacle.
Cloudera / HBR Analytic Services (2026)Ekva bridges the gap between raw models and your business. By connecting data and applications, it adds context to each request and works within your existing permissions.
Unify structured data sources and draw relevant signals from the applications your teams use.
A context layer interprets the request and selects a suitable model for the task.
Ground answers in connected evidence while applying existing access rules.
Ekva carries access rules into each request, links answers to their sources, and leaves a trail for review. Teams can use AI without losing oversight.
Ask a question. Get a report. Start or track a process. Ekva Voice brings your connected business to your phone, with the context to act and the choice to stay in control.
From finance and operations to sales and people teams, Ekva brings enterprise AI into the systems they already use — so everyone can ask, understand, and act with the right context.
Model routing can direct requests to different models based on configured task, cost, and data-handling criteria. Evaluate output quality and total cost with your own workloads.
Deployment options and data paths depend on the selected architecture. Review access, egress, logging, and governance controls against your requirements.
Where supported by the configured workflow, answers can include source references to help users review the underlying material. Validate coverage and quality for each use case.
In regulated industries, AI governance and data security are not features — they are the deployment decision. Ekva is architected so the answer to every security and compliance question is structural, not procedural.
Pen-test reports, SOC 2 Type II attestation, and data processing agreements available on request.
Visit Trust CenterWhitepapers & Guides
A technical guide covering air-gapped architectures, model governance controls, and compliance documentation for BFSI, healthcare, and government AI deployments.
A CFO-ready framework for modelling AI TCO across cloud LLM APIs and private infrastructure. Includes scenario-based worksheets for your own usage and procurement assumptions.
A practical guide to mapping applicable governance expectations to platform controls and audit evidence. Written for GRC leads and compliance officers.
Explore deployment options for your environment. Data flows and delivery timelines depend on the architecture, integrations, and review requirements you select.
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