Enterprise AI, built on governed data.
Produktiv helps enterprises govern how AI systems access data, use models, call tools, remember context and take action. Kynexa brings this foundation to life by applying policy and recording evidence across RAG applications, copilots, agents and AI workflows.
of enterprise generative-AI pilots never deliver measurable business impact: and the cause is usually the context and governance gap, not the model.
AI pilots stall when enterprises cannot control context, access and action.
As copilots, RAG applications and agents spread across the enterprise, leaders need consistent answers to six operational questions:
What enterprise data and context did the AI access?
Which policy was evaluated, and why was the request allowed, denied or redacted?
Which model was used and was it approved for this purpose?
Which tool was called, by which user or agent identity?
What output was generated and what evidence supports it?
Can security, risk, and compliance teams reconstruct the complete activity?
Traditional tools govern structured data and guardrails govern language; Kynexa governs understanding: what an AI is allowed to infer, combine and say. Without a shared control plane, every AI project creates another access model, policy implementation and governance gap.
Four systems for governed enterprise AI.
Kynexa combines governed data and context, runtime control, agent governance and structured observability in one enterprise AI control plane - explore each system below.
System of Context
Connect enterprise sources, extract semantic metadata, build the context graph, and select retrieval context through policy.
System of Control
Enforce identity-aware policy across retrieval, model access, tool calls, redaction, approvals and outputs.
System of Agency
Register agent identities and govern agents built with LangGraph, Claude, OpenAI, CrewAI, AutoGen or custom frameworks.
System of Observability
Record policy decisions, retrieval traces, model usage, tool calls, memory, identity and outputs as structured audit events.
Built for the way enterprises actually use AI.
Governed RAG
Policy-aware retrieval with citations and lineage.
Agentic AI
Identity, policy and audit around every agent action.
Conversational Analytics & BI
Governed answers over enterprise data.
Employee AI Assistants
Least-privilege assistants across teams.
AI-Generated Documents
Governed drafting with provenance.
Shadow-AI Discovery
Find and govern ungoverned AI use.
Govern data, context, models, tools, agents and memory - not just prompts.
A shared enforcement and evidence layer around the AI frameworks, models and data platforms your teams already use.
Govern before reasoning
Governs before the model reasons, not just on its outputs.
AI-native by design
Semantics-aware and enterprise-grade, not a module bolted onto a data catalog.
Aggregation & inference risk
Handles aggregation and inference risk explicitly.
Platform-neutral deployment
One plane across your clouds, models, databases and vector stores: your data stays at source.
A global manufacturer, governing AI across six systems.
A global manufacturer used governed retrieval and agent hand-offs across six systems: SAP, MES, QMS, an engineering repository, a supplier portal and SharePoint; with policy enforcement and complete audit traces.
Built to be trusted by security teams.
Kynexa supports enterprise security and compliance programs with single-tenant deployment, data kept at source, encryption in transit and at rest; and structured audit. Control coverage is continuously monitored and mapped to frameworks including SOC 2, ISO/IEC 27001, HIPAA, GDPR, NIS2, PCI DSS, DORA, HITRUST and NIST 800-53.
Frequently asked questions
See Kynexa govern your data and AI — in 30 minutes.
Bring a real use case. We'll set up governed retrieval, reasoning and audit on your stack.