51%
of organizations trust AI insights
Simba Agentic Intelligence
Connect AI Agents to Governed Enterprise Data With Contextual, Auditable Results
Connect AI agents to live enterprise data. Governed, contextual, and auditable. Every agent answer verified.
4.5
4.5
Why AI Agents Fail Without Governed Data Access
AI Agents That Hallucinate and Guess
Without governed data access, AI agents query enterprise systems directly and produce hallucinated, unverifiable outputs. Teams cannot trust agent-driven decisions when there is no way to verify where the answer came from.
No Visibility into What Agents Are Doing
Agentic AI systems operating without audit trails create compliance and security risks. When agents access data autonomously, organizations need full visibility into every query, access pattern, and output.
Fragile Connections Break Agentic Workflows
AI agents that rely on brittle pipelines or direct database access fail constantly at scale. Schema changes, access control gaps, and data movement requirements create technical debt that slows agentic AI adoption.
The Business Case for Governed OEM AI
33%
concerned about AI hallucinations
63%
say data prep for AI causes delays
What Simba Agentic Intelligence Gives AI Agents
Governed, In-Place Data Access
Simba Agentic Intelligence queries live enterprise data in place without moving it, copying it, or creating governance gaps. AI agents get the data they need with business semantics and access controls enforced at every step.
Self-Verifying Agentic Queries
Every agentic query returns a verifiable answer backed by data lineage, business logic, and a full audit trail. Agents show their work at every step so governance teams and business leaders can trust autonomous AI decisions.
Central Hub for Agent Data
Acting as a central hub for governed data access, Simba Agentic Intelligence unifies how AI agents, enterprise systems, and applications connect to live data. Multimodal MCP integrations support text, image, and document-based interactions.
Resources for Agentic AI Builders
Why Enterprise AI Fails
LLMs are token predictors, not reasoning systems. Learn why 95% of AI pilots fail and how governed semantic platforms fix the root cause.
Watch Now
Connect, Reason, Govern
BARC research: how a federated semantic layer, metadata layer, and governed analytics agents push agentic AI from experiment to production.
Read Now
No-Compromise AI
Cloud-only AI forces an impossible choice. See how Simba Embedded Analytics and Simba Agentic Intelligence deliver full AI analytics across any architecture.
Learn MoreAgentic AI Platform Capabilities
Purpose-built for agentic AI systems. Driver-level connectivity, built-in governance, and MCP integrations for multimodal agentic workflows in production.
Coverened Data Access
Agent Verification
Audit Trails
MCP Integration
Agentic Querying
Driver-Level Access
In-Place Data Query
Business Semantics
Cloud & On-Prem
Connect Your AI Agents to Governed Enterprise Data
4.54.5