AI agents that act on your data — safely.

A chatbot answers questions; an agent completes work. Agents plan multi-step tasks, call tools — databases, APIs, document pipelines — verify results, and act, with human approval where you require it. AIONDATA builds agents with scoped permissions and full audit trails, so every action is traceable.

We are model-agnostic. We orchestrate OpenAI, Anthropic, and Google models — and open-source models where data residency demands it — choosing per task for the best accuracy-to-cost ratio, with automatic fallbacks between providers.

Grounding and guardrails. Agents answer from your governed data through retrieval and semantic layers (with citations), operate only through permission-scoped tools, flag low-confidence outputs for human review, and log every step. Consequential actions can require explicit human approval.

Yes — that is the point. We integrate through 35+ enterprise connectors, REST and GraphQL APIs, and the Model Context Protocol (MCP), so agents work with your Snowflake, PostgreSQL, Salesforce, and internal systems rather than around them.

A scoped single-job agent typically reaches production in three to six weeks, including evaluation and security review. Multi-agent systems or deep integrations take longer — we give you a concrete timeline after a discovery call.