Connect a database, CRM, REST API, or a folder of files. Agent Studio discovers the schema, generates a complete AI agent — API layer, MCP tool server, and chat interface — and deploys it to Docker. What used to take a sprint takes a guided wizard.
Our RootsBorn at IIT Hyderabad. Agent Studio was founded from within one of India's most rigorous engineering institutions, with IIT professors shaping the platform's architecture from day one — engineering problems solved properly, not shipped fast and fixed later.
How It Works
Connect → Discover → Generate → Deploy → Interact — the same guided flow, regardless of which data source you start from.
What's Built
Postgres, MySQL, SQL Server, Oracle, SAP HANA, Snowflake, Databricks, Redshift, Azure SQL, MongoDB, Salesforce (OAuth + JWT Bearer), REST APIs (7 auth types), and file uploads through a dedicated RAG pipeline.
Every connector generates both a Python and a Java project: CRUD tools, search/filter/count/range-query tools, an MCP server, a plain REST API, Docker artifacts, and an optional chat agent with conversation memory.
Encrypted, reusable saved connections. Role-based access — admin / developer / viewer — enforced on every route. Admin-password recovery with no hardcoded credentials. Per-agent version history over time.
One-click Docker deploy with per-agent environment overrides, a redeploy/stop lifecycle, and a live chat playground to test a deployed agent before handing it off.
Connect to Anything
Multi-Agent Orchestration
Enable multi-agent orchestration in Configure, and Studio auto-derives one Coordinator agent plus one specialist agent per selected object — each with its own system prompt and a routing keyword. At chat time, the generated router scans the question for a keyword match and hands it to that specialist; anything unmatched falls to the Coordinator. No orchestration code hand-written.
The same mechanism, proven against two unrelated live data sources — the registry table is generated by the product, not drawn for a slide.
See It In Action
Every screenshot below is from a live run against a real Salesforce org and a real MongoDB Atlas cluster — not mockups.
Why Actoryx
Most "connect your data to an LLM" tools stop at a single database and a single framework. Agent Studio is built around a connector-registry architecture — adding a new data source is a self-contained plugin, not a rewrite.
Ready When You Are
Whether it's a Salesforce org, a Postgres database, or a folder of PDFs — Agent Studio connects, discovers, and deploys. Let's walk through it together.
Talk to Our Experts Download the Deck Actoryx_Agent_Studio.pptx · 21 slides
Enterprise AI, Energy Intelligence & Digital Engineering — built for production.