01
Multi-Source Connectivity
Connect to SQL databases, NoSQL stores, REST APIs, file systems, and vector databases. Deep Agent queries them all to find answers.
Multi-Source Connectivity
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← The Workbench
DEEP AGENT
A research agent with RAG built in.
An autonomous AI agent for the questions that drive decisions — the ones that need investigation, not a single query. Connect your own data sources, build RAG pipelines, and let it plan, correlate, and synthesize. Grounded in your data, governed and audited inside your perimeter.
Built for deep questions, not simple ones.
SEPARATE & SPECIALIZED
Most data tools answer simple questions — "how many users signed up last month?" One query, one result. But the questions that drive decisions are different: "Why did engagement drop in Q3, and what should we do about it?" Those need investigation — multiple queries, cross-referenced sources, tested hypotheses.
Deep Agent automates that investigation. It's a standalone research environment — separate from Chat Studio and AI Lab — where you connect your own sources directly, build RAG pipelines, and teach it your data so every answer is grounded in your documents.
From question to insight — automatically.
You ask: "Why did customer churn increase last quarter?" Deep Agent runs the investigation.
- Queries churn data by segment, region, and product
- Correlates it with support-ticket volume
- Analyzes NPS scores over time
- Checks for pricing or product changes
- Compares against competitor-activity data
- Synthesizes the findings into actionable insights — showing its work at every step
You get a comprehensive analysis that would have taken days — in minutes, with every query and intermediate result logged and auditable.
Your dedicated AI research environment.
- Independent data connections — Connect sources directly to Deep Agent. Separate from Lab datasets.
- RAG pipelines — Retrieval-augmented generation for document-heavy research and analysis.
- Multi-step reasoning — Breaks complex questions into sub-queries, synthesizes results.
- Knowledge management — Build persistent knowledge bases. Accumulate research over time.
- Deep research — Literature review, competitive analysis, due diligence investigations.
- Governed & audited — Full logging. Policy enforcement. Enterprise-ready.
Deep Agent Capabilities
02
Iterative Analysis
Deep Agent doesn’t stop at the first answer. It validates findings, tests alternatives, and refines conclusions through multiple iterations.
03
Visualization Generation
Automatically generates charts, graphs, and dashboards to communicate findings. Publication-ready outputs.
The questions Deep Agent was built for.
Root cause analysis
“Why did conversion rates drop last month?” Deep Agent investigates across marketing data, product analytics, support tickets, and competitive intelligence to identify contributing factors.
Customer intelligence
“Which enterprise accounts are at risk?” Deep Agent analyzes usage patterns, support interactions, billing history, and engagement metrics to identify warning signs.
Market research
“How does our pricing compare to competitors, and what's the impact on win rates?” Deep Agent correlates pricing data with sales outcomes and competitive intelligence.
Operational analysis
“Where are the bottlenecks in our fulfillment process?” Deep Agent examines order data, inventory levels, shipping times, and complaints to find the constraints.
Not generic AI. Not a shallow chat.
vs. generic AI — A generic chatbot can answer questions about your data only if you paste the data into the chat. Deep Agent connects directly to your sources, respects your permissions, and operates inside your security model. Generic AI is a smart colleague you have to brief by hand; Deep Agent is a smart colleague with secure access to your systems.
vs. shallow chat — Simple query tools answer one question at a time and stop at the first result. Deep Agent runs multi-step investigations — planning queries, correlating sources, testing hypotheses, and synthesizing findings — and shows its work at every step, with every query logged and auditable.
