Platform
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Kamba Analyst compresses discovery, data quality, backtesting, procurement, and reporting into one workflow so teams move from question to decision in minutes.

This is just one example of an agent-orchestrated data workflow. The same system supports advanced use cases such as strategy generation for quant and fundamental teams, stress-testing investment theses, continuous monitoring of dataset value and drift, and custom deep-dive analytical reporting.
1) Smart Search

Discover and scope datasets across internal or external catalogs and sources.

Example prompt
“Search the Kamba Catalog and Snowflake for quantitative trading signals from corporate calls, news, and social media. US equities”
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2) Data Quality Report (DQR)

Apply quality gates, surface issues, and block datasets that fail.

Example: Brain DQR
Quality checks + issue log with mitigations. Hard gate if failed.
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3) Backtesting & Value Validation

Test assumptions with explicit methodology and reproducible results.

Signals / multi-asset backtest
Shareable across IC, Risk, and Procurement.
Single-stock backtest (FICO)
Thesis ➜ rules ➜ PM & risk-ready outputs.
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4) Decision Artifacts

Approved, versioned evidence with lineage attached.

Comprehensive financial report (FICO)
System-of-record artifact designed for reuse and refresh.
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5) Workspace (System of Record)

Evidence, approvals, permissions, lineage, and audit trails — all in one place.

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