Kamba — AI Analyst for Financial Services

Kamba turns validated data into
finished financial analysis.

For hedge funds, asset managers, and research teams. Kamba finds the right data, validates it automatically, and produces investment-ready outputs — from backtests to memos — with lineage and governance built in.

Used by 6 of the top 10 hedge funds and leading insurance firms.
Hedge funds  ·  Asset managers  ·  Research teams  ·  Data leaders
How Kamba works
Kamba runs the workflow between data and decision.
01
Find the right data
Search across internal systems, vendor feeds, public sources, documents, and communications — in one request.
02
Validate quality automatically
Check coverage, anomalies, quality, and relevance before anything moves downstream. Datasets that fail the quality gate stop here.
03
Connect to your environment
Run inside your existing data stack and controls. No re-platforming. No workflow rebuild.
04
Produce finished outputs
Decision-ready artifacts — memos, reports, backtests, dashboards — delivered to your workspace with full data lineage, execution traces, and versioned outputs your compliance team can follow. Every run is logged. Every source is cited. Every output is reproducible.
See it in action
Not chat answers. Work product.

These are live artifacts produced by Kamba — the kind your team currently builds by hand. Start with the output closest to your workflow.

Data Quality Report — Kamba Output
Live output
Automated data quality assessment — coverage, gaps, anomalies, and quality flags across a combined sentiment dataset. The DQR your analyst used to spend a day writing, produced in seconds.
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Backtest Report — Kamba Output
Live output
Multi-asset signal validation with performance attribution, drawdown analysis, and full methodology documentation. The kind your quant team used to spend a week producing.
Open full report
Financial Report — Kamba Output
Live output
Structured company analysis — Credit Agricole SA — built automatically from validated data, ready to present. Consistent quality across every cycle, every analyst.
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Strategy Report — Kamba Output
Live output
Macro rates strategy report — full investment thesis with validated data foundation, signal testing, and forward projections. Built in one workflow. IC-ready on arrival.
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Investment Memo — Kamba Output
Live output
Precious metals IC memo — full investment thesis with validated data, signal testing, and forward projections. Structured, consistent, ready to present.
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Monitor — Kamba Output
Live output
PM Strategy Command Center — live tracking across positions, signals, and datasets with continuous alerts. The view your team used to assemble manually every morning.
Open full report
The problem

This is where the
workflow breaks.

  • 01 A signal idea surfaces on Monday. By the time the data is found, cleaned, and the backtest is built, it’s Friday. The window closed on Wednesday.
  • 02 An IC memo takes a week. Not because the thinking is hard. Because half that time is spent tracking down data that should have been ready on day one.
  • 03 The same report gets rebuilt from scratch every quarter. Same structure. Same steps. Same analyst hours. Gone.
This isn’t an analyst problem. It’s a workflow problem. Kamba fixes that.
Not sure where to start? See how PMs, quant researchers, and data teams each use Kamba across 12 real workflows. See use cases by role  →
Impact
60%
Of manual data work removed from analyst workflows — the sourcing, validating, formatting, and rebuilding that consumed time before the real work started.
Speed
Days → Seconds
The time between question and finished output. One request. One system. Decision-ready on arrival.
Get started

The system defining
trusted financial analysis.

See how your team moves from question to finished analysis — in one governed system, in seconds.

We’ll show you Kamba running on a workflow that matches yours.

or
Explore use cases by role  → See exactly how teams like yours use Kamba — no form, no call.
Hedge funds  ·  Asset managers  ·  Research teams  ·  Data leaders