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
Backtest Report — Kamba Output
Live output
Financial Report — Kamba Output
Live output
Strategy Report — Kamba Output
Live output
Investment Memo — Kamba Output
Live output
Monitor — Kamba Output
Live output
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 →
Proof
6 / 10
Of the top 10 hedge funds already running Kamba in live research workflows. Not piloting. Running.
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
Hedge funds · Asset managers · Research teams · Data leaders

