Kamba — AI Analyst for Financial Services
Kamba  ·  AI Analyst for Financial Services

Kamba is where
financial analysis
gets done.

6 of the top 10 hedge funds & leading insurance firms are already running Kamba for their research

Kamba finds the right data, validates it automatically, and delivers finished analysis to investment and data teams — in seconds, not weeks.

Request demo  → See it in action
For hedge funds  ·  Asset managers  ·  Research teams  ·  Data leaders
How Kamba works
01   Find the right data→ 02   Validate quality automatically→ 03   Connect to your environment→ 04   Produce finished outputs→
Every output is grounded in validated data, with full lineage, governance, and auditability built in.

Kamba does the data work.
You do the thinking.

The analysis arrives structured, governed, and ready to use.

See it in action

Not chat answers. Work product. Click any output below — these are live artifacts produced by Kamba, the kind your team currently builds by hand.

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.
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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 — Macro Rates 2026 — 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 — Precious Metals IC — 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 — PM Strategy Command Center — Kamba Output
Live output
PM Strategy Command Center — live tracking across positions, signals, and datasets with continuous alerts. The kind of view your team used to assemble manually every morning.
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The problem

Your analysts are not
the bottleneck.
The workflow is.

Most teams don't have a thinking problem. They have a workflow problem.

Too much time is spent finding data, validating it manually, waiting on engineering, and rebuilding the same analysis every cycle.

By the time the data is ready, the window is smaller and the decision is weaker.

Good decisions are being made on incomplete analysis — or not being made at all.
  • 01A signal idea dies before it gets tested. By the time the backtest is done, the window has closed.
  • 02A memo takes a week because the data wasn't ready. Not because the thinking was hard.
  • 03The same report gets rebuilt every quarter from scratch. Same structure. Same analyst time. Gone.
Proof
6 / 10
Of the top 10 hedge funds and leading insurance firms are already running Kamba for their research.
Impact
60%
Of analysts' manual data work removed — the pulling, the formatting, the copy-paste, the rebuilding from scratch. Gone.
Speed
Seconds
Not weeks. The time it takes Kamba to produce analysis that used to take days to build by hand.
Who this is for
Quant researchers & analysts
Signal ideas without a fast path to validation.

The backtest queue is the bottleneck. The DQR is a manual tax. Kamba removes both.

Research & investment analysts
Producing the memos and reports that drive allocation decisions.

And rebuilding them from scratch every single cycle. Kamba produces the artifact. You focus on the thesis.

Portfolio managers
Every slow backtest, every late report lands on your desk.

When the workflow moves faster, so do your decisions.

Wealth managers & advisors
Institutional-quality analysis across a full book.

Not output constrained by how many hours one analyst had that week.

What Kamba does

Kamba does the data work. You do the thinking. It finds the right data across any source. It validates quality automatically. It connects it without engineering bottlenecks. Then it produces the analysis — so your analyst can focus on the judgment, the thesis, the decision.

Investment Memos
Artifact 01
Structured, consistent, ready to present. Not assembled from three spreadsheets the night before. Built from validated data, with full lineage attached from the first line.
Backtested Strategies
Artifact 02
From signal idea to tested, documented output — without the engineering queue. The same day you have the idea. Reproducible methodology. Designed for IC and risk review.
Financial Reports
Artifact 03
The report your team rebuilds every quarter, produced automatically at any cadence and any scale. Same quality every time. No analyst hours spent on formatting.
Projections
Artifact 04
Built from validated data, with full lineage attached. You know where every number came from. Defensible in committee. Auditable months later.
Deep Analysis
Artifact 05
Research-grade output across any asset class, in the time it used to take just to pull and clean the data. The thinking stays yours. The plumbing disappears.
Monitoring & Alerts
Artifact 06
Continuous coverage across positions, datasets, and signals. You find out when something changes — not after the fact. Alerts routed to the right person, automatically.
Structured Governed Auditable All asset classes Full data lineage
Why it works

Pulling data, validating it, formatting it, rebuilding the same report for the fourth time —
that's not analysis. That's administration.

Kamba handles all of it. The data is found, validated, and connected before your analyst touches it. The output arrives structured, governed, and ready to act on.

The lineage is there. The audit trail is there. The quality gates are there.

What's left for your analyst is the part that actually matters — the judgment, the thesis, the insight that no system can replace.
Not a chatbot
It produces work product, not answers
Most AI tools give you a response. Kamba gives you a finished artifact — structured, sourced, and ready to present to a committee. The output holds up because it was built on validated data, not generated from a prompt.
Built for finance
Not a general tool adapted for finance
Kamba was built from the ground up around investment workflows — sourcing, validation, backtesting, reporting, monitoring. The workflows your team runs every day are the ones Kamba was designed to compress.
Governed by design
Every output is auditable months later
Full data lineage on every artifact. Permissions and access controls built in. Every decision logged and traceable. Work product your compliance team can defend — not just today, but in a review six months from now.
No re-platforming
Runs where your team already works
Connects to Snowflake, S3, and your existing vendor feeds. Model-agnostic. No new portal to log into. No shadow copies of your data. It fits into your stack — it doesn't replace it.
Get started

Run Kamba on
your data.

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

Request demo  → Talk to us

Hedge funds  ·  Asset managers  ·  Research teams  ·  Data leaders