AI data analyst that turns months long data workflows into minutes.
Kamba Analyst is the operational layer for financial institutions that connects Smart Search, DQRs, Backtesting, Procurement, and Reporting into a single workflow.
Built for data strategy, sourcing, and quant teams who are done with fragmented portals, broken handoffs, and slow onboarding.
See Kamba Analyst do the work
Three short clips. No promo fluff. Just the core workflows your teams actually care about.
Ask a question in plain language. Surface relevant internal and external datasets in seconds, not weeks of emails.
Open Smart Search clip
Turn a raw sample into a structured quality view: coverage, gaps, anomalies, and basic stats in one shot.
Open DQR clip
Validate whether a dataset or signal actually moves the needle before you spend time and budget onboarding it.
Open Backtest clipFrom “what’s out there?” to “we’re using it” in one flow
Kamba Analyst handles the full lifecycle: discovery, quality, testing, approvals, and reporting — so work moves forward without broken handoffs.
- Smart Search — ask a question in plain language and surface relevant internal and external datasets.
- DQR — turn raw samples into structured views of coverage, gaps, and anomalies.
- Backtest — check whether a dataset or signal actually moves the needle before you onboard it.
- Reporting — generate decision-ready views for PMs, risk, and stakeholders.
- Data strategy & sourcing — consolidate requests, vendors, and samples into one flow.
- Quants & PMs — move from idea to tested signal without waiting on tickets.
- Procurement & compliance — standardize evaluations, approvals, and documentation.
- Data & engineering — reduce ad-hoc asks; let the analyst handle repeatable checks.
Not another portal. An analyst that does the work.
Kamba Analyst is not a data marketplace or a catalog. It is the operational layer that turns scattered data sources into one usable workflow for your teams.
Compress discovery, DQRs, testing, and approvals into one flow. Reduce “time to decision” without adding headcount.
Replace email chains, scattered samples, and one-off notebooks with a single, auditable workspace for data work.
Built for regulated institutions. Governance, entitlements, and workflows align with how your firm already operates.
Teams at these firms have seen live Kamba Analyst demos on Symphony:
Put Kamba Analyst in front of your data.
If your data teams are still stitching workflows together with email, tickets, and ad-hoc notebooks, it’s time to see what an AI-native analyst actually looks like on your stack.
- Heads of data / data strategy — you own the data roadmap and want to compress delivery cycles.
- Data sourcing / vendor teams — you manage samples, evaluations, and onboarding.
- PMs / quant leads — you care whether datasets and signals are actually adding P&L.