From data to finished
analysis in one system.
Kamba Analyst finds the right data, validates it automatically, connects it to your existing environment, and produces decision-ready analysis with full lineage attached.
Search across internal systems, vendor feeds, public sources, documents, PDFs, and emails in one request. Kamba returns ranked results with fit rationale and an auto-generated dataset brief.
Before anything moves downstream, Kamba checks coverage, anomalies, gaps, and quality flags, then structures the results into a DQR in seconds. Failed datasets stop here.
Kamba works with your existing warehouses, lakes, vendor feeds, documents, and interfaces — without forcing re-platforming or creating shadow copies of your data.
Kamba turns validated, connected data into structured, decision-ready outputs your team can review, share, and act on — with full lineage and governance built in.
Not fixed templates. Structured outputs built around the question, the data, and the use case — structured, governed, and auditable every time.
One system. Any combination. An analyst can ask for a credit analysis of a sector using alternative data for an IC on Thursday — and Kamba produces it.
Different questions. Different data. Different outputs. One governed system.
Data governance is not optional in financial services. Kamba is designed for the control requirements of institutional firms from day one.
Kamba connects to the sources your firm already uses, under your existing commercial terms and entitlements. Works with the data stack you already have.
Snowflake, Redshift, BigQuery, data lakes, portfolio systems, research documents, PDFs, emails — connected without re-platforming.
Alternative data, market data, ESG, fundamentals, credit — under your existing commercial terms and entitlements.
Regulatory filings, news, public APIs, and reference data that enrich and contextualise your internal analysis.
Kamba runs inside the operating model your firm already requires — cloud, private cloud, on-prem, or inside your existing agent stack. No new portal. No shadow data copies. No re-platforming.
Fully managed. Fastest to deploy. Per-client isolation, no infrastructure overhead.
Deployed into your own cloud for tighter control over networking and data residency.
Installed on-premise for the highest level of control and internal integration.
Connect via API or Model Context Protocol. For teams running their own LLM environments who want Kamba's validation and output layer without changing their stack.
Run Kamba on
your data.
See what your team produces — in seconds, not weeks.