We watched the workflow problem from the inside.
Then we fixed it.
Kamba is the Financial Analysis System between the question and the finished, sourced, auditable work product.
In financial services, the problem is rarely lack of data or lack of talent. It is the time between a question and a finished work product — the sourcing, the validation, the formatting, the review — that consumes the analyst's day and slows the team's decisions.
That workflow gap is what we built Kamba to close. Kamba connects the model to your data and produces finished, sourced, auditable work product in minutes.
Kamba is the Financial Analysis System that handles that workflow — so teams spend their time on judgment, not mechanics.
We spent years at Bloomberg, IHS Markit, and the firms they served watching analysts spend the majority of their time on data preparation rather than the analysis itself. That ratio is wrong and fixable.
Kamba is not a general AI tool adapted for finance. It is built from the ground up for regulated environments where auditability, lineage, and reproducibility are requirements, not features. Every work product holds up in an IC, a compliance review, or a client meeting — months later.
Alt-data budgets are expanding across the buy-side. Internal AI usage has roughly doubled year over year. The firms that win will be the ones who can move from question to defended work product faster than anyone else — with sources, checks, and review history attached.
I spent over a decade at Bloomberg, IHS Markit, and Demyst watching how the best investment teams in the world interacted with financial data. The constraint was never intelligence or access. It was the workflow between a question and a finished work product. Kamba is the system I wish had existed throughout that time.
Operators, technologists, and industry leaders with deep experience across trading, data, and financial infrastructure.
This team built data and analysis infrastructure at the firms that defined what institutional finance requires. The gap Kamba closes is one we watched from the inside for over a decade.
Bloomberg
Amazon
MIT
Stanford
IHS Markit
Oracle
J.P. Morgan
HKEX
Bank of America
Santander
NYU
Wharton