Kamba. The Financial Analysis System for Institutional Finance.
Finished, sourced, auditable financial work product in minutes.
Research, analysis, and reports that take analysts hours to produce manually are delivered by Kamba as finished, sourced, auditable work product in minutes — with full data lineage and governance built in.
Morgan StanleyMerrill LynchScotiabankZurich InsuranceLaurion Capital
kambagroup.com
01 / 08
Why Now
Financial firms can generate answers instantly. They cannot generate governed work product.
If a portfolio manager cannot defend where every number came from, the work product cannot be used.
Generic AI output fails every institutional gate:
Investment committees
Compliance reviews
Audit requirements
Institutional deployment
The missing layer is governed machine-generated financial work product.
That layer does not exist yet.
Kamba is building it.
02 / 08
Why Kamba
Research and analysis that takes hours or days — delivered as finished work product in minutes.
01Investment Memos
02Strategy Reports
03DQRs & Backtests
04Daily Monitors & Alerts
05IC Preparation
Traced to source
Reproducible
Governance-ready
Kamba wraps a governed operating layer around the frontier models your teams already use. Every number traced to source. Every transformation logged. Every output reproducible on demand.
Generic modelsGenerate text
KambaGenerate institutional work product
Same model underneathDifferent operating layer. Different output entirely.
03 / 08
Live Demo
Not chat answers. Work product.
9:01Question asked
↓
9:02IC-ready artifact delivered
Every number traced to source
Every transformation logged
Every output reproducible
The output is the argument.
04 / 08
Distribution & Traction
Most startups spend years entering financial institutions. Kamba starts inside them.
750K
Financial professionals
1,500
Financial institutions
Native Symphony distribution. Kamba is embedded inside existing institutional workflows — no cold outreach, no procurement battles, no new login.
Morgan StanleyWealth Mgmt
Merrill LynchInvestment Bank
ScotiabankGlobal Bank
Zurich InsuranceInsurance / Asset Mgmt
Laurion CapitalHedge Fund
Teams at each institution are actively working with Kamba workflows. Wealth management. Investment banking. Global banking. Insurance. Hedge funds. The need is institutional-wide.
05 / 08
Why Us
Deep institutional finance. Deep workflow and data infrastructure expertise.
Leadership
Sebastean
CEO — years inside financial data and institutional finance ecosystems. Understands the buyers, the workflows, the compliance friction, and the distribution problem.
Ignacio Berdinas
Co-founder — professor and director of the graduate AI in Business program at a leading Argentine business school.
Supported by senior financial & technology leaders
Jean-Louis
Gucho Aguzin
Sebastian Gunningham
We understand the buyers, the workflows, the compliance friction, and the distribution problem inside institutional finance.
That is why the right firms are already in the room with us.
06 / 08
Business Model
Enterprise SaaS. Usage expansion built in.
01Per-user licensing
02Enterprise deployments
03Workflow expansion
04Symphony revenue share
Designed for institutional-scale adoption. 30-day free pilot — usage tracked, not billed. Pricing proposed from actual usage data. Billed through Symphony. Q3 2026 billing start.
Per User Economics — Y1
User pays$200 / mo
→ Symphony (20%)− $40
→ Kamba gross$160
→ AI cost− $46
= Kamba net margin$114 · 57%
Y1
Y2
Y3
Y4
Y5
Paid Users
150
2,000
8,000
22,000
38,000
ARR
$360K
$4.8M
$19.2M
$52.8M
$91.2M
Kamba Net
$55K
$1.5M
$7.8M
$24.2M
$50M
Net Margin
50%
58%
63%
65%
67%
EBITDA
−$699K
−$662K
$3.6M
$17.7M
$41.9M
Y3
EBITDA positive
67%
Net margin Y5
$91.2M
ARR run-rate Y5
Margin expands as AI costs deflate: Y1: 57% → Y3: 64% → Y5: 67%
07 / 08
The Ask
Raising to convert active engagements into revenue.
$500K
To accelerate enterprise deployment and convert active engagements into revenue.
01Enterprise onboarding
02Product hardening
03Workflow expansion
04ARR acceleration toward $1M
Milestone
$1M ARR positions Kamba for a priced institutional seed round on the back of named enterprise contracts.
Governed machine-generated financial work product is becoming infrastructure. The firms that adopt early build institutional memory, repeatable workflows, and a defensible standard that compounds.
