What Kamba Group does

Kamba Group LLC is a New York-based, privately held AI software company that builds an AI-native data-workflow platform for financial-services firms. Its core product, the Kamba AI Data Analyst, is a multi-agent system that connects frontier language models (GPT, Claude, Gemini, Llama) to a firm's existing licensed data — Bloomberg, Refinitiv, SEC filings, internal warehouses, and web sources — and produces finished, sourced, auditable work products such as investment memos, IC briefs, credit analyses, strategy reports, data quality reports, backtests, monitors, and alerts, with example runs completing in roughly 83 seconds. The platform wraps this capability in a proprietary governance layer that delivers automatic data validation, full data lineage from raw source to final claim, audit trails defensible in IC and compliance review, and scheduled/reproducible workflows.

The product surface spans the Kamba AI Data Analyst, Kamba Smart Search for natural-language dataset discovery, and the Data Quality Reports module, with four deployment options — managed Kamba Cloud, native Symphony integration, customer Private Cloud, and full On-Premise — plus a REST API and Model Context Protocol for technical integration. The platform is engineered for regulated environments: SOC 2 Type II in progress, ISO 27001 alignment, GDPR and CCPA/CPRA compliance, AES-256 encryption, customer-managed keys (CMEK/BYOK/HYOK), and zero model training on client data. Customer data is queried under existing vendor entitlements (Bloomberg under Bloomberg, Refinitiv under Refinitiv) with no re-licensing, shadow copies, or re-hosting.

Kamba makes money primarily through enterprise subscriptions starting at US $120,000 per year, supplemented by per-user seats at US $300 per user per month, a usage-based credits system for AI queries and API calls, custom-quoted white-label and on-premise deployments, and a Marketplace Data Exchange that currently carries 0% transaction cost. The go-to-market is enterprise field sales targeting hedge funds, asset managers, insurance companies, and research teams, with a sales motion built around returning a real work product before the sales conversation begins. The company was founded by Sebastean Leoni (former Bloomberg, IHS Markit, Demyst) and Ignacio Berdinas and operates with 1–10 employees from 227 East 59th Street, New York.

Name

Kamba Group

Legal name

Kamba Group LLC

Website

https://kambagroup.com

Company type

Private

Founded year

2011

Operating status

Operating

Headcount range

11–50 employees

Short description

Kamba Group builds an AI-native data-workflow platform for financial-services firms, connecting frontier language models to licensed data sources (Bloomberg, Refinitiv, internal warehouses) to produce finished, auditable investment memos, credit analyses, and DQRs for hedge funds, asset managers, insurance companies, and research teams.

Ownership category

akta.pro rank

Product category

AI Financial Analysis Software

NAICS

Software Publishers (513210)

SIC

Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

AI/ML Solution Integration & MLOps Enablement (BPAEAAAJ)

akta.pro secondary industries

Cloud Compliance, Audit & Continuous Controls Monitoring (CCM/GRC) (HDABAHAI), Dashboarding & KPI/Performance Management (HDAEAMAF)

Keywords

• AI financial analysis
• Investment research software
• Financial data workflows
• Audit-ready analytics
• AI data analyst

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Enterprise Subscription: Annual SaaS license including AI modules, integrations, and governance tools. Starting at US $120,000 per year, scalable with modules and connectors. Includes deployment options: Kamba Cloud, Symphony native, Private Cloud, or On-Premise.
2. Team/Individual Seats: Seats for small teams or single users at $300 per user per month. Additional per-user pricing for team deployments.
3. Credits System: Usage credits that power AI queries, model runs, and API calls. Credits deducted per use with volume discounts available for larger deployments.
4. White-Label/Custom Deployments: Private-cloud or branded versions for large enterprises. Custom-quoted based on scope and requirements.
5. Marketplace Data Exchange: Data discovery, requests, and transactions among participants. Kamba charges 0% transaction cost for buyers and vendors — no fees or commissions on marketplace transactions.

Pricing tiers

Go-to-market motion2 records

Distribution channels5 records

Marketing channels3 records

Core offering

Kamba is an AI-native data-workflow platform that connects frontier large language models to a firm's licensed data sources (Bloomberg, Refinitiv, SEC filings, internal systems, web) and produces finished, sourced, auditable financial work products such as investment memos, credit analyses, portfolio constructions, data quality reports, and strategy reports. The platform operates as a multi-agent AI Data Analyst with a data lineage and validation layer, full audit trail, and four deployment options (Kamba Cloud, Symphony native, Private Cloud, On-Premise).

Product overview

Kamba is an AI-native data-workflow platform that delivers finished, sourced, auditable financial work products by connecting frontier AI models to a firm's licensed data. The core offering combines Kamba AI Data Analyst (multi-agent system for financial analysis) with Kamba Smart Search (dataset discovery) and a Data Quality Reports module — unified under a governance layer that provides data validation, full lineage, and audit trails. The platform operates across four deployment options: Kamba Cloud (managed SaaS), Symphony Integration (native inside Symphony), Private Cloud, and On-Premise. Work products include investment memos, strategy reports, credit analysis, DQRs, backtests, monitors, and alerts, all delivered with source-grounded traceability. Pricing combines enterprise subscription (starting at $120,000/year), per-user seats ($300/month), and a credits system for AI queries and API calls.

Differentiator

Problem solved

Functional benefit

Quantifiable outcome

• ~$7.3m estimated gross alpha opportunity lost annually for a $2.5bn fund onboarding six datasets per year at status-quo speed
• +2 more outcomes

Segments4 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration7 records

AI capability8 records

Feature6 records

Partnerships

Eight partnerships are on record, tiered core and supporting.

• SymphonycoreTechnology or IntegrationSymphony is a native workflow integration partner — Kamba operates natively inside the Symphony platform. Enterprise deployment option listed as '02 Symphony Native inside Symphony.' Communications, telemetry, and metadata remain governed by Symphony's encryption and compliance rules.
• AWS (Amazon Web Services)supportingTechnology or IntegrationAWS is listed as a cloud hosting and infrastructure provider. Cloud provider subprocessors operate under Data Processing Agreements with encryption safeguards.
• Microsoft AzuresupportingTechnology or IntegrationAzure is listed as a cloud hosting and infrastructure provider. Cloud provider subprocessors operate under Data Processing Agreements with encryption safeguards.
• OpenAIsupportingTechnology or IntegrationOpenAI is listed as a third-party AI provider for optional LLM inference. Kamba applies 'no-training/no-retention' instructions where available, prompt redaction, and model isolation. Model sees query; does not retain it.
• AnthropicsupportingTechnology or IntegrationAnthropic is listed as a third-party AI provider for optional LLM inference. Kamba applies 'no-training/no-retention' instructions where available, prompt redaction, and model isolation. Model sees query; does not retain it.
• BloombergcoreTechnology or IntegrationBloomberg is a data source that Kamba connects to — Kamba queries data under customer's existing Bloomberg license. Bloomberg stays under the customer's Bloomberg agreement. No re-licensing, no shadow copies, no entitlement bypass.
• RefinitivcoreTechnology or IntegrationRefinitiv is a data source that Kamba connects to — Kamba queries data under customer's existing Refinitiv license. Refinitiv stays under the customer's Refinitiv agreement. No re-licensing, no shadow copies, no entitlement bypass.
• SnowflakesupportingTechnology or IntegrationSnowflake is a data integration option — customer-authorized integrations where Kamba processes data on customer's behalf. Connects to internal data lakes and warehouses.

Scale indicators4 records

Recent moves5 records

Expansion highlights5 records

Direct peers

• Hebbia: AI knowledge worker platform targeting financial services with document and data analysis workflows. Closely comparable product surface (LLM-powered analysis, audit-friendly outputs, enterprise focus) and same buyer (asset managers, hedge funds, banks).
• AlphaSense: Enterprise market intelligence platform using AI to search filings, transcripts, and proprietary research for investment and corporate teams. Directly comparable in target buyer (research and investment professionals) and in producing sourced, auditable analytical outputs at scale.
• Boosted.ai: AI-driven portfolio management and investment research platform for asset managers and wealth advisors. Overlaps with Kamba's portfolio construction, signal testing, and AI-generated research memo workflows for the same hedge fund and asset manager buyer.
• Toggle AI: Generative-AI investment research copilot for analysts and portfolio managers. Competes in the same AI-for-investment-research category, with similar use cases (data-grounded answers, citations, and workflow acceleration) for the same institutional buyer.
• FinChat: AI-powered investment research assistant for equities and funds, offering sourced answers and analyst-style outputs. Targets the same investor audience with comparable AI-research product mechanics, though narrower on enterprise workflow depth.
• Exabel: Alternative data analytics and signal evaluation platform for investment managers. Overlaps with Kamba's data discovery, dataset backtesting, and DQR use cases for research teams evaluating vendor datasets.
• RavenPack: AI-driven financial news and analytics platform serving hedge funds and asset managers. Overlaps with Kamba's news/document ingestion, signal generation, and audit-traced research outputs for the same quant and fundamental buyer.

Broad incumbents

• Bloomberg Terminal: Dominant incumbent data, analytics, and messaging platform for financial professionals. While not a direct AI-workflow competitor, it is the entrenched workflow environment Kamba plugs into and competes against for analyst mindshare and budget.
• S&P Capital IQ Pro: Enterprise financial data, screening, and research workflow platform owned by S&P Global. Comparable as the established 'data + research workflow' incumbent whose budget and workflows Kamba targets inside asset management and investment banking.
• Domo: Cloud BI and data workflow platform used by enterprises (including financial services) to integrate data sources and produce dashboards/reports. Comparable at the data-integration-and-workflow layer, though broader in vertical and lighter on finance-specific governance.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

Compliance5 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles6 records

Funding overview

Funding rounds1 record

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Kamba Group