Fundraising Fox

Kepler

New York, US · Founded 2025 · 8 employees on LinkedIn · 6 known investors

Kepler builds an AI platform that separates language interpretation from deterministic data retrieval and computation so every answer is traceable to a verified source, aimed at finance professionals in investment banking, equity research, hedge funds, private equity, compliance, and accounting. Its live finance product indexes SEC filings, earnings transcripts, and market data, and a forthcoming industry-agnostic platform lets users connect their own data and deploy verifiable AI agents.

Also known as Kepler for Finance · Kepler Platform

Founders & leadership

Kepler was founded in 2025 by Vinoo Ganesh and John McRaven.

VGVinoo Ganesh
Vinoo GaneshinFounder
JMJohn McRaven
John McRavenFounder

Investors · 6

Company profile

researched Aug 2026

Kepler is a New York-based company building what it calls a ground truth platform for AI: an architecture that separates natural language interpretation from data retrieval and computation. Its stated premise is that large language models are probabilistic and cannot guarantee reproducible numeric answers, so Kepler prevents the model from producing figures directly. Instead, the AI layer interprets a user's question and builds an execution plan, while deterministic code retrieves data and performs calculations, returning outputs with citations back to the underlying document, page and line item.

The product architecture is described in four layers: a Personalization Layer holding templates, saved queries, output preferences and workflow configurations; an AI Interface that resolves intent and decomposes questions into sub-tasks; an Ontology and Semantic Layer that maps concepts, relationships and data lineage against a shared canonical vocabulary so synonyms such as "revenue" and "top line" resolve to the same verified value; and a Data Platform that executes deterministic retrieval, computation and citation with point-in-time queryability. Layers communicate through structured contracts rather than raw model output.

Two products are presented. Kepler for Finance is described as live and in production for investment banking and financial analysis, with SEC filings, earnings transcripts, 10-Ks, 10-Qs, regulatory documents and market feeds indexed and exportable to Excel and PowerPoint. Kepler Platform, listed as coming soon, extends the same architecture to other domains, letting customers connect databases, APIs, document stores and internal knowledge bases, define domain workflows such as compliance checks or risk analysis, and deploy AI agents that inherit the same code-versus-language separation.

Business model

Kepler sells software to enterprises through a demo-request and login model on its website. The finance product is offered as a live indexed data and analysis environment, with a broader industry-agnostic platform announced as forthcoming for customers who connect their own data sources and build their own workflows and agents.

Traction

Kepler for Finance is described as live and in production, with an indexed corpus spanning more than 26 million SEC filings, earnings transcripts for over 14,000 companies, more than 40 million first-party investor relations documents and coverage of 27 global markets. The company states it is based in New York and hiring.

Latest developments

The website promotes Kepler Platform, an industry-agnostic extension of the finance architecture, as coming soon, and carries a "Featured by Anthropic" notice.

Full profile — market position, technology, go-to-market, geography

Market position

Positions itself as verification infrastructure for AI in high-stakes, numbers-driven industries, contrasting its deterministic, source-traceable outputs with general-purpose AI assistants whose answers cannot be reproduced or proven.

Rather than improving model accuracy through better training data, retrieval or guardrails, Kepler's stated approach is structural: the model is prevented from generating numbers at all, so outputs are deterministic, reproducible and citation-backed to the original filing, page and line item, which the company frames as necessary for outputs to be defensible in boardroom, regulatory or courtroom settings.

Technology

A four-layer stack in which AI is confined to language understanding and intent resolution while deterministic code handles retrieval and computation. Layer three is an ontology and semantic knowledge layer mapping entities, relationships and data lineage, resolving natural-language concepts to canonical fields tied to source documents. Layer four performs deterministic retrieval and calculation with reproducible outputs (same input, same output), full citation to source, and point-in-time querying. A personalization layer persists memory at analyst, team, desk and firm level, and encodes editable, auditable "skills" such as enterprise value calculations, trading comps and cap tables, including coverage-specific modeling rules such as FIG treatment of corporate versus financing debt.

Go-to-market

Direct enterprise motion anchored on a "Request a Demo" flow on the company website, with a domain-specific wedge in finance followed by a planned industry-agnostic platform. The site also promotes careers and blog content and highlights being featured by Anthropic.

Investment banking and financial analysis teams are the current focus. The company also identifies finance, healthcare, legal and government as sectors where decisions depend on precise, verifiable numbers and where AI adoption is constrained by the inability to verify outputs.

Geography

Headquartered in New York, with data coverage spanning 27 global markets.

Compiled by commissioned research from 7 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Companies with earnings transcriptsJan 202614,000 companies
First-party IR documents indexedJan 202640,000,000 documents
Global markets coveredJan 202627 markets
SEC filings indexedJan 202626,000,000 filings

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Competitors · 2

by search overlap

Companies competing with Kepler for the same Google search keywords, organic and paid, via search-intersection analysis.

Timeline · 3

launches, deals, and filings
Jan 2026
Featured by Anthropic

The company website carries a "Featured by Anthropic" notice linked from its site header.

source ↗

Jan 2026
Kepler Platform announced as coming soon

An industry-agnostic version of the platform, allowing customers to connect their own data sources, define workflows and deploy verifiable AI agents, is announced as forthcoming.

source ↗

Jan 2026
Kepler for Finance live in production

Kepler states its finance product is live and in production for investment banking and financial analysis, with SEC filings, earnings transcripts, 10-Ks, 10-Qs and market data indexed and exportable to Excel and PowerPoint.

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

In the news

Research sources · 7

primary sources listed

7 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Kepler do?
Kepler builds a verifiable AI platform that separates language understanding from deterministic data retrieval so every answer is traceable.
Who founded Kepler?
Kepler was founded by Vinoo Ganesh, John McRaven in 2025.
Who are Kepler's investors?
Kepler's investors include Mantis Capital, Pebblebed, Canaan Partners, Costanoa Ventures, IA Ventures, Tribe Capital.
Where is Kepler headquartered?
Kepler is headquartered in New York, US.