Better business decisions
start with connected data

Enterprise teams need a clear view of the business. That starts with data they can bring together, understand, and check.

Enterprise data is spread across ERPs, spreadsheets, and business systems. The same invoice amount can have a different name in each one. Bringing those records together takes time before analysis can begin.

We built Wombat to help enterprise teams organize that data into a consistent view of the business, ask questions in natural language, and inspect the sources and rules behind the answers.

We focus on mid-market companies that need to connect enterprise analysis with day-to-day work: managing customers and business structures, allocating resources, cleansing data, and reviewing results.

The team behind Wombat

Operators, engineers, and advisors with deep roots in finance, AI, and enterprise software.

Co-founders

JA

Jordan Affeld

Previously Oracle, Microsoft, Google

Financial Engineering & Computer Science, Columbia University. Spent time at Oracle, Microsoft, and Google before starting Wombat to fix the data foundation mid-market teams actually work on.

WE

Wolfgang Edholm

Previously Amazon, Berkeley AI Research

EECS, Data Science & Linguistics, UC Berkeley. Built systems at Amazon and researched multi-turn LLM behavior at Berkeley AI Research.

Advisors

MM

Maunil Mehta

Partner, Deloitte

Leads engagements at the intersection of business process and IT solutions, advising finance and operations teams through complex transformations.

LG

Lan Guan

Chief AI Officer, Accenture

Shapes global AI strategy and delivery for the world's largest enterprises, with deep expertise in scaling generative AI inside regulated industries.

What we believe

Built for the mid-market

Practical tools for enterprise teams managing growing businesses and data spread across multiple systems.

Answers you can review

Review the query, applied business rules, and supporting data behind your analysis.

Built for enterprise work

Built around the relationships teams work with: customers, legal entities, suppliers, business rules, and approvals.

Human in the loop

Review suggested mappings, confirm business rules, and approve changes before taking the next step.

Join us

We're building the enterprise brain for mid-market companies and looking for exceptional people.

View Open Positions

Put your enterprise data to work.

Tell us about your team and data. We’ll discuss access and deployment with you.

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