Turn AI from a tool you use into a new business operating model, with a partner that helps define your strategy and builds with you.
The point of AI is not to do the same work with fewer people. It is to take on problems that were out of reach before.
AI multiplies judgment, so your best people become sharper, not redundant.
We build so your people can keep building. The skill, the systems, and the ownership remain in-house.
Sixty years ago Douglas Engelbart argued that computers should augment human intellect, not replace it. That is still the right frame for AI. The goal is not fewer people. It is people who can do what was not possible before.
AI raises the floor. Your people raise the ceiling.
The right outcome for your leadership team. Most partnerships move through all three.
“We know AI is a destination we want to reach. We don't know what it looks like for our company, where to start, or how to sequence the work.”
“We need custom tools, workflows, and applications that drive our business. We've tried buying them off the shelf. AI has changed that calculus.”
“We don't want a partner who advises, builds, and leaves us dependent. We want our team to operate the way you do.”
Wallabi is built by the people who led the data platforms at Tableau, Salesforce, and Google.
Co-founder and CEO
Pedro spent 25+ years in data and analytics, moving from product leadership to general management at Tableau, Salesforce, Looker, and Google. He started the company with the belief that technology is more powerful when it's grounded in the people, processes, and business context that drive real transformation.
Co-Founder
Michael has spent 25+ years solving problems with a mix of people, technology, and data, rising to Principal Software Architect over 12 years at Tableau after earlier work at CoStar/PPR, IBM, and a handful of startups. A builder by nature and by trade, he co-founded Wallabi out of a conviction that AI opens up a new class of problems worth solving, and a desire to help others take them on. He holds a B.S. in Computer Science from the University of Washington and works from Seattle.
Software Engineer
Daniel builds new technology at Wallabi that helps people find fresh ideas in their data. He specializes in taking emerging technology and research from idea to shipped product, honed over nearly four years at Tableau as a Principal Software Engineer on the prototyping team in the office of the CTO. A repeat founder, he has launched Abacus Learning and Figaro, a music-practice app built on digital signal processing and computer vision. He holds a B.A. in Computer Science and Philosophy from Cal Poly, San Luis Obispo.
Software Engineer
Vasily builds the technology that helps companies put AI to work on their own data. He spent two years as a Staff Software Engineer at Databricks and over nine years at Tableau, where he became a Principal Member of Technical Staff, with earlier work at Microsoft and Roblox. He holds a Master's in Physics from Novosibirsk State University and is based near Seattle.
Product strategist
At Wallabi, Josh helps AI-curious executives lead their teams into becoming AI-native. As Director of Product Design at Flatiron School, he built a learner-centered design training program and ran enterprise programs for Amazon, the US Army, and Deloitte. He has taught more than 500 people as Lead Instructor for Product Design at WeWork, and as a Senior UX Designer at Centro he brought machine learning and algorithmic optimization into real-time bidding. A designer, educator, writer, and musician, Josh works to make technology more accessible and inclusive. He is based in Chicago.
Product strategist
At Wallabi, Garrett shapes the products that put AI to work for businesses. He started as a software engineer and moved into product, spending nearly six years at Tableau, where he grew from engineering intern to senior product manager, then led product at Amperity for three years. He pairs an engineer's instincts with a product manager's sense for what customers actually need. He holds dual bachelor's degrees in Computer Science and Economics from Elmhurst University, where he graduated Magna Cum Laude.
Strategy that finds the highest-impact opportunities, and the build that turns them into business outcomes.
AI lead-generation and self-service data apps non-technical teams now run themselves.
Projected annual margin improvement from AI tied directly to commercial outcomes.
ITA GroupPricing intelligence built for a high-volume resale operation with a lean ops team.
Automated purchase-order reconciliation and uncollected-revenue analytics, built on top of a unified data layer.
Large enough for AI to move the P&L, ready to move forward fast.
A senior executive with P&L authority owns the outcome. This is a business decision, made in the C-suite.
Board questions, customer demand, or a competitive shift has made AI a this-year decision.
Lower commitment at the top, deeper partnership as it earns trust. Start anywhere.
A working session for the C-suite and the senior leaders whose P&Ls AI will touch — shared clarity by the end.
A time-boxed read on where AI can actually pay off, run end to end by one strategist — a working artifact, not an invoice.
You already know the ambition: a product, a workflow, a data capability. We scope it, build it, and hand you the keys.
Co-development beyond the first engagement — we come back for the next project, or run alongside your product team.
Start with a half-day Executive Alignment Workshop, the lowest-commitment way to see where AI moves your business.
