About Analyst3
Deal practitioners who build AI.
We sit between two worlds that rarely meet: the people who execute transactions and the people who build production AI systems. Analyst3 exists because the gap between them is where most AI initiatives fail.
Why we exist
Tools are not the problem.
M&A advisors don't lack AI tools. They lack workflows – defined, governed, measured processes that fit how deals actually get done, and that survive contact with compliance, your clients and the next mandate.
We assess the lifecycle, build the workflows that matter, and operate them alongside your team. What we build for you, you own – and you're never locked out.
Our principles
How we work.
- Judgment stays human; preparation gets automated
- Every workflow has a named owner and a measurable baseline
- Build inside your environment and accounts wherever possible
- Evaluate against historical examples before production
- No claim that AI replaces legal, tax, valuation or investment judgment
- Progress is measured in hours returned and cycle time, not demos
What makes us different
We are not a software vendor selling seats, and we are not a generalist consultancy writing decks. We build and run the AI workflows and agents inside your firm – assess, build, operate – and we stay accountable for whether it works.
Who we serve
M&A advisory firms, investment banks and business brokerages that run confidential, high-stakes processes and need capacity without compromising governance.
The founders
One from M&A. One from AI.
That pairing is the whole idea – a decade of deal experience and a decade of building AI, in the same room.
Mitchel Campbell
Co-founder & CEO
A decade in M&A – investment banking at National Bank Financial, Scotiabank and TD Securities, then corporate development at PointClickCare, closing acquisitions end to end. $20B+ of transactions advised, $1B of acquisitions closed.
Wendy Xiang
Co-founder & CTO
An engineer who grew from full-stack developer to leading Advanced Analytics & AI at TELUS, one of Canada's largest telecoms – a 12-person team shipping 60+ AI use cases into production. Google-certified ML engineer and P.Eng.
Let's look at your lifecycle.
Request a workflow assessment and we'll map where the hours go and what AI should take first.