Keith RiddollsPrincipal · Founder
After more than two decades building reporting, analytics, and data platforms inside large organizations, we founded Thalexa to bring that same quality of work to the privately-held companies of the GTA and Central Ontario.
Enterprise data work has a methodology behind it: structure, architecture, discipline. That methodology has rarely been available to the mid-market companies who need answers just as urgently. Their budgets don’t fit a full-time data team. Their problems don’t fit a templated SaaS product. Their owners end up running on instinct because the alternative costs too much.
Thalexa exists to close that gap. The firm is led by Keith Riddolls and works with a small network of senior associates as each engagement requires.
Keith has spent more than 25 years in data architecture, analytics, and enterprise platforms. He has designed systems, led large development teams, and shipped reporting and analytics for organizations of significant scale. He is a TOGAF Certified Enterprise Architect.
His career has spanned financial services, human capital management, fleet telematics and IoT, hospitality technology, security, and SaaS. This has included senior architecture roles at Manulife, Dayforce, Fleet Complete, NexJ Systems, and PriceMetrix, where his work was recognized as a Computerworld Honors Laureate. At Fleet Complete he led the design of a big-data platform scaled to over a hundred petabytes. At Manulife, an MDM assessment he led identified and retired a redundant system, saving the firm roughly five million dollars over three years.
He is also the founder and CEO of Trillabit, the analytics platform that pairs governed self-service reporting with conversational AI. Thalexa leverages Trillabit where it earns its place, particularly when a client wants leadership and operators to be able to ask questions of their live data without waiting for a new dashboard.
The work Thalexa does for mid-market clients is the same work Keith has done for much larger organizations. Different industries, different scale. The underlying data systems are the same. What changes is the size and the price.
If this is a conversation you’ve been meaning to have, we’d be glad to talk.