COMPANY
DataCove was founded on one belief: AI should be operational, not experimental. Most businesses do not need more models — they need workflows that work in production, with structure, guardrails, and accountability built in.
OUR STORY
Most AI adoption fails quietly. Not at the demo — at deployment. Outputs that can't be audited. Integrations that break. Models that hallucinate in ways no one catches until it costs something.
DataCove was built to close that gap. We build focused AI workflows — from input to structured, auditable output — for businesses that cannot afford a failed experiment.
"Our first workflow, DefenceNet, is already in enterprise production. It's proof that what we're building works."
DefenceNet is the proof point. A real-time scam and fraud prevention platform with patented on-device AI — and a preview of the platform we're assembling around it.
FOUNDERS
Founder & CEO
Second-time founder. Previously bootstrapped Pragra to $3M+ revenue, training 3,500+ professionals. 15 years in enterprise technology including cloud architecture at Air Canada. Deep background in building and scaling technology organizations across distributed teams.
WHAT WE BELIEVE
Like cloud computing before it, the businesses that win will not be the ones that talk about AI the most — they will be the ones that operationalize it most reliably.
DataCove is building the platform that makes that possible, starting with tightly defined workflows in fraud, risk, and security where precision matters and failure is expensive.
We are early, focused, and deliberate about where we expand next.
AI should be operational — not experimental.
INVESTORS & PARTNERS
Backed by angel investors and Ontario Centre of Innovation.
Enterprise pilots in progress. Focused on turning real workflows
into production systems.
GET IN TOUCH
Book a demo, explore a partnership, or talk to us about a focused workflow deployment. We're always open to conversations with the right people.