We're building
production AI Agents
that teams can trust.
DataCove was founded on one belief: AI should be operational, not experimental. Most businesses do not need more models — they need agents that work in production, with structure, guardrails, and accountability built in.
Closing the gap
at deployment.
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.
Built by people who've
shipped before.
Vivek
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.
AI is infrastructure.
Not a slide deck.
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.”
We're building with people who understand what production-grade AI actually takes.
Backed by angel investors and Ontario Centre of Innovation. Enterprise pilots in progress. Focused on turning real workflows into production systems.
Want to build
with us?
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.