Most people who spend years in a courtroom learn to argue. Abolade Oshodi learned something different: he learned to see the board.
As a barrister and solicitor practicing both litigation and commercial law, Oshodi watched the same dynamic play out repeatedly — two sides, each marshaling facts and contract language toward a predetermined conclusion. “That process – structured reasoning under uncertainty – became the foundation of everything I’ve built,” he says.
A stint at a government regulatory body cemented the insight. Reviewing director accounts of companies in financial distress, he noticed a pattern that had nothing to do with misconduct. “So many of those directors simply couldn’t see the board,” he recalls. “They invested, they expanded, they believed they were in a strong position – but they had never actually mapped the market they were operating in.”
He wanted to help those people before a regulator had to explain why they failed. That wasn’t his job then. It is now.
WHAT KITAM ACTUALLY DOES
KITAM Trade Intelligence tells exporters what to do, when to do it, and what it will cost – for any product crossing any border in its coverage zone. A single query returns the full prescriptive pathway: tariff treatment, required certifications, labeling obligations, logistics, estimated landed cost, and the exact next steps, in order.
“That level of specificity used to require a trade lawyer, a customs broker, and a logistics consultant across two jurisdictions,” Oshodi says. “We deliver that pathway to an SME in under 60 seconds.”
The platform offers two access models: a per-query service at $50, and a dedicated intelligence deployment for municipalities or economic development offices. The municipal pitch is deliberate – Oshodi believes local governments have a strong incentive to help their manufacturers understand what it takes to export. “When a city can tell its manufacturers ‘here’s how your product reaches that market,’ that city attracts investment, creates jobs, and builds resilience.”
THE PROBLEM WITH “TRADE INTELLIGENCE”
The trade data market is crowded. What Oshodi argues is missing is something different from data: truth.
“Most of what’s called ‘trade intelligence’ today is actually trade data. Someone gives you a tariff rate and calls it intelligence.” The gap between that number and the actual cost of getting a product to market — inclusive of duties, taxes, levies, port handling, broker fees, and regulatory compliance — can run 25 to 50 percent above factory price. That gap, he says, destroys small businesses.
KITAM’s architecture is built around a concept Oshodi calls convergent validation. Every output passes through six independent reasoning gates – Mathematics, Law, Science, History, Ethics, and Ecology. A claim has to survive all six before it reaches the user. “If the domains disagree, we surface the disagreement instead of smoothing it into a confident wrong answer.”
This matters because the failure mode of most AI systems in regulated contexts is not ignorance — it’s misplaced confidence. “In trade compliance, a confident wrong answer at customs costs more than no answer at all.”
A REAL-WORLD EXAMPLE
An Ontario food manufacturer wanted to understand the full export pathway into a European market under a preferential trade agreement. Normally, that engagement involves a customs broker, a regulatory consultant in the destination country, and potentially a trade lawyer. Budget: $15,000 to $60,000. Timeline: weeks to months.
KITAM mapped the entire pathway in a single analysis – preferential rate versus standard MFN tariff, rules of origin requirements, food safety certification, labeling, logistics, and estimated landed cost. The critical finding: the destination-country certification would take four to six months, not the 30 days published on the official government website.
“That timeline insight alone was worth the entire cost,” Oshodi says. He calls the phenomenon the gap between published regulation and practiced regulation — and closing it is, in his view, KITAM’s core value proposition.
BUILT ALONE, ON PURPOSE
Oshodi built the entire platform – the corpus, the reasoning framework, both product tiers — without external funding and without a technical team. He turned to AI eleven months ago, but the underlying architecture had been in development for years before that. “The AI is the engine. The framework is the vehicle. Most founders build the engine first and then try to design the car around it. That’s backwards in regulated industries.”
He’s candid about the challenge this creates. “The hardest part is the gap between what you’ve built and what the market can see. When you know the work works because governments and international organizations are engaging with it, but commercial traction hasn’t caught up yet — that gap is the hardest part. Not the building. The waiting.”
He also sees the upside of going it alone. “Because I built it alone, every architectural decision reflects a single coherent vision. There’s no committee compromise in the six-gate framework. No investor-driven pivot away from what matters.”
WHAT’S NEXT
KITAM is showcasing at Web Summit Vancouver 2026 through the ALPHA startup programme, with confirmed meetings with trade representatives from several countries and at least one investor meeting lined up. Oshodi’s pitch is stripped down by design. “No slides. No pitch deck theater. Just the work.”
The longer-term thesis is structural. With the CUSMA review approaching in 2026, Section 232 tariffs actively reshaping North American steel and aluminum markets, and supply chains being rewired globally, Oshodi believes the window for a trusted regulatory intelligence layer is opening fast. “The companies that win will prioritize trusted output over fast output. In trade compliance, the cost of a wrong answer is $50,000. The cost of a slow answer is an email. The market will learn to value truth and accuracy over speed.”
In 3 to 5 years, he predicts, trade intelligence will be infrastructure – as essential to an economic development office as a transit map is to a city. KITAM is building for that moment.
