A team of former Big Tech engineers is taking aim at one of the most antiquated corners of global commerce. Amari AI just emerged from stealth with AI-powered software that helps customs brokers navigate the labyrinth of shifting trade policies - a problem that's gotten dramatically worse under Trump's tariff whiplash. The startup's agentic AI platform automates compliance workflows that currently rely on spreadsheets and manual research, potentially saving brokers thousands of hours per year while reducing costly errors.
The customs brokerage industry has a problem that's gotten exponentially worse since Trump returned to office. Every time a new tariff drops or a trade rule shifts - which happens almost weekly now - thousands of brokers scramble to manually update their compliance processes. Amari AI thinks it has the answer.
The startup, founded by engineers who previously built systems at major tech companies, is rolling out custom AI-powered software that automates the grunt work of customs compliance. Instead of brokers spending hours digging through Federal Register updates and cross-referencing HTS codes, Amari's agentic AI does it for them - parsing policy changes, flagging affected shipments, and suggesting compliance strategies in real-time.
"Customs brokers are drowning in regulatory complexity," according to TechCrunch's exclusive coverage. The timing couldn't be more critical. Trump's on-again, off-again tariffs on Chinese imports, sudden Section 232 investigations, and unpredictable trade negotiations have turned what was already a complex job into a daily crisis management exercise.
The market opportunity is massive. The customs brokerage industry handles over $3 trillion in U.S. imports annually, yet most firms still operate on legacy software from the 1990s or cobbled-together Excel workflows. Amari's approach is to build custom AI agents for each broker's specific needs - one might specialize in automotive parts classification, another in pharmaceutical compliance.
What makes Amari's tech interesting is the agentic AI architecture. Rather than just surfacing information, the system can actually take actions - automatically reclassifying products when tariff codes change, generating protest filings when duties seem incorrect, or routing urgent compliance issues to human experts. It's the kind of workflow automation that OpenAI has been teasing with GPT-4's function calling, but applied to a vertical that desperately needs it.
The competitive landscape is thin. Most customs software providers like Descartes and Amber Road focus on basic transaction processing, not intelligent automation. A few startups like Flexport have tried to modernize freight forwarding, but customs compliance remains stubbornly old-school. Amari is betting that AI can finally crack the code.
The startup's go-to-market strategy focuses on mid-sized brokers who handle 5,000 to 50,000 shipments annually - big enough to drown in manual work, small enough to need cost-effective solutions. Early pilots reportedly show brokers cutting classification research time by 70% and reducing compliance errors by half.
But the real test will be keeping up with policy chaos. Trump's trade team has proven unpredictable, announcing tariff changes via Truth Social posts that catch even government agencies off-guard. Amari's AI needs to parse not just official policy documents but also informal signals, leaked drafts, and political tea leaves. That's a tall order for any system.
The broader implications extend beyond customs. If Amari can prove that agentic AI works for compliance-heavy logistics workflows, it opens the door for similar automation in legal discovery, healthcare billing, and financial auditing. These are all industries where humans currently do mind-numbing document review that AI could theoretically handle.
Investor appetite for enterprise AI remains strong despite the broader tech downturn. Microsoft, Google, and Amazon are all racing to embed AI into business workflows through Copilot, Gemini for Workspace, and Bedrock respectively. Vertical-specific players like Amari could capture niches too specialized for the giants to pursue.
The question is whether customs brokers - a notoriously conservative industry - will trust AI with compliance decisions that can trigger huge fines if wrong. A single misclassification error can cost importers hundreds of thousands in back duties and penalties. Amari will need airtight accuracy and clear liability frameworks before brokers bet their businesses on it.
Amari AI is betting that chaos creates opportunity. As Trump's trade policies whipsaw between protectionism and dealmaking, the customs industry faces unprecedented complexity that legacy software can't handle. If the startup can deliver AI that's both fast enough to track policy changes and accurate enough to stake compliance on, it could modernize a massive industry stuck in the analog era. The bigger question is whether this is just the opening act for agentic AI taking over white-collar workflows that have resisted automation for decades. Customs brokers are about to find out if machines can finally master their trade.
