In the world of public markets, few events are as disruptive—or as fatal—as a cease-trade order. Most companies slow to a crawl. Many never recover.
Fobi AI, however, appears to be an exception.
During a recent in-depth interview, Fobi AI President and CEO Rob Anson, joined by Chief Technology Officer Uddeshya Agrawal, detailed how the company used its time under a trading halt not to retreat, but to rebuild—emerging with a leaner cost structure, a redefined enterprise strategy, and a proprietary artificial-intelligence platform now operating at scale.
The discussion revealed a company approaching a pivotal moment: the completion of its 2025 audit, a partial revocation order already in hand, and preparations underway for a full trading resumption early in the new year.
A Rare Feat Under a Cease-Trade Order
Fobi AI has been under a cease-trade order since November 2024. Yet, unlike most companies in similar circumstances, it continued to operate—and even expand its capabilities.
According to the interview, the company generated just under $3 million in revenue in 2024 while simultaneously restructuring its entire operation. By applying AI-driven automation internally, Fobi reduced its projected annual operating costs to approximately $1.1 million, a figure Anson described as nearly unheard of for a public company.
This financial discipline coincided with the company’s transition to what it now calls Fobi AI 3.0—a model designed to unify consulting, implementation, and proprietary technology under one platform.
From Consultant to Solution Provider
At the core of Fobi’s evolution is a strategic repositioning.
Rather than acting solely as a technology vendor or data provider, Fobi is positioning itself as a full-stack enterprise partner—one that advises on digital strategy and delivers the solution at the same time.
Anson likened the approach to global consulting firms such as Deloitte or Accenture, but with a crucial distinction: Fobi builds and deploys its own technology.
“We’re not just handing over a plan,” Anson explained. “We’re architecting it and implementing it at the same time.”
This approach has resonated with enterprise clients, particularly those frustrated by fragmented systems, lengthy integrations, and rising costs.
The Role of Proprietary AI
That strategy is powered by Fobi’s internal AI architecture, built under the leadership of CTO Uddeshya Agrawal.
Agrawal, one of India’s youngest certified cybersecurity experts and an early Web3 builder, described how Fobi diverged from much of the AI industry by developing its own focused language models rather than relying solely on third-party systems.
“Most AI companies are renting someone else’s intelligence,” Agrawal said. “We built ours.”
Rather than attempting to create a general-purpose system, Fobi trained AI models for specific enterprise functions—allowing for tighter control, improved accuracy, and greater data privacy.
This architecture forms the backbone of Fobi AI 3.0 and supports applications across identity, transactions, data intelligence, and automation.
Fixer: A First Glimpse of Autonomous Operations
The interview coincided with the launch of Fixer, Fobi’s new agentic AI customer-service and technical-support platform.
In its first disclosed deployment, Fixer processed:
- Over 20,000 digital tickets
- More than 200 customer inquiries
- 100% uptime
- Zero human intervention
- Reported 100% satisfaction
For the client—a large-scale event organizer—the implications were immediate. A support operation that previously required roughly 35 staff members was replaced with an autonomous system, reducing costs by an estimated 90% while improving response speed and service quality.
“Real-time service isn’t a luxury anymore,” Anson noted. “It’s the expectation.”
Why This Matters to Enterprises
The Fixer use case highlights what Fobi believes is a broader enterprise shift: automation not as a replacement for value creation, but as an enabler of it.
By removing repetitive, low-value tasks, companies can redeploy human capital toward growth initiatives rather than overhead. At the same time, Fixer provides something executives increasingly demand—clear measurement.
Fobi’s platform tracks cost savings, performance, and return on investment in real time, giving decision-makers immediate visibility into results.
Preparing for a Return to Market
From a corporate perspective, the interview also clarified Fobi’s near-term regulatory path.
Anson confirmed that:
- The company is nearing completion of its 2025 audit
- A partial revocation order has been secured
- A non-brokered private placement is underway to meet working-capital requirements
- Applications for full revocation and relisting are being prepared
If approvals proceed as expected, management anticipates a return to trading in early January.
The ability to raise capital during a trading halt, Anson suggested, reflects investor confidence in both the relevance of Fobi’s technology and the work already completed behind the scenes.
Target Markets and Growth Strategy
Fobi’s technology is designed to be horizontal, but management identified several areas of active demand:
- Digital identity and credentialing
- Financial services and regulatory compliance
- Aviation and transportation
- Sports, entertainment, and large-scale events
- Healthcare and public-sector applications
Rather than scaling headcount, Fobi intends to scale through automation, licensing, and joint ventures—maintaining a small core team while expanding reach through its platform.
Looking Ahead to 2026
Both executives framed 2025 as a year of rebuilding—and 2026 as a year of visibility.
Agrawal described success as reaching a point where Fobi’s technology becomes indispensable to daily operations. Anson echoed that sentiment, pointing to growing enterprise interest in future-proofing budgets and reallocating capital from legacy systems to AI-driven infrastructure.
“Most companies don’t survive a cease-trade order,” Anson said. “We used it to build.”
A Rebuild, Not a Return
Fobi AI’s story over the past year is not one of simple recovery. It is a case study in operational discipline, strategic refocusing, and long-term execution under pressure.
As the company approaches its anticipated return to the public markets, it does so with:
- A significantly lower cost base
- A proprietary AI platform already operating at scale
- A consulting-plus-solution model aligned with enterprise demand
- Early proof points in autonomous operations
For investors and business leaders alike, Fobi’s evolution suggests that the most important work sometimes happens out of view—and that when the curtain lifts, the result may be something entirely new.
