AGORACOM Small-cap Investor Relations Blog

In a recent long form video interview with AGORACOM (see link at the end of this article)…

Fobi AI Inc. (TSXV: FOBI, OTC: FOBIF) CEO Rob Anson sat down to discuss closing the third and final tranche of a $1.35 million financing while under a cease trade order, the remaining steps toward relisting, and how the company is positioning itself as an enterprise-grade provider of Agentic AI (autonomous AI software “agents” that can perform tasks and workflows without constant human input).

The discussion offers investors a view into two parallel tracks: navigating regulatory and filing requirements to get back to trading, and building out a lean, productized AI platform that aims to let businesses deploy their own AI “agents” without stitching together a patchwork of third‑party tools.

AGORACOM Beyond The Mic Feature Article

March 25, 2026

Background / Context

Fobi has been under a cease trade order (CTO) since November 2024. During that period, the company:

• Generated multi‑million‑dollar revenue, according to Anson
• Appointed a new Chief Technology Officer and Chief Financial Officer
• Reduced its annual burn rate to roughly $1.1 million, helped by using its own AI across operations
• Launched and deployed FIXYR, its Agentic AI customer service and technical support platform, as previously disclosed in company materials

Despite the trading halt and broader macro uncertainty, including geopolitical conflicts, Fobi completed the third and final tranche of a $1.35 million financing. Anson said several new high‑net‑worth investors participated, many of whom were attracted less by Fobi’s historical story and more by what the company is now evolving into—an AI‑native platform and consulting business built around its own intellectual property.

Anson characterizes the past 18 months as an “exercise of resilience and focus,” with management concentrating on building infrastructure and commercial products during a period when accessing capital markets was constrained.

Key Topics Discussed

1. Financing Under a Cease Trade Order

Anson framed the completed financing as both a practical requirement and a validation point:

• Why it matters: The capital supports audit completion, regulatory processes, and relisting efforts.
• Investor mix: Some traditional groups could not participate due to the CTO, but the round attracted new investors, including high‑net‑worth individuals, who focused on Fobi’s current AI roadmap rather than its past.
• Sentiment shift: Anson described the process as “reinvigorating,” noting that the new direction—built around proprietary AI IP and consultancy—“100% resonated” with incoming investors.

He also acknowledged past missteps in capital strategy, saying he had historically been overly focused on minimizing dilution, which left the company underfunded. Going forward, he emphasized that capital decisions will prioritize what is best for the business over shorter‑term concerns.

2. Path To Relisting And Timeline

Investors pressed for clarity on when trading might resume. Anson outlined the remaining steps:

• Filings: Management’s goal is to have all outstanding financial statements, including the annuals for 2025 and Q1 and Q2 2026, completed and posted by the end of the week.
• Regulatory sequence: Once filed, the financials go to the British Columbia Securities Commission for review, then to the TSX Venture Exchange for their relisting checks.
• Control vs. uncertainty: Fobi will have its side “done, produced, and published,” after which timing rests with regulators and exchange staff.

Anson avoided giving specific dates, but said he is “a thousand percent confident” in the company’s ability to file the required financials and complete its internal tasks.

3. From Early AI Story To Agentic AI Product Suite

Central to the interview is Fobi’s transition from an early‑stage AI narrative that many investors struggled to fully understand, to a more tangible suite of Agentic AI products.

Key points:

• FIXYR and Agentic AI: Anson referenced FIXYR (often pronounced similarly to “Fixer”), Fobi’s Agentic AI platform for customer service and technical support. In a prior deployment, FIXYR handled approximately 20,000 digital tickets for an event with no frontline human intervention, according to Anson’s comments in the interview.
• Education gap: Anson acknowledged that, in the past, Fobi’s message “flew over the head of most people.” The coming phase will emphasize education—webinars, demos, and letting users directly test the AI products—to make the model easier to grasp.
• Product readiness: Unlike earlier periods when technology readiness and commercialization timing held back larger deals, Anson said Fobi now has commercial products “ready to go” that are already implemented or in implementation.

He linked this to the broader industry conversation around Agentic AI, noting that comments from leaders at OpenAI, NVIDIA, and Shopify have helped mainstream the concept of AI agents that perform end‑to‑end workflows.

4. “Deloitte Of The AI Era” – Integrated Tech Plus Consulting

Anson reiterated Fobi’s ambition to operate like a “Deloitte of the AI era,” with an important distinction:

• Traditional consulting firms typically implement other companies’ technologies.
• Fobi aims to advise on AI strategy and deploy its own IP—its Agentic AI infrastructure, FIXYR, and related tools.

He highlighted several investor‑relevant aspects of this approach:

• Single accountable provider: Clients deal with one organization rather than a collection of point solutions, vendors, and support lines.
• Integrated stack: Instead of adding another “silo” alongside systems like Salesforce, HubSpot, accounting software, and communications tools, Fobi’s goal is to provide a suite that connects these data sources and automates workflows end‑to‑end.
• Risk tolerance: Large enterprises are typically risk‑averse with new technology. Having a single, accountable counterparty and a product that has already been stress‑tested in live environments is meant to reduce perceived implementation risk.

Anson contrasted this with standalone AI tools built by individuals or small teams, which can look impressive on paper but may raise questions about security, stability, integration, and support.

5. Low‑Touch, Subscription‑Led Business Model

A recurring theme was Fobi’s focus on building a low‑touch, highly automated business model:

• Drag‑and‑drop deployment: Anson described an architecture where AI applications can be assembled “a la carte,” with components that can be dragged, dropped, and spun up with a click, similar in spirit to how integration platforms like Zapier make connections between apps—but with a stronger emphasis on autonomy and minimal manual setup.
• Low headcount, high leverage: The company has reduced its burn rate substantially and Anson believes the business can scale with a very small core team, supported by AI agents and an extended developer network.
• Revenue model: While specific pricing was not discussed in the interview, Anson referenced subscription fees and custom work, consistent with a Software‑as‑a‑Service model supplemented by consulting and integration services.

The plan is to make certain AI tools available directly via Fobi’s website in the coming weeks, giving businesses a way to test and adopt solutions without a lengthy sales cycle.

6. Competitive Landscape And Differentiation

Asked directly about competition—including the possibility of talented young developers around the world building similar Agentic AI tools—Anson framed Fobi’s differentiation along several dimensions:

• Integrated, not one‑off: Many AI products today are stand‑alone offerings that become yet another disconnected system inside a business. Fobi is positioning its products as part of a coordinated suite, with data intelligence at the core.
• Enterprise‑grade focus: Fobi is emphasizing data security, privacy, compliance, and auditability—requirements that are central for regulated or large enterprises but can be hard for small independent developers to meet.
• Track record with large organizations: Anson pointed to Fobi’s history of working with well‑known companies and the lengthy security and privacy reviews that entails, which a high‑net‑worth investor in the placement highlighted as a differentiating factor.

He also noted that competition is ultimately constructive. In earlier years, the lack of clear comparable companies actually made it harder for institutional investors to benchmark Fobi’s valuation and potential. Today, a broader AI agent ecosystem provides context and potential strategic paths, including partnership and consolidation.

7. Investor Sentiment, Shareholder Base, And Lessons Learned

The interview spent considerable time on shareholder psychology and Anson’s own evolution as a public‑company CEO:

• Sentiment cycle: Shareholders initially reacted to the CTO with anger and frustration, followed by resignation. Recent press releases have sparked a shift toward cautious optimism as investors anticipate a potential relisting.
• Support vs. criticism: Anson said he focuses his energy on shareholders who remain engaged and constructive, while recognizing that negative sentiment often peaks near market bottoms.
• Volume of outreach: Following the financing announcement, he received more than 1,200 emails, predominantly from investors expressing surprise that the company was able to navigate the regulatory process and complete the raise, and expressing renewed excitement.
• Personal commitment: Anson acknowledged that he could have pursued new ventures, but chose to continue pushing Fobi through the regulatory and operational challenges. He cited loyalty to long‑term shareholders and belief in the technology stack as key motivators.

He also emphasized that the next phase will prioritize clarity and education. Rather than a high frequency of news releases, the focus will be on ensuring that both customers and investors understand how the products work, how they are deployed, and how they generate revenue.

Strategic Significance

From an investor’s perspective, the interview highlights several strategic themes:

1. Execution During Constraint, Not Pause
   Even under a CTO, Fobi:

• Continued to generate revenue
• Reduced operating expenses materially
• Advanced its Agentic AI platform, including FIXYR
• Attracted new capital on the strength of its evolving model

1. Relisting As An Inflection Point, Not Just A Return To Status Quo
   Management presents the anticipated relisting not as a simple resumption of a prior story, but as the continuation of what Anson has described as an updated phase for the company:

• A leaner cost structure
• A clearer, productized AI offering
• A consulting‑plus‑platform model designed to generate both project and recurring revenue

1. Agentic AI As Core To The Business Model
   Agentic AI—autonomous software agents that can perform tasks such as customer service, technical support, and back‑office workflows—is presented as central to Fobi’s differentiation and cost structure, and to the value proposition it offers clients.
2. Focus On Risk‑Managed Adoption For Enterprises
   By emphasizing data control, integrated systems, and a single accountable vendor, Fobi is targeting organizations that want to adopt AI but are wary of fragmented point solutions and security risks. If successful, this positioning could help shorten sales cycles and increase deal sizes in sectors where risk management is paramount.
3. Alignment Between Narrative And Infrastructure
   Anson invoked a fishing analogy: when fishermen cannot fish, they repair their nets. During the CTO, Fobi concentrated on building infrastructure—its AI stack, product suite, and internal processes—so that, upon relisting, it can focus more on scaling deployments and revenue rather than core rebuilds.

Conclusion

The Beyond The Mic interview with Fobi AI CEO Rob Anson gives investors a detailed look at a company that has spent its time under a cease trade order tightening operations, advancing its AI platform, and securing new capital, rather than waiting on the sidelines.

Key takeaways include:

• The third and final tranche of a $1.35 million financing is complete, with new investors buying into Fobi’s Agentic AI strategy.
• Management expects to file all outstanding financials imminently, after which the relisting process rests with regulators and the TSX Venture Exchange.
• Fobi is positioning itself as an integrated AI platform and advisory firm—a “Deloitte of the AI era” that deploys its own IP, centered on products like FIXYR.
• A lean cost structure, low‑touch deployment model, and emphasis on education are intended to make the story easier for both customers and shareholders to understand and evaluate.

For investors, the next catalysts are primarily regulatory: completion and posting of financial filings, the resulting reviews, and any subsequent decisions on relisting. Parallel to that, the commercialization of Fobi’s Agentic AI suite—and the degree to which customers adopt, scale, and renew these solutions—will determine how the story translates into financial performance if and when trading resumes.

TO WATCH THE FULL VIDEO GO TO: https://www.youtube.com/playlist?list=PLfL457LW0vdKRzZ61NXeYFyshLOXxNJO2

AGORACOM Beyond the Mic is Powered by AGORACOM’s AI Content Agents.

Fobi AI Inc. Is A Client Of AGORA Internet Relations Corp. https://agoracom.com/ir/Agoracomupdates/forums/discussion/topics/796135-DISCLAIMER-AND-DISCLOSURE/messages/2399000

Most public companies slow down when a trading halt disrupts routine operations. Fobi AI did not. Even while operating under a cease-trade order that began November 1, 2024, the company continued to run the business, report revenue, and reshape how it intends to serve enterprise clients—an unusual combination of constraint and execution that has become central to its current story.

In an AGORACOM interview, Fobi President and CEO Rob Anson and Chief Technology Officer Uddeshya Agrawal described a year defined by cost discipline, operational restructuring, and the launch of a new customer-service automation platform. The conversation also outlined a broader positioning shift the company refers to as “Fobi 3.0”—a model that aims to combine enterprise advisory work with implementation under one roof.

A Company Built Around Real-Time Data and Digital Transformation

Fobi AI describes itself as an AI and data-intelligence company focused on helping organizations digitally transform using real-time applications, automation, and mobile-wallet capabilities. The company’s leadership framed this focus as increasingly relevant as more organizations attempt to modernize customer engagement, identity, and operational workflows—often across fragmented systems.

A key theme from the interview was that many organizations still lack a cohesive mobile-wallet strategy, which the company views as a practical gap in the market. That gap, the CEO suggested, is part of why the company believes its technology stack and services approach are timely.

Milestones Under Constraint: Revenue, Restructuring, and Lower Operating Costs

During the interview, Fobi’s leadership pointed to several concrete outcomes from the period:

• The company reported just under $3 million in revenue for 2024.

• It reduced its annual operating cost base to about $1.1 million, describing this as enabled by AI-driven automation and internal process changes.

• It continued building its next operating model while navigating the regulatory and audit work associated with the cease-trade order.

Anson described the last year as being consumed by legal, audit, and regulatory requirements, while the company simultaneously continued product and business development. He emphasized that management’s near-term focus was to complete the 2025 audit and proceed through the approvals required for a full revocation order and a relisting application process.

Moving Toward Trade Resumption: Audit Completion and Regulatory Steps

The interview discussed a recent announcement tied to a partial revocation order and a non-brokered private placement. Anson framed the timing as a practical step to help the company meet working-capital and process requirements connected to regulatory approvals.

He laid out a sequence of near-term milestones: completion of the audit, progression to a full revocation order, and the approvals required from the BCSC and the TSX Venture Exchange as part of the path back to trade resumption. While no fixed date was provided, he described the company as being near the end of the process, with legal and audit work in advanced stages.

“Fobi 3.0”: Combining Advisory and Implementation

A defining portion of the interview focused on what the company calls “Fobi 3.0,” which was described as a shift toward operating like an enterprise advisory partner that can also execute the solution—an approach Anson contrasted with large consulting models that often rely on third parties for implementation.

The positioning was summarized in plain terms: the company wants to advise on strategy, design the architecture, and implement programs—then measure outcomes. In the interview, this approach was compared to the enterprise footprint associated with large consulting firms, with the stated distinction that Fobi intends to be more integrated in execution rather than purely advisory.

Fixyr: A Launch Framed Around Automation and Service Continuity

The interview also highlighted the launch of Fixyr, which Fobi described as an AI-based customer service and technical support platform. The discussion avoided technical detail and instead focused on what the rollout looked like in practice and why the company built it.

The company cited performance metrics from an initial activation:

• Over 20,000 digital tickets processed

• Over 200 customer inquiries handled

• 100% uptime

• 100% satisfaction

• Zero human intervention

The use case described was tied to a large event environment where customer service volumes and staffing requirements can be difficult and expensive to manage. Anson stated that the platform enabled a shift away from a 35-person staffing requirement for that operational function, and he characterized the cost impact as roughly a 90% savings for the organizer, based on the company’s measurement and attribution.

Data Control, Privacy, and the Case for Internal Models

Another thread running through the interview was data sovereignty—control over how enterprise data is handled, where it flows, and who can train on it. Anson described privacy and confidentiality concerns as a major driver of demand among large organizations and presented this as one reason the company emphasized training its own model and building internal systems rather than relying only on general-purpose external tools.

Agrawal echoed the same philosophy in simpler language: many AI providers wrap a general model, while Fobi’s approach is to build and train its own systems for specific uses, including customer support—aiming to deliver responses based on context and history rather than generic scripts.

What Comes Next: Execution, Visibility, and Enterprise Pipeline

Looking forward, management emphasized continued disclosure of use cases and the operational benefits of what it has built, while also pointing to enterprise areas where the company is seeing interest—digital identity, finance and compliance-oriented workflows, aviation and transportation, sports and entertainment, and healthcare.

The company’s leadership also described a long-term operational goal of remaining lean—suggesting the business model is designed to scale without building a large headcount, supported by automation.

A Leaner Company Focused on Measurable Outcomes

Fobi AI’s recent narrative is unusually execution-heavy for a period dominated by regulatory, audit, and trading-halt constraints. The company’s leadership used the interview to frame a clearer operating model—one built around real-time systems, lower overhead, and a service approach that aims to connect strategy to implementation, then measure the impact.

Whether the next phase is defined by broader enterprise adoption or deeper proof through disclosed use cases, the company’s stated direction is consistent: build systems that keep operating when pressure is highest—and make the results visible, measurable, and repeatable.

https://agoracom.com/ir/Agoracomupdates/forums/discussion/topics/796135-DISCLAIMER-AND-DISCLOSURE/messages/2399000