AGORACOM Small-cap Investor Relations Blog

In a recent long form video interview with AGORACOM (see link at the end of this article), Dr. Gio Roberti, CEO of AISIX Solutions Inc., discussed the company’s three-year, $780,000 wildfire catastrophe modeling contract with a major Canadian insurance provider. The company was selected through a competitive, invite-only Request for Proposal process in which multiple providers were evaluated based on technical merit and operational readiness.

AGORACOM Beyond The Mic Feature Article Issued On Behalf of AISIX Solutions Inc.

May 12, 2026 10:30 AM EST

Contract Details and Structure

The contract represents $260,000 per year over a minimum three-year term, with structured milestone-based payments tied to delivery acceptance. AISIX will deploy its wildfire catastrophe modeling platform to support underwriting, portfolio risk management, and strategic decision-making for one of Canada’s largest insurers — a company managing a portfolio of approximately 20 million insured locations.

“Having this Canadian validation will help moving forward all the conversations we are having with international partners for European model, US model, and so on,” Dr. Roberti explained during the interview. The contract also positions AISIX to expand its footprint beyond Canada, with active discussions underway with global consulting firms, engineering companies, and asset managers seeking wildfire intelligence.

For investors evaluating emerging AI companies, this agreement delivers signed revenue, competitive validation, and proof that the technology works at enterprise scale.

Understanding What AISIX’s AI Actually Does

While many companies claim AI capabilities, AISIX’s technology addresses a specific, high-value problem: helping insurers understand the probability of wildfire-related losses across their portfolios under current and future climate conditions.

“We help them understand the probability of losses given wildfire across their portfolios and according to current and future climatic conditions as climate change is increasing fire in Canada,” Dr. Roberti explained. “These organizations want to understand the exposure today and the exposure next year, in the next five years, in the next 10 years.”

The technology enables insurers to:

• Identify risk concentration to avoid overexposure in high-probability wildfire regions
• Price insurance policies accurately based on quantified risk
• Direct mitigation investments to locations where they will have the greatest impact
• Comply with evolving climate risk disclosure requirements

For a major insurer managing billions in potential exposure, this intelligence translates directly into risk reduction and capital efficiency.

Fort McMurray’s 10-Year Legacy and the Growing Wildfire Problem

The timing of this contract comes just after the 10-year anniversary of the Fort McMurray wildfire, which destroyed 2,500 homes and buildings and evacuated nearly 100,000 people in May 2016. That disaster marked a paradigm shift in how Canada views wildfire risk.

“Until 10 years ago, we can say the fire wasn’t one of the major catastrophes in Canada and in the world. But then with Fort McMurray, really the paradigm shifted,” Dr. Roberti noted. “Society understood that fire is a major catastrophe and causes a lot of losses in terms of money and lives.”

The wildfire threat has only intensified since then. The 2025 fire season impacted multiple communities that AISIX had previously identified in its January 2025 analysis of the top 10 small municipalities at highest wildfire risk. One of those communities used AISIX’s data to secure funding for preventive burns, fuel thinning, and expanded firefighting capabilities.

Wildfires are no longer seasonal. The January 2025 Los Angeles fires demonstrated that extreme fire conditions can occur year-round. For insurers, this means continuously evolving risk exposure that traditional models struggle to capture.

The Science Behind the Moat: Why AISIX Can’t Be Replicated Overnight

When asked how AISIX stays ahead in a world where large language models like ChatGPT and Claude are growing rapidly, Dr. Roberti made a critical distinction: “Doing very precise scientific work requires something more than large language models.”

“Cloud can help you code, can help you write documentation or build an application, but you need to know what you need help from Cloud for,” he explained. “If you don’t know how to model physical phenomena like fire, Cloud cannot do it for you.”

AISIX’s wildfire modeling integrates multiple specialized components:

Ignition Modeling – Calculating the probability of human-caused and lightning-caused fires based on historical patterns and environmental conditions

Fuel Modeling – Understanding how different tree species burn under varying temperature, wind, precipitation, and humidity conditions

Topography Integration – Accounting for how fire spreads faster on steeper slopes and how terrain influences fire behavior

Weather Modeling – Analyzing historical weather patterns and projecting future conditions using climate change scenarios aligned with international standards (Shared Socioeconomic Pathways used by the Intergovernmental Panel on Climate Change)

Fire Growth Engine – Running Cell2Fire2, an advanced fire growth simulation software that models how fires spread across landscapes based on all the above factors

Monte Carlo Framework – Executing more than 30 million different fire scenarios to capture natural variability and generate probabilistic burn maps

“We model a lot of different scenarios because the future is very uncertain. There’s a lot of variability,” Dr. Roberti said. “We need to do a lot of iteration to make sure that we capture this natural variability of fire.”

This is not a model that can be assembled by prompting a large language model. It requires years of scientific collaboration — AISIX has studied models and methods from scientific literature and the Canadian Forest Service approach — and  has developed a deep expertise in wildfire physics, climate modeling, and probabilistic simulation.

Scaling to 20 Million Locations: Proving Enterprise Readiness

The contract requires AISIX to support portfolio runs of up to 20 million locations, a scale that demonstrates the platform’s commercial readiness.

“Being able to scale up to that volume really shows that we are not just at the MVP level, but we are ready to deliver,” Dr. Roberti emphasized. (MVP refers to minimum viable product, the early-stage version of technology used to demonstrate proof of concept.)

The insurer will receive three structured deliverables:

1. Baseline and climate scenario wildfire hazard data covering all of Canada
2. Location-level and portfolio-wide loss metrics, including Annual Average Loss (AAL) and Probable Maximum Loss (PML)
3. Reinsurance integration to support net loss metrics and capital management

The initial hazard data delivery is targeted within 15 calendar days of contract start, with subsequent phases building out full loss modeling and reinsurance functionality.

Two Products, Two Time Horizons

AISIX has developed its platform to serve two distinct use cases, each addressing different decision-making needs.

Long-Term Forecasting is designed for strategic planning. A bank issuing a 25-year mortgage needs to understand wildfire probability over the life of that loan. An insurer writing multi-year policies needs to know cumulative risk exposure. This is the product central to the newly announced contract.

Short-Term Forecasting provides real-time wildfire alerts and early warnings as fires approach properties. This operational intelligence helps emergency managers, municipalities, and property owners respond to imminent threats.

AISIX recently launched a consumer-facing application https://firescore.aisix.ca/, where individuals can purchase a fire risk report for $20 and access short-term early warning capabilities.

Both products are powered by the same underlying science but serve different stages of risk management: strategic planning versus tactical response.

Validation Through Results

One challenge in evaluating predictive technology is that successful prevention can make it difficult to measure impact. If AISIX’s model predicts high wildfire risk and a community invests in mitigation measures that prevent a disaster, did the model work?

“In a probabilistic world, when the disaster doesn’t happen, it’s hard to show that you helped the disaster not to happen,” Dr. Roberti acknowledged.

However, the company has demonstrated predictive accuracy. In January 2025, AISIX released a report identifying the top 10 small municipalities in Canada at highest wildfire risk. During the 2025 fire season, three of those communities were impacted by wildfires — validating the model’s ability to identify high-risk areas before fires occur.

More importantly, one community used AISIX’s analysis to secure funding for preventive measures, demonstrating how predictive intelligence can drive proactive action.

Growing Market Demand and Expansion Plans

The insurance sector represents AISIX’s primary market, but demand is expanding across multiple industries.

“We have large consulting companies, global companies, that are asking for the services because they have similar service providers for other countries, but they don’t have anybody for Canada,” Dr. Roberti said. “We are in conversation with these global consulting companies and also engineering companies as well.”

Potential customers span:

• Insurance companies (property and casualty insurers, reinsurers)
• Consulting firms (risk advisory, climate strategy)
• Engineering firms (infrastructure planning, multi-hazard assessments)
• Asset managers (real estate portfolios, infrastructure funds)
• Banks and financial institutions (mortgage underwriting, project financing)
• Government agencies (emergency management, regional districts, municipalities)

“Fire is a problem across the board and impacts all levels of society,” Dr. Roberti noted.

Internationally, AISIX is in discussions to develop wildfire models for the United States, Europe, and South America. The company’s technical framework is designed to be geographically scalable.

“We need to grow organically, but the path is to become a global wildfire data provider,” Dr. Roberti stated.

Why This Contract Changes the Conversation

For companies in early-stage negotiations, one question consistently arises: “Are we the first one or is there anybody else using it?”

“I say, you know, we are talking with a lot of people, but they are sort of a little shy to commit,” Dr. Roberti explained. “But now finally someone realized that we are the best and they committed, and so I think this will give that extra validation that these other companies were looking for.”

This is the nature of enterprise sales in regulated industries. Organizations are risk-averse and prefer to see validation before committing. By winning a competitive RFP process with a major Canadian insurer and executing a multi-year, multi-million-dollar contract, AISIX has crossed that threshold.

The contract also demonstrates recurring revenue potential. Unlike one-time consulting projects, this is a three-year minimum engagement with annual payments of $260,000. If AISIX delivers value — and given the scale of wildfire losses, the value proposition is clear — renewal and expansion become likely.

The Climate Tailwind No One Wants But Everyone Must Manage

The unfortunate reality is that wildfire risk is increasing. Fire seasons are lengthening, fire intensity is growing, and more regions previously considered low-risk are now facing exposure.

“As you said, even now fire season is getting longer. It’s not just a few months during the summer, it’s year round,” Dr. Roberti noted. “It’s a problem that is here and society at large is understanding that we need to do something about it.”

Insurance companies are losing more money to wildfire claims. Governments are spending more on firefighting and disaster response. This creates growing demand for companies like AISIX that can help quantify, manage, and mitigate climate-related risks.

“For companies like us where we can help, there is a growing demand for our services. And we have seen it year after year,” Dr. Roberti said.

This is not a growth story built on hype. It is a response to a measurable, escalating problem that is costing billions of dollars annually and will only intensify as climate patterns shift.

Investor Takeaway: From Technology to Traction

AISIX Solutions has moved from proving its technology works to demonstrating market demand for it. The $780,000 three-year contract with a major Canadian insurer provides:

• Revenue visibility through a multi-year, milestone-based payment structure
• Competitive validation by winning an invite-only RFP against multiple providers
• Scalability proof by supporting portfolio analysis of 20 million locations
• Market credibility that will accelerate conversations with other potential customers in Canada and internationally

In an AI landscape filled with promises and pilots, AISIX has secured a signed contract with a major enterprise customer solving a high-value problem. For investors evaluating emerging AI companies with commercial traction, this contract represents measurable progress in AISIX’s commercialization efforts.

TO WATCH THE FULL VIDEO GO TO: https://youtu.be/zzmnmlhSuUE?si=ApzRuzAntYA1PPr_

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