Meet the Fiscal AI team: Ryan Henderson, head of research. Ryan Henderson joined the team in November 2023, just before the company transitioned from Stratosphere to FinChat and eventually to Fiscal.ai. It was a team of nine at the time, which meant everyone had to wear multiple hats and take on additional roles and responsibilities. Challenging in the moment, but looking back, it gave everyone a greater sense of ownership over the outcomes. Before that, Ryan had spent about four years running a small investment partnership for family and friends while hosting an investing podcast and it was through that work that he came across Stratosphere.io (what the Fiscal.ai terminal used to be called), and immediately fell in love with the platform. Q: What excites you most about working at Fiscal.ai? The sky really is the limit when it comes to demand for data in finance. The market data industry currently generates more than $40 billion in revenue annually, and that doesn't even include ancillary services like indices, ratings, etc. Fiscal.AI is at a unique point in time where AI has both leveled the playing field for data aggregation and created a new tidal wave of demand. I genuinely believe Fiscal.AI has the team, platform, and partners to capitalize on the opportunity. Q: What's your favourite part of Fiscal.ai's data products? In the early days, company-specific Segment & KPI data (think users, stores, deliveries, etc) was the biggest differentiator for Fiscal.ai. Most data providers weren't willing to track those metrics, at least not to the depth and breadth that Fiscal.AI were. To this day, that remains my favorite data product that Fiscal.AI offer. Those granular, company-specific metrics tell the true story of a business and can provide much more insight than the standard headline numbers. Q: Tell Fiscal.AI about yourself outside of work. I grew up in Washington state as the middle of 3 brothers, and now live in Austin, Texas with my fiancé. Fiscal.AI love roadtripping and soaking in the Texas sun, and when I'm not researching stocks, I enjoy watching and playing soccer whenever possible. Q: What's a story from inside the team that captures what it feels like to work here? One of my favourite moments at the company is when Fiscal.AI first launched the Fiscal.ai Data Feed. I publish a lot of equity research content for the company. That means I'm usually reading earnings reports the moment they come out hoping to find some sort of insight, metric, or datapoint that others might find valuable. Since Fiscal.AI relied on outside data providers for a long time, that meant I had to wait days before the data was actually available on Fiscal.ai. By the time the data would finally come in, it was already stale. When Fiscal.AI first launched the Fiscal.ai Data Feed, I specifically remember reading Nvidia's Q2 '26 report and before I even finished the press release, every single number was live on the Fiscal.ai Terminal. The entire income statement, balance sheet, cash flow statement, and even segments & KPIs. All updated within minutes. I was blown away. Fiscal.ai is a financial research and data platform built for investors, developers, and institutions. Through its research Terminal and modern APIs, Fiscal.ai provides access to high-quality financial data that powers applications, research workflows, and AI systems. The company has raised $13M in venture funding and serves thousands of customers worldwide. Contact Fiscal.AI. A member of its team will reach out shortly.

Nof1 partners with Fiscal.ai to power its financial AI research platform. When you're building AI models that learn from financial markets, data quality matters. Nof1 is an AI research company that uses financial markets as a training environment for its models. To do that effectively, they need access to earnings reports and market data as quickly as possible. Before working with Fiscal.ai, earnings data was arriving too slowly to keep their training systems running effectively. Delays in receiving reports meant slower research cycles and less efficient model training. The demand for what Nof1 is building is clear and people are taking notice: the company is already approaching its beta launch with more than 100,000+ users on the waitlist. The challenge: earnings data delays. Nof1's models learn from real-world market activity. Earnings reports are one of the most important data sources they use, but accessing that information quickly and reliably wasn't easy. Many traditional data providers can take hours, or even days, to process and distribute earnings data after it is released. For a company training AI models on financial markets, those delays matter. Nof1 needed a solution that could deliver accurate earnings data within minutes of a company reporting results. Why Nof1 chose Fiscal.ai. Fiscal.ai stood out for two reasons: * Fast earnings data delivery * A developer-friendly API that was easy to integrate With Fiscal.ai, earnings reports become available within minutes of being released, allowing Nof1 to feed fresh market information directly into its training systems. The integration process was straightforward, allowing the team to spend less time managing data infrastructure and more time building models. "We're a research lab focused on financial markets, and we need reliable access to critical market data," said Jay Azhang, Founder & CEO, Nof1. "When we first learned about Fiscal.ai, we were trying to solve for retrieving fast and accurate earnings reports, which had previously been an issue. Thankfully, Fiscal.ai allowed us to integrate these quickly and intuitively, which has been critical for our product." A simple integration. Fiscal.ai's API documentation and source-linked data made it easy for Nof1's engineering team to get started. Instead of managing multiple data providers and dealing with inconsistent update times, Nof1 now has a single source for the financial data their systems depend on. What began with earnings data has since expanded into a broader partnership, with Nof1 using Fiscal.ai across multiple parts of its platform. Supporting the next generation of financial AI. As more AI companies use financial markets to train and evaluate models, access to reliable data becomes increasingly important. Fiscal.ai is helping make that possible by providing fast, and accurate financial data through modern APIs. "Nof1 is building some of the most exciting applications of frontier AI technology and financial markets. We're thrilled to have Fiscal be an input and always excited to see what they come out with next." -Braden Dennis, CEO, Fiscal.ai "Fiscal.ai's speed and accuracy removed a critical constraint in our training pipeline," said Jay Azhang, Founder & CEO, Nof1. "When you're training models to understand markets, you need data you can trust, delivered fast. Fiscal delivers both." About Fiscal.ai. Fiscal.ai is a financial research and data platform built for investors, developers, and institutions. Through its research Terminal and modern APIs, Fiscal.ai provides access to high-quality financial data that powers applications, research workflows, and AI systems. The company has raised $13M in venture funding and serves thousands of customers worldwide. About Nof1. Nof1 is an AI research company focused on training models using financial markets. By combining large-scale reinforcement learning with real-world market data, Nof1 is building AI systems designed to better understand complex financial environments. The company is preparing for launch with more than 100,000 users on its beta waitlist. Contact Fiscal.AI. A member of its team will reach out shortly.

Fiscal.ai receives Government of Canada investment to advance ai-powered financial data. Fiscal.AI is thrilled to share that Fiscal.ai has been selected to receive $1.5M in funding from the Government of Canada through the Federal Economic Development Agency for Southern Ontario (FedDev Ontario). This investment was announced on May 25, 2026, as part of a broader commitment of nearly $16.5 million for 13 Greater Toronto Area companies leading the charge in artificial intelligence innovation. Being recognized among this group is a meaningful milestone for its team, and a validation of the work Fiscal.AI has been building toward since day one. The funding will support its development of an AI-powered platform that transforms unstructured global corporate filings into structured, high-quality financial data, making institutional-grade insights accessible to analysts, developers, and data platforms of all sizes. At Fiscal.ai, Fiscal.AI believe the future of financial research depends on breaking down the barriers between raw, messy data and the clean, reliable signals that drive smart decisions. This investment accelerates its ability to do exactly that, faster and at greater scale. Toronto has long been a hub for world-class AI research and talent, and Fiscal.AI is proud to call it home. As part of Canada's Regional Artificial Intelligence Initiative, this funding reinforces the government's commitment to supporting Canadian innovators as they bring new technologies to market. Fiscal.AI is grateful to FedDev Ontario for this vote of confidence, and Fiscal.AI look forward to continuing to build tools that put institutional-quality financial data within reach for everyone. You can read the full Government of Canada announcement here.