Canadian Fintech Innovations: AI-Powered Crypto Sentiment App, Financial Planning Tools, and Enterprise AI Adoption

In the rapidly evolving Canadian fintech landscape, AI continues to drive advancements in cryptocurrency analysis, financial advisory services, and insurance operations. Recent developments highlight how local and global technologies are converging to deliver more accurate, efficient, and accessible financial tools.

Guavy Unveils iOS App for AI-Driven Crypto Market Sentiment Tracking

Calgary-headquartered Guavy, a cryptocurrency intelligence platform established in 2016, has rolled out its dedicated iOS mobile application, making sophisticated AI-based market insights accessible to everyday investors. An Android edition is slated for release in early 2026.

The app leverages a powerful large language model to process and evaluate vast datasets—hundreds of millions of points drawn from roughly 350 diverse channels, including news outlets, blogs, social media, and professional feeds. This multi-source approach assigns weighted importance to inputs, generating clear bullish, bearish, or neutral signals while mitigating individual source biases, as emphasized by founder and CEO Donna Tilden.

Guavy’s institutional API has already attracted UK-based hedge funds and growing interest from family offices, serving as a supplementary data layer rather than a standalone trading trigger. The new consumer-facing app targets retail participants, offering features like risk-profile matching, entry/exit timing guidance, a real-time fear and greed index, customizable watchlists, alerts, and tiered subscriptions (free basic access alongside a premium Plus plan at $59.99 annually for enhanced capabilities).

Looking ahead, Tilden aims to secure additional funding to broaden coverage to tokenized real-world assets and securities. This aligns with industry momentum, such as the New York Stock Exchange’s initiatives for 24/7 tokenized trading of equities and ETFs. Guavy prioritizes seamless integration, positioning it as an attractive option for wealth managers seeking to incorporate advanced sentiment data into client portfolios with minimal implementation hurdles.

VibePlan Secures Key Enterprise Adoption in Financial Planning Sector

Vancouver’s Customplan Financial Advisors Inc. has become the inaugural major client for VibePlan, adopting its specialized Canadian-focused financial planning and analytics solution.

Originally introduced as Evad AI in 2024, VibePlan delivers an intelligent system equipped with behavioral analytics, structured advisory pathways, and client engagement features to strengthen advisor-client connections. Led by president and CEO Dave Faulkner—a veteran entrepreneur behind earlier ventures like FP Solutions and RazorPlan—the platform emphasizes practical, relationship-oriented planning tools tailored to the Canadian market.

This partnership marks a significant milestone, validating VibePlan’s value proposition for scaling advisory practices through AI-enhanced workflows and insights.

Manulife Integrates Adaptive ML for Optimized Small Language Models

Leading Canadian insurer Manulife has partnered with New York-based Adaptive ML to incorporate reinforcement learning-based fine-tuning capabilities into its company-wide AI infrastructure.

Adaptive ML’s platform specializes in refining compact, specialized language models (SLMs) via reinforcement learning techniques. This method enables models to iteratively improve through simulated decision-making, balancing rewards and penalties to achieve superior performance in targeted domains.

Manulife plans to apply these tuned models to streamline operations, including automated underwriting assessments and sales support guidance. According to Global Chief AI Officer Jodie Wallis, combining broad large language models with precisely calibrated specialist models promises enhanced precision alongside substantial cost savings.

These updates underscore Canada’s growing role in AI-infused fintech, from democratizing crypto intelligence to empowering advisors and optimizing enterprise processes.