Participated · Seed · Jun 2026

Floqer develops an AI-driven autonomous customer knowledge base that combines information from more than 100 third-party sources and internal company systems—including CRM, communications platforms, and sales records—to profile existing and potential customers. The system uses large language models and agentic AI to analyze structured and unstructured data, surface patterns and buying signals, and help users craft improved go-to-market plans. Co-founded in October 2024 by Shivam Mahajan and Zaaheda Islam, the Halifax-based startup has a team of eight and counts customers such as Wise, AngelList, Pulumi and Perplexity. Financially, Floqer reported 8x revenue growth year to June and annual recurring revenue exceeding $1 million. Following the funding, the company’s primary focus is enhancing its autonomous knowledge-base product, which the founders say is already functional and capable of identifying previously hidden customer patterns.

Participated · Seed · May 2026

Dessn provides a design tool that runs customers' codebases in the cloud without setup by abstracting away runtime dependencies, enabling designers to work directly within a production environment. The product is intended for teams with an existing codebase who want to iterate on live projects rather than for ground-up ideation. Dessn says this approach eases handoffs to developers and supports sharing via public links. The company has early customers including Color, Wispr, and Mercury and offers a free tier (one repository compile and five prompts per week) plus paid plans starting at $39 per user per month. Dessn plans to add integrations such as Slack and meeting notetakers while explicitly avoiding a Figma integration. Founded by Gabriella Hachem and Nim Cheema about two years ago, the company currently has four employees and intends to remain small while hiring a few additional team members.

Led · Seed · May 2026

Slate provides embedded lending infrastructure purpose-built for Canadian platforms, allowing partners to plug in and offer financing in days rather than months. The company handles underwriting, compliance, capital and risk for platforms that lack bank-level compliance and long build timelines. Slate was founded by Scott Elliot, who has over a decade of experience in risk, and co-founder Devin Picciolini. The startup was created in response to repeated denials faced by Canadian platforms seeking to offer lending and benefits from shifts toward open banking in Canada. The article highlights Slate on the Vancouver startup stage, underscoring its Canada-focused go-to-market, but does not disclose revenue, users, or other operating metrics. Future plans and specific use of the recent pre-seed proceeds were not detailed in the coverage.

Participated · Seed · Jan 2026

Mave provides an AI-powered platform built specifically for real-estate brokerages and agents, delivering a suite of "departments" staffed by industry-trained virtual experts. These tools help users grow their brands, automate back-office workflows, and elevate client service at scale. The company, led by founder and CEO Raz Zohar, has begun integrating its solution with myAbode’s nationwide network of 10,000+ realtors, expanding its reach across Canada. Newly secured capital will be directed toward accelerating engineering hires and broadening the product roadmap. To strengthen market insight, Mave has appointed several industry advisors from Houseful, Compass, Carson Dunlop, Sotheby’s International Realty Canada, and Meta AI. Staircase Ventures’ Janet Bannister is also joining the board, providing additional strategic guidance. Although operating metrics such as revenue or user counts have not been disclosed, the company is positioning itself as an infrastructure layer for brokerages seeking to leverage AI at scale.

Led · Seed · Nov 2025

Founded in May 2024, TISC has built a transformer-based platform that learns what to remember and when to retrieve it from live, multi-modal data streams, surfacing precise context in milliseconds. The system merges retrieval and reasoning so users or AI agents can make evidence-backed calls without multiple follow-up queries, enabling use cases ranging from play-calling in sports to command-and-control in defence. Early validations include deployments with a Caribbean national basketball team, several NCAA Division 1 games, and an active rollout with the Women’s Premier Basketball Association, where the technology will ultimately power an AI assistant coach. Since inception the company has hired a founding machine-learning researcher and assembled a Bay Area– and Toronto-based founding team. Future plans center on expanding professional and collegiate sports pilots, adding adjacent verticals like emergency response, and recruiting additional top ML talent. TISC positions itself as the “retrieval layer” that eliminates guesswork in time-critical scenarios, replacing hunches and static playbooks with real-time insights. The company’s growth to date has been funded by a US$2.1 million pre-seed round that will bankroll hiring, pilot expansion, and relationship building in its target markets.