Loading organizations...

§ Private Profile · Vancouver, BC, Canada
AI soft skills assessment platform for high-volume hiring, reducing interview time by over 80% and mis-hires to 1%.
HiringBranch, based in Montréal, Canada, provides an AI-powered soft skills assessment platform for high-volume hiring. The company's proprietary Soft Skills AI uses conversational voice and chat assessments to evaluate candidates, achieving 98% precision in evaluation and reducing mis-hire rates to as low as 1%. Their platform serves major corporations like Bell Canada, helping to reduce interview time by over 80%. HiringBranch recently secured CAD 5 million in Series A funding in December 2024, demonstrating 330% customer growth over the past two years, and operates within Crédit Mutuel Equity's portfolio, which manages €4 billion in funds. Key investors include Crédit Mutuel Equity, Export Development Canada, and Anges Québec. HiringBranch was founded in 2022 by Stéphane Rivard and Patricia Macleod.
HiringBranch has raised $6.5M across 2 funding rounds.
HiringBranch has raised $6.5M in total across 2 funding rounds.
HiringBranch has raised $6.5M in total across 2 funding rounds.
HiringBranch's investors include CIBC Innovation Banking, Crédit Mutuel Equity, Framework Venture Partners.
HiringBranch has raised $6.5M across 2 funding rounds. Most recently, it raised $2.5M Other Equity in April 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Apr 23, 2025 | $2.5M Venture Round | CIBC Innovation Banking | — | Announced |
| Dec 1, 2024 | $4M Series A | — | Crédit Mutuel Equity, Framework Venture Partners | Announced |
HiringBranch is a Canadian technology company that builds an AI-powered platform for assessing soft skills through conversational simulations, targeting high-volume hiring in contact centers and customer-facing roles.[1][2][3][4] It serves enterprises like Bell Canada, Infosys, and Fortune 1000 companies, solving inefficiencies in traditional hiring—such as long processes, bias, inconsistency, and high mis-hire rates—by automating evaluations of speaking, writing, language, and multitasking skills via real-life chat, email, and call scenarios.[1][2][4] The platform guarantees performance improvements, including 20% higher first-call resolution, faster speed-to-hire, 15% better customer satisfaction, up to 80% reduction in interview time, mis-hire rates as low as 1%, and 400% bad hire reductions for some clients.[1][2][4][6] With 330% customer growth over two years and a recent $5M funding round, HiringBranch demonstrates strong momentum in scaling its Soft Skills AI™.[2]
HiringBranch evolved from LearningBranch, initially focused on training soft skills in academic and institutional settings, later expanding to BPO centers in India and the Philippines.[3] Founders Patricia Macleod and Stéphane Rivard, co-CEO, identified a key pain point: BPO clients needed not just training but automated hiring tools to assess existing soft and language skills for large-scale mandates, marking the true start of HiringBranch.[1][3] In 2020, as LearningBranch, it received funding from Canada’s National Research Council to develop AI soft skills evaluation using years of proprietary performance data from linguistics and machine learning.[3] The company rebranded to HiringBranch, refined its proprietary language model to 98% accuracy (outperforming public LLMs at 64%), and passed independent bias audits under New York City Local Law 144.[2][3][5]
HiringBranch rides the skills-based hiring trend, shifting from resumes and interviews to demonstrated abilities amid talent scarcity and AI-driven recruitment.[2][3][4][6] Timing aligns with rising AI regulations and demand for unbiased, scalable tools in high-volume sectors like contact centers, where soft skills predict performance better than credentials.[1][3][5] Market forces favoring it include explosive growth in AI HR tech, post-pandemic remote hiring needs, and BPO expansion in Asia/Latin America, amplified by its $5M funding for global penetration.[2] It influences the ecosystem by setting a "golden standard" for soft skills AI, powering top-of-funnel AI recruiters, and enabling Fortune 50s to save millions while fostering fairer opportunity paths.[2][4][5][6]
HiringBranch is poised to dominate soft skills assessment as enterprises adopt no-interview, AI-first hiring at scale, leveraging its accuracy edge and audit-backed fairness.[2][3][5] Next steps include North/Latin America, Asia, and UK expansion via partnerships, plus ongoing algorithm enhancements for new roles and industries.[2][3] Trends like multimodal AI, regulatory scrutiny, and workforce mobility will shape it, potentially evolving its influence toward talent development beyond hiring—unlocking "immeasurable" skills data for strategic decisions.[2][3] This data-driven pioneer, born from training roots, continues transforming high-volume talent acquisition into a fast, precise science.[1][3]