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§ Private Profile · Detroit, MI, USA
AI-powered platform for industrial sectors, capturing expert knowledge and creating video training content 10x faster.
DeepHow is a Royal Oak, Michigan-based enterprise software company that provides an artificial intelligence platform to capture expert knowledge and convert it into structured video training content for industrial sectors. The software-as-a-service platform utilizes a proprietary AI system to automatically segment and transcribe workflows, enabling faster onboarding and knowledge transfer across the manufacturing, service, and construction industries. Operating with a workforce of 51 to 100 employees, the company currently serves approximately 40,000 users and has raised $14 million in total funding. DeepHow maintains a strategic partnership with NVIDIA, having been featured in a keynote presentation by Jensen Huang, and its technology generates video content ten times faster while improving workforce performance by 25 percent. The company was founded in 2018 by former Siemens innovation leaders Sam Zheng, Patrik Matos da Silva, and Wei-Liang Kao.
DeepHow has raised $23.1M across 3 funding rounds.
DeepHow has raised $23.1M in total across 3 funding rounds.
DeepHow has raised $23.1M across 3 funding rounds. Most recently, it raised $14.0M Series A in December 2022.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Dec 1, 2022 | $14M Series A | OWL Ventures | Active Capital, B Capital Group, Eclipse Ventures, HOF Capital, Insight Partners, Left Lane Capital, Munich RE / HSB Ventures, Pareto Holdings, Qualcomm Ventures, Sierra Ventures, Stellar Capital, Cory Levy, TED Serbinski, Foothill Ventures (formerly Tsingyuan Ventures), Anshul Agarwal, Osage Venture Partners | Announced |
| Sep 1, 2021 | $9M Seed | Sierra Ventures | Active Capital, B Capital Group, Eclipse Ventures, HOF Capital, Insight Partners, Left Lane Capital, Munich RE / HSB Ventures, Pareto Holdings, Qualcomm Ventures, Stellar Capital, Cory Levy, Foothill Ventures (formerly Tsingyuan Ventures), Nate Lentz | Announced |
| Jul 1, 2018 | $120K Seed | — | Fontinalis Partners, Right Side Capital Management | Announced |
DeepHow is an AI-powered operational knowledge platform that captures expert workflows via video, automatically segments, transcribes, and structures them into searchable training modules for frontline workers.[1][2][3] It primarily serves manufacturing, skilled trades, energy, automotive, pharmaceutical, food and beverage, construction, and other industrial sectors facing skills gaps, high turnover, and retiring experts, solving knowledge transfer challenges by enabling rapid onboarding, reducing errors, and boosting efficiency—customers report 16% higher retention, 20% better equipment efficiency, 11% improved quality compliance, and 77% fewer safety incidents.[2][4][7]
Founded in 2018 and based in Royal Oak, Michigan, DeepHow has expanded globally across facilities and continents, partnering with giants like Stanley Black & Decker (from 3 to over 30 sites, aiming for 100+), and continues innovating with features like Smart Training, Smart Instructions, and Skills Management to scale knowledge and measure workforce competency.[1][3][5]
DeepHow was founded in 2018 in Detroit by ex-Siemens innovation leaders Sam Zheng (CEO), Patrik Matos da Silva (Chief Product Officer), and Wei-Liang Kao (Chief Engineer), who identified a critical gap in transferring "tribal knowledge" from retiring skilled workers to younger frontline teams in manufacturing and trades.[1][3][5] The trio's Siemens backgrounds in innovation and expertise drove the creation of their AI system "Stephanie," which captures and structures video demonstrations into interactive how-to content.[5]
Early traction came via the Techstars Mobility Accelerator in 2018, followed by a 2020 partnership with Stanley Black & Decker for upskilling, expanding rapidly from pilot sites.[5] Leadership evolved with Sivakumar "Siva" Lakshmanan as CEO, bringing AI, cloud, and scaling experience from Antuit.ai (acquired by Zebra Technologies).[2][3]
DeepHow rides the skills gap crisis in manufacturing, exacerbated by retiring baby boomers, labor shortages, and high turnover, where millions of experts exit with irreplaceable know-how.[1][5] Timing aligns with AI democratization and multimodal models enabling practical industrial applications, as workforce readiness becomes a production bottleneck amid Industry 4.0 demands for rapid upskilling.[5][9]
Market forces like hiring challenges and regulatory pressures for safety/quality favor DeepHow, influencing the ecosystem by standardizing knowledge transfer—expanding from U.S. manufacturing to global energy and tech, it empowers frontline teams, reduces SME burnout, and scales expertise without heavy documentation.[3][8] This positions it as a key enabler in human-AI collaboration, training workers rather than automating them away.[5]
DeepHow is poised to dominate AI-driven industrial training as skills shortages intensify, with expansions in task management, multimodal instructions, deeper analytics, and Smart Training features driving adoption across new factories and global sites.[1][4] Trends like AI quizzing for competency measurement and partnerships scaling to customer bases (e.g., Stanley's ecosystem) will amplify impact, potentially capturing broader sectors like hospitality and field services.[2][5]
Its influence may evolve into a full operational AI companion, quantifying ROI on knowledge to attract more Fortune 500s, solidifying DeepHow as the go-to for preserving expertise before it "walks out the door"—ensuring competitive edges in a talent-scarce world.[8]
DeepHow has raised $23.1M in total across 3 funding rounds.
DeepHow's investors include Owl Ventures, Active Capital, B Capital Group, Eclipse Ventures, HOF Capital, Insight Partners, Left Lane Capital, Munich Re / HSB Ventures, Pareto Holdings, Qualcomm Ventures, Sierra Ventures, Stellar Capital.