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MoBagel has raised $3.0M across 1 funding round.
Key people at MoBagel.
MoBagel has raised $3.0M in total across 1 funding round.
MoBagel provides an artificial intelligence and machine learning platform designed to streamline AI development and deployment. Its core offering includes a no-code environment enabling rapid creation of AI models and specialized AI Agents, notably for supply chain optimization. The platform focuses on unifying disparate data, enhancing forecasting accuracy, and mitigating operational risks for various business functions.
The company was founded in 2009 by Adms Chung, Iru Wang, and Ken Lin, individuals with backgrounds from Stanford and UC Berkeley. Their collective insight centered on the potential for democratizing access to advanced AI capabilities, recognizing the need to empower a broader range of users beyond specialized data scientists to leverage machine learning for business advantage.
MoBagel’s solutions are utilized by data teams, domain experts, and business stakeholders seeking to integrate AI into their operations without extensive coding. The company’s vision is to elevate businesses by providing intelligent assistance, enabling organizations to build AI effectively and fostering increased efficiency and productivity across their enterprises.
MoBagel has raised $3.0M in total across 1 funding round.
MoBagel's investors include Adeyemi Ajao, Foothill Ventures (formerly Tsingyuan Ventures), Horizon 3 Venture Studio, Peterson Ventures, Practical Venture Capital, TSVC Capital, UpHonest Capital.
Key people at MoBagel.
MoBagel is a Silicon Valley-based AI startup founded in 2015 (with some sources citing 2009 roots in IoT predictive analytics) that builds an enterprise AI platform, including Decanter AI (an AutoML tool with over 100 machine learning algorithms), generative AI agents, and solutions for supply chain, demand forecasting, and business automation.[1][2][3] It serves data teams, enterprises, and executives in industries like manufacturing, finance, telecom, retail, healthcare, and e-commerce—empowering over 11,000 brands including SoftBank, Coca-Cola, ChungHwa Telecom, and Fortune 500 firms by solving complex data challenges such as predictive modeling, anomaly detection, inventory optimization, and real-time decision-making.[2][3][6] The company's mission is to democratize AI, enabling non-experts to build AI-driven solutions quickly via AutoML, time series forecasting, and generative tools, fostering "Build AI Together and Beyond" while driving growth through Gartner recognition and an upcoming IPO.[1][2][3]
MoBagel's growth momentum is strong, with proven impact like boosting a Fortune 500 medical firm's demand forecast accuracy from 60% to 90% in one month, enhancing delivery predictions for top food platforms, and securing partnerships with SAP, Microsoft, and Intel—positioning it as a key Gartner-listed AI/ML vendor.[3][6]
MoBagel emerged from a 2014 Salesforce US$1 million hackathon in San Francisco, where three Taiwanese engineers teamed up with Iru Wang (now COO and co-founder), winning a prize that became their first cash investment and sparked the company.[1] Founded in 2015 by AI scientists from Stanford and UC Berkeley (with earlier IoT roots possibly in 2009), it established headquarters in Silicon Valley to empower data teams with AI-driven tools.[2][3][5][7] Iru Wang's entrepreneurial journey—from naive startup dives to co-founding MoBagel—humanizes the story; she emphasizes self-belief, evolving from hackathon serendipity to a platform tackling real-world issues like COVID-19 vaccinations and supply chain equity.[1] Pivotal early wins included Microsoft Accelerator selection (top 1.89% of 1,000 startups), Plug and Play IoT prizes, and clients like New Balance, building traction across the US, Japan, China, and Taiwan.[3]
MoBagel rides the generative AI and AutoML wave, capitalizing on exploding demand for accessible AI amid data explosion and supply chain disruptions—timing amplified by post-COVID needs for resilient forecasting and automation.[1][6][8] Market forces like enterprise AI adoption (Gartner trends) and LLM integration favor its no-code platform, bridging tech-savvy data scientists and decision-makers in fragmented industries.[3][4] It influences the ecosystem by enabling "AI marketplaces" for developers, fostering data-driven equity (e.g., fair resource allocation), and partnering with giants like SAP/Microsoft—accelerating AI democratization beyond Big Tech.[1][2][6]
MoBagel is poised to evolve into a full AI marketplace for developer apps and an IPO contender within years, amplifying its role as the "most trusted AI partner" for data-driven firms amid rising GenAI demand.[1] Trends like agentic AI, real-time DataOps, and supply chain resilience will propel growth, potentially expanding C-suite agents and global reach. Its hackathon-born grit positions it to shape democratized AI, tying back to empowering anyone to "Think with AI" for smarter, fairer decisions.
MoBagel has raised $3.0M across 1 funding round. Most recently, it raised $3.0M Seed in April 2017.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Apr 1, 2017 | $3M Seed | — | Adeyemi Ajao, Foothill Ventures (formerly Tsingyuan Ventures), Horizon 3 Venture Studio, Peterson Ventures, Practical Venture Capital, Tsvc Capital, UpHonest Capital | Announced |
