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§ Private Profile · San Francisco, CA, USA
AI company developing frontier intelligence solutions for advanced intelligence applications, accessible on any device.
DeepGrove is a San Francisco, California-based artificial intelligence startup that develops advanced frontier intelligence models designed to be universally accessible on any consumer or enterprise device. Operating with a current scale of three full-time employees, the early-stage technology company is actively expanding its core engineering team by recruiting machine learning technical staff with a listed compensation range between $100,000 and $350,000. The enterprise is financially backed by the prominent startup accelerator Y Combinator as a participating member of its Summer 2025 investment cohort, where it currently works closely alongside primary partner Harj Taggar. Prior to establishing this specific commercial venture, the executive leadership team gained foundational academic and technical research experience at recognized institutions including the Johns Hopkins University and William & Mary. DeepGrove was officially founded in 2025 by Shayaan Emran and Edward Zhang.
DeepGrove has raised $500K across 1 funding round.
DeepGrove has raised $500K in total across 1 funding round.
DeepGrove has raised $500K across 1 funding round. Most recently, it raised $500K Seed in September 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Sep 1, 2025 | $500K Seed | — | Carao Ventures, FinTech Collective, LFG Ventures, Y Combinator, Johannes DE Waal, Sergio Fogel | Announced |
DeepGrove has raised $500K in total across 1 funding round.
DeepGrove's investors include Carao Ventures, FinTech Collective, LFG Ventures, Y Combinator, Johannes De Waal, Sergio Fogel.
DeepGrove is a frontier AI startup focused on building the next generation of efficient artificial intelligence models optimized for edge computing, enabling "Frontier Intelligence. On Any Device." Their product targets businesses that require advanced AI capabilities directly on devices rather than relying on cloud infrastructure, addressing challenges of latency, privacy, and connectivity. By delivering AI models that run efficiently on edge devices, DeepGrove aims to transform industries such as supply chain, logistics, and other sectors where real-time, on-device intelligence is critical. The company is in early stages but has demonstrated strong growth momentum by securing $3.6 million in funding from top-tier venture capitalists and participating in Y Combinator’s Summer 2025 batch[1][2][3][4].
Founded in 2025 by Shayaan Emran and Edward Zhang, DeepGrove emerged from the founders' backgrounds in machine learning and AI research, with Shayaan Emran having ties to Johns Hopkins University and William & Mary. The idea originated from the need to push AI capabilities beyond cloud dependency to devices at the edge, enabling faster and more private AI applications. Early traction includes acceptance into the prestigious Y Combinator accelerator program and raising significant seed funding, positioning DeepGrove as a promising player in frontier AI[1][3][5].
DeepGrove rides the growing trend of edge AI, which is gaining momentum due to increasing demand for real-time data processing, privacy concerns, and the proliferation of IoT devices. The timing is critical as industries seek to decentralize AI workloads from cloud servers to edge devices to improve responsiveness and reduce data transfer costs. Market forces such as advancements in hardware, rising data privacy regulations, and the expansion of connected devices create a favorable environment for DeepGrove’s technology. Their work influences the broader ecosystem by pushing the frontier of AI deployment, encouraging innovation in hardware-software co-design, and enabling new applications that were previously impractical due to cloud limitations[4][3].
Looking ahead, DeepGrove is poised to expand its product capabilities and customer base as edge computing adoption accelerates. Trends such as 5G rollout, increased IoT adoption, and tighter data privacy laws will shape their journey, amplifying the need for on-device AI. Their influence may grow beyond niche applications to become foundational in sectors like autonomous vehicles, smart manufacturing, and healthcare devices. Continued investment in model efficiency and developer tools will be key to scaling impact. DeepGrove’s mission to deliver frontier intelligence on any device aligns with the broader shift toward decentralized AI, positioning them as a significant player in the future of intelligent edge computing[1][4].