Loading organizations...
§ Private Profile · 2755 Great America Way, Suite 135, Santa Clara, California 95054, US
Semiconductor startup developing 5G Base Station-on-a-Chip and converged AI platforms for telecom infrastructure, enabling software-defined 5G.
Based in Santa Clara, California, EdgeQ is a semiconductor startup that develops a 5G base station on a chip, allowing customers to deploy and customize 5G networks through software on an open RISC-V architecture. The company provides a converged connectivity and artificial intelligence platform designed to accelerate cloud migration to the network edge, supporting small cells, macro cells, and Open RAN systems. EdgeQ supplies its customizable chipsets to global original equipment manufacturers and device makers, establishing strategic partnerships with recognizable industry entities such as Radisys, Amazon Web Services, and Google Cloud. Operating with approximately 130 employees, the enterprise has raised roughly $126 million in total venture funding across multiple rounds, which includes a $75 million Series B financing backed by investors like Threshold Ventures. EdgeQ was founded in 2018 by former Qualcomm executive Vinay Ravuri.
EdgeQ has raised $126.0M across 2 funding rounds.
EdgeQ has raised $126.0M in total across 2 funding rounds.
EdgeQ has raised $126.0M across 2 funding rounds. Most recently, it raised $75.0M Other Equity in April 2023.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Apr 19, 2023 | $75M Venture Round | — | ClearSky, EDBI, Irongrey, Phaistos Investment Fund, ST Engineering, Strategic Development Fund | Announced |
| Nov 1, 2020 | $51M Series A | Threshold Ventures | Fusion Fund, Jerry Yang | Announced |
EdgeQ has raised $126.0M in total across 2 funding rounds.
EdgeQ's investors include ClearSky, EDBI, Irongrey, Phaistos Investment Fund, ST Engineering, Strategic Development Fund, Threshold Ventures, Fusion Fund, Jerry Yang.
EdgeQ is a Santa Clara-based technology company founded in 2018 that develops the world's first fully programmable 5G Base Station-on-a-Chip, integrating 4G/5G connectivity, AI, NPU, CPU, and timing into a single, software-customizable silicon platform.[1][2][4][5] It serves telecom operators, cloud providers, and enterprises by enabling small cells, macro cells, residential broadband, private 5G networks (e.g., CBRS), Open RAN, and mission-critical applications like URLLC, solving challenges in deployment cost, power efficiency, scalability, and hardware flexibility.[1][4][6] The platform supports dynamic spectrum management, interference mitigation, ultra-low latency, and field-upgradable 3GPP standards from Release 15/16 to 17/18, powering products like ECHO 401/405 and BATS for defense and industrial use, with strong growth evidenced by awards such as 2023 GLOMO CTO Choice and 2022 Mobile Breakthrough for small cell innovation.[1][5]
EdgeQ was founded in 2018 in Silicon Valley by executives with deep expertise from Qualcomm, Intel, and Broadcom, including CEO Vinay Ravuri (25+ years in compute, cloud, ML, and 5G; former Qualcomm VP), CTO Hari Subramanian (25 years in modem development; led Snapdragon architecture at Qualcomm and baseband at Intel/Broadcom), and Chief Architect Adil Kidwai (20+ years in 4G/5G/WiFi at Intel).[2][5] The idea emerged from the need to converge connectivity and AI at the edge in a programmable way, addressing rigid hardware limitations in traditional base stations amid the 5G rollout. Early traction came from production-ready 4G/5G PHY layers, RISC-V architecture for open ecosystems, and backing by investors like Threshold Partners, Fusion Fund, and AME Cloud Ventures, positioning it for rapid scaling in private and Open RAN markets.[1][2][4]
EdgeQ rides the private 5G and Open RAN wave, enabling edge data economies where AI-driven connectivity meets cloud-native infrastructure amid exploding demand for resilient, low-latency networks in enterprise (CBRS indoor cells), telecom (fixed wireless broadband), and defense/industrial automation.[1][6] Timing is ideal post-3GPP Rel.16, with market forces like spectrum availability (CBRS), vRAN adoption, and geopolitical pushes for US-based supply chains favoring its programmable silicon over vendor-locked hardware from Huawei/Ericsson/Nokia.[1][4] It influences the ecosystem by democratizing 5G via software (open tools, no rip-and-replace), accelerating edge AI workloads, and fostering innovation in India's 5G-AI SoC development, reducing barriers for non-telco players to build custom networks.[5][7]
EdgeQ is poised to capture share in the $100B+ private 5G/Open RAN market through its AI-5G convergence, with next steps including Rel.17/18 upgrades for 5G-Advanced, expanded BATS-like defense wins, and global small-cell deployments.[1][4] Trends like edge AI proliferation, 6G R&D, and sovereign networks will amplify its momentum, potentially evolving it into a key enabler for hyperscale edge platforms—tying back to its mission of software-democratized 5G at the data edge.[5][6]