What happened
CopperPilot announced a $390,000 pre-seed funding round led by Neon Fund, with participation from US-based angel investors. Simultaneously, the company launched the first version of its AI design agent, codenamed Epsilon, which is now open to hardware engineers. The agent converts plain-English descriptions into manufacturing-ready printed circuit board (PCB) designs, integrating with existing tools like KiCad, Altium, and LTspice, as well as AI coding agents such as Claude Code and Cursor.
CopperPilot, a startup founded in October 2025 by Aditya NG, Mohit Bagur, and Anish Harsha, has raised $390,000 in a pre-seed round led by Neon Fund. The company, based in the US with a team in Bengaluru, announced the funding alongside the launch of Epsilon, its first-version for designing electronic circuit boards.
Epsilon is designed to automate the manual process of PCB design, which traditionally involves reading datasheets, selecting components, drawing schematics, and routing connections. The agent accepts plain-English descriptions of hardware requirements and generates manufacturing-ready board designs. It integrates with open-source tools like KiCad and commercial software such as Altium and LTspice, and can be invoked from AI coding agents like Claude Code, Cursor, and Codex.
The startup reports that Epsilon has processed over 6,000 design tasks, which it calls artefacts, and that weekly active users have grown 25-fold since August 2026. CopperPilot claims the agent can design an eight-layer PCB for a Raspberry Pi AI camera in about 30 minutes, compared to the industry standard of 6-15 weeks for similar tasks. The company also states that Epsilon has designed NVIDIA Jetson motherboards and drone circuit boards for manufacturing.
CopperPilot operates on a software-as-a-service model, offering a free Starter plan and paid Pro, Pro Plus, and Ultra plans for individuals, along with team and enterprise options. The company cites Dexory, a UK-based robotics firm, as a customer, with Dexory's CEO noting that the tool helps accelerate hardware iteration. The funding will be used to strengthen product research, improve agent reliability, and expand the engineering team.
The startup targets the $20.93 billion electronic design automation market, focusing on sectors like consumer electronics, renewables, robotics, and automotive. Co-founder Aditya NG, who previously worked on autonomous vehicle projects, stated that the agent is built to catch errors that standard checks miss, such as reversed serial connections, using internal benchmarks and validation tooling.
Source details: indianstartupnews.com
Why it matters
The launch addresses a significant bottleneck in hardware development, where manual schematic design and routing typically take 6-15 weeks and cost between $7,500 and $30,000. By automating component selection, schematic drawing, and board routing, CopperPilot claims to reduce this timeline to hours, potentially accelerating iteration cycles for robotics, automotive, and IoT companies. The funding supports product research, engineering improvements, and team expansion, signaling investor confidence in AI-driven electronic design automation (EDA).
Hardware design is a critical bottleneck in product development, with manual PCB design often taking months and costing tens of thousands of dollars. CopperPilot's aims to compress this timeline to hours, which could significantly reduce time-to-market for hardware startups and enterprises.
The integration of Epsilon with existing EDA tools and AI coding agents lowers the barrier to adoption, allowing engineers to use the agent within their current workflows. This approach may accelerate the shift toward AI-assisted hardware design, a sector that has lagged behind software in adopting AI automation.
The $390,000 pre-seed funding, led by Neon Fund, indicates investor interest in AI-driven EDA solutions. Neon Fund's managing partner noted that hardware design has been left behind by AI coding agents, and CopperPilot's approach addresses this gap by turning plain-English ideas into manufacturing-ready designs.
CopperPilot's claims of 25-fold user growth and 6,000+ design tasks suggest early traction, though these metrics are self-reported. The company's focus on sectors like robotics and automotive, where hardware iteration speed is crucial, positions it to capture significant market share if it can maintain design accuracy and reliability.
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What to watch next
Monitor the adoption of Epsilon by hardware teams and the accuracy of its design outputs in real-world manufacturing. Watch for further funding rounds as the company scales its engineering team and expands support for additional EDA tools. Also observe whether the claimed reduction in design time holds up in independent testing or customer case studies beyond the startup's own benchmarks.
Independent verification of CopperPilot's design accuracy and speed claims, particularly in complex multi-layer PCBs, will be crucial for broader adoption. The startup's internal benchmarks show a 78% success rate with Epsilon versus 18.6% for the base language model, but third-party testing will provide more robust validation.
Expansion of tool support beyond KiCad, Altium, and LTspice could broaden the agent's utility. Monitoring which new EDA tools or AI coding agents CopperPilot integrates with will indicate its strategic direction and market reach.
Customer case studies, especially from larger enterprises or high-stakes industries like automotive and aerospace, will help assess the agent's reliability in production environments. The company's current customer base includes individual engineers, startups, and design service providers, but enterprise adoption will be a key growth driver.
Further funding rounds and team expansion will determine CopperPilot's ability to scale its product and compete in the $20.93 billion EDA market. The company's plan to use the $390,000 for research and engineering suggests a focus on improving agent intelligence and reliability, which will be critical for long-term success.