Former Impinj CEO Bill Colleran tapped to lead Seattle AI coding startup Adronite

Bill Colleran, a veteran technology executive who previously led Impinj and sold Innovent Systems to Broadcom, has joined Seattle-based AI coding startup Adronite as CEO.

Edward Rothschild, who co-founded Adronite in 2023 and served as its first CEO, is transitioning to chief technology officer, where he’ll continue leading the company’s product development, including its Adronite Context Engine and Codistry AI code generation tool, according to a news release.

The 15-person company raised a $5 million Series A led by Gatemore Capital Management earlier this year. The platform supports cloud, on-premises and air-gapped deployments, targeting midmarket companies and regulated industries.

Colleran has more than 35 years of experience in semiconductor and enterprise technology. He grew Impinj into a market leader in RFID technology, raising more than $100 million in equity financing. He left the company in 2014 and was succeeded by co-founder Chris Diorio. 

He was also CEO of Innovent Systems, which developed the world’s first CMOS Bluetooth chip and was acquired by Broadcom for approximately $500 million. 

More recently he founded lidar company Lumotive and led Seattle SaaS startup AnswerDash. He holds a Ph.D. in electrical engineering from UCLA and a J.D. from Harvard Law School. 

“Throughout my career, I’ve seen technology industries transformed when complexity becomes manageable,” Colleran said in a statement. “Software development now faces a similar challenge. AI can generate code at an incredible pace, but understanding complex software systems remains difficult for both developers and AI.”

Adronite’s platform aims to help developers and AI agents understand entire codebases rather than working file by file — a challenge especially acute for midmarket companies managing legacy systems without the tooling available to large enterprises. 

The company says its approach can cut token consumption by up to 40%, a claim that could resonate as engineering teams grapple with rising AI costs.