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Reduced Energy Microsystems

Summer 2015Inactive

Building the lowest-power silicon for embedded deep learning and…

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RE

Reduced Energy Microsystems

Summer 2015Inactive

Building the lowest-power silicon for embedded deep learning and…

Save
Company details

Reduced Energy Microsystems is building the most power-efficient silicon for embedded computer vision to bring visual intelligence to a whole new range of devices. By combining proprietary asynchronous resilient technology with a custom neural network architecture, REM chips will handle state-of-the-art inference and traditional vision workloads in a tiny power envelope. REM makes augmented reality, body-worn cameras, and autonomous robots smarter than ever before.

Location
San Francisco, CA, USA
Founded
2011
Category
Artificial Intelligence
YC Directory Pageremicro.com
Founders
  • E.
    eleazar .
    Founder/Head of Software
    LinkedIn
  • DH
    Dylan Hand
    Founder/Lead Hardware Engineer
    LinkedIn
  • WK
    William Koven
    Founder
    LinkedIn

Reduced Energy Microsystems is building the most power-efficient silicon for embedded computer vision to bring visual intelligence to a whole new range of devices. By combining proprietary asynchronous resilient technology with a custom neural network architecture, REM chips will handle state-of-the-art inference and traditional vision workloads in a tiny power envelope. REM makes augmented reality, body-worn cameras, and autonomous robots smarter than ever before.

Location
San Francisco, CA, USA
Founded
2011
Category
Artificial Intelligence
YC Directory Pageremicro.com
Founders
  • E.
    eleazar .
    Founder/Head of Software
    LinkedIn
  • DH
    Dylan Hand
    Founder/Lead Hardware Engineer
    LinkedIn
  • WK
    William Koven
    Founder
    LinkedIn

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On this page
  • Overview
  • Founding Story
  • Timeline
  • What They Built
  • Market Position
  • Target Customers
  • Market Size
  • Competition
  • Business Model
  • Post-Mortem
  • Primary Cause: Structural Capital Insufficiency for Semiconductor Development
  • Secondary Cause: The Asynchronous Chip Startup Failure Mode Is Well-Documented
  • Tertiary Cause: The Edge AI Market Moved Faster Than REM Could
  • Structural Factor: The Software-Startup Playbook Does Not Apply to Semiconductor Companies
  • The Late Pivot: Necessary but Possibly Too Late
  • Key Lessons
  • Sources

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Overview

Reduced Energy Microsystems (REM) was a San Francisco-based fabless semiconductor startup founded in 2014 by William Koven, Eleazar Vega-Gonzalez, and Dylan Hand. [1] The company built ultra-low-power chips for embedded machine learning inference at the edge — targeting applications like police body cameras, security systems, drones, and augmented reality devices — using asynchronous circuit design, a decades-old academic approach that eliminates the master clock governing conventional chips. [2] REM entered Y Combinator's Summer 2015 batch as the accelerator's first chip startup. [3]

REM failed because asynchronous chip development — despite genuine technical merit — requires capital-intensive, multi-year development cycles that a $2M seed-funded startup could not sustain long enough to reach commercial scale. The edge AI inference market it was targeting simultaneously attracted well-funded incumbents and specialists who commoditized the space before REM could ship at volume.

Crunchbase lists REM as permanently closed as of August 21, 2020 — roughly six years after founding and approximately three years after its last documented public activity. [4] No acquisition, acqui-hire, or public post-mortem was announced. Koven subsequently joined Galois, Inc. as a research engineer before becoming a chip lead at Meta; Vega-Gonzalez went on to found Coil, a builder AI startup that entered YC's Winter 2023 batch. [5] [6]

REM co-founder profile photo
One of REM's three co-founders, as listed on Y Combinator's Bookface platform — the team entered YC S15 as the accelerator's first-ever chip startup, a distinction that signaled both novelty and the absence of any institutional playbook for semiconductor companies at YC.
REM co-founder profile photo
A second REM co-founder on Bookface. The three-person founding team combined Intel industry experience, USC Viterbi PhD research, and CMU engineering credentials — an unusually deep technical pedigree for a seed-stage hardware startup.
REM co-founder profile photo
The third REM co-founder. After the company closed in 2020, the team dispersed to Meta's chip division and a second YC startup — suggesting the wind-down was orderly rather than catastrophic, and that the underlying talent was validated even as the company was not.

Image 1 / 3

Founding Story

Reduced Energy Microsystems emerged from a specific convergence of academic research, industry frustration, and a window in the semiconductor market that the founders believed incumbents were structurally unable to exploit.

William Koven, the CEO, came to the founding with direct industry experience. He held a B.S. in Engineering from Harvey Mudd College, where he was a Clay-Wolkin Fellow, and had spent years at Intel before co-founding REM. [7] [8] His time at Intel gave him a close-up view of why large semiconductor companies resist architectural change: the organizational and toolchain investments in synchronous design are so deep that alternatives — even technically superior ones — get rejected on institutional grounds. "Asynchronous is kind of a dirty word at Intel," Koven later said. "It's just too different from what they do as an organization. They've thrown out a lot of technologies like this because they're different and scary." [9]

Dylan Hand was a Ph.D. student at USC's Viterbi School of Engineering, where he worked in the E2S2C (Energy-Efficient Systems, Circuits, and Chips) lab — the academic home of asynchronous VLSI research at USC. [10] The lab had a prior commercialization lineage: TimeLess Design Automation, an asynchronous EDA startup spun out of the same research group, had been acquired by Fulcrum Microsystems, which was itself acquired by Intel in 2011. [11] That chain of acquisitions suggested that asynchronous chip IP had real value — but also that the path to standalone company success in this space was historically difficult.

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