FAILDEX失樂園
中文

Electric Sheep Robotics

The business, the turning points, and the decisions behind them.

Founded2019
Event year2025
FundingUS$25.5M
Some sections are still being researched2 / 4

Sections to complete:02 · 05

01 / WHAT IT BUILT

What the company did

Electric Sheep (Electric Sheep Robotics) was a San Anselmo, California robotics company founded in 2019 by Nag Murty (CEO) and Jarrett Herold (COO). It built AI-driven autonomous robots for outdoor work — mowing, trimming, edging, and blowing — powered by machine learning and large world models that let robots explore, map, and navigate job sites without an on-site engineer. It pursued a vertically integrated model: acquiring traditional landscaping businesses (including Westar and Caliscapes) and deploying its robotic technology to raise their efficiency and margins. The company raised $25.5 million from investors including Foundation Capital, Tiger Global, and Signia Venture Partners.

02 / FAILURE REASONS

Pending assessment

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03 / EVENT HISTORY

Events in the structured record

  1. Founded

    Nag Murty and Jarrett Herold founded Electric Sheep in California to automate outdoor work with AI-driven robotics.

  2. Seed funding

    The company raised a $4 million seed round in August 2021 from Signia Venture Partners, Foundation Capital, and Grep VC.

  3. Series A

    Electric Sheep raised a $21.5 million Series A in February 2022 led by Tiger Global, and acquired landscaping businesses Westar and Caliscapes.

  4. Acquired by Oso

    In October 2025, Oso Electric Equipment acquired Electric Sheep Robotics, combining Oso's electric powertrain technology with Electric Sheep's AI and machine-learning systems for autonomous outdoor power equipment.

04 / CONTEMPORARY REBUILD ASSESSMENT

Difficulty of rebuilding this project today

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Rebuild difficultyPending assessmentNot completed
Scoring basisNot completed
ScalabilityPending assessmentNot completed
Scoring basisNot completed

Overall assessment: Not completed

05 / CAUSAL CHAIN / AFTERMATH

Pending assessment

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