Company Intelligence

Kebra

Field technicians are bad at documenting their jobs, which paralyzes the back office. Kebra ends that. We guide technicians in the field and capture the exact job details the back office needs. Before the truck leaves…

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Quick Facts

  • Founded 2026
  • Headquarters San Francisco, United States
  • Country United States
  • Industry AI in Enterprise Software
  • Company Type Early
  • Status Active
  • Website Official site
  • Last Reviewed Aug 2026

Executive Summary

Field technicians are bad at documenting their jobs, which paralyzes the back office. Kebra ends that.

We guide technicians in the field and capture the exact job details the back office needs. Before the truck leaves the driveway, Kebra turns every job into complete notes, warranty claims, parts ordered, and follow-up sales opportunities.

Over time, every job feeds your Company Brain, so your best technicians’ expertise never leaves the company.

Kebra will power the first $100M-a-year field service company with no back office.

Why It Matters

Make your field service company AI-native

Recent Developments

  1. 2026 Company founded

    Kebra was founded in 2026 per the company profile source on file.

    Source

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Industries

AI in Enterprise Software Open industry

Field technicians are bad at documenting their jobs, which paralyzes the back office. Kebra ends that.

We guide technicians in the field and capture the exact job details the back office needs. Before the truck leaves the driveway, Kebra turns every job into complete notes, warranty claims, parts ordered, and follow-up sales opportunities.

Over time, every job feeds your Company Brain, so your best technicians’ expertise never leaves the company.

Kebra will power the first $100M-a-year field service company with no back office.

Company information is based on publicly available sources and is reviewed periodically. If you represent this company and would like to request a correction, contact Brel.

Request a correction if you represent this company or believe information is inaccurate.

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