Companies

Kebra

kebra.com

Kebra automates field-service documentation and back-office workflows with AI employees and a company-wide operational memory.

HQSan Francisco, California, United States
Employees1-50
Profile 1mo agoJobs checked 3d ago
Specialization
Not classified
Business
Software Applicationsand 1 more business values
  • Agent Tooling
Market
Home Services
Ecosystem
Applications
Customers
Not classified
More details
Organization type
Commercial Company
Ecosystem
Applications
Business
Software Applications, Agent Tooling
Specialization
Not classified
Market
Home Services
Customers
Not classified
Delivery models
Not classified
Revenue models
Not classified
Listing status
Not classified
Latest equity round
Pre Seed
Reported funding amount
Not classified

About

Kebra builds an AI-native operating platform for field-service companies, capturing job details and automating the back-office work that follows. Its product combines field capture, AI employees for notes, warranty claims, parts ordering, invoicing, and follow-up, plus a Company Brain that preserves technician expertise across existing systems.

Market

Kebra competes in AI-enabled field-service management and back-office automation for home and commercial trade contractors. It differentiates from conventional all-in-one field-service platforms by operating as an AI-native workflow layer that captures field information, integrates with existing systems, and uses computer-use and voice agents to complete downstream work while building a persistent Company Brain.

Target Customers

Kebra targets field-service companies, especially HVAC, plumbing, electrical, and similar trade businesses whose technicians generate incomplete job records and whose back offices need automation. The likely buyers are owners/operators or service-operations and back-office leaders; the available evidence does not specify a firm employee-size cutoff.

At a Glance

Problem

Field-service companies still depend on technicians to document jobs accurately across fragmented field-service-management software, CRMs, calls, texts, and job reports. When serial numbers, photos, diagnoses, or parts used are missing, office staff must chase technicians, reconstruct the job, and manually complete warranty claims, parts orders, customer updates, and invoices. The result is back-office labor, slower cash collection, missed warranty reimbursement, and lost follow-up sales opportunities.

The killer use case is an HVAC, plumbing, or electrical job that has just closed: Kebra turns the technician’s field record into the administrative and commercial work needed to finish the job before the truck leaves. Its website illustrates the economics with a warranty recovery, parts ordering, invoicing, and a replacement opportunity generated from one repair.

Product / Service

Kebra is an AI-native operating layer for field-service businesses. Its Field Capture workflow collects equipment details, photos, serial numbers, diagnoses, work completed, and parts used; detects missing information; contacts the technician by phone or text; and identifies potential sales opportunities. Its back-office AI employees then use computer-use and voice agents alongside the company’s existing software to write job notes, file warranty claims, order parts, prepare invoices, and follow up on estimates.

The product also creates a queryable “Company Brain” containing equipment history, past repairs, technician decisions, and the expertise of the company’s best technicians. Kebra therefore aims to improve both immediate throughput and institutional memory without requiring a company to replace its existing systems. The current delivery model appears sales-led: Kebra offers a free, no-credit-card-required 30-minute walkthrough and demo.

Market

Kebra competes in B2B field-service operations software, specifically the emerging category of AI automation for technician documentation and back-office work. Its initial target is HVAC and adjacent trades such as plumbing and electrical. The adjacent incumbent and comparison set includes ServiceTitan, Jobber, Housecall Pro, FieldEdge, Workiz, and mHelpDesk, although Kebra differentiates by automating the work after the field visit and integrating with the systems a service company already uses rather than presenting itself simply as another dispatch suite.

Kebra is an early-stage, YC-backed company in the Summer 2026 cohort. It says it is working with field-service companies across Florida, Pennsylvania, and California, and its YC profile lists it as active, founded in 2026, with a two-person team. The public materials reviewed do not disclose revenue, paying-customer counts, pricing, or a funding amount, so the appropriate characterization is early commercial traction with revenue status unreported—not a proven scaled business and not definitively confirmed pre-revenue.

Founders & Leadership

Luca HadifeFounder
Co-Founder and CEO
Mohamed HosnyFounder
Co-Founder and CTO

Funding History

2026-06
Pre-Seed (YC standard deal)$500K

Y Combinator

Recent News

2026-08-12product_launch
Kebra launches AI platform for field-service companies

Kebra launched on Y Combinator’s Launch YC as a field-service AI platform. Its AI employees capture field work and turn it into notes, warranty claims, parts orders, and follow-up sales opportunities, with initial work across Florida, Pennsylvania, and California.

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Business Model

Kebra’s best-supported model is demo-led B2B software sales to field-service companies, selling access to its AI operating platform. The public materials gathered do not disclose whether fees are subscription-based, usage-based, per-job, or transaction-based.

Products

Field Capture: captures equipment details, photos, serial numbers, diagnoses, work completed, parts used, missing information, and sales opportunitiesBack Office AI Employees: generate job notes, file warranty claims, order parts, prepare invoices, and follow up on sales opportunities and estimatesCompany Brain: a queryable operational knowledge layer containing equipment history, repairs, technician decisions, and institutional expertise

Tech Stack

Multimodal AIComputer-use AI agentsVoice agentsAI employees for back-office automationIntegrations with existing field-service softwareCompany Brain knowledge layer

Competitors

ServiceTitan
BuildOps
Housecall Pro
Jobber
FieldEquip