Carvis.AI

AI-powered diagnostic tool for auto repair shops leveraging proprietary data.

Website: https://carvis.ai

Cover Block

Field Value
Name Carvis.AI
Tagline AI-powered diagnostic tool for auto repair shops leveraging proprietary data
Headquarters San Francisco, California, United States
Founded 2024
Stage Pre-Seed
Business Model B2B
Industry / Vertical Automotive aftermarket software
Technology Type AI / Machine Learning
Geography North America
Growth Profile Venture Scale
Funding Label Pre-Seed (amount undisclosed)
Lead Investor Trucks Venture Capital

Links

Summary and Signal

Carvis.AI is a 2024-vintage San Francisco startup building an AI estimating and diagnostics layer for independent auto repair shops. The company describes its core product as a system that turns repair orders into actionable intelligence, helping shops produce faster and more consistent estimates for customers [carvis.ai]. The company is led by co-founder and CEO Jay Warida [Crunchbase]. Carvis.AI has raised an undisclosed pre-seed round led by Trucks Venture Capital [Crunchbase]. Over the next 12 to 18 months, the questions worth tracking are whether Carvis can demonstrate paid shop deployments at scale, whether it can defend a proprietary repair-order dataset against incumbent shop management systems, and whether the team expands beyond its founder-led core.

Data Accuracy: YELLOW -- Founder, HQ, founding year, and lead investor are confirmed across Crunchbase, PitchBook and the company website; round size, customer count, and team depth are not disclosed publicly.

Taxonomy Snapshot

Axis Value
Stage Pre-Seed
Business Model B2B SaaS (auto repair shops)
Industry / Vertical Automotive aftermarket / shop software
Technology Type AI / Machine Learning applied to repair-order data
Geography North America (HQ San Francisco)
Growth Profile Venture Scale
Founding Team Jay Warida (CEO, co-founder)
Funding Pre-Seed, lead Trucks Venture Capital, amount undisclosed

Company Overview

Carvis.AI was founded in 2024 and is headquartered in San Francisco, California [PitchBook][Crunchbase]. The company positions itself publicly as an "AI Technician for Auto Repair Shops", with a stated focus on converting the millions of repair orders flowing through the independent shop ecosystem into structured pricing and diagnostic intelligence [Crunchbase][carvis.ai]. Crunchbase lists the company in the 1 to 10 employee band [Crunchbase].

The founding story centres on Jay Warida, who is identified as CEO on Crunchbase and as a co-founder on third-party contact databases [Crunchbase][RocketReach]. The company website's team page carries a third-party endorsement framing the problem: "Auto repair shop pricing has historically been more guesswork than science. By turning millions of repair orders into actionable intelligence, Carvis is giving their partners clarity they've never had before" [carvis.ai].

The single confirmed financing milestone to date is an undisclosed pre-seed round led by Trucks Venture Capital [Crunchbase]. Investors should note that several similarly named entities exist in adjacent automotive categories, including a parking lot management company also called Carvis [Crunchbase] and a personal car expenses assistant of the same name developed by LANARS [LANARS]; these are distinct businesses from the San Francisco Carvis.AI covered here.

Data Accuracy: GREEN -- Founding year, HQ, CEO, and lead investor confirmed across Crunchbase, PitchBook, and the company website.

The Product and the Stack

Carvis.AI applies machine learning to repair-order data to generate estimates, diagnostics, and maintenance guidance for independent auto repair shops [carvis.ai][MOGE]. The company's positioning line on Crunchbase is "AI Technician for Auto Repair Shops" [Crunchbase]. A live product surface exists at app.carvis.ai, indicating the product is past pure concept stage and is being delivered as a hosted web application [carvis.ai]. The company also publishes a testimonials page, suggesting at least some pilot or early-paying shops are in production [carvis.ai].

The differentiation claim rests on proprietary repair-order data rather than on a novel model architecture [StartupSeeker][carvis.ai]. The implied thesis is that the value of an AI estimator in this category is determined less by the underlying language or vision model and more by the volume, structure, and labelling of historical repair-order outcomes the system can train and ground on. The company has not publicly disclosed dataset size, source partnerships, or coverage by vehicle make and model.

Data Accuracy: YELLOW -- Product positioning corroborated by company site, MOGE, and Crunchbase; technical architecture, dataset scale, and integration footprint are not disclosed publicly.

Market Research and Opportunity

The independent auto repair shop is one of the larger pools of small-business software spend in the United States that has not yet fully consolidated onto a modern AI-native stack. The U.S. Bureau of Labor Statistics estimates roughly 770,800 automotive service technicians and mechanics employed in the United States as of May 2023 [U.S. Bureau of Labor Statistics]. The Auto Care Association's Auto Care Factbook places the total U.S. auto care industry at well over $400 billion in annual end-user spend [Auto Care Association].

Sizing reference Figure
U.S. auto service technicians employed ~770,800 (May 2023)
U.S. auto care end-user spend $400B+ annual

Three demand drivers are worth flagging. First, the diagnostic complexity of modern vehicles, particularly hybrids, EVs, and ADAS-equipped models, has risen sharply. Second, technician supply remains tight relative to demand, which raises the marginal value of any tool that compresses estimate-writing time. Third, the broader move of vertical SaaS into AI-native estimating and quoting suggests buyer readiness for AI-assisted pricing tools is no longer purely theoretical.

Data Accuracy: YELLOW -- Market sizing references are drawn from named third-party sources covering the analogous category; Carvis.AI has not published a company-specific TAM disclosure.

The Competitive Field

Carvis.AI is entering a category with two well-funded incumbents in shop management software and a long tail of estimating tools, and its positioning rests on being an AI-native estimating layer rather than a full shop OS.

Company Positioning Stage / Funding
Carvis.AI AI estimating and diagnostics for repair shops Pre-Seed, Trucks VC lead
Shopmonkey End-to-end shop management OS Series C, $75M raised in 2021
Tekmetric Cloud-based shop management system Growth-stage, Series B led by Bregal Sagemount

Shop management incumbents (Shopmonkey, Tekmetric, Mitchell 1 Manager SE, Protractor, AutoLeap) own the system of record at the shop. Data and content providers (Mitchell 1, ALLDATA, Motor) own the labour-time guides and OEM service information. AI-native challengers are betting that an estimating workflow rebuilt around a learned pricing model produces a better answer than the rules-and-lookup approach baked into incumbent systems.

Opportunity

If Carvis.AI executes against the brief implied by its product and its lead investor, the prize is the default AI estimating layer for the long tail of independent U.S. auto repair shops.

Scenario What happens
Embedded inside the shop OS Carvis becomes the AI estimating engine licensed by one or more shop management incumbents
Direct-to-shop network Carvis signs thousands of independent shops directly on a low-ACV subscription
Fleet and warranty data partner Carvis becomes the pricing reference layer for fleet operators, extended warranty providers, and insurers

Data Accuracy: YELLOW -- Opportunity framing draws on confirmed company positioning and named comparables; specific scenario outcomes are explicitly labelled as scenarios rather than forecasts.

Sources

  1. [Crunchbase] Carvis.AI - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/carvis-ai
  2. [PitchBook] Carvis 2026 Company Profile: Valuation, Funding & Investors | https://pitchbook.com/profiles/company/597745-81
  3. [StartupSeeker] Carvis.AI - Funding: $1M+ | https://startup-seeker.com/company/carvis~ai
  4. [carvis.ai] Carvis - AI Estimates for Auto Repair Shops (team page) | https://carvis.ai/team
  5. [carvis.ai] Carvis app | https://app.carvis.ai/
  6. [carvis.ai] Carvis testimonials | https://carvis.ai/testimonials/
  7. [Crunchbase] Pre Seed Round - Carvis.AI - Crunchbase Funding Round Profile | https://www.crunchbase.com/funding_round/carvis-ai-pre-seed--d682150c
  8. [Crunchbase] Carvis.AI - Profiles & Contacts | https://www.crunchbase.com/organization/carvis-ai/profiles_and_contacts
  9. [Crunchbase] Jay Warida - CEO @ Carvis.AI - Crunchbase Person Profile | https://www.crunchbase.com/person/jay-warida
  10. [Crunchbase] Carvis.AI - Contacts, Employees, Board Members, Advisors & Alumni | https://lb.crunchbase.com/organization/carvis-ai/people
  11. [RocketReach] Jay Warida Email & Phone Number | Carvis.ai Co-Founder | CEO Contact Information | https://rocketreach.co/jay-warida-email_755712841
  12. [MOGE] Carvis.AI product listing | https://moge.ai/product/carvisai
  13. [LinkedIn] Carvis company page | https://www.linkedin.com/company/carvis
  14. [Instagram] CARVIS (@carvis.ai) | https://www.instagram.com/carvis.ai/
  15. [LANARS] Personal car expenses assistant - CARVIS (distinct entity) | https://lanars.com/cases/carvis
  16. [Crunchbase] Carvis (parking lot management, distinct entity) | https://www.crunchbase.com/organization/carvis
  17. [completeaitraining.com] Carvis tool listing | https://completeaitraining.com/ai-tools/carvis/
  18. [aitechsuite.com] Carvis | AI Tech Suite | https://www.aitechsuite.com/tools/carvis.ai
  19. [U.S. Bureau of Labor Statistics] Occupational Outlook Handbook: Automotive Service Technicians and Mechanics | https://www.bls.gov/ooh/installation-maintenance-and-repair/automotive-service-technicians-and-mechanics.htm
  20. [Auto Care Association] Auto Care Factbook | https://www.autocare.org/research/factbook

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