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
- Website: https://carvis.ai/
- Product app: https://app.carvis.ai/
- LinkedIn: https://www.linkedin.com/company/carvis
- Instagram: https://www.instagram.com/carvis.ai/
- Crunchbase: https://www.crunchbase.com/organization/carvis-ai
- PitchBook: https://pitchbook.com/profiles/company/597745-81
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]. There are no confirmed accelerator affiliations, no announced enterprise customer wins, and no public legal entity filings beyond the Crunchbase and PitchBook records. 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.
No verified technology stack details are public. Integrations with incumbent shop management systems, pricing model, and the split between shop-facing and consumer-facing surfaces are not described in public materials. The MOGE listing's mention of "car owners" as a secondary user suggests a possible consumer-facing surface, but this is not corroborated by the company's own website, which reads as shop-first [carvis.ai][MOGE].
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 | Source |
|---|---|---|
| U.S. auto service technicians employed | ~770,800 (May 2023) | U.S. Bureau of Labor Statistics OOH |
| U.S. auto care end-user spend | $400B+ annual | Auto Care Association Factbook |
The addressable software wedge is a fraction of total category spend, and pricing power for shop software has historically been constrained by the small-business buyer's willingness to pay only low-hundreds of dollars per shop per month. The opportunity is a function of how many shops Carvis can reach and what attach rate it can hold against that ceiling.
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.
Adjacent and substitute markets matter. Shop management systems such as Shopmonkey and Tekmetric already sit in the workflow and could add AI estimating as a feature; parts catalogues and labour-time guides such as Mitchell 1, ALLDATA, and Motor sit upstream and own much of the structured data Carvis would need to compete on coverage.
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 | Notable Differentiator |
|---|---|---|---|
| Carvis.AI | AI estimating and diagnostics for repair shops | Pre-Seed, Trucks VC lead | Proprietary repair-order dataset framing |
| Shopmonkey | End-to-end shop management OS | Series C, $75M raised in 2021 | Full workflow incumbency, broad shop install base |
| Tekmetric | Cloud-based shop management system | Growth-stage, Series B led by Bregal Sagemount | Deep integrations with parts and payments, large shop footprint |
The segment-by-segment map breaks roughly into three groups. 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.
Where Carvis appears to have a defensible edge today is in focus and capital-efficient design: a single, narrow workflow rebuilt natively on machine learning, paired with a transportation-specialist lead investor [Crunchbase]. That edge is real but perishable. Shopmonkey and Tekmetric can plausibly add AI estimating to their existing platforms inside a 12 to 18 month product cycle.
Where Carvis is most exposed is the channel question. Shop owners are notoriously hard to reach at scale and tend to buy software through trusted local relationships, distributor reps, and industry trade events. A pure-play AI estimator that does not own the shop management surface has to win either by integrating into the incumbent or by convincing shops to run a second piece of software next to their existing system.
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 | Catalyst |
|---|---|---|
| Embedded inside the shop OS | Carvis becomes the AI estimating engine licensed by one or more shop management incumbents | A commercial integration with Shopmonkey, Tekmetric, AutoLeap, or a regional chain |
| Direct-to-shop network | Carvis signs thousands of independent shops directly on a low-ACV subscription | Demonstrated ROI in time-to-estimate and close rate at lighthouse shops |
| Fleet and warranty data partner | Carvis becomes the pricing reference layer for fleet operators, extended warranty providers, and insurers | A data licensing deal with a national fleet, warranty administrator, or claims platform |
The flywheel in this category is data-driven. Each repair order processed through Carvis improves the pricing model, which tightens estimate accuracy, which improves shop close rates and customer trust. The early presence of a testimonials page suggests at least the first turn of that flywheel is in motion [carvis.ai].
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
- [Crunchbase] Carvis.AI - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/carvis-ai
- [PitchBook] Carvis 2026 Company Profile: Valuation, Funding & Investors | https://pitchbook.com/profiles/company/597745-81
- [StartupSeeker] Carvis.AI - Funding: $1M+ | https://startup-seeker.com/company/carvis~ai
- [carvis.ai] Carvis - AI Estimates for Auto Repair Shops (team page) | https://carvis.ai/team
- [carvis.ai] Carvis app | https://app.carvis.ai/
- [carvis.ai] Carvis testimonials | https://carvis.ai/testimonials/
- [Crunchbase] Pre Seed Round - Carvis.AI - Crunchbase Funding Round Profile | https://www.crunchbase.com/funding_round/carvis-ai-pre-seed--d682150c
- [Crunchbase] Carvis.AI - Profiles & Contacts | https://www.crunchbase.com/organization/carvis-ai/profiles_and_contacts
- [Crunchbase] Jay Warida - CEO @ Carvis.AI - Crunchbase Person Profile | https://www.crunchbase.com/person/jay-warida
- [Crunchbase] Carvis.AI - Contacts, Employees, Board Members, Advisors & Alumni | https://lb.crunchbase.com/organization/carvis-ai/people
- [RocketReach] Jay Warida Email & Phone Number | Carvis.ai Co-Founder | CEO Contact Information | https://rocketreach.co/jay-warida-email_755712841
- [MOGE] Carvis.AI product listing | https://moge.ai/product/carvisai
- [LinkedIn] Carvis company page | https://www.linkedin.com/company/carvis
- [Instagram] CARVIS (@carvis.ai) | https://www.instagram.com/carvis.ai/
- [LANARS] Personal car expenses assistant - CARVIS (distinct entity) | https://lanars.com/cases/carvis
- [Crunchbase] Carvis (parking lot management, distinct entity) | https://www.crunchbase.com/organization/carvis
- [completeaitraining.com] Carvis tool listing | https://completeaitraining.com/ai-tools/carvis/
- [aitechsuite.com] Carvis | AI Tech Suite | https://www.aitechsuite.com/tools/carvis.ai
- [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
- [Auto Care Association] Auto Care Factbook | https://www.autocare.org/research/factbook
Articles about Carvis.AI
- Carvis.AI Wants Every Independent Auto Shop to Quote Repairs Like a Dealer — The San Francisco pre-seed startup, backed by Trucks VC, is turning repair orders into pricing intelligence for a fragmented service market.