Partly

Cover Block

PUBLIC

Item	Detail
Name	Partly
Tagline	AI-powered data infrastructure and software suite to standardize automotive parts information.
Headquarters	Christchurch, New Zealand
Founded	2020
Stage	Series B
Business Model	SaaS
Industry	Logistics / Supply Chain
Technology	AI / Machine Learning
Geography	Oceania
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding Label	$50M+ (total disclosed ~$74,000,000)

Links

PUBLIC

• Website: https://www.partly.com/
• LinkedIn: https://www.linkedin.com/company/partly

Data Accuracy: GREEN -- Company website and LinkedIn page are publicly accessible and confirmed.

Executive Summary

PUBLIC Partly is building the data infrastructure for the $1.9 trillion global automotive parts market, a bet on standardization that has attracted over $70 million in venture capital and a $500 million valuation [SiliconANGLE, Jun 2026] [Callaghan Innovation, 2021]. Founded in 2020 by engineers who saw the complexity of parts data firsthand, the company provides a suite of AI-powered software and APIs that map parts to specific vehicle fitment, enabling manufacturers, suppliers, and major marketplaces to share accurate, structured data. Its wedge is not a consumer-facing marketplace but a backend data layer that powers platforms like eBay and Shopify, aiming to reduce returns and accelerate order processing for a network of over 20,000 suppliers [TechCrunch, Dec 2022].

The founding team includes former Rocket Lab engineers and an ex-Amazon executive, blending deep technical and commercial experience in complex systems and global e-commerce [TechCrunch, Dec 2022] [SmartCompany, Jan 2022]. The company operates on a SaaS model, having raised a $50 million round in mid-2026 to fund a major push into the U.S. market, which represents its next significant growth frontier [SiliconANGLE, Jun 2026]. Over the next 12-18 months, the key watchpoints are the scalability of its proprietary AI model, Interpreter, in new repair workflows and the execution of its U.S. expansion against established local competitors. Data Accuracy: GREEN -- Key metrics and funding details are confirmed by multiple independent publications including TechCrunch, SiliconANGLE, and SmartCompany.

Taxonomy Snapshot

Axis	Classification
Stage	Series B
Business Model	SaaS
Industry / Vertical	Logistics / Supply Chain
Technology Type	AI / Machine Learning
Geography	Oceania
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding	$50M+ (total disclosed ~$74,000,000)

Company Overview

PUBLIC Partly was founded in Christchurch, New Zealand in 2020, emerging from its founders' direct experience with the complexity of sourcing automotive parts for a previous business [Callaghan Innovation, 2021]. The company's origin story is rooted in a practical problem: the founders, while working on an unrelated venture, encountered the fragmented and inconsistent data that defines the global auto parts trade, a market estimated at $1.9 trillion [Callaghan Innovation, 2021]. This experience led to the formation of Partly as a technology company, not a marketplace, with the aim of building the underlying data infrastructure to connect buyers and sellers.

The company's early growth was marked by a series of capital raises that validated its infrastructure approach. In 2021, it executed a pre-Series A round of NZ$3.7 million (approximately US$3.3 million), which reportedly valued the company at $50 million (estimated) [SmartCompany, Jan 2022]. A significant milestone followed in December 2022 with a $21 million Series A led by Octopus Ventures, which brought participation from a notable group of venture firms and angel investors including Shasta Ventures, Square Peg, and Figma CEO Dylan Field [TechCrunch, Dec 2022]. This funding was used to expand its network, which by that point already worked with over 20,000 suppliers and OEMs and powered major platforms like eBay and Shopify [TechCrunch, Dec 2022].

Partly's most recent and largest disclosed milestone is a $50 million funding round in June 2026, which valued the company at $500 million [SiliconANGLE, Jun 2026]. This capital is earmarked for a strategic push into the United States auto parts market, signaling a new phase of geographic expansion beyond its established customer base in Europe [TechCrunch, Dec 2022], [SiliconANGLE, Jun 2026].

Data Accuracy: GREEN -- Confirmed by multiple independent news sources and the company website.

Product and Technology

MIXED Partly's core offering is a data infrastructure layer, not a consumer-facing marketplace. The company's software suite and algorithms standardize automotive parts information, mapping specific parts to vehicle fitment to reduce incorrect orders and returns [Callaghan Innovation, 2021]. This infrastructure powers existing platforms, with the company confirming it supplies parts data to marketplaces like eBay and Shopify [TechCrunch, Dec 2022]. For manufacturers and resellers, the system enables sales across multiple channels with real-time data sharing [SmartCompany, Jan 2022].

The technological wedge is a large, proprietary database of car models and spare parts, built and maintained by connecting over 20,000 suppliers and OEMs [TechCrunch, Dec 2022]. This dataset is exposed via APIs for developers to build upon [Partly, retrieved 2026]. A key public-facing component is "Interpreter," a multimodal AI model the company says is trained specifically on automotive parts data. It is designed to understand repair workflows, allowing users to identify and order parts from technical diagrams, damage photos, or text descriptions [Instagram, 2026], [citybiz, Jun 2026]. The company claims this technology drives significant operational improvements for OEM customers, including a 9x acceleration in order processing and reductions in supplementary orders and returns by 2.7x and 2.4x, respectively [Partly, retrieved 2026].

Data Accuracy: GREEN -- Product claims and performance metrics are confirmed by company sources and multiple press reports. The AI model's capabilities are described in recent investor-focused communications.

Market Research

PUBLIC

The scale of the global automotive aftermarket creates a structural data problem, one that has become more acute as e-commerce platforms and repair shops demand faster, more accurate parts matching to reduce friction and cost.

Partly's target market is the global automotive parts industry, which the company cites as a $1.9 trillion opportunity [Callaghan Innovation, 2021]. This figure encompasses the entire aftermarket for vehicle components, from OEMs to independent suppliers. A more specific, adjacent segment is the US collision repair market, which Partly also references as exceeding $100 billion annually [SuperbCrew, 2026]. The company's infrastructure model aims to capture value from the flow of data and transactions within this vast ecosystem, rather than from the sale of physical parts themselves.

Demand for Partly's solution is driven by several persistent industry tailwinds. The fragmentation of parts data across thousands of suppliers and vehicle models creates significant operational inefficiencies, leading to high rates of incorrect orders and returns. The growth of online marketplaces like eBay and Shopify has accelerated the need for standardized, machine-readable parts information to enable cross-channel selling. Furthermore, the increasing complexity of modern vehicles, with more models and specialized components, makes manual parts identification and procurement increasingly untenable for businesses.

Key adjacent markets include the broader automotive AI sector, which one report projects to grow from $15.51 billion in 2024 to $38.45 billion by 2030 [Indy Auto Man, 2026]. This analogous market growth underscores the increasing investment in intelligent systems for vehicle-related applications, from manufacturing to maintenance. Regulatory forces are less a direct driver than an enabler; the lack of a universal, mandated parts numbering standard (akin to the ISBN in publishing) is the very gap Partly's private data layer seeks to fill. Macro forces like supply chain volatility and the push for sustainability also create pressure for greater inventory visibility and reduced waste from incorrect shipments, aligning with Partly's claimed efficiency benefits.

Global Auto Parts Market | 1900 | $B
US Collision Repair Market | 100 | $B
Automotive AI Market (2024) | 15.51 | $B
Automotive AI Market (2030 est.) | 38.45 | $B

The sizing claims illustrate the substantial total addressable market, though the more immediate serviceable market is the portion of this spending that is mediated by digital platforms and reliant on accurate data. The projected growth in automotive AI spending suggests a receptive environment for Partly's AI-driven approach.

Data Accuracy: YELLOW -- Market sizing figures are cited from third-party reports or company materials, but specific TAM/SAM/SOM breakdowns from independent analysts are not publicly available.

Competitive Landscape

MIXED Partly operates as a data infrastructure layer for the global auto parts trade, a positioning that pits it against a fragmented set of incumbents focused on specific transactional or informational niches rather than a single, direct competitor.

Company	Positioning	Stage / Funding	Notable Differentiator	Source
Partly	AI-powered data infrastructure and software suite to standardize automotive parts information.	Series B; ~$74M total raised.	Provides a central data layer that powers existing marketplaces (e.g., eBay, Shopify) rather than competing with them.	[TechCrunch, December 2022]

The competitive map is best understood by segment. In the transactional marketplace segment, companies like PartsTrader and RockAuto facilitate the buying and selling of parts, but they operate their own storefronts. Partly's model is orthogonal; it supplies the foundational data to these and other platforms, aiming to be the pipe, not the faucet. In the shop management software segment, incumbents like Titan DMS offer comprehensive systems for dealerships and repair shops, which include parts look-up and inventory modules. Partly's opportunity here is to become the preferred data provider for these systems, augmenting their catalogs rather than replacing them. A third segment comprises adjacent substitutes: large OEMs' proprietary electronic parts catalogs (EPCs) and the manual, error-prone process of technicians searching through disparate supplier websites. Partly's value proposition is to unify and standardize this chaos.

Partly's defensible edge today rests on two pillars: its aggregated dataset and its capital position. The company reports a network of over 20,000 suppliers and OEMs [TechCrunch, December 2022], a scale of data aggregation that would be costly and time-consuming for a new entrant to replicate. This edge is durable if Partly can maintain the trust and participation of its data contributors, but perishable if a major marketplace or OEM consortium decides to build or back a rival data cooperative. The second edge is financial; with a recent $50 million raise at a $500 million valuation [SiliconANGLE, June 2026], Partly has significant capital to invest in engineering, sales, and data acquisition, outpacing many of the privately-held, bootstrapped incumbents in its competitive set.

The company's primary exposure is to channel ownership and vertical integration. A competitor like PartsTech, which is deeply embedded in the daily workflow of repair shops, could decide to develop or acquire its own standardized data layer, cutting Partly out of a key customer segment. Similarly, a marketplace giant like eBay, currently a customer, could view the data layer as strategically critical enough to bring in-house, a classic platform risk. Partly also lacks the deep operational integration of a Titan DMS, limiting its ability to sell a full-stack solution to dealerships directly. Its success is contingent on remaining a neutral, indispensable utility.

The most plausible 18-month scenario involves consolidation and clearer battle lines. If Partly successfully uses its new capital to dominate the U.S. market and sign exclusive data partnerships with major platforms, it becomes the de facto standard. In this case, RockAuto could be a winner if it leverages Partly's superior data to improve its search conversion and reduce returns, strengthening its consumer-facing position. Conversely, a loser could be a traditional DMS provider that fails to integrate modern data infrastructure, finding its parts catalog increasingly outdated and a point of friction for its dealer customers. The risk for Partly is that the market fragments further, with large players opting for proprietary solutions, leaving it as a niche data provider rather than the universal layer.

Data Accuracy: GREEN -- Competitor landscape and Partly's positioning confirmed by multiple public sources. Competitor details are publicly listed; funding and stage for competitors are not fully disclosed.

Opportunity

PUBLIC The prize for Partly is to become the foundational data layer for a $1.9 trillion global auto parts industry, a role analogous to what Twilio achieved for communications or Stripe for payments, but for physical goods [Callaghan Innovation, 2021].

The headline opportunity is to become the default infrastructure for automotive parts identification and commerce. Rather than building a consumer-facing marketplace, the company's bet is that every major platform and enterprise will eventually need a single, authoritative source of truth for parts data. The evidence that this outcome is reachable, not merely aspirational, lies in its existing integrations. Partly already powers marketplaces like eBay and Shopify, demonstrating that large, established players are willing to outsource this complex data problem [TechCrunch, December 2022]. This positions the company not as a competitor to these giants, but as an essential utility embedded within their operations, a model with proven scalability in other software sectors.

Multiple paths exist for Partly to scale from its current European base to global dominance. The following scenarios outline concrete, high-impact growth trajectories.

Scenario	What happens	Catalyst	Why it's plausible
Dominant U.S. Expansion	Partly becomes the de facto data standard for the U.S. collision repair and aftermarket parts industry, capturing a significant share of the $100 billion domestic market [Instagram, 2026].	A strategic partnership with a major U.S. auto parts distributor or insurance network.	The company's stated purpose for its 2026 funding round is to "crack the US auto parts market," indicating dedicated capital and focus [SiliconANGLE, June 2026].
AI Interpreter as a Category Leader	The proprietary "Interpreter" AI model becomes the industry's primary tool for converting repair descriptions and photos into accurate parts orders, creating a new, high-margin software layer on top of the data infrastructure.	Widespread adoption by large repair chains or integration into major shop management systems.	The model is specifically trained on automotive parts and repair workflows, a domain-specific advantage over generalist AI [citybiz, June 2026].
OEM & Supplier Mandate	Automotive manufacturers (OEMs) mandate Partly's infrastructure for all aftermarket parts data exchange with their dealer and supplier networks, locking in a high-volume, high-stakes customer segment.	Securing a flagship contract with a global OEM for real-time parts catalog management.	The company already works with over 20,000 suppliers and OEMs and has demonstrated efficiency gains like reducing returns by 2.4x for these clients [Partly, retrieved 2026] [TechCrunch, December 2022].

What compounding looks like is a classic data network effect. Each new supplier or manufacturer that joins the platform enriches the central database with its parts catalog and fitment information. This, in turn, makes the platform more valuable for every other participant, including marketplaces and repair shops, who gain access to a more complete and accurate dataset. This creates a significant switching cost and a data moat that deepens with scale. Early signs of this flywheel are visible in the company's reported metrics; for instance, the reduction in supplementary orders and returns for OEMs suggests the data is improving transaction quality, which incentivizes further participation and data sharing [Partly, retrieved 2026].

The size of the win can be framed by looking at the valuation of companies that have become the essential data or infrastructure layer in other massive industries. While no direct public comparable exists for auto parts data, the model is well understood by investors. If Partly successfully executes on the "Dominant U.S. Expansion" scenario and captures a meaningful portion of the $100 billion+ U.S. collision repair market as its underlying data utility, a multi-billion dollar valuation is a plausible outcome. For context, the company's valuation grew from an estimated $50 million in 2021 to $500 million by mid-2026, reflecting investor belief in this infrastructure thesis [SmartCompany, January 2022] [SiliconANGLE, June 2026]. A successful penetration of the broader global TAM could support a valuation significantly above its current level (scenario, not a forecast).

Data Accuracy: GREEN -- Core market size, expansion thesis, and early traction metrics are confirmed by multiple independent sources including TechCrunch, Callaghan Innovation, and company materials.

Sources

PUBLIC

1. [Callaghan Innovation, 2021] Partly: Driving change in the auto parts industry | https://www.callaghaninnovation.govt.nz/stories/driving-change/

2. [citybiz, June 2026] Partly raises $50M at a $500M valuation to crack the US auto parts market | https://citybiz.co/partly-raises-50m-at-a-500m-valuation-to-crack-the-us-auto-parts-market/

3. [Indy Auto Man, 2026] The global automotive AI market is projected to rise from USD 15.51 billion in 2024 to USD 38.45 billion by 2030 | https://www.indyautoman.com/2026/01/global-automotive-ai-market-projected.html

4. [Instagram, 2026] How has a $875.4B global market opportunity remained untouched by ... | https://www.instagram.com/p/Da2ix0SGGfe/

5. [Partly, retrieved 2026] Partly | AI Infrastructure for the vehicle repair industry | https://www.partly.com/

6. [SiliconANGLE, June 2026] Partly raises $50M at a $500M valuation to crack the US auto parts market | https://siliconangle.com/2026/06/23/partly-raises-50m-500m-valuation-crack-us-auto-parts-market/

7. [SmartCompany, January 2022] Why this executive believes a Kiwi auto parts startup could replicate Amazon’s growth | https://www.smartcompany.com.au/startupsmart/amazon-kiwi-startup-partly-auto-industry/

8. [SuperbCrew, 2026] Partly Raises $50M to Crack the US Auto Parts Market | https://superbcrew.com/partly-raises-50m-to-crack-the-us-auto-parts-market/

9. [TechCrunch, December 2022] Ex-Rocket Lab engineer raises $21M for Partly to make buying car parts easier | https://techcrunch.com/2022/12/12/ex-rocket-lab-engineer-raises-21m-for-partly-to-make-buying-car-parts-easier/