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Partly constructs a global platform designed to centralize and manage replacement parts, with an initial focus on the automotive sector. The company provides a comprehensive infrastructure that connects the disparate elements of the parts supply chain, thereby improving operational efficiency and facilitating automation for all participants. Its technology aims to standardize data and streamline workflows inherent in parts identification and distribution.
The company was co-founded by Levi Fawcett and Nathan Taylor, both of whom possess significant experience within the automotive and technology industries. Their collective insight highlighted the inefficiencies and fragmentation prevalent in the global market for replacement parts, which motivated them to build a unified and accessible solution for the industry. They established Partly to directly address these systemic challenges through a technological framework.
Partly's product caters to a diverse range of customers across the automotive parts ecosystem, including part manufacturers, wholesalers, and repair service providers. The company’s long-term vision centers on connecting the world's parts, aiming to create a future where the process of sourcing, cataloging, and delivering replacement parts is entirely seamless and universally accessible, optimizing a critical global industry.
Partly has raised $25.7M across 3 funding rounds.
Partly has raised $25.7M in total across 3 funding rounds.
Partly has raised $25.7M in total across 3 funding rounds.
Partly's investors include Octopus Ventures, Accel, Alumni Ventures, Bascom Ventures, Bedrock Capital, Blackbird Ventures Australia, Entrepreneur First, foobar.vc, FTX Ventures, Index Ventures, Kleiner Perkins, MS&AD Ventures.
Partly has raised $25.7M across 3 funding rounds. Most recently, it raised $21.0M Series A in December 2022.
Partly is a technology company building AI-powered infrastructure for the auto parts industry, providing APIs and applications that connect the parts supply chain to boost efficiency and enable automation.[1][2] It offers purpose-built AI models—like the world's first foundation model for parts—for procurement, order management, and estimation, serving automotive groups, dismantlers, and developers who integrate these tools into their systems.[1][2] The platform solves fragmented tools, pricing bottlenecks, and complex parts data, with customers achieving results like 67% reduction in job pricing time and replacement of 30+ software solutions.[1]
Partly targets the collision parts supply chain, streamlining operations for workshops, counter sales, trade portals, and inventory management, while promoting sustainability through better resource use.[1][2]
Partly was founded by Levi, an auto industry and tech veteran who previously led the guidance and simulation team at Rocket Lab (Nasdaq: RKLB) as an engineer.[2] Drawing from deep expertise in automotive data and engineering, Levi established Partly to tackle the complexities of parts workflows, spending four years developing its AI models.[2] The company emerged from a passion for "tech and cars," with a team of veterans from Rocket Lab, Microsoft, F1, and SaaS startups like Vesta, where leaders like Claudia drove growth before joining to build customer success.[2][3]
Early traction came from real-world pilots, such as an Enterprise UK Automotive Group deploying Partly Workshop in 8 weeks to centralize operations, and a NZ dismantler transforming inventory across three centers.[1] This validated the business case and fueled expansion into a global team obsessed with connecting the world's parts.[1][2]
Partly rides the AI infrastructure wave in fragmented verticals like auto parts, where legacy Electronic Parts Catalogs (EPCs) and siloed data hinder automation.[1][2] Timing aligns with rising demand for supply chain efficiency amid global automotive shifts—electric vehicles, right-to-repair laws, and sustainability pressures—making AI-native tools essential for procurement and collision repair.[1]
Market forces favor Partly: exploding aftermarket parts volume (projected to hit $500B+ globally) meets AI's ability to structure unstructured data, influencing ecosystems by enabling developers and OEMs to build smarter apps.[1][2] As a pioneer, it sets standards for parts intelligence, much like foundational models transformed general AI, potentially unlocking automation across adjacent industries like aviation or machinery.[3]
Partly's trajectory points to global expansion of its parts platform, starting with auto but scaling to "the world's parts" via modular AI APIs.[1][2] Trends like agentic AI for supply chains, EV parts proliferation, and regulatory pushes for data interoperability will propel growth, with network effects from developer adoption amplifying reach.[1]
Influence may evolve from niche innovator to industry standard-setter, powering sustainable, automated ecosystems—watch for partnerships with OEMs and deeper embeds in repair software. This positions Partly as a cornerstone in AI-driven vertical efficiency, transforming how the world sources and manages parts.[1][2][3]
