Proprietary industry data
Self-hosted OEM references, machine documentation and structured relationships across part numbers, models, serial ranges, assemblies and alternates.
Strategic partnerships
Heavy-equipment knowledge, finally connected.
Heavy Parts AI is bringing fragmented manuals, parts records, fitment relationships and field knowledge into one focused intelligence platform. We have built a meaningful foundation—and we are still early enough for the right partners to help shape what comes next.
Thoughtful, private conversations with organizations that see a genuine fit.
Heavy Parts AI
A connected intelligence layer for machines, parts and service
Parts recordsnumbers · fitment · supersessions
Machine manualsservice · workshop · operator
Field questionstechnicians · fleets · workshops
Model intelligenceserial ranges · systems · specs
Private knowledgecompany files · internal context
50M+structured part records
50K+machine and service manuals
20K+machine models represented
30+major OEM brands covered
The wider equipment economy
One knowledge problem across several machine economies.
Heavy Parts AI sits across construction, mining, material handling, agriculture and industrial power—not inside a single vertical. The machines differ, but operators repeatedly face the same fragmented manuals, part-identification challenges, fitment uncertainty and loss of experienced technical knowledge.
$242.2B
Construction equipment
2025 global estimate spanning earthmoving, roadbuilding and concrete machinery.
$262.9B
Material handling equipment
2025 global estimate covering industrial trucks, lifting equipment and warehouse systems.
$155.4B
Mining equipment
2025 global estimate across surface and underground equipment and high-duty power classes.
$176.0B
Agriculture equipment
2025 global estimate covering tractors, harvesters and specialized farm machinery.
The recurring layer is the opportunity. In construction alone, worldwide annual equipment sales have exceeded one million units in major years, while a conservative estimate values its 2024 aftermarket at $26.3B. Machines remain in service for years and continue generating service, parts, fitment and documentation decisions.
The Heavy Parts AI thesis: value is not created by another generic AI interface. It comes from connecting scattered technical knowledge to the people making real machine and parts decisions across these sectors.
These are separate market estimates with overlapping categories and should not be added together. Market context only—not a claim of Heavy Parts AI addressable revenue. 2025 estimates: construction, material handling, mining and agriculture—Grand View Research. Supporting indicators: Global Industry Analysts and Off-Highway Research data via KHL.
The foundation
More than a chat interface. A purpose-built industry system.
The visible product is simple by design. Underneath it sits a growing structure of equipment documentation, parts relationships and retrieval workflows built for the way heavy machinery actually works.
Specialized intelligence
A retrieval and reconciliation layer that understands brand aliases, engine families, model variants and ambiguous workshop language—not just generic document search.
Built from the field inward
The platform is informed by people who know parts counters, workshops, service manuals and OEM catalog structures. That practical context shapes every workflow.
Where we are going
From answering a question to becoming part of the daily workflow.
Our ambition is not to replace expertise. It is to make hard-won industry knowledge easier to reach, verify and carry into every parts and service decision.
A deeper machine knowledge graph
Connect models, systems, parts, serial ranges, symptoms and documentation into a navigable technical layer.
Tools for the actual job
Move from lookup into diagnosis, maintenance planning, sourcing support and guided workshop decisions.
Private organizational context
Let teams safely combine the platform’s knowledge with their own manuals, machines and institutional experience.
An interoperable industry layer
Bring reliable technical intelligence into the systems where fleets, workshops and parts organizations already work.
We are ambitious about the problem—and honest about the journey.
Heavy machinery knowledge is vast, uneven and constantly changing. We do not claim to have solved all of it. We have built a serious starting point, a practical product and an expanding data foundation. The right partnerships can help us improve coverage, deepen trust and reach the people who need it most.
Who we can build with
We are looking for strategic fit, not attention for its own sake.
We welcome conversations where each side brings something the other cannot build as quickly alone—distribution, trusted data, workflow access, technical depth or patient industry experience.
OEM, aftermarket and distribution organizations
Partners who understand how parts and service information moves—and where better access creates measurable value.
Catalog, documentation and technical-data businesses
Organizations with trusted information assets that can become more useful when structured, connected and conversational.
Fleet, workshop and service ecosystems
Partners who can help place reliable machine intelligence directly inside high-frequency operational decisions.
Strategic investors and experienced builders
People and organizations who see the long horizon of industrial knowledge infrastructure and can help us scale it responsibly.
Commercial distribution
Data and content collaboration
Product integration
Embedded intelligence
Strategic investment
Other long-term opportunities
If you see a genuine strategic fit, we would be glad to hear your perspective.
No formal pitch or contact form is required. Email us directly with a brief introduction, where you see alignment and what a useful first conversation might explore. We will respond personally and treat the discussion with care.