Apollo
General-purpose humanoid robot designed for useful work.
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Builds general-purpose humanoid robots and robotic systems.
Products and operating platforms help connect company-level news to the revenue pools, customers, competitors, and supply chains it may affect.
General-purpose humanoid robot designed for useful work.
Actuation, controls and embodied-AI development stack.
01 / THE BUSINESS
Builds general-purpose humanoid robots and robotic systems. The research focus is whether customer adoption can support attractive economics after development, delivery and ongoing service costs.
02 / PEOPLE BEHIND THE COMPANY
Co-founder
Jeff Cardenas is a co-founder of Apptronik. The company’s founding and leadership material provides context for its work in humanoid robotics.
Explore founderCo-founder
Nick Paine is a co-founder of Apptronik. The company’s founding and leadership material provides context for its work in humanoid robotics.
Explore founderCo-founder
Luis Sentis is a co-founder of Apptronik. The company’s founding and leadership material provides context for its work in humanoid robotics.
Explore founderSelected founders; historical founding roles are distinct from current management positions.
03 / CAPITAL & OWNERSHIP
Selected disclosed events, newest first. Announcement values describe that transaction and date; they are not current share prices. Debt, equity and secondary transactions are identified separately.
Named participants: B Capital · Google · Mercedes-Benz · PEAK6 · AT&T Ventures · John Deere · Qatar Investment Authority
The extension brought the total Series A to more than $935M. Do not add the extension to that total again.
Read the announcementNames refer to the cited transactions. They do not establish current ownership, ownership percentages, or endorsement of this website.
04 / IN THEIR OWN WORDS
Apptronik
Product demonstrations, company presentations and original updates, linked from the company’s own website.
Visit original material ↗Interviews reflect the speaker’s perspective at publication. Company statements are not independent verification.
05 / EDITORIAL ANALYSIS
Our interpretation of the business model and cited sources, not a valuation or a recommendation.
Pilot conversion — what changed in the latest original disclosure?
Manufacturing partnerships — what changed in the latest original disclosure?
Autonomy performance — what changed in the latest original disclosure?
YOUR RESEARCH WORKSPACE
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06 / RESEARCH TRAIL
Research checked Sep 18, 2026. Selected public disclosures, not a complete capitalization table or securities-filing search. Missing information is left unconfirmed. No investment availability or IPO date is implied.
Private-company information is incomplete, episodic, and difficult to verify. Treat every data point as a starting point for diligence—not a substitute for company-approved materials, legal review, or investment analysis.
Add to my private currentMeasure useful work delivered, not demonstrations. The key bridge is from a supervised pilot to repeatable deployments with improving utilization, reliability, service burden, and customer payback.
Manufacturers and warehouses
Logistics operators
Automotive and industrial firms
Research and development partners
Paid deployments and contracted units
Hours between intervention
Bill-of-materials trajectory
Deployment and support labor per unit
Robot-as-a-service contribution margin
Performance generalizes beyond staged tasks
Data flywheel improves deployment speed
Hardware supply chain can scale
Customer payback survives labor and financing assumptions
Pilot-to-production conversion
Manufacturing ramp
Autonomy reliability gain
New task or environment deployment
A company-specific starting point based on the operating realities of robotics. Replace assumptions with verified company materials, customer evidence, legal documents, and expert work.
Hardware gross margin
Service and software revenue per deployed unit
Manufacturing cost curve
Customer payback period
Paid deployments and renewals
Robot-hours without intervention
Task reliability across environments
Serviceability and fleet uptime
Industrial automation
Machine vision
Warehouse robotics
Labor and fixed-automation alternatives
Does the demo generalize?
Who carries maintenance and downtime risk?
Which component controls cost?
How much new data improves performance?
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