How Mytra is reinventing pallet movement in warehouses and manufacturing

Executive overview

Most warehouse automation adds complexity on top of a broken foundation: forklifts moving 9,000 lbs to shift 3,000 lbs of goods. Mytra's co-founders Chris Walti and Ahmed Beyt Elmal saw this firsthand scaling manufacturing at Tesla and Rivian.

Their answer is a 700 lb robot that moves standard pallets in full 3D — up, down, left, right — within any warehouse structure, without fixed conveyor infrastructure. The system is software-defined: conveyors and lifts become software instructions, not physical hardware.

The core insight: material flow is the unsolved bottleneck across all of warehousing, logistics, and manufacturing — and fixing it requires rethinking the physical primitive, not layering more automation on top.

From Tesla and Rivian to founding Mytra

• Both founders met during the Model 3 production ramp — as customers of the very material flow systems they found inadequate.
• Walti led product and hardware for Tesla's Supercharger team, then took on humanoid robotics (Optimus) before concluding it was a research problem, not a near-term deployment one.
• Beyt Elmal moved from wheeled automation to humanoid robotics at Tesla, then helped Rivian scale manufacturing systems.
• The founding idea came from a call while Beyt Elmal was on a beach in Hawaii: go back to fundamentals and rethink the problem entirely, not build another automation company.

The pallet as the unsolved primitive

• Pallets carry ~90% of all physical goods globally — every product the founders cited has been on one.
• The pallet movement technology hasn't changed in 100 years: wooden pallet, same size, moved by human-operated forklifts.
• A forklift must weigh at least as much as its load to balance — moving 3,000 lbs of goods requires moving 6,000–9,000 lbs of machine.
• No existing system was designed to move payloads freely in full 3D (forward, back, left, right, up, down) without fixed infrastructure.

How Mytra's system works

• Mytra bots weigh 700 lbs and move 3,000 lb pallets — a 4x weight ratio versus a 3:1 or worse ratio for forklifts.
• The bot footprint matches the pallet itself; no larger floor space required.
• Movement is constrained to three dimensions within a grid structure, which makes the system tractable for software.
• Conveyors and lifts are replaced by software instructions to the bots — no physical conveyor infrastructure needed.
• The warehouse becomes software-defined: reconfigurable without physical changes.

Founder mode at a 74-person company

• Both founders stay deeply involved in technical details — design reviews, actuator choices, reliability planning, cost roadmaps.
• Sophisticated buyers ask specific engineering questions; founders who can't answer them don't build confidence.
• The tension: as companies grow, there is external pressure to delegate and decouple from the details.
• Their view: founders can remain in the details without making every decision — awareness is the goal, not control.
• Elon at Tesla model: 12 technical meetings in a day, covering everything from power electronics to wind tunnel optimization — not a template, but proof that founder mode scales.

Why hardware is worth building now

• 85% of global GDP is driven by physical industries; 90% of tech value creation has come from software — the gap is the opportunity.
• Robotics closes the loop that IoT opened: signals from the physical world can now be acted on by machines, not just monitored.
• Tesla and SpaceX demonstrated a playbook: build architecturally simpler systems (10x fewer parts) to disrupt legacy industries.
• The next frontier is software applied to the physical world — waste collection, construction, cable laying, goods manufacturing.

The founders' core advice for hardware entrepreneurs

• Work in the field before building. Immersion reveals the actual problem; skipping this produces products that look impressive but solve nothing.
• At Mytra, every employee — including web developers and marketers — works in the warehouse with customers.
• Beyt Elmal's Tesla example: to build operator software for the GA-4 line, he spent time putting bolts in cars on the Model 3 line first.
• The sequence: get deep insight → identify the fundamental problem → then design the solution. Not the reverse.
• Building something that "looks cool" without field insight is the most common failure mode in hardware startups.