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VMTech News — What Can a Tech Startup Do in 3 Years?

What Can a Tech Startup Do in 3 Years?

What Can a Tech Startup Do in 3 Years?

by Team VMTech reads 707

What Can a Tech Startup Do in 3 Years?

What do you think a tech startup can accomplish in three years? Or better yet — what can a robotics-focused IT startup achieve in that time? Perhaps a couple of announcements to entertain users and attract investors, maybe even a semi-functional prototype that moves one limb.

But Figure had a different vision. In just three years, they've unveiled not one but two versions of their humanoid robots — trained them to walk, think, and even work. And look at that design — a titanium ambassador from the future!

Let’s discover who they are, who the genius founder is, and what ties he has to the U.S. Air Force. Most importantly — how did they build a smart, agile, and even social robot in just three years?
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Who’s Behind Figure?

Figure isn’t just a company — it’s a challenge to Boston Dynamics and Tesla. And behind it is a man with a biography unlike anything typical in Silicon Valley.

Meet Brett Adcock. He sold a marketplace, built an electric aircraft, and after watching “Terminator,” decided: “Why not build one — but useful?”

Thus, in 2022, Figure was born — a startup aimed at transforming factories, kitchens, and possibly humanity itself.

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A History of Bold Moves

Brett is no stranger to tech. His first big win was Vetry — a recruitment platform for tech, sales, and finance — sold to Adecco Group for ~$100M in 2018. Then came Archer Aviation: electric vertical takeoff aircrafts. United Airlines ordered 200 units for $1B. By 2021, Archer was valued at $2.7B.

In May 2022, Brett left Archer to focus on Figure.

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Enter Figure One

The first humanoid robot to walk onto the internet. 168 cm tall, 68 kg, 200 Nm actuators, silicone hands, panoramic cameras, and a display face. It could lift 20 kg and run for 5 hours.

Their CTO, Jerry Pratt, spent 20 years in robotics, including work on Boston Dynamics’ Atlas.

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Smart, with a Touch of GPT

Figure One runs on OpenAI’s GPT-4 — it sees, hears, remembers, and follows contextual commands. Tell it “Give me that” and it understands what “that” means.

Figure Two? A game-changer: exoskeleton, 7 hours of runtime, 16 degrees of freedom, 25 kg capacity, RGB cameras, voice interface, VLM from OpenAI. It works at BMW sorting auto parts with sub-centimeter precision.

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Drama with OpenAI

But then — conflict. Figure split from OpenAI. Why? Creative differences. Brett posted: “We need deep vertical integration. External AI slows us down. We want full control.”

OpenAI prefers software and APIs, not robots. Figure wants thinking machines that move.

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Meet Helix

Figure launched Helix — their in-house AI: GPT-4, MidJourney, Beeps in one. VLA architecture: Vision, Language, Action. Two-layered system: one plans (200Hz), one acts (9Hz). Robots think slow, act fast — in sync like Wi-Fi-enabled bees.

Figure 2 with Helix sorts items faster than you and your mom at Walmart. Real team effort. Not automation — cooperation.

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Looking Forward

Now, Figure stands alone — own hardware, AI, philosophy. Can they survive without OpenAI’s resources?

In 2025, they’ve already shipped units to a major U.S. company. Target: 100,000 robots by 2028. Like Tesla — mass production, custom product. Target market: logistics.

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Amazon, Carrefour, BMW — all want robots that open doors, move boxes, and don’t need lunch breaks.

Advantages: quick training, no sick days, adaptive. Future: press a button, robot works. Delivered in boxes, configurable via cloud. ROI: under 12 months. Price? Less than an annual salary — $30–40K.

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Competition Heats Up

Competitors: Tesla Optimus, Agility Digit, Uni3 G1, Xiaomi Cyber One, Sanctuary AI. But only Figure controls both AI and hardware — already operating in real factories.

They say: “We’re in business.” Robots are the new PCs. Or electric cars 10 years ago.

Ambitious? Absolutely. But so far — impressive. Could this be the Apple of robotics? Or just a bubble? Time will tell.

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