Forbes 30 Under 30 - Manufacturing & Industry $231M total funding raised Nimble valued at $1 Billion FedEx strategic partner & lead investor QDD actuators now power MIT Mini Cheetah & Tesla Optimus Ohio State Texnikoi Outstanding Alumni 2024 CMU Robotics MS - Stanford Vision and Learning Lab PhD Board: Fei-Fei Li, Marc Raibert, Sebastian Thrun Forbes 30 Under 30 - Manufacturing & Industry $231M total funding raised Nimble valued at $1 Billion FedEx strategic partner & lead investor QDD actuators now power MIT Mini Cheetah & Tesla Optimus Ohio State Texnikoi Outstanding Alumni 2024 CMU Robotics MS - Stanford Vision and Learning Lab PhD Board: Fei-Fei Li, Marc Raibert, Sebastian Thrun
Founder & CEO / Nimble  |  Roboticist / AI Pioneer

Simon
Kalouche

He built the actuators inside your robot.
Now he's building the warehouse that ships your package.

The roboticist who invented a $40 motor hack that became standard equipment inside MIT's Mini Cheetah, Unitree's humanoids, and Tesla's Optimus - then walked away from a Stanford PhD to build a billion-dollar logistics company that's partnered with FedEx to out-automate Amazon.

Forbes 30 Under 30 $1B Valuation Founder & CEO Nimble AI
Simon Kalouche - Founder & CEO of Nimble
"Until Nimble builds a better automated warehouse than Amazon, we haven't made it."
- Simon Kalouche, Founder & CEO, Nimble
$231M Total Funding
$1B Valuation
220+ Employees
1/10 Cost of QDD vs Traditional Actuators
70% Fulfillment Cost Reduction
24/7 Autonomous Operations
Origin Story

He started with gecko feet and a gyroscope bicycle

At Ohio State in 2013, Simon Kalouche was building robots that stuck to walls. The technology was borrowed from geckos - synthetic adhesive materials that mimicked the Van der Waals forces that let lizards walk upside-down. He was doing this in collaboration with NASA's Jet Propulsion Lab, as an undergrad. That's the kind of researcher Kalouche was before he was a CEO.

His mechanical engineering degree came with honors. His FEH (Fundamentals of Engineering Honors) program - combining mechanical design, electronics, and programming into one messy course - was, by his own account, what "really sparked my interest in robots." He also built a self-balancing bicycle using a control moment gyroscope, co-founded an Air Force and NASA-funded autonomous vehicle team as an undergraduate, and walked out of Ohio State in 2014 with the Outstanding Research Award and the Denman Forum first prize.

Carnegie Mellon was next. And CMU is where the invention happened.

"The equations are great, but really to build something you have to tinker with it, you have to wire up the Arduino."
- Simon Kalouche

In 2016, working at the CMU Robotics Institute, Kalouche combined commodity drone motors with low-ratio planetary gearboxes to create the first low-cost quasi-direct-drive (QDD) actuators. Traditional robotic joints were expensive and rigid. His version was neither. It was backdriveable, force-controllable, and cost roughly one-tenth of existing alternatives. A $40 motor combination that let robots feel and respond to their environment rather than just execute preprogrammed trajectories. The MIT Mini Cheetah runs on this principle. So does the Unitree H1. So does Tesla's Optimus. Kalouche's thesis work became a foundational piece of the modern legged robotics industry.

He posted about it later with characteristic understatement: "Bezos browsing through my thesis is all one can hope for from a masters thesis."

The Pivot

He had Fei-Fei Li as his advisor. He left anyway.

In 2016, Kalouche arrived at Stanford's Vision and Learning Lab, one of the most competitive research environments in machine learning. His PhD was being supervised by Fei-Fei Li - the researcher who created ImageNet and is widely credited with catalyzing the modern deep learning era. Kalouche's research focused on imitation learning: training robots by watching humans perform tasks through VR teleoperation and upper-body exoskeletons.

It was while studying how deep learning could be applied to robot manipulation that the commercial opportunity became too clear to ignore. E-commerce was exploding. Warehouse labor was becoming a structural bottleneck. And nobody had built robots that could actually pick and pack the diverse, irregular products that consumers buy - not at scale, not economically.

In 2017, Kalouche put his PhD on hold and founded Nimble Robotics. His thesis advisor became one of his earliest investors. So did Silvio Savarese, Andy Rachleff, and Sebastian Thrun. The company's first mission: build general-purpose robots for e-commerce fulfillment.

"You have to be so passionate about whatever you're building, and truly believe in it. If you're doing it for the money, you're going to give up at some point."
- Simon Kalouche

That decision - to leave a Stanford lab run by one of the most famous researchers in AI - is the kind of bet that looks obvious in hindsight and terrifying in real time. Kalouche was 26. He had no commercial experience. He was about to hire engineers, raise capital, and try to automate something that had defeated far better-funded competitors for decades.

He did it anyway.

Not point solutions. A complete autonomous logistics network.

Most warehouse automation is a patchwork - robotic arms for picking, separate conveyors for sorting, human workers filling gaps. Nimble built a unified platform: generalist robots that handle storage, retrieval, picking, packing, and sorting, managed by a cloud logistics layer that integrates WMS, OMS, TMS, IMS, and RMS in one system.

🤖
Generalist Robots
Superhumanoid warehouse robots capable of handling diverse SKUs - the same unit picks apparel, electronics, beauty products, and CPG.
🧠
AI Orchestration
AI-driven inventory slotting, demand forecasting, facility location optimization, and real-time order routing across multi-node fulfillment centers.
☁️
Cloud Logistics Platform
Unified WMS, OMS, TMS, IMS, and RMS - one cloud platform replacing the fragmented software integrations that cost operators millions to maintain.
📦
Autonomous 3PL
Full-service fulfillment for brands and retailers - Nimble owns and operates the automation, eliminating capital expenditure requirements for customers.
🚚
Last-Mile Integration
Dynamic freight partnerships, multi-node positioning, and 2-day delivery infrastructure built specifically for D2C and B2C brands at scale.
♻️
Sustainable Operations
Energy-efficient automation, optimized transportation routing, and reduced shrinkage combine to make Nimble's footprint greener than traditional 3PL.
The Milestone

FedEx doesn't invest in companies. It invested in Nimble.

In October 2024, Nimble closed a $106 million Series C at a $1 billion valuation. FedEx led the round and co-led with Cedar Pine LLC. The capital announcement was paired with a commercial agreement: FedEx Fulfillment would scale using Nimble's fully autonomous 3PL model - a deal with potential for billions in annual revenue.

This is the kind of partnership that validates a category. FedEx operates one of the most sophisticated logistics networks on earth. Its decision to build its fulfillment future on Nimble's robots is not a pilot program. It is a structural bet on autonomous logistics as the successor to human-operated warehousing.

Kalouche put it directly: "Today's warehouse automation systems require integrators to stitch together fragmented point solutions - eliminating as much as 70% of the cost." Nimble's unified platform replaces that fragmentation.

In April 2025, FedEx deepened the relationship with an additional investment beyond the Series C - bringing Nimble's total raised capital to $231 million.

"We're thrilled to be engaging in this multifaceted alliance with a logistics industry leader like FedEx to pioneer and scale autonomous fulfillment."
- Simon Kalouche, October 2024
2017
Seed Round - Stanford StartX
Seed
2021
Series A & B
~$50M
Oct 2024
Series C - Led by FedEx
$106M
Apr 2025
Additional FedEx Investment
+Additional
$231M Total Funding Raised

From gecko robots to a billion-dollar logistics company

2013-2014
Builds gecko-adhesive climbing robots at Ohio State and NASA JPL. Wins Denman Forum 1st place and Ohio State Outstanding Research Award.
2014
Graduates Ohio State with honors in Mechanical Engineering. Earns NDSEG Fellowship and NASA Space Grant. Joins CMU Robotics Institute.
2016
Invents the first low-cost quasi-direct-drive (QDD) actuators at CMU - enabling sim-to-real RL for legged robots at ~1/10th traditional cost. Technology adopted by MIT, Unitree, Tesla.
2016-2017
Joins Stanford's Vision and Learning Lab under Fei-Fei Li. Researches deep imitation learning via VR teleoperation and exoskeletons.
2017
Founds Nimble Robotics in San Francisco. Advisor Fei-Fei Li becomes an early investor. Begins building generalist warehouse robots.
2021
Named Forbes 30 Under 30 in Manufacturing & Industry. Nimble deploys robot fleets in major retail warehouses.
Oct 2024
Nimble closes $106M Series C at $1B valuation. FedEx leads round and signs commercial agreement for FedEx Fulfillment expansion. Ohio State Texnikoi Outstanding Alumni Award.
Apr 2025
FedEx makes additional strategic investment in Nimble beyond the Series C. Total raised reaches $231M.

There's a through-line in Kalouche's career that isn't obvious until you trace it: he's always been interested in making robots do things they weren't supposed to be able to do yet. Gecko adhesion in 2013. Force-sensitive actuation in 2016. Generalist picking and packing in 2017. The specific technical problem changes; the ambition doesn't.

His research background - CMU for the hardware fundamentals, Stanford for the AI layer - maps almost perfectly onto Nimble's architecture. The robots need to physically handle irregular objects across an enormous SKU variety (the manipulation problem Kalouche researched under Li). They need low-cost, responsive actuation that doesn't destroy products on contact (the QDD problem he solved at CMU). And they need a software layer that can orchestrate multi-robot, multi-node operations in real time (the systems layer he built out at Nimble).

The company name is telling. Not "Agile" or "Swift" or something borrowed from the aerospace playbook. Nimble. The quality of handling whatever appears in front of you with precision and without preparation. That's what warehouse robots need to be. That's what Kalouche has spent a decade trying to build.

"We need to make the impossible possible every day."
- Simon Kalouche

The QDD actuator inventor, the Forbes list-maker, the unicorn builder

Forbes 30 Under 30 - 2021
Ohio State Texnikoi Outstanding Alumni - 2024
NDSEG National Defense Fellowship
NASA Space Grant Fellow
James R. Swartz Entrepreneurial Fellow, CMU
IEEE SSRR Best Applied Paper Award
Stanford StartX Alumni
Ohio State Outstanding Research Award
Denman Forum 1st Place
$1B Company Valuation
QDD Actuator Inventor
FedEx Strategic Alliance

The specifics are always more interesting than the summary

$40
The approximate cost of the drone motors Kalouche used to build his quasi-direct-drive actuators at CMU in 2016. They replaced components that cost ten times more and became the de facto standard for legged robots.
3
The number of robotics and AI hall-of-famers on Nimble's board: Fei-Fei Li (ImageNet, Google AI), Marc Raibert (Boston Dynamics), Sebastian Thrun (Google X, Waymo). This is not a typical startup advisory board.
70%
The claimed reduction in fulfillment cost Nimble's unified platform delivers compared to traditional warehouse automation that stitches together fragmented point solutions. Kalouche's pitch in one number.
300+
Resumes Kalouche reviewed from Berkeley, MIT, and Stanford career fairs when building Nimble's founding engineering team. His standard: candidates had to stand out. Most didn't make the cut.
24/7
Nimble's robots don't call in sick, request overtime, or take lunch breaks. The autonomous fulfillment centers run continuously - the core economic advantage over human-operated 3PL providers.
1
The number of Amazon warehouses Kalouche considers the benchmark. Not Amazon's public metrics, not analyst benchmarks - just: are Nimble's robots better than Amazon's operations? Until yes, they're not done.

The board reads like a robotics hall of fame

Kalouche didn't collect advisors for credibility. These are the people whose technical judgment he trusts, and who trusted his commercial instincts enough to write checks when Nimble was just an idea.

Fei-Fei Li
Board Director - Advisor
The researcher who created ImageNet and co-founded AI4ALL. Former Chief Scientist of AI at Google Cloud. Simon's Stanford PhD advisor and earliest investor. Named "godmother of AI" by the press.
Marc Raibert
Board Director
Founder and Chairman of Boston Dynamics. The engineer who taught robots to run, flip, jump, and dance - and who built the company that made robot locomotion a cultural phenomenon.
Sebastian Thrun
Board Director
Founded Google X and Waymo. Built Stanley, the Stanford car that won the 2005 DARPA Grand Challenge. Co-founded Udacity. One of the most prolific technology founders of his generation.

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