I'm Tebe Williams. SaaS, robotics, Physical AI executive. Builder and scaler from early stage to exit. 50,000+ autonomous devices deployed. Two high-value exits. Ready to lead. Looking for the right company.
I have spent 25 years building SaaS, robotics, and Physical AI companies. The teams I have led deployed over 50,000 kiosks and AI-enabled robots worldwide. Products you have encountered in your daily life, from the grocery store and hardware store to the country club.
Most of the time, you do not even realize how intelligent the terminal or equipment is. That is the point. Game-changing AI products create the consumer experience as it should be. Not as it was. Not with unnecessary bells and whistles.
I have guided these companies through two high-value exits. I know what it takes to build the operating systems, the customer engine, and the strategic plans that turn Physical AI concepts into scalable businesses. The greatest version of what you imagine the product will be is usually 10% relevant. I start with the 10%.
Strategy and operations from one of the world's top business schools
Board member at Entrepreneur's Organization. Mentor & pitch judge for Future Founders and EO Global Student Entrepreneur Awards.
First to turn the wrench. Closing early deals, fixing processes, building the operating model. Then building systems that run without heroics.
Build the systems and processes that support 10+ years of reliable execution and solid economics while scaling.
End-to-end experience designing, deploying, and managing robotic and AI-enabled products in edge-of-internet environments with hardware constraints and latency sensitivity.
Designed the capital structures, equipment financing, and investor relationships that took two companies from early stage through PE and strategic acquisitions. I know what buyers look for because I have been on both sides of the table.
Designed operating models with predictable unit economics and org structures that absorb minimum 10x growth. Scaled VS Networks from 250 to 20,000+ locations.
Led companies through PE and strategic acquisitions. Achieved an 8.3x revenue multiple - the highest ever paid by the acquirer. Background in Deutsche Bank and Lincoln International M&A.
Architected nationwide deployment of autonomous systems operating 24/7 without field staff. Designed redundant compute, intermittent connectivity solutions, and remote diagnostics.
700% revenue growth with under 1% churn. Moved contracts from monthly to 3-year commitments, building the attrition profile that drove record valuations.
Autonomous AI-enabled robotic training system for racquet sports. Volley uses computer vision to map the court, identify the player, and track the ball in real time - making split-second reactive decisions to give players live-play training scenarios on their own time.
Designed the edge computing architecture to run redundant high-processing compute systems within each trainer, with data flowing through intermittent, low-bandwidth cloud connections. Customers don't perceive a difference between Volley and cloud-based AI systems.
In-store digital kiosk network providing interactive sales tools, product catalog touchscreens, and critical data collection for major brands across 20,000+ retail locations nationwide.
Transformed VS Networks from a single-client side business into a diversified, data-centric platform. Built the sales, customer success, tech support, and HR departments from scratch. Drove 700% revenue growth with under 1% customer churn - the attrition profile that buyers directly credited for the record acquisition multiple.
Agritech company specializing in robotic sprayers. After an acquisition failure, took over COO role during a new 18-month sale process to drive performance against acquirer set targets.
Spearheaded a product development turnaround, reducing launch time from 20 to 6 months. Maintained full operations during COVID, exceeding revenue forecasts (125% of target). Led the company through acquisition by Agri-Fab, delivering an 18% IRR to investors.
Outerwall was the holding company for Redbox, Coinstar, ecoATM and several other growth kiosk assets. At the time, OUTR was the most shorted stock on the NASDAQ, given its DVD business. My mandate was driving profit and discovering new revenue opportunities.
Led $150M Coinstar expansion across continental Europe. Acted as early-stage General Manager, overseeing recruitment and product to ensure successful market entry. Directed annual planning, aligning five-year strategic plans across holdings to meet board-approved targets.
Evaluating whether your product is ready for AI augmentation. Ensuring goals, form factor, power, and performance accuracy align before you invest.
Operating models, cost projections, and board-ready materials to capture benefits and communicate tradeoffs of Physical AI investment.
Designing support systems, diagnostics, customer success strategies, and contracting frameworks before uptime becomes a problem.
Turning CAPEX into growth leverage. Financing packages that let you deploy without dilutive equity raises - including lender introductions and cashflow modeling.
Whether you are evaluating a Physical AI concept or scaling a nationwide deployment, I can help navigate the operational and strategic complexity.
Start a Conversation →Articles for operators and leaders navigating Physical AI decisions.
The contracts are borrowed from SaaS. The insurance is built for hardware. Neither fits. That gap is sitting inside every deployment contract you have signed.
Investors and operators are misclassifying IoT and Physical AI at a rate that will show up in returns and rebuild costs before this decade is over.
When your product lives at the edge of the internet, every assumption about support, uptime, and unit economics needs rethinking.
Physical AI is breaking the foundational logic of equipment lending. The collateral problem is real, but the opportunity on the other side is enormous.
The bot looks great in the budget meeting. Here is what that slide did not show you.
Find a robot that already exists, layer AI on top, ship a product. The companies that tried this are now rebuilding from scratch.
The most expensive mistake in Physical AI is building a product nobody asked for. The simpler version always exists.
The first customer is rarely the right customer. The ones that figure this out early are the ones that scale.
The sales motion is a financial problem first. Most companies staff it like a sales problem and wonder why it stalls.
General-audience pieces breaking down what Physical AI is and where it's going.
And here's my AI thoughts junk drawer
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