AI is quietly turning every product into a connected device. I've spent 25 years building connected device companies that scale and sell.

I'm Tebe Williams. Twenty-five years across SaaS, robotics, connected devices, and Physical AI. Founder, builder, scaler from early stage to exit. Fleets of 20,000+ autonomous devices, running unmanned around the clock. Two high-value exits. I help teams build the operating and financial systems that make connected devices succeed.

20K+
Devices in My Fleets
600%
Revenue Growth
<1%
Customer Churn
8.3x
Record ARR Sale Multiple
Tebe Williams
About
Built at the Edge of the Internet

The teams I have led have deployed more than 20,000 kiosks and AI-enabled robots. These are products you have used without noticing, from the grocery store to the hardware store to the country club. I have watched what connects them change from dial-up to the edge of the internet and AI compute in the cloud.

Companies can see what their products could become now: Trading data, making decisions, a more sophisticated version of themselves built on AI. Far less thought goes into what happens after launch. The deployment strategy, the unit economics, and the support systems for both the device and the customer have to rise to the level the product just reached.

I have guided two companies through high-value exits, and I know which systems have to exist to grow, to hold churn near zero, and to keep that value over time. The services around a connected device are treated as secondary. They are the primary ones. If they do not work, the device never will.

📡 Unmanned at Scale

20,000 devices running 24/7 with nobody on site. Redundant compute, intermittent connectivity, remote diagnostics. The support system was the product.

🤝 Churn Under 1%

Not a retention campaign. The result of a support model designed before the fleet scaled, not after it started failing.

📝 Contracts That Held

Moved customers from monthly to three-year commitments while revenue grew 600%. Service quality is what made the term possible.

🏆 What the Buyer Paid For

8.3x ARR, the highest multiple the acquirer had ever paid. They credited the attrition profile, not the hardware.


Expertise
What I Bring to the Table
Hands-on operator who has grown businesses from a blank page to exit. This is how I delivered the results.
🤖

Physical AI Systems

End-to-end experience designing, deploying, and managing robotic and AI-enabled products in edge-of-internet environments with hardware constraints and latency sensitivity.

🌐

Edge & IoT Deployment

Architected nationwide deployment of autonomous systems operating 24/7 without field staff. Designed redundant compute, intermittent connectivity solutions, and remote diagnostics.

🚀

Scaling Operations

Designed operating models with predictable unit economics and org structures that absorb minimum 10x growth. Scaled VS Networks from 250 to 20,000+ locations.

🔍

Product Readiness

Took products from working prototype to volume deployment across kiosk and robotics fleets. Pressure-tested form factor, power, serviceability, and SKU complexity before the production run rather than after.

💰

Capital, M&A and Exits

Built the capital structures, equipment financing, and investor relationships that carried two companies from early stage to acquisition. One sold at an 8.3x revenue multiple, the highest the acquirer had ever paid.

📈

Revenue Growth & Retention

600% revenue growth with under 1% churn. Moved contracts from monthly to 3-year commitments, building the attrition profile that drove record valuations.


Consulting Services
01

Field Operations Advisory

A software bug or a late delivery comes with a script. A connected device failing in a customer's hands does not, so design the system that holds uptime and shows them you are already on it.

Field Ops AuditSupport EconomicsDeployment at ScalePreemptive Remote DiagnosticsCustomer Success 2.0
02

Strategic Finance Services

Your initial model and forecast are built. Now the assumptions underneath need critical depth, across every driver of financial performance from development through scale.

R&D CostingDevelopment TimelineUnit EconomicsEfficient ScalingInvestors & Fundraising
03

Pre-Product Launch Due Diligence

Your prototype has cleared the bar in the field. Before you fund a production run or a new market, find the variables that only show up at scale.

Shipping & StoragePower EnduranceField ServiceabilitySite ConditionsSKU Complexity

Where are you stuck?

A pilot that will not scale, support costs that will not hold, a board that needs the story. Tell me about your issues and we will talk them through.

Start a Conversation →

Articles

Field Operations Advisory

Somewhere out there a unit has stopped working and a customer is standing in front of it. These are about the company you become once that is a daily event.

Customer Success

The Ticket Isn't Closed Until Confidence Is Repaired

Repairing a connected device is two repairs. One for the machine, one for the customer's confidence that it is as good as it was.

Market Entry

Your New Market Is Not the Same Song, Second Verse

The product travels and the playbook travels. The proximity does not, and proximity was doing more work than anyone wrote down.

Operations

The 30th Deployment Is a Different Company

The team that built the prototype cannot also operate 30 deployments and build the next version. Most Physical AI founders find that out too late to fix it.

Customer Retention

Your New AI Bot Is Not the Answer to Achieving Low Churn With Your Physical AI Products

The bot looks great in the budget meeting. Here is what that slide did not show you.

Edge Compute

Edge Computing Is an Uptime Decision, Not an IT One

Ask what it costs when the system goes down. Then notice that moving compute to the edge hands you a second fleet to keep running.

Data

Your Deployment Is Generating Two Assets. Your Ops Stack Is Only Catching One.

Every unit in the field reports on itself. Most companies never build the pipeline, then hear about every failure from an angry phone call.

Strategic Finance Services

The pitch lands and the model says it works. These are about the costs that show up later, and the ones that show up on the cap table.

Pricing

Physical AI Companies Are Pricing Their Way Into a Bad Business

SaaS economics work because of what is not on the balance sheet. RaaS does not get that exemption, and the pricing model is a cap-table decision dressed up as a sales decision.

Go-to-Market

Why the CFO Should Run Your Physical AI Go-to-Market

The sales motion is a financial problem first. Most companies staff it like a sales problem and wonder why it stalls.

Equipment Finance

Equipment Financing as a Growth Lever (If Anyone Will Write the Loan)

Physical AI is breaking the foundational logic of equipment lending. The collateral problem is real, but the opportunity on the other side is enormous.

Capital Allocation

Calling It Physical AI When It's IoT Is a Capital Allocation Problem

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.

Pre-Product Launch Due Diligence

Before any of this reaches a customer, there is a stretch where the expensive mistakes are still cheap to fix. These are about that window.

Product Discovery

You Built the Wrong Thing First

The most expensive mistake in Physical AI is building a product nobody asked for. The simpler version always exists.

Customer Fit

You're Selling to the Wrong Person

The first customer is rarely the right customer. The ones that figure this out early are the ones that scale.

Build vs Buy

The Off-the-Shelf Robot Trap

Find a robot that already exists, layer AI on top, ship a product. The companies that tried this are now rebuilding from scratch.

Pilot Design

Pilot Purgatory

Getting a Physical AI pilot approved is the easy part. Getting out of one is where most companies lose months they never recover.

Liability

Physical AI Is Deploying Into a Liability Vacuum

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.

Physical AI Explained

General-audience pieces breaking down what Physical AI is and where it is going.

IoT vs AI

Could You Explain IoT and Physical AI at a Party? Most People Can't.

They can look identical from the outside. The distinction is getting blurred in ways that are starting to matter. A plain-English attempt to draw the line.

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Portfolio
Products I've Built & Scaled
Real products, real deployments, real exits. From autonomous robotics to 20,000-location kiosk networks.
Volley Volley Volley
Physical AIRoboticsCo-Founder

Volley LLC

Co-Founder 2020–2026

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.

200+
Installations Nationwide
15K
Active Customers
24/7
Autonomous Operation
0
On-Site Staff Required
AGCO Ace Hardware BGE Honda John Deere Milwaukee
VS Networks
DIB Mack STIHL True Value Volvo YETI
SaaSData PlatformCOO

VS Networks LLC

COO 2015–2021

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 600% revenue growth with under 1% customer churn - the attrition profile that buyers directly credited for the record acquisition multiple.

8.3x
Record ARR Sale Multiple
44%
Investor IRR
20K+
Kiosk Deployments
<1%
Customer Churn
Superior Tech
RoboticsAgritechCOO

Superior Tech Inc.

COO 2020–2021

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.

333%
Product Launch Acceleration
125%
Revenue to Target
18%
Investor IRR
5K
Annual Unit Production
Outerwall Outerwall Outerwall
EntertainmentDistributed Computer NetworksSr. Manager, Strategy

Outerwall Inc

Sr. Manager, Strategy 2011–2015

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.

$1B
Strategic Planning Budget
$150M
Direct Revenue Creation
1x (Continental EU)
New Markets Unlocked
20K+
Kiosks Across Holdings

Open to conversations about CEO and CFO roles in connected device businesses. Get in touch.


Contact
Let's Talk
I work with teams building and scaling connected devices. Be as specific as you can about what is going wrong, and we can dig in right away.

Prefer email? tebe@tebewilliams.ai