Highlights

Trusted and trained by the best.

Verizon

Fortune 50 · Leader in American telecommunications

HP Poly

Fortune 100 · Leader in computing and communication

Cisco

Fortune 100 · Leader in networking and cybersecurity

Citi

Fortune 50 · Top 5 financial institution in the US

Honeywell COM DEV

Fortune 100 · Conglomerate in aerospace and technology

Google for Entrepreneurs

Google’s global startup ecosystem program

Accelerator Centre

Canada’s leading technology accelerator

Johns Hopkins University

World-renowned research university

HEC Paris

Top 10 global MBA

Technologist

11 patents. In AI that matters.

The patent portfolio McKinsey, Bain and BCG doesn’t have.

US-11798149-B2

Real-Time AI Removal of Reflection in Video Conferencing

AI Vision Product AI Transformation

AI inference applied to the live video capture feed detects and removes reflected content in real time, before it reaches other participants. The system runs without user intervention, protecting sensitive on-screen content and improving the call experience.

Patent diagram for reflection removal

US-11751033-B2

Zero Touch Automatic Wireless Pairing for New Devices

Connectivity Product GTM

Wireless devices pair automatically on first use, without any user-initiated setup. The system detects unassociated devices and completes the pairing sequence through an intelligent handshake - faster rollouts, fewer support tickets, seamless out-of-box experience.

Patent diagram for zero touch pairing

US-11146602-B1 / US-11831695-B2

AI Inference on Real Time Device Usage to Determine User Behavior

Edge AI Product AI Transformation

AI inference applied to real-time device telemetry derives user presence and behavioral status passively, from signals the device already generates. Smarter presence, automated do-not-disturb, and context-aware communication routing - without invasive monitoring.

Patent diagram for AI inference on real-time device usage

US-11272048-B1

Automatic Cloud and Mesh Orchestration of Wireless Devices for Users

Connectivity Product GTM

Cloud and mesh networking orchestrate headset connections dynamically across a user’s device ecosystem. Connection state is managed centrally and distributed through a mesh layer - eliminating manual switching across enterprise device populations.

Patent diagram for cloud and mesh orchestration

US-20220215849-A1

Edge AI Inference Processing System in Wireless Connection Hardware

Edge AI Product AI Transformation

An inference processing unit integrated directly into wireless connection base hardware lets AI workloads execute at the edge - no round-trip to the cloud. Real-time AI audio and video processing in environments where cloud is constrained or prohibited.

Patent diagram for edge AI inference hardware

US-20220124407-A1

Automated AI Content Analysis, Rating and Filtering in Real Time Data Streams

AI Content Product AI Transformation

AI inference applied to live data streams analyzes and rates content as it flows, filtering according to configurable criteria before it reaches the end user. A scalable, policy-driven content layer with no buffering or human review step in the loop.

Patent diagram for AI content analysis and filtering

Results

Proven results.

Leading from Vision to Strategy to Results.

$100M ARR

Launch and scale a B2B AI SaaS solution in under 1 year.

$500M

Conceive, prototype and launch a new category of connected hardware device.

$150M

Negotiate and secure a multi-year hardware co-design partnership with a Fortune 50.

Hardware-as-a-Service

Shifted enterprise hardware customers from capital purchase to recurring subscription revenue.

Joint Venture

Drove a 13-party joint venture to monetize and scale telecom network APIs.

IP Licensing

Architected and closed a strategic AI patent licensing deal with a top-5 CCaaS provider.

Background

A perfect storm had emerged. Pricing per unit of hardware product was declining - revenues were declining. The portfolio had been slow to refresh - loss of differentiation. Customers weren’t attaching services - smaller deal sizes. This hardware company needed a new playbook. They needed a new product portfolio that wouldn’t just stand alone as a money maker, but would make the whole company shine.

Execution

Through deep market, competitive, and customer research, engaging both buyers and users, a product strategy was formed. I architected and drove execution of a software and services product portfolio, designed to have appeal to the channel, the buyers, and the users. It would not only drive SaaS recurring revenue, but it would enhance the hardware portfolio with patented AI capabilities driving differentiation, stickiness, and a high rate of attach.

Results

$100M ARR

From the first channel calls it was clear they thought we had a winner. The analysts were blown away at the transformation. Within 6 months of launching the product globally, supporting more than 10,000 channel partners, the product hit $100M ARR, and kept growing.

Background

A mature hardware business with strong market position was losing ground in a category being redefined by software-native competitors. The product was good. The go-to-market was not. Channel partners were selling on specs. Buyers weren’t understanding the value. Revenue had plateaued and the competitive gap was widening.

Execution

A full audit of the product, positioning, and channel motion identified the core problem: the value proposition was being lost in translation between product and the people selling it. I rebuilt the GTM motion from the channel up, reframing how the product was positioned, how partners were enabled, and how the value story reached buyers. Compensation structures were redesigned to reward the right behavior. The channel started selling differently.

Results

2× Revenue

Revenue doubled. In a competitive landscape where most players were fighting for incremental share, a repositioned product and a retrained channel produced a 2× outcome. The transformation wasn’t a product launch. It was a GTM rebuild that made an existing product perform like a new one.

Background

Poly had 100M+ connected devices in the field and almost no visibility into how they were actually being used. Sales knew what CRM told them. Marketing knew what pixels and analysts reported. Product learned from customer calls. Operations found out something was wrong when warranties were claimed. Every function had its own version of reality, all of it lagging, none of it talking to the others. The product was generating signal constantly. No one was listening.

Execution

I delivered Mirror, an enterprise data intelligence platform ingesting real-time telemetry from 100M+ connected devices into a centralized data lake with a SQL-queryable layer on top. Dashboards were co-created with Sales, Marketing, Product, Supply Chain, and Finance, so each function’s view was built around the decisions they actually needed to make. The goal wasn’t a reporting tool. It was a shared surface where functions could sit together and look at the same reality.

Results

Data Driven Decisions

Manual reporting cycles gave way to at-your-fingertips dashboarding. The shift that mattered most wasn’t speed, though decisions moved faster. It was fidelity. Leadership conversations stopped being about whose data was right and started being about what to do. When every function is looking at the same truth, the debate moves from reconciling sources to actually bending the curve.

Background

COM DEV had been inside 80% of the communication satellites ever launched. That’s not a market position, it’s a foundation of the industry. But foundations don’t grow. The number of satellites launched each year was constrained by the number of rockets available. With dominant share already captured and new entrants applying price pressure from below, the math was unfavorable. Meanwhile a new frontier was opening: communication satellites could now beam connectivity directly to commercial aircraft, and the fundamental questions were still open.

Execution

I led the strategic work to answer those questions. Market sizing from first principles: fleet sizes, adoption curves, certification timelines, revenue per aircraft. Competitive landscape mapping across the emerging players and the incumbents repositioning toward the category. Build, partner, and acquire options stress-tested against COM DEV’s actual capabilities and balance sheet. The output was a 10-year strategic growth plan that gave leadership a clear view of the opportunity size, the path to capture it, and the decision points along the way.

Results

$455M Acquisition

The plan became a foundational input to COM DEV’s strategic positioning in the aerospace connectivity category. Within the same period, Honeywell acquired COM DEV for $455M, with the aviation satellite communication business and its growth trajectory as a central part of the investment thesis. The bet on in-plane connectivity wasn’t just a strategic recommendation. It was the value story that attracted a Fortune 100 acquirer.

Products

Applied AI, shipped under our own name.

Three products that demonstrate how we think about AI in practice - when to use it, when not to, and where the real leverage lives.

Job Search / Browser Extension

ApplyTalon

When everyone else reached for an LLM, we didn’t. ApplyTalon auto-fills job applications across 15+ ATS platforms using pattern recognition and local recall - no AI, no cloud, no data leaving the browser. A deliberate architectural decision: cloud-based AI competitors generate synthetic content recruiters are filtering out, charge recurring costs tied to someone else’s compute, and harvest career data as the real product. A local vault with zero AI solves all three problems at once.

applytalon.com

Job Search / Edge AI

ResumeOracle

Most AI resume tools run in the cloud, charging per token and sending your career data to someone else’s servers. ResumeOracle takes the opposite position. Inference runs locally, on your device, with no round-trip to the cloud required. It integrates directly into your workflow without friction, runs fast enough to be part of the application process, and costs a fraction of cloud-dependent alternatives. Your data stays yours.

resumeoracle.ai

AI Infrastructure / Open Source

Telementy MCP

Vibe coding has changed how fast products get built. What it hasn’t solved is the feedback loop. Telementy MCP is an open-source telemetry and analytics platform built for that reality - SQL-backed data infrastructure with a traditional GUI for analytics users and a Model Context Protocol server that exposes structured data directly to LLM agents. Instead of building dashboards and waiting for answers, you ask your data questions in plain language and get them back immediately.

Confidential Impact

What we can tell you.

Often Supergrover works under NDA. Here’s what we can tell you while staying true to our client commitments.

3 Continents

Confidential engagements spanning North America, Europe, and Asia Pacific.

12+ Industries

Work delivered across enterprise tech, SaaS, fintech, aerospace, telecom, healthcare, logistics, and more.

60+ Ventures

Startups and growth-stage companies advised across North America and beyond.

$3B+ in Exits

Value recognized by investors, founders, and employees across Supergrover-involved companies.

SaaS / GTM

Unlocking Enterprise Distribution for a B2B SaaS on the Verge of a Breakout

A B2B SaaS company with strong product-market fit had built early traction but couldn’t convert it into repeatable enterprise revenue. The sales motion was founder-led and unscalable. ICP was loosely defined. The channel wasn’t producing. A full GTM audit identified the gaps: wrong buyers, value prop not landing at the economic buyer level, and no structured enterprise sales motion. A revised ICP, a rebuilt sales playbook, and a new channel enablement program unlocked the growth trajectory the product deserved. The company was subsequently acquired.

Company Confidential (Acquired)

Enterprise / Product

Embedding AI Into a Legacy Product Line Without Disrupting What Already Worked

A mature software company had built a loyal customer base on a product that worked. The pressure to embed AI capabilities was real - from the market, from competitors, from the board - but the risk of disrupting existing revenue streams was equally real. A sequenced AI product roadmap was developed, prioritizing high-ROI use cases that could ship without requiring infrastructure overhaul or retraining the existing customer base. The first AI-enhanced product line launched on time, exceeded attach rate targets in the first 90 days, and expanded the company’s addressable market without cannibalizing what came before. The company was subsequently acquired.

Company Confidential (Acquired)

IP Strategy / GTM

When the Patent Is the Business Model, Not the Moat

A university spinout had a clever hardware product, a real form-factor innovation, and a DTC retail plan that would have gotten them killed. The underlying science was published. Any well-capitalized incumbent could replicate the product once the market was proven. The engagement rewrote the relationship between IP and GTM: narrow the claims to what was actually novel and grantable, secure freedom-to-operate, clean up co-inventor assignment, and let the IP shape the model. A narrow application-method patent doesn’t win a DTC retail war - it does make the company an attractive licensing or bundling partner for incumbents. The retail plan got smaller. A partnership with an established producer carried the volume. The company became defensible - not because the technology was unique, but because the contract structure made copying it pointless.

Company Confidential

If any of this looks like your situation, let’s talk.

Every engagement starts with a conversation about what’s not working. We figure out the right shape from there.