About Katalyst · Founder-led from Memphis, TN
For two decades, Jazz has done one thing better than almost anyone alive: walk into the highest-pressure sales environments in the country and read what people are really protecting. Katalyst is that instinct — encoded, governed, and handed to everyone else.
$14B+
in career-generated revenue — the empirical record behind the system.
Most people spend a career learning to answer objections. Jazz spent one learning to read them — then built the machine that does it at scale.
The origin
The question
One question, asked ten thousand times.
Across high-trust sales floors — debt relief, payments, lending, collections — Jazz kept asking the same thing under every objection: what is this person actually protecting? Not what they said. What sat underneath it.
The environments
The hardest rooms in selling.
Compliance-heavy, emotional, high-consequence environments where the wrong sentence costs the deal — or worse. Debt relief, healthcare, insurance, vacation ownership, call centers at volume. The places generic sales advice goes to die.
The pattern
The same resistance, different clothes.
Reading that signal at scale revealed a repeatable structure. Price, timing, trust, ghosting, founder fog, renewal risk — different words, the same protective instinct underneath. That pattern is the intellectual property.
The mind
Pattern recognition as a native language.
A Mensa member since age twelve and an MIT Solve open-innovation semifinalist, Jazz processes resistance the way others process a spreadsheet — instantly, structurally, and without flinching at the emotional part most people avoid.
The system
From one operator's instinct to a governed engine.
Katalyst encodes that instinct: it reads friction, filters for quality and safety, remembers what works, and turns it into language anyone can use — with boundaries built directly in. Founder-led, built in Memphis, TN.
Operating proof
Before it was software, the same way of reading resistance scaled revenue across consumer finance, payments, staffing, telecom, SaaS, and founder-led GTM. Katalyst didn't theorize the category — it backed into it after generating the proof.
$14B+
Career-generated revenue across industries
$1.04B
Enrolled debt scaled in 13 months — NDR / AmOne
$11.2M
Incremental channel revenue — Randstad
$10K→$60M
ARR growth — DataOwl to Fyllo under SAVNT
$20M
Series A growth path — FictoTV / Zash / Bash / SAVNT
3→145
Rep scale — Amex OptBlue / SMB payments
42%
SMB revenue growth through GTM execution
MIT Solve
Open innovation — semifinalist context
Experience, outcomes, and prior work history. Company names are work-history context only — not endorsements, partnerships, current-client claims, legal conclusions, or confidential implementation disclosures.
Customers, partners, operators, and category-aligned investors — start the conversation here.