Sparkonomy

Sparkonomy is building the agentic intelligence layer underneath the creator economy. For years, "AI for creators" meant a faster brush — better image models, better voice clones, better autocomplete. Sparkonomy is after the harder, more valuable shift: agentic systems that don’t just generate, but act. They read, reason, call tools, and complete tasks end to end.

The thesis is simple: the most underrated story in tech isn’t AI making art — it’s AI making it possible for creators to keep making art. The boring, career-killing work is finally delegatable to software that executes rather than just suggests — chasing payments, reconciling invoices with contracts, parsing twelve-page brand deals, replying to the same five DMs, and juggling calendars and tax deadlines.

Sparkonomy builds agentic systems that understand creator identity at depth — enabling smarter discovery, richer connections, and a more efficient creator economy. The brush got smarter years ago; now the studio around the artist is getting smarter too.

As founding engineer, Naad works on the AI infrastructure and scalable systems behind this — the precision, memory, constraints, and context management that turn capable models into dependable agents. The bet: build the layer that lets creators spend their time on craft, not on admin.