The people behind Infinall AI
A lean, focused team building the campaign production engine for people who market their own product, SaaS, e-commerce, apps, and courses. Based in Hyderabad.
Ganesh Nayak
Founder & CEO
Building infinall.ai. Focused on making campaign production simpler for lean marketing teams. Previously built and shipped multiple products under OriMind.
Mahesh Kumar
Chief AI Engineer
Leads the AI agent pipeline, Intelligence, Strategy, Copy, and Ad Production agents. Focused on prompt engineering, model orchestration, and evaluation.
Varshith
Backend Engineer
Owns the platform backbone, API, database, payments, auth, and workspace infrastructure. Keeps the engine running.
Karthik
Frontend Engineer
Builds the product interface, campaign flow, creative review, Brand Brain editor, and everything users interact with.
What we are building
Infinall AI turns a product URL into a reviewed ad campaign. The system reads the page, researches the market and competitors, drafts a campaign strategy, writes placement specific ad copy, and produces image, carousel, and video creative for Meta, Google, and LinkedIn. Every asset lands in an Approval Queue, and nothing is exported until a person approves it.
The team above maps directly onto that pipeline. The agent work, the platform backbone, and the interface where campaigns are reviewed are each owned by someone who can see the whole path from URL to exported asset.
Why we work this way
Infinall is designed for marketers, agencies and people promoting their own digital products. They sell software, run online stores, ship apps, publish courses, and build creator tools. They are usually doing marketing alongside building, supporting, and selling, which means they do not have time to audit every line an AI produces.
That shaped two decisions we keep coming back to. First, output is grounded in what the product page and the research actually say, rather than generic copy that could describe anyone. Second, there is a deliberate review step before anything leaves the tool, because a person who knows their own product is still the best judge of whether a claim is true.
How we operate
The responsibilities listed above cover AI generation, backend services and the frontend review experience. To understand how those parts connect, follow the product workflow from research to an exported asset. To report a problem, use the contact page and describe the step where it happened.
If you want to see what the team has built, the clearest way is to use it. Read the product overview or run a URL through the pipeline yourself and judge the output directly.
Want to join?
See open roles →