Mandeep, Mommi, Matthew, and Ethan met through internet communities, grew a Discord of more than 1,500 builders, and turned those conversations into InferenceSaver: one place to discover models, buy credits, route requests, and ship AI workflows.
The numbers matter because they came from people we actually met, helped, learned from, and built alongside.
1,500+
builders in our Discord
The first signal was not a landing page or investor deck. It was a Discord full of builders, salespeople, operators, and AI-curious founders trading workflows and telling us what they needed next.
1,500+
builders in our Discord
The first signal was not a landing page or investor deck. It was a Discord full of builders, salespeople, operators, and AI-curious founders trading workflows and telling us what they needed next.
4
teammates building from day one
Mandeep, Mommi, Matthew, and Ethan met through travel, online communities, customer conversations, and AI tooling experiments before deciding the strongest move was to build together.
Every model
one place to build with AI
The more people built with AI, the more painful provider accounts, pricing, routing, and model discovery became. InferenceSaver is our answer to that complexity.
1,500+
builders in our Discord
The first signal was not a landing page or investor deck. It was a Discord full of builders, salespeople, operators, and AI-curious founders trading workflows and telling us what they needed next.
4
teammates building from day one
Mandeep, Mommi, Matthew, and Ethan met through travel, online communities, customer conversations, and AI tooling experiments before deciding the strongest move was to build together.
Every model
one place to build with AI
The more people built with AI, the more painful provider accounts, pricing, routing, and model discovery became. InferenceSaver is our answer to that complexity.
1,500+
builders in our Discord
The first signal was not a landing page or investor deck. It was a Discord full of builders, salespeople, operators, and AI-curious founders trading workflows and telling us what they needed next.
4
teammates building from day one
Mandeep, Mommi, Matthew, and Ethan met through travel, online communities, customer conversations, and AI tooling experiments before deciding the strongest move was to build together.
Every model
one place to build with AI
The more people built with AI, the more painful provider accounts, pricing, routing, and model discovery became. InferenceSaver is our answer to that complexity.
Matthew meets Mandeep
While traveling through Hanoi, Vietnam, Matthew met Mandeep and learned he was a talented software developer. Matthew was a solo builder working on an AI-powered digital SDR platform using open-source models, and the two became instant friends talking through the product, the market, and what AI could do for sales teams.
From Canada to China
When Mandeep returned to Canada and Matthew traveled to China to start a new business and sharpen his sales skills, they kept talking. The original idea was not InferenceSaver yet. It was sales software: a better way to use AI to support outreach, conversations, and customer-facing teams.
We are building InferenceSaver with the same internet-native energy that brought the first community together.
Mandeep
Product & Engineering
Product direction, community, and AI workflows
Mommi
Creative & Customer
Creative systems, customer energy, and launch storytelling
Matthew
Infrastructure & Operations
Infrastructure, operations, and developer experience
Matthew meets Mommi
Matthew found an online sales community through YouTube, was introduced to a larger group, and met Mommi there. Mommi was building an AI tool for customer service representatives. With a shared understanding of product, customer support, and sales, Matthew and Mommi started working together on software that could combine both ideas.
Community becomes the center
As the software evolved, the community became the heartbeat of the work. Salespeople, builders, operators, and AI-curious founders joined the Discord, shared feedback, and pushed the team to make the product more useful. That community grew to more than 1,500 people.
Matthew meets Ethan
While traveling back to Vietnam, Matthew was introduced to Ethan through a friend operating an online store for AI tools. Ethan understood the builder side of the market, the team clicked individually, and it became obvious that everyone would be stronger working together.
The product sharpens
The team came together around a bigger opportunity: make advanced AI infrastructure easier for builders. InferenceSaver became the place to discover models, buy credits, route requests, and build with AI without fighting provider accounts, broken workflows, or unnecessary costs.
Ethan
Engineering & Support
Engineering, product surfaces, and builder support
