Built without institutional capital. Now open for fundraising.
Nova's founder funded the platform to production. Friends and family joined him. No venture firm has been on the cap table, and that was a choice rather than a constraint. We are now opening the fundraising to a small number of partners.
Most companies at this stage are still building. Nova is running real restaurant operations every day, and it got there on capital from the founder and the people closest to the company. That was deliberate. It meant the platform had to earn its way into production instead of being funded into existence.
Founded
Built by operators from Tesla and Tekion around one unified data layer, from the first line of code.
Founder-funded
Funded by the founder, and carried far past the point most companies raise to reach.
Friends & family
Joined by people who had watched this team build vertical platforms before and did not need the pitch.
Open to Investment
The first round open to outside institutions. Raising to meet enterprise demand and deepen the AI platform.
Why Nova
The thesis, in one paragraph.
Restaurant technology is a $40-72B addressable market, and the operators have voted with their wallets: legacy stacks of 10-18 vendors don't work. The opening is for one platform that consolidates the stack and brings AI to every layer. That's the bet.
Right architecture
Every module on one unified data layer from day one. The thing legacy vendors structurally can't retrofit.
AI-native
Voice, Vision, Reporting, Marketing and Omni-channel AI built into the platform - not bolted on after the fact.
Right team
Built by operators who shipped Tekion to a unicorn, Tesla's vertical OS for 12 years, and customer ops at Tesla and BMW.
Restaurant-first
Built for the way restaurants actually run - 73.9% staff turnover, multi-channel guest flows, real-time everything.
Land & expand model
Operators land with digital, expand into front of house, dominate with back office over 2-3 years. Capital-efficient growth.
Compounding moat
Every transaction trains the AI. Every customer adds to the unified data layer. The platform gets smarter with scale.
Why Nova
What the Series A funds.
Enterprise deployment capacity
Implementation, integration, and support depth to take multi-thousand-location brands live without slowing the product roadmap.
Depth in the AI platform
Extending Voice, Vision, Reporting, Marketing, and Omni-channel AI on the unified data layer, and the infrastructure that trains on it.
Repeatable go-to-market
Moving from operator-led and referral growth to a repeatable enterprise motion, with the partner and channel structure to match.
Why early matters
The data advantage compounds. Entry points don't.
Nova gets more valuable with every transaction that lands on the unified data layer, because that is what the AI learns from. The company will not be at this stage twice. The Series A is the last point where a partner can help shape the platform and the category position rather than buy into a finished story. We are keeping the round tight, and we would rather have the right partners than a long list of them.
