One platform to operate and manage your restaurants. AI built in, not added on.
Nova runs the whole restaurant, from digital ordering to the front of house to the back office, on infrastructure designed for AI from day one. Every module reads and writes to the same data layer. The AI is not an integration you buy later. It ships with the platform.
Our mission
Restaurants don't need another POS. They need an operating system.
Every category-defining business of the last decade - Tesla, Amazon, Apple - won by building the vertically integrated operating system, not by selling the best individual tool. Restaurants are the same bet, and the industry hasn't seen the winner yet.
Most restaurants today run on 10-18 disconnected systems. AI can't optimize what it can't see. We started Nova to change that - by building, from day one, the single platform every restaurant module reads and writes to.
Why now
The next decade of restaurant software is AI-native.
Artificial intelligence isn't another feature to add to restaurant software. It changes how restaurant platforms must be built. Legacy systems were designed around disconnected products and integrations, limiting what AI can understand, automate, and improve because the data is fragmented across multiple systems.
Nova was built differently. From day one, every product has shared a single, unified data platform, giving AI complete operational context across every order, every employee, every guest, and every restaurant. The result is software that continuously learns, recommends, automates, and improves every location with every transaction.
AI needs the whole story, not a slice of it.
Connected Vertically
From the guest order to the kitchen line to the P&L. One record, followed end to end, with nothing lost at a handoff.
Connected Horizontally
Across every location, channel, and daypart. One model, learning from all of it, instead of ten models learning from fragments.
This is the window.
The AI advantage in restaurants is being decided in this cycle, not the next one. Every transaction on a unified data layer makes the model sharper, and that lead compounds. Operators who wait will spend the decade integrating while the rest are already compounding. This is the window.
By design
How Nova is put together.
4
Suites on one platform: Digital, Front of House, Back Office, AI Platform
7-10+
Vendors typically replaced per deployment
5
AI capabilities, one operating system
100%
Of modules on one unified data layer
Team
Built by operators who built Tesla Enterprise Platform.
Our founding team and advisors have shipped enterprise platform software at unicorn scale and run global restaurant operations at category-defining scale.
Anand Ramakotti
Founder & CEO
Co-founder of Tekion, where he built the core platform behind a unicorn company. Previously led enterprise systems architecture at Tesla. Has shipped vertical operating systems at every previous stop.
Tobias Duschi
Chief Operating Officer
Scaled Tesla's customer operations from 1K to 500K+ customers. Operational leader across Tesla and BMW. Brings the operational playbook for scaling a vertical operating system globally.
Leads Nova's engineering organization in Chennai and the cloud infrastructure the platform runs on. Has spent his career building product and engineering teams, and owns the systems that keep multi-location restaurant operations running in real time.
Matthew Gephart
VP, Operations
Program management leader from Tesla, where he ran service program management inside the global service organization. Previously VP of Business Intelligence at Motivate and a manager at PwC. MBA in finance and strategy from SMU Cox.
Anand Gopalakrishnan
Director, Software Engineering
Leads platform engineering from Chennai. Previously at Tekion, building the engineering organization behind an automotive retail operating system, and before that Zuora, Tech Mahindra, and Aspire Systems. Close to three decades delivering enterprise software.
Ryan Pimlott
Sr. Director, Enterprise Sales
Enterprise GTM leader with a proven track record of landing and expanding Fortune 500 and large enterprise accounts. Early team member at several high-growth companies, including a unicorn and an acquisition. Previously held GTM leadership, enterprise sales, and solutions consulting roles at OLOID, Apttus (now Conga), and MindTickle.
Christian Wray
Director, Enterprise Solutions
Leads enterprise solution design at Nova, translating multi-location operator requirements into platform configuration and rollout.
Strategic advisors
Operators who've run the industry.
Board & executive advisors
Jessie Dosanjh
President of California Automotive Retailing Group, a Bay Area dealer group spanning 17 manufacturers. Brings the operator's view of running a large multi-location, multi-brand retail business on integrated technology.
Nagesh Saldi
Former CIO of Tesla, reporting to Elon Musk for 12 years - built Tesla's vertically integrated global OS across manufacturing, supply chain, service and retail. Former VP at HP.
Technology advisors
Raj Jegannathan
Spent over 13 years at Tesla, most recently as VP of IT, AI infrastructure, business applications and information security, reporting directly to Elon Musk. Led the teams that designed and operated one of the world's largest GPU clusters. Now CTO at ChronoScale.
Maha Virudhagiri
First CTO at Coalition, leading engineering, IT, infosec, data, and AI. Spent nearly seven years at Tesla running the Global Digital Experience organization across web, mobile, and kiosk. Earlier at Ancestry, Walmart Labs, and Cognizant.
Strategic advisors
Katie Young
Former SVP at Starbucks. Ex-McKinsey. Deep operating experience scaling consumer brands and restaurant operations at global scale. Advises on consumer brand growth and operations.
Ronald Dorsten
Former CTO at Steak 'n Shake. Operator and technologist with decades of experience running restaurant technology at multi-thousand-location scale. Advises on enterprise restaurant technology.
Chakri Somisetti
VP of IT at Restaurant Brands International (Tim Hortons, Burger King, Popeyes, Firehouse Subs). Enterprise restaurant IT leadership at the largest global scale. Advises on multi-brand enterprise deployments.
We're hiring
Join us.
We're looking for engineers, designers, marketers, customer success leads, and operations folks who want to build the AI-native operating system the restaurant industry has been waiting for.
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