Work alongside your setup.
Choose sources that fit the restaurant. Show missing inputs rather than inventing them.
Why we're building Dynamic.ly
Built around the way
restaurants decide.
Costs change. Plans move. You need a clear next step, with the records behind it close at hand.
See the approach- 01
Start with the records.
The invoices, recipes and counts your team already uses.
- 02
Make the next step clear.
See what changed and the source behind it.
- 03
Keep the final say.
Your team reviews the options and makes the call.
Built from both sides of the problem.
Elias Hairatidis is a second-generation New York restaurant operator and a former EY AI developer. He holds an MS in Business Analytics from William & Mary and built Happily, the consumer app for discovering happy hours.
As a manager, he saw how easily something important could slip past when attention was needed everywhere at once. Checking every invoice or revisiting every dish’s cost still mattered; it was competing with everything that needed attention right now.
That’s where Dynamic.ly started: wanting the kind of support I wished I could have delegated to while I was running the restaurant.Elias Hairatidis, Founder
Better decisions for operators. Better discovery for diners.
Dynamic.ly and Happily approach hospitality from different sides. A future connection could help restaurants distribute manager-approved specials. That connection is a concept, not a live publishing service.
Why we started — and the choices that followed.
Costs, stock and demand were spread across different records, while the person running the restaurant still had to connect them. We chose to start with those records, not replace the systems a restaurant already uses.
Explain the recommendation.
Keep calculations and evidence close to the choice, instead of adding another dashboard to interpret.
Make room for growth.
The proposed Happily connection links a viable offer with a reason for new diners to visit.
Built by people who
understand the problem.
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Theodora Papadopoulou
Strategy & Go-to-Market
Background
Strategy and finance at EY-Parthenon, PwC and Euroterra Capital. Leads go-to-market across London and Athens, working directly with independent restaurant owners on Dynamic.ly’s first pilots.
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Grigoris Delotas
Machine Learning
Background
ML Engineer building real-time predictive models and RAG-based AI systems, with prior work in computer vision for industrial inspection and safety monitoring.
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Matt Farber
Data Eng. & QA
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Stavros Zacharopoulos
AI Advisor / QA
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Aarushi Desai
Brand Ambassador
Working with operators in New York, London and Athens.
Request beta consideration