Orkeneo is an AI-powered Operational Intelligence Platform that helps restaurants make smarter operational decisions. By integrating with existing Point-of-Sale (POS) systems and operational data, the platform uses Artificial Intelligence and Machine Learning to forecast demand, optimize inventory, recommend purchasing quantities, predict food waste, and provide actionable business insights. Rather than replacing existing restaurant software, Orkeneo acts as an intelligent decision-support layer that enables restaurants to reduce costs, improve operational efficiency, and increase profitability through data-driven recommendations.
Startup Description
Orkeneo AI Labs Private Limited is building the AI Operating System for Restaurants. We develop proprietary Artificial Intelligence and Machine Learning solutions that transform restaurant operations from reactive management to predictive, data-driven decision-making.
Our cloud-based SaaS platform integrates with existing restaurant POS systems and operational workflows to analyse historical and real-time data, enabling restaurants to forecast demand, optimize inventory, reduce food waste, improve purchasing decisions, and enhance profitability.
Restaurants worldwide lose billions annually due to inaccurate demand forecasting, inefficient inventory management, and food waste. Existing restaurant software primarily focuses on billing and reporting, leaving operators without predictive intelligence. Orkeneo addresses this gap through AI-driven operational recommendations that improve business performance without requiring restaurants to replace their existing software.
Our long-term vision is to become the AI-powered operational intelligence platform for restaurants globally, helping businesses operate more efficiently while contributing to sustainability by reducing food waste.
Product Screenshots
Business Model
Orkeneo operates on a Business-to-Business (B2B) Software-as-a-Service (SaaS) subscription model.
Restaurants subscribe to the platform on a monthly or annual basis to access AI-powered forecasting, inventory optimization, purchasing recommendations, operational intelligence dashboards, and business analytics.
Our revenue streams include:
1. Monthly SaaS subscriptions
2. Annual subscription plans
3. Enterprise licensing for restaurant chains
4. Implementation and onboarding services
5. POS integration and custom enterprise solutions
6. Premium AI analytics and advanced reporting modules
This recurring revenue model enables predictable income while scaling efficiently across restaurants of different sizes.
Customers
based in
India, Europe, Southeast Asia, Middle East & North Africa
Business
Modal Type
SaaS
Type of
Sales
B2B
Competitors
Direct (Global):
1. Tenzo
2. ClearCOGS
3. Lineup.ai
4. PreciTaste
Indirect:
1. Petpooja
2. Restroworks
3. GoFrugal
4. DotPe
5. Toast POS
6. Square for Restaurants
Unlike these solutions, Orkeneo focuses specifically on AI-driven operational intelligence, predictive demand forecasting, inventory optimization, and food waste reduction while integrating seamlessly with existing POS systems.
Teams
Gulam Gaus
Founder & CEO
Momin Rabiya
Founder & COO
Mohammad Rizwan Syed
Business Development & Growth
Prajwal Waykos
Founding AI/ML Engineer
Ashutosh Maurya
Software Engineer
Tell us a bit about how founding team knows
each other.
The founding and core team came together through professional networks, startup collaborations, and shared experience in building technology products. We were united by a common vision of applying Artificial Intelligence to solve operational challenges in the restaurant industry. As the product evolved, we expanded the team by bringing in experienced AI/ML and software engineers who share our long-term mission of building a globally scalable AI platform.
Why did you decide to start this
company?
We started Orkeneo to help restaurants reduce food waste and improve profitability using AI. Our platform predicts demand and enables smarter, data-driven operational decisions.
Are all the founders full-time on this
project?
Yes
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