Younes Rharbaoui

At Waniwani we build the infrastructure enabling companies to distribute and optimize their offers directly inside LLMs, where discovery, comparison and purchasing decisions now happen.

Macrodata Labs exists to help robotics teams turn their data into progress. Every demonstration, frame, trajectory, annotation, and sensor stream should be easier to inspect, enrich, scale, and turn into better policies. Better data work should mean faster iteration, stronger robots, and more real-world deployments. Refiner is our first step: an open-source framework and cloud platform for robotics data processing. It is the beginning of a larger effort to give the people building embodied AI the data infrastructure they need to turn physical-world experience into progress.

Opereit is the AI layer for global logistics operations. We recover the money companies lose in transport through overcharges, billing errors, and unclaimed filings. The result: up to 10% of your logistics spend back. No manual work. No extra headcount.

EGIDE is pioneering a shift from scarce, high-cost munitions to intelligent, networked effectors designed for scale, modularity, and operational resilience.

API for outbound AI calls at scale.

CardNexus | The All-in-One Multi-Game Card Inventory & Trading Platform Your cards, your rules. Collect. Trade. Connect.

Guepard makes managing data simple and fast. Our platform helps businesses create and use databases instantly, save resources, and automate tasks like testing. Built for developers and data teams, Guepard provides a git like experience with collaboration and speed at the heart to adapt for modern data needs

Massive Dynamic is building an AI-native suite to orchestrate global advertising, addressing the massive operational load faced by digital marketing teams.

Our mission is to save 1,000,000 hours for security teams by 2027 on vendor risk management. We provide an all-in-one, AI-powered platform that helps CISOs identify, assess, and continuously monitor the cyber maturity of all their vendors.

Making cutting-edge research accessible, one block at a time. Industry, faced with decarbonization objectives for 2030 and beyond, needs accessible and tailored numerical simulation tools to accelerate innovation in the management and design of its processes and products. Current solutions, which are very costly and can only be used by trained experts, are struggling to meet these expectations. DotBlocks aims to meet this need by offering an intuitive, no-code cloud platform, enabling manufacturers to rapidly design their own high-performance, tailor-made simulation tools, with the help of pre-coded components. This approach aims to democratize numerical simulation by making it usable without expertise or training, thus significantly speeding up manufacturers innovation workflows by making numerical simulation accessible to all the technical teams involved in the development process.

Plakar is a modern data protection solution focused on what remains the most critical line of defense for businesses: backups. At the core of Plakar is a new data engine called Kloset, a purpose-built technology designed to rethink how data is captured, stored, and recovered. Kloset makes data inherently easy to deduplicate, replicate, and distribute across multiple storage targets, with an architecture that is Exabyte-ready by design. It is also built to meet the highest security standards, ensuring integrity and confidentiality across the entire data lifecycle. Plakar is built for environments with strict constraints, including highly regulated industries and long-term data retention needs, where reliability, resilience, and cost control are critical. At the same time, it remains simple and efficient for everyday operations. It significantly reduces cloud or infrastructure costs, defends against ransomware, and enables rapid recovery. Its efficient deduplication allows organizations to retain more backups over longer periods at very low cost, while reducing recovery time objectives. Plakar supports a wide range of storage backends such as local disks, S3-compatible services, and even tape. It integrates naturally into modern infrastructure thanks to its open source foundation and DevOps-friendly design. We believe data protection should be effortless, secure, and economically sustainable. Plakar sets a new standard for long-term, high-integrity data resilience.

At Linkup, we get your AI off airplane mode and connect it to the internet with our state-of-the-art web search API.

At Waniwani we build the infrastructure enabling companies to distribute and optimize their offers directly inside LLMs, where discovery, comparison and purchasing decisions now happen.

Macrodata Labs exists to help robotics teams turn their data into progress. Every demonstration, frame, trajectory, annotation, and sensor stream should be easier to inspect, enrich, scale, and turn into better policies. Better data work should mean faster iteration, stronger robots, and more real-world deployments. Refiner is our first step: an open-source framework and cloud platform for robotics data processing. It is the beginning of a larger effort to give the people building embodied AI the data infrastructure they need to turn physical-world experience into progress.

Opereit is the AI layer for global logistics operations. We recover the money companies lose in transport through overcharges, billing errors, and unclaimed filings. The result: up to 10% of your logistics spend back. No manual work. No extra headcount.

EGIDE is pioneering a shift from scarce, high-cost munitions to intelligent, networked effectors designed for scale, modularity, and operational resilience.

API for outbound AI calls at scale.