Rodolfo Condessa

Data teams spend too much time firefighting — bad data reaches the business before anyone catches it, root cause takes days, and the fix is invisible to the stakeholders who were burned. The result is a slow erosion of trust in every dashboard, report, and AI output the company relies on. We give data teams one layer that catches issues across the full stack, explains exactly where they came from, and shows how to resolve them — before the CFO sees the wrong number. Teams like BBC, Saint-Gobain, Euronext, and CMA-CGM use Sifflet to run reliable data infrastructure at enterprise scale — with coverage from legacy systems to modern cloud stacks. The result: fewer incidents, faster root cause, and data that can be defended in any meeting.

Established in 2019, DareData Engineering is the fastest-growing AI company in Portugal. Our mission is to be the trusted partner for enterprises seeking to unlock the full potential of data-driven decision-making. With Gen-OS, our enterprise GenAI platform, we help organizations move from proof-of-concept to production with full visibility, deep integration with current IT systems, and human-in-the-loop control. Alongside our AI platform, we also deliver tailor-made Machine Learning and AI solutions, built by a team of experts with deep technical expertise. With a team of 100+ data and AI specialists, we bring deep engineering expertise to enterprises in more than nine countries. Our track record spans sectors including Pharmaceuticals, Telecommunications, Banking, Industry, Logistics, Government, FMCG, and Utilities. We are NVIDIA, Google Cloud and Microsoft partners.

brighter AI provides image & video anonymization solutions based on state-of- the-art deep learning technology. Our solutions, Precision Blur and Deep Natural Anonymization (DNAT), redact faces and license plates and help companies comply with data protection regulations such as the GDPR. With our privacy technologies, we enable companies in various industries to use publicly-recorded camera data for analytics and AI. Our clients mitigate their liability and the risks of being fined, increase the capacity of their teams, improve their time to market, and push innovation. brighter AI was founded in 2017 as a spin-off of the German automotive supplier HELLA. Nvidia named brighter AI "Europe's Hottest AI Startup" in 2019, and in 2020 brighter AI won "The Spark - The German Digital Award" from Handelsblatt & McKinsey. Learn more about us at: https://brighter.ai/

Smarter Space Traffic Management. To contribute to the evolution of spacecraft operations, Neuraspace aims to solve the space debris problem by protecting satellites operators from the losses caused by collisions, liabilities from leaving debris in orbit and allowing insurance companies to better price the risk that each satellite poses. The continuous increase in space traffic and debris in the last years lead to a significant increase in the amount of information related to conjunction events. This situation poses a very complex challenge to space operators as the conjunction events need a careful “manual analysis, which is time, cost and effort consuming. AI (specifically ML) algorithms represent an essential technique in the automation of this process, mainly due to its ability to handle big amounts of data. By using a data driven approach with state of the art Machine Learning techniques, Neuraspace is able to outperform the current methods, while automating the process of collision risk avoidance. Neuraspace enables the timely detection of up to 33% more high-risk collisions that have been so far undetected, thus securing space operations.

Codavel helps video platforms to achieve the optimal tradeoff between QoE and CDN costs, regardless of CDN failures or user’s bad network. Codavel ensures each video chunk for each user is delivered with the best available CDN option based on customer's business rules, maximum QoE or minimum costs, while guaranteeing customer's desired user experience. Traditionally, user experience is highly dependent on the user's WiFi, 3G or 4G connection quality and CDN availability. Metrics like user retention, conversion and even revenue are in the hand of CDNs and wireless networks. With Codavel, customers can get back in control. As a result, every end user gets a 5-star experience, regardless of CDN failures or user's bad network. We are working towards a world where internet-based services are frustration-free. For every user, anytime, anywhere.

Building the ultimate onboarding experience across the web2 and web3 through a Digital ID aggregator toolkit

Data teams spend too much time firefighting — bad data reaches the business before anyone catches it, root cause takes days, and the fix is invisible to the stakeholders who were burned. The result is a slow erosion of trust in every dashboard, report, and AI output the company relies on. We give data teams one layer that catches issues across the full stack, explains exactly where they came from, and shows how to resolve them — before the CFO sees the wrong number. Teams like BBC, Saint-Gobain, Euronext, and CMA-CGM use Sifflet to run reliable data infrastructure at enterprise scale — with coverage from legacy systems to modern cloud stacks. The result: fewer incidents, faster root cause, and data that can be defended in any meeting.

Established in 2019, DareData Engineering is the fastest-growing AI company in Portugal. Our mission is to be the trusted partner for enterprises seeking to unlock the full potential of data-driven decision-making. With Gen-OS, our enterprise GenAI platform, we help organizations move from proof-of-concept to production with full visibility, deep integration with current IT systems, and human-in-the-loop control. Alongside our AI platform, we also deliver tailor-made Machine Learning and AI solutions, built by a team of experts with deep technical expertise. With a team of 100+ data and AI specialists, we bring deep engineering expertise to enterprises in more than nine countries. Our track record spans sectors including Pharmaceuticals, Telecommunications, Banking, Industry, Logistics, Government, FMCG, and Utilities. We are NVIDIA, Google Cloud and Microsoft partners.

Armilar is Portugals leading VC funds manager. An independent VC with a history of more than 25 years, a high-performance track record, and an international footprint. With ~300 million euros of assets under management, we are a deep-tech investor, engaged in supporting the development of a new economy throughout Europe, by fostering the transition of new technologies from laboratories to world-class businesses. While we are an international investor, we are strongly committed to investing in Portugal, a thriving entrepreneurial ecosystem where we are, by far, the largest and most experienced early-stage investor, with a track record that is unmatched in the region.

brighter AI provides image & video anonymization solutions based on state-of- the-art deep learning technology. Our solutions, Precision Blur and Deep Natural Anonymization (DNAT), redact faces and license plates and help companies comply with data protection regulations such as the GDPR. With our privacy technologies, we enable companies in various industries to use publicly-recorded camera data for analytics and AI. Our clients mitigate their liability and the risks of being fined, increase the capacity of their teams, improve their time to market, and push innovation. brighter AI was founded in 2017 as a spin-off of the German automotive supplier HELLA. Nvidia named brighter AI "Europe's Hottest AI Startup" in 2019, and in 2020 brighter AI won "The Spark - The German Digital Award" from Handelsblatt & McKinsey. Learn more about us at: https://brighter.ai/

Smarter Space Traffic Management. To contribute to the evolution of spacecraft operations, Neuraspace aims to solve the space debris problem by protecting satellites operators from the losses caused by collisions, liabilities from leaving debris in orbit and allowing insurance companies to better price the risk that each satellite poses. The continuous increase in space traffic and debris in the last years lead to a significant increase in the amount of information related to conjunction events. This situation poses a very complex challenge to space operators as the conjunction events need a careful “manual analysis, which is time, cost and effort consuming. AI (specifically ML) algorithms represent an essential technique in the automation of this process, mainly due to its ability to handle big amounts of data. By using a data driven approach with state of the art Machine Learning techniques, Neuraspace is able to outperform the current methods, while automating the process of collision risk avoidance. Neuraspace enables the timely detection of up to 33% more high-risk collisions that have been so far undetected, thus securing space operations.