GREÏ, a Lithuanian SaaS company, has successfully raised €650,000 in pre-seed funding to expand its AI-driven operational intelligence platform. This funding will support GREÏ as it seeks to optimize facilities across the manufacturing, logistics, and retail sectors by addressing challenges of data overload and fragmented visibility. With large physical sites increasingly relying on data collection technologies, such as CCTV and IoT sensors, GREЇ aims to provide actionable insights that can improve operational health and efficiency.
Lithuanian-based GREÏ is joining a trend of tech startups focused on leveraging AI for operational effectiveness. In similar endeavors, companies within the niche have previously highlighted the importance of integrating AI with existing infrastructures, offering solutions that interpret extensive data outputs in real-time, enhancing the coordination of physical and digital assets.
What Problems Does GREÏ Aim to Solve?
GREÏ identified the main issue for large-scale operations as not a lack of data but the challenge of making sense of it all in a cohesive manner. Their approach involves overlaying AI technology onto existing hardware infrastructure to streamline operations. By utilizing the company’s platform, businesses can identify issues in real time, such as safety violations or inefficiencies, via their camera systems. This will allow targeted alerts and recommendations to be sent to specific teams, making on-the-spot corrections feasible.
How Is GREÏ Moving Forward?
GREÏ is currently testing its platform in various sectors, including manufacturing and retail, and aims to transition from pilot projects to widespread implementation. The company plans to connect more than 500 cameras across facilities and fully launch its platform by 2026. Rajuncė, the CEO, emphasized the need to move from conceptual testing to actionable execution.
“Even with all the right hardware in place, companies often struggle to get a clear picture of their facility’s operational health,” said Giedrė Rajuncė, CEO and Co-Founder.
Further fundraising is anticipated as GREÏ looks toward its next phase—international expansion and continuous development of its AI architecture. The increase in functionality aims to provide even more precise alerts and a streamlined user experience. Rajuncė noted the shift from building to implementation during recent rounds of testing, stating,
“This round gave us the push we needed to move from building to executing. Companies are under pressure to do more with fewer people, less time, and tighter budgets.”
First PICKS, a partner in this venture, acknowledges the crucial gap GREÏ is addressing in operational intelligence, understanding that the integration of AI into physical infrastructures can elevate industry standards. Efficient data interpretation could make everyday processes safer and more predictable for operational teams, adapting to industry needs of cost savings and risk management.
GREÏ’s plans underline a broader industry ambition to refine operations through enhanced technology. Their focus on AI aims to offer substantial improvements in managing real-time challenges, which may benefit companies when dealing with logistical complexities and safety protocols. As GREÏ proceeds with scaling its operations and technology, the outcomes could shape the AI-enabled infrastructure landscape within the European enterprise sector.
