Optimization Companies

Jahez operates Saudi Arabia’s leading last-mile delivery platform, connecting users with restaurants and grocery stores through its mobile app and web portal. The company leverages machine learning algorithms for dynamic route optimization, real-time demand forecasting – reportedly improving delivery times by up to 20% – and personalized restaurant recommendations. As of 2023, Jahez processes over 70% of online food delivery orders in Saudi Arabia and has expanded into grocery and cloud kitchen services, demonstrating significant market leadership in the region. Key improvements & why: Specificity: Instead of just saying "delivery optimization," it specifies last-mile delivery and mentions the platform (mobile app/web portal). Quantifiable Achievement: Including the 20% improvement in delivery times adds credibility and demonstrates the impact of their AI. Market Position: Highlighting their 70% market share and expansion into new areas (grocery, cloud kitchens) showcases their success and growth. Removed generic opening: Avoided the cliché "Jahez is an AI company" and started with a description of what they do.

GridCARE

Redwood City, United States

GridCARE, spun out of Stanford's Doerr School of Sustainability, uses physics-based AI to identify and activate underutilized capacity on the existing power grid, accelerating power delivery for AI data centers. It raised a $64M Series A led by Sutter Hill Ventures in 2026.

Autofleet

Tel Aviv, Israel

Autofleet delivers an end-to-end software platform specializing in the optimization of commercial vehicle fleets, offering solutions for both on-demand and scheduled ride services. Their platform leverages AI-powered algorithms for dynamic routing, predictive maintenance, and EV fleet charging optimization – including tools to remove guesswork from electrification. Autofleet currently serves a range of mobility operators, and has been credited by partners with enabling continued business growth and scalable operations.

Kobo360 operates a digital logistics platform connecting shippers with a vetted network of trucking companies and drivers across Africa, utilizing real-time tracking and automated dispatch. Their AI-powered "Predict" and "Optimize" features leverage machine learning to forecast demand, optimize delivery routes based on factors like traffic and road conditions, and dynamically price freight rates. Since launching in 2017, Kobo360 has facilitated the movement of over $60 million worth of freight and expanded operations to over 30 African countries, becoming a key enabler of cross-border trade.

Chazki

Lima, Peru

Chazki is a SaaS logistics platform specializing in first, middle, and last-mile delivery optimization across Latin America. Their technology leverages AI-powered route optimization and demand prediction algorithms to reduce delivery times and costs for businesses. Serving over 280 clients and managing over 20 million deliveries, Chazki provides a comprehensive solution integrating with multiple e-commerce platforms and utilizing a network of affiliated drivers to improve supply chain efficiency and customer satisfaction.

DataProphet

Cape Town, South Africa

DataProphet delivers industrial AI solutions focused on optimizing manufacturing processes, particularly within foundries and metalcasting. Their core product, PREDICT, utilizes machine learning algorithms to analyze production data and proactively identify and reduce defects, improving yield and resource efficiency. DataProphet has demonstrated success in improving production performance across the entire process, from initial engine block processing to shot blasting, helping clients address both financial and ESG goals through data-driven optimization.

DeepSea Technologies

Athens, Greece

DeepSea Technologies uses deep learning to optimize ship performance—its Cassandra (condition monitoring) and Pythia (voyage optimization) platforms cut fuel use and emissions for the maritime industry. Founded in Athens; Japan's Nabtesco acquired a 100% stake in July 2023, keeping it a standalone AI center.

Vind AI

Oslo, Norway

Vind AI builds AI-powered software for the early design phases of wind-power projects, modeling layout and performance scenarios so developers can optimize energy output and cost before construction. Founded by former Spacemaker employees, its customers include TotalEnergies, RWE and Corio.

SNERPA Power

Reykjavik, Iceland

SNERPA Power is an Icelandic energy-tech startup whose AI-driven energy-management system helps power-intensive industrial users optimize and automate electricity scheduling, ordering and balancing-market bids. The platform uses live data streams to lower CO2 emissions and balance energy grids. It raised EUR 2.2 million led by Crowberry Capital and BackingMinds, and was founded by Iris Baldursdottir and Eyrun Linnet.

Kavaken

Istanbul, Turkey

Kavaken provides AI-powered asset-management and operations software for renewable-energy investors, using machine learning to monitor wind-turbine performance, forecast energy production and improve margins. It serves asset owners, lenders, insurers and service providers from offices in Istanbul and Newcastle.

Plumerai develops 'Tiny AI'—extremely efficient on-device vision models (using binarized neural networks) that run person, vehicle, animal and package detection plus face recognition on low-power cameras. Founded in 2017 (London and Amsterdam) by Roeland Nusselder and Taras Iakymchuk; raised over $17M.

Tibo Energy provides an AI-driven energy management platform that helps companies manage decentralized energy systems and mitigate grid congestion through forecasting, simulation and automated optimization. Founded in 2022 and based on the TU/e campus in Eindhoven, it raised a EUR 6M seed round to expand across Europe.

Singularities

San Jose, Costa Rica

Singularities is a Costa Rican deep-tech AI company that combines a proprietary modal logic engine called Aleph with large language models to deliver neuro-symbolic reasoning, learning and optimization. Its platform targets complex commercial problems such as supply-chain optimization through digital agent models. It raised an early seed round led by Carao Ventures.

PLAIO

Reykjavik, Iceland

PLAIO is an Icelandic company that builds an AI-enhanced sales, operations and supply-chain planning platform specifically for the pharmaceutical industry, using prediction and optimization to replace spreadsheet-based planning. Its name reflects its focus on AI-driven prediction and optimisation. The company raised a EUR 4.3M round to expand its platform.

NeedEnergy

Bulawayo, Zimbabwe

NeedEnergy is a Zimbabwean energy-AI company that uses machine learning and smart-meter data to operate a virtual power plant, aggregating rooftop solar, generators and storage into a single optimized resource. Its Memeza platform forecasts demand and prices to manage distributed energy across microgrids in emerging markets. The company was a Techstars 2023 cohort member and has raised about USD 1.6 million.

Hefring Marine

Reykjavik, Iceland

Hefring Marine is an Icelandic maritime-technology company whose Intelligent Marine Assistance System (IMAS) provides AI-driven, real-time decision support for vessel operators. It combines onboard sensor data, vessel-specific behavior models and analytics to guide safer, more fuel-efficient operation in changing sea conditions, building on the first patented wave-slam monitoring system. Founded in 2018 in Reykjavik.