Matrices vs Rows

Matrices transforms data analysis by combining AI-powered spreadsheets with an innovative platform for training AI agents in simulated environments. It automates research and data gathering by using AI agents that fill spreadsheets with data from multiple sources, providing confidence scores for transparency. Beyond spreadsheets, Matrices is pioneering a system of virtual 'escape rooms'—complex simulations where AI agents learn tasks through trial and error without real-world risks. This approach enables AI to practice and improve on tasks like market research, coding, and business operations in safe, scalable environments.

The platform supports two main user roles: engineers who build configurable simulation components, and creative designers who craft scenarios for AI to solve. This ecosystem aims to scale AI training by crowdsourcing simulation creation, eventually covering a wide range of real-world tasks. Matrices targets founders, investors, sales professionals, CEOs, and AI researchers who benefit from automated data workflows and advanced AI training environments.

Matrices emphasizes natural language commands to reduce the learning curve, allowing users to automate complex workflows without coding. Its extensible design adapts to diverse needs, from simple data tasks to intricate AI training challenges. The company is actively expanding its simulation library and plans to open its level editor to the public, inviting collaboration to accelerate AI automation across industries.

Technically, Matrices leverages reinforcement learning by placing AI agents in simulated environments where they can experiment and learn from feedback. This method moves beyond imitation learning, enabling AI to achieve higher competence in practical tasks. The platform’s modular architecture supports integration with various web apps and data sources, making it a versatile tool for both data analysis and AI development.

Overall, Matrices offers a unique blend of AI spreadsheet automation and a scalable framework for training AI agents in realistic, risk-free settings. This dual focus positions it as a forward-looking solution for businesses and AI practitioners aiming to automate complex workflows and accelerate AI capabilities.

Rows is a cloud spreadsheet built for teams that want to analyze business data without SQL, BI dashboards, or manual copy-paste workflows. You connect sources like analytics tools, ad platforms, bank accounts, and databases, then ask questions in plain language to build reports, models, and charts inside a familiar grid.

The product positions itself as an AI data analyst: you can extract tables from PDFs and images, merge datasets, run forecasts, and automate refreshes on a schedule. Rows also supports real-time collaboration, embeddable reports, and interactive forms so spreadsheets can be shared outside a traditional workbook.

Rows has joined Superhuman, and the site now points new users toward Coda as part of that transition. The Rows product, docs, templates, and integrations remain available at rows.com for existing workflows and sign-up.

Founded in 2016 with offices in Porto and Berlin, Rows targets business teams, marketers, and analysts who already think in spreadsheets but need live data connections and AI-assisted analysis in one place.