Graphy Launches Charting SDK and Agentic API

The London-based AI data visualization company Graphy, founded in 2019 by Andrey Vinitsky and Roman Sirbu, has raised $10.7M in funding over three rounds from investors including Coatue Management. The firm is entering a competitive landscape for charting libraries, facing established players like SciChart, which offers GPU-accelerated components, and flexible JavaScript toolkits like KeyLines, designed for complex graph visualization. The "agentic API" represents a significant architectural shift beyond simple data retrieval. Agentic AI systems are designed to be autonomous, capable of reasoning, planning, and executing multi-step actions to achieve goals with minimal human supervision. This allows an agent to perceive its environment, interpret the data, and take action by calling other APIs or functions. For the logistics sector, agentic AI has direct applications in solving unstructured problems. Use cases include automating the Request for Quote (RFQ) process across multiple carriers, dynamically re-routing shipments based on real-time data like traffic or weather, and proactively managing exceptions by identifying potential delays before they impact service level agreements (SLAs). Integrating these AI capabilities requires a move beyond traditional REST patterns. API design for AI must account for asynchronous processing to handle high-latency model computations, consistent error handling, and strategic versioning to manage different model updates without breaking client integrations. Security is also paramount, requiring robust authentication and rate-limiting to protect computationally intensive endpoints. From a leadership perspective, measuring the value of a developer platform built with these tools hinges on frameworks like DORA (DevOps Research and Assessment) and SPACE. Key metrics to track include improvements in deployment frequency, lead time for changes, and developer satisfaction, which can be measured via surveys like Net Promoter Score (NPS). The broader market for developer tools has seen a surge in venture capital funding, with investors contributing $37 billion to cloud and web architecture firms in 2021 alone. VCs like Sequoia, Accel, and Y Combinator are actively investing in platforms that improve developer experience and productivity, signaling strong market confidence in the sector. This trend aligns with the industry-wide move to embed AI directly into analytics workflows. By 2027, Gartner projects that 75% of analytics content will be enhanced by GenAI, moving beyond static dashboards to conversational, proactive systems where autonomous agents surface insights and recommend actions.