What is Inflectiv.ai?
Inflectiv is a platform that transforms raw, unstructured data into structured, tokenized intelligence assets designed for AI agents, workflows, and applications. By converting fragmented data from PDFs, documents, JSON, spreadsheets, images, and other sources into queryable datasets, Inflectiv enables agents to reason, learn, and act on high-quality signals rather than dead files. The platform addresses the critical failure point where 95% of AI agents fail due to lack of structured context, unlocking over $300B in untapped unstructured data.
Key features include a built-in AI scoring system that evaluates structure, depth, freshness, and coverage, ensuring datasets are optimized for agent consumption. Users can upload files or URLs, create public or private datasets, and expose them via API or SDK for live access. Datasets are secured with encryption and stored on Walrus for decentralized, reliable access. The marketplace allows users to publish datasets as free or paid, with usage-based access, enabling monetization of data assets. Buyers can browse datasets with clear metadata (size, format, updates, usage), purchase access, and query datasets to understand their structure before committing.
Use cases span research, internal knowledge management, real-world signals, and more. For example, researchers can upload academic papers to create structured datasets for AI-driven analysis, while enterprises can convert internal SOPs and dashboards into agent-ready intelligence. Developers can build agents that query live datasets via API, and data providers can monetize their expertise by listing datasets on the marketplace.
Technical details: Inflectiv supports multiple input formats (PDF, DOCX, JSON, XLSX, images) and provides a user-friendly interface for dataset creation and management. The platform ensures data integrity through encryption and decentralized storage, while the API and SDK facilitate seamless integration into existing workflows. With a free tier available, Inflectiv lowers the barrier for anyone to contribute, discover, and leverage structured data for AI.
Use Cases
Key Features
unstructured data transformation AI scoring system dataset creation from files/URLs public/private datasets API/SDK access encryption and decentralized storage dataset marketplace usage based monetization queryable datasets metadata browsingWho is it for?
AI developers, data engineers, machine learning engineers, enterprise architects, data scientists, product managers, AI agent builders
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