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Riften: Earned intelligence for every company. It is listed under Data & Analytics on AI Registry with a free plan and paid upgrades.
The tools below are approved listings in the same category, ordered by how closely their tags match Riften. This is an automatic list. We have not written a researched verdict for Riften yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
Open data platform for traceable, multimodal AI
Lamin is an open data platform for R&D teams that need to trace, query and govern data used by machine learning models and AI agents. Its core is LaminDB, an open source database and lakehouse that records lineage across agent sessions, notebooks, scripts and workflows, so results can be traced back to the data, code a...
Independent AI evaluations lab
LLM Stats is an independent leaderboard and comparison site for AI models. It ranks more than 300 models from providers such as Anthropic, OpenAI, Google, Meta, Moonshot AI and Alibaba on a composite LLM Stats Score, built from public benchmarks and live API metrics and refreshed continuously. The main table shows eac...
Monetize your agent's traces.
Magma is a data licensing service for companies building AI agents. It packages the interaction data an agent already produces, such as traces, corrections and completed workflows, and licenses it to AI labs and researchers who want records of how real work happens inside real products. The company pays the agent's own...
Cursor for data analysis
Mito is an AI assistant for Jupyter notebook workflows, aimed at analysts, data scientists and machine learning engineers. It runs as a Jupyter extension inside local JupyterLab, JupyterHub or other notebook environments, and understands notebook file formats, cell context and kernel state. Its AI chat, agent and autoc...
Ultra-low latency inference cloud for real-time workloads
Pipeshift is an inference platform for running open source, custom and fine tuned AI models in production. It provides managed inference clusters with optimized model runtimes and workload orchestration, aimed at real time agents that need low latency across clouds and regions. The platform is built around dedicated, ...
The multimodal data lab
Sieve builds the data and environments frontier AI labs use to train the next generation of multimodal systems. AI is moving beyond chatbots into video, audio, images, software, robotics, and interactive worlds. The next generation of models will need to understand how the world looks, sounds, moves, responds, and chan...