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Library of ML-Engineering tools for rapid prototyping and experiment management.
ML powered analytics engine for outlier/anomaly detection and root cause analysis.
Unified interface for constructing and managing workflows on different workflow engines.
Storage layer that brings scalable, ACID transactions to Apache Spark and other engines.
Creates or edits images with generative models and visual controls.
Machine learning development environment for data science and AI/ML engineering teams.
Cloud-Native LLM Routing Engine. Improve LLM app resilience and speed.
Current flagship model for agentic engineering and stronger coding workflows.
Specify what you want it to build, the AI asks for clarification, and then builds it.
Kombai is your AI design engineer for designing standout websites and product UIs, then shipping production-ready frontend in the same loop.
Open-source project that provides conversational AI for questions, tasks, and general assistance.
News and Hackathons for AI Engineers!
Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.
Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone.
A JavaScript application framework for machine learning and its engineering.
Prompt Engineering platform. Collaborate, test, evaluate, and monitor your LLM applications.
Quix is the agentic AI platform for hardware engineering — turn test-rig and sensor data into real-time insight.
Statistical Machine Intelligence and Learning Engine.
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
Spark is a fast and general engine for large-scale data processing.
An inference and serving engine for language models.
Automated optimization engine for improving agent workflows using feedback-driven iterative refinements.
Self-improving agents that learn from execution feedback. LangChain integration for agents that curate their own context.