If you're looking for a development platform that uses AI to accelerate development and improve results, Dataloop is a serious contender. It's got a range of tools for data curation, model management, pipeline orchestration and human feedback integration. Built-in features like automated preprocessing and embeddings for similarity detection, and a marketplace for pre-trained models and pipelines, make Dataloop a good option for accelerating development and ensuring high quality and security.
Another strong contender is the NVIDIA AI Platform, a full-stack AI development platform. It speeds up projects with high accuracy and performance with the company's enterprise-grade software and AI models. The platform can handle multi-node training at scale, streamline the data science pipeline, and offer generative AI abilities, making it a good option for companies that want to build AI into their business and scale applications while cutting costs.
LastMile AI is also worth a look, particularly if you're interested in generative AI work. It's got features like Auto-Eval for automated hallucination detection, RAG Debugger for performance optimization and AIConfig for version control and prompt optimization. The platform supports multiple AI models across different modalities and comes with a notebook-like environment for prototyping, so you can focus on deploying production-ready applications.
For those who want to build and run large scale AI agents, Abacus.AI is a flexible option. It's got tools to build LLM apps, automate workflows and integrate with multiple data sources. With features like forecasting, anomaly detection and fraud prevention, Abacus.AI is designed to handle a variety of business needs and improve operations.