If you're looking for another Allganize alternative, Stack AI is a good choice. It's an AI integration platform that's designed to increase productivity by linking AI with different data sources. With a user-friendly interface and no programming required, you can rapidly develop AI applications. It comes with enterprise-grade security, pre-built templates and on-premise deployment options, so it's a good choice for automating back office work and using AI assistants to help augment your workforce.
Another potential alternative is Clarifai, which takes an approach to AI workflow orchestration. The platform lets companies build, manage and run AI projects on-premises or in the cloud. It incorporates modern AI technologies like Large Language Models and Retrieval Augmented Generation, making it easier to take AI prototypes into production. Clarifai also offers automated data labeling, content moderation and generative AI, so it's good for a wide range of use cases.
If you want a more unified DevOps experience, Keywords AI is another option. It's a one-stop-shop for building, deploying and monitoring AI applications based on large language models. The platform supports multiple LLM models, integrates directly with OpenAI APIs and offers features like keyboard shortcuts for fast development and performance monitoring. It's geared for AI startups that want to focus on building products, not infrastructure.
Last, Dataiku is a mature platform for systemizing the use of data for superior business outcomes. It supports Generative AI application development, data preparation and machine learning, so it's a good choice for AI and Machine Learning teams. Dataiku's platform is a Leader in the Gartner Magic Quadrant for Data Science & ML Platforms, so it's a good choice for scaling AI safely and efficiently.