If you're looking for a solution that marries machine data with human expertise to make operations more agile, Dataloop is a strong contender. The platform speeds up AI application development by combining data curation, model management, pipeline orchestration and human feedback. It handles many types of unstructured data and comes with a full range of tools, including strong security controls, that can help you boost collaboration, development speed and quality.
Another strong contender is Dataiku, which is geared to making AI useful for business users. It offers powerful tools for data preparation, machine learning, MLOps and collaboration, and is designed for multiple teams and industries. Dataiku lets people build, deploy and maintain machine learning models while ensuring safe scaling and oversight, making it a good choice for boosting business outcomes and operations.
If you want a broader approach, check out Aisera. This Generative AI platform automates work in many areas, including IT, HR, customer support and operations, to boost productivity and accuracy. It uses domain-specific Large Language Models to give you fast access to information and automate repetitive work, and it offers a responsible and secure AI experience with its TRAPS approach.
Last, DataRobot AI Platform offers a strong combination of generative and predictive workflows. It lets you quickly build and deploy AI solutions, govern assets and tap into domain expertise. With features like enterprise monitoring and control, rapid innovation and deep ecosystem integration, DataRobot is designed to boost productivity and accelerate AI project delivery across many industries.