If you're looking for a different Expert.ai alternative, Hebbia is a good option. It's a Large Language Model (LLM) platform based on its Matrix technology for processing complex questions and large amounts of data. Hebbia's features include multi-file processing, verifiable AI, end-to-end encryption and automated workflows that are 10x faster and more accurate. The platform is geared for industries like financial services, law and pharmaceuticals, where it can be used to extract, structure and analyze unstructured files.
Another good option is H2O.ai, which offers an end-to-end AI platform that spans both predictive and generative AI. It includes modules like H2O-Danube for offline language model use, H2O Generative AI for content analysis and generation, and Multi-modal Document AI for extracting insights from a variety of documents. H2O.ai supports fully managed cloud, hybrid, on-premises and air-gapped environments, so you can run it where you need to. The platform is geared for companies that want to analyze documents, generate content and automate processes.
If you have a business that needs to process lots of documents and extract data, ABBYY is a good option. It uses AI, NLP and OCR to automate business processes, including intelligent document processing and data extraction. ABBYY's platform offers high capture accuracy, process intelligence and low-code/no-code solutions, making it a good fit for industries like finance and healthcare. ABBYY has a long history of delivering real business value to thousands of companies around the world, so it's a good alternative.
Nanonets is another good option for automating repetitive tasks and extracting useful information from unstructured data. It can ingest data from a variety of sources, extract data with AI-powered data extraction and enrich data. Nanonets is good for industries like finance, manufacturing and healthcare, where it can improve accuracy, speed up processing and boost productivity. It also supports compliance standards like GDPR and HIPAA to ensure data is kept private and secure.