Expert.ai Alternatives

Automates business processes by extracting and enriching key information from unstructured documents with high accuracy and explainability across multiple languages.
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Hebbia

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.

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H2O.ai

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.

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ABBYY

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.

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Nanonets

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.

More Alternatives to Expert.ai

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UiPath

Automate and optimize knowledge work processes with AI-powered tools, including process mining, task mining, and document understanding, to drive efficiency and innovation.

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Lettria

Extract insights from unstructured text data with a no-code AI platform that combines LLMs and symbolic AI for knowledge extraction and graph-based applications.

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Extracta.ai

Automate data extraction from unstructured documents, including CVs, invoices, and contracts, with customizable templates and no training required.

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Parseur

Automatically extracts text from PDFs, emails, and documents, sending extracted data to other applications, and saving time and labor.

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Automation Anywhere

Combines AI, automation, and RPA to create custom agentic automations, speeding up the automation lifecycle and optimizing processes across multiple systems.

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DOConvert

Automatically extract data from complex documents, boosting productivity and saving time, with customizable outputs and seamless integration with leading ERP systems.

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FormX

Instantly extract accurate data from documents with AI-powered automation, reducing errors and increasing productivity by up to 10 times.

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DATAKU

Extract insights from unstructured text and documents at scale, turning them into structured data for informed business decisions.

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Tungsten Automation

Automates tedious processes, delivering insights and improving operational efficiency, performance, and profitability.

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ThirdAI

Run private, custom AI models on commodity hardware with sub-millisecond latency inference, no specialized hardware required, for various applications.

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Abacus.AI

Build and deploy custom AI agents and systems at scale, leveraging generative AI and novel neural network techniques for automation and prediction.

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PROCESIO

Combines no-code and low-code automation, allowing users to create custom workflows with ease, and extend automation with JavaScript, Python, and C# scripts.

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Zapier

Automate tasks across 7,000+ app integrations with AI-driven workflows and bots, turning ideas into custom workflows without requiring tech expertise.

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Glean

Provides trusted and personalized answers based on enterprise data, empowering teams with fast access to information and increasing productivity.

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Dataloop

Unify data, models, and workflows in one environment, automating pipelines and incorporating human feedback to accelerate AI application development and improve quality.

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Humanloop

Streamline Large Language Model development with collaborative workflows, evaluation tools, and customization options for efficient, reliable, and differentiated AI performance.

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Storytell

Combines multiple large language models to automate repetitive tasks, organize data, and produce actionable insights, streamlining workflows for increased productivity.

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Relevance AI

Assemble and deploy autonomous AI teams to automate tasks and processes, freeing up time for more strategic work, without requiring coding expertise.

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Parsio

Automates data extraction from unstructured documents, like emails and PDFs, into structured formats, enabling seamless integration with over 6,000 apps.

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Market Logic

Unify insights data and knowledge through a single AI-powered gateway, providing universal access to real-time market and consumer insights for data-driven decisions.