Best Machine Learning Software for Microsoft SharePoint

Find and compare the best Machine Learning software for Microsoft SharePoint in 2026

Use the comparison tool below to compare the top Machine Learning software for Microsoft SharePoint on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    TIMi Reviews

    TIMi

    TIMi

    499 €/Month
    68 Ratings
    See Software
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    High-Performance Data Engineering. Total Sovereignty. TIMi delivers the power of a complete cloud data stack—on-premises, fully sovereign, and ridiculously fast. We reject artificial vendor lock-in and hidden costs. Instead, we offer absolute peace of mind through engineering excellence, giving your team the freedom to experiment, innovate, and solve complex AI, analytics, and automation challenges in record time. Why Top Enterprises Choose TIMi? Enterprise Integration & *No-Code* ETL/Data preparation: Automate complex workflows and seamlessly link your entire stack: SAP, Salesforce, SharePoint, S3, Azure Storage, PowerBI, Tableau, etc. Unmatched Infrastructure Efficiency: Our competitors such as Databricks, Dataiku, and MS Fabric all rely on Spark—and that makes them inherently inefficient since a single €2k TIMi server outperforms a 267-node Spark cluster. TIMi process billions of rows in seconds and manage petabyte-scale data lakes at a fraction of the cost. Proven AI Leadership: Harness pioneering machine learning from the creators of the first Auto-ML engine (est. 2007). Whether deployed on-premises or via our EU-Hosted Sovereign Cloud, TIMi empowers leaders in Banking, Telecoms, Manufacturing, Retail, Defense and Government.
  • 2
    Microsoft Foundry Reviews
    Microsoft Foundry provides a unified environment for building AI-powered applications and agents that reflect your organization’s knowledge, workflows, and security standards. Developers can tap into more than 11,000 cutting-edge models, instantly benchmark them, and route intelligently for real-time performance gains. The platform simplifies development with a consistent API, prebuilt SDKs, and solution templates that accelerate integration with existing systems. Foundry also incorporates enterprise-grade governance, providing centralized monitoring, compliance controls, and secure model operations across all teams. Organizations can embed AI directly into tools they already use — such as GitHub, Visual Studio, and Fabric — to streamline development. Its interoperability with cloud infrastructure and business data ensures every model is grounded, accurate, and production-ready. From automating internal workflows to powering transformative customer experiences, Foundry enables high-impact AI at scale. By combining model breadth, developer velocity, and enterprise security, Microsoft Foundry delivers an unmatched foundation for modern AI innovation.
  • 3
    PolyAnalyst Reviews

    PolyAnalyst

    Megaputer Intelligence

    PolyAnalyst, a data analysis tool, is used by large companies in many industries (Insurance Manufacturing, Finance, etc.). It uses a visual composer to simplify complex data analysis modeling instead of programming/coding. This is one of its most distinctive features. It can combine structured and poly-structured data for unified analysis (multiple-choice questions and open ended responses), and it can process text data from over 16+ languages. PolyAnalyst provides many features to meet comprehensive data analysis requirements, including the ability to load data, cleanse and prepare data for analysis, deploy machine learning and supervised analytics techniques, and create reports that non-analysts may use to uncover insights.
  • 4
    Grooper Reviews
    Most document AI asks you to trust it. You feed it documents, it returns answers, and when a number is wrong, "the model said so" is the only explanation you get. Grooper was built for the organizations that can't accept that. Grooper is an intelligent document processing platform with a simple premise: you stay in control. Of the method: roughly 57 extraction techniques across rule-based and AI families, chosen per field, so the invoice number can use a pattern that returns the same answer every time while the handwritten note beside it uses AI. Of the AI's input: ReadScope lets you set exactly what the model reads for each field, the whole page, one region, or only values already extracted. The model can't misread what it was never shown. And of the evidence: every value keeps its receipt. Click any number and see the exact spot on the exact page it came from, which method produced it, what the AI was given to read, and who checked it. A number without its source is a rumor; Grooper's numbers show their work. It is one system, sole-authored in one codebase: scanning, OCR across 6 engines, document separation, classification, extraction, validation against your systems of record, human review with the source region highlighted, redaction, and delivery. When you need something Grooper doesn't do natively, you configure it, express it, or code it through 61 documented extension points, without leaving the product. And the whole platform is agent-operable through MCP, the open protocol, so your own AI agents (not a captive vendor copilot) can build and operate Grooper. Run it your way: on your hardware, including AI models on GPUs you own, so regulated content never leaves the building; in your own cloud tenant under your governance; or hosted and managed by BIS. The c
  • 5
    Alteryx Reviews
    Embrace a groundbreaking age of analytics through the Alteryx AI Platform. Equip your organization with streamlined data preparation, analytics powered by artificial intelligence, and accessible machine learning, all while ensuring governance and security are built in. This marks the dawn of a new era for data-driven decision-making accessible to every user and team at all levels. Enhance your teams' capabilities with a straightforward, user-friendly interface that enables everyone to develop analytical solutions that boost productivity, efficiency, and profitability. Foster a robust analytics culture by utilizing a comprehensive cloud analytics platform that allows you to convert data into meaningful insights via self-service data preparation, machine learning, and AI-generated findings. Minimize risks and safeguard your data with cutting-edge security protocols and certifications. Additionally, seamlessly connect to your data and applications through open API standards, facilitating a more integrated and efficient analytical environment. By adopting these innovations, your organization can thrive in an increasingly data-centric world.
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