Listing Thumbnail

    Houndoc

     Info
    Sold by: Blend 
    Deployed on AWS
    Houndoc is a highly customizable Insight Engine powered by advanced AI and Generative AI technologies, designed to enable teams to take actions based on intelligent, context-aware insights.

    Overview

    Houndoc is a highly customizable Insight Engine powered by advanced AI, including Machine Learning and Generative AI, combined with Cognitive Search technologies. It enables teams to take data-driven actions based on intelligent, context-rich insights. With over a dozen successful implementations across Top 100 companies in LatAm, the USA, and EMEA, Houndoc demonstrates proven effectiveness in transforming raw data into valuable business outcomes.

    Highlights

    • Data Analytics
    • GenAI
    • AI

    Details

    Sold by

    Delivery method

    Deployed on AWS

    Unlock automation with AI agent solutions

    Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
    AI Agents

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (6)

     Info
    Dimension
    Description
    Cost/unit
    nuv_hou_06_04
    Houndoc - Core - SAAS (1 - 10 Usuarios nombrados)
    $26,000.00
    nuv_hou_06_05
    Houndoc - Core - SAAS (11 - 50 Usuarios nombrados)
    $53,000.00
    nuv_hou_06_06
    Houndoc - Core - SAAS (51 - 100 Usuarios nombrados)
    $121,000.00
    nuv_hou_06_07
    Houndoc - Core - SAAS (100 - 500 Usuarios nombrados)
    $242,000.00
    nuv_hou_06_08
    Houndoc - Core - SAAS (501 - 1000 Usuarios nombrados)
    $503,000.00
    Houndoc - Core - SAAS (11 - 50 Users) - Year
    Houndoc - Core - SAAS (11 - 50 Users) - Year
    $530,000.00

    Vendor refund policy

    If you experience issues, we offer the following refund policy:

    Refund Eligibility: Refunds are available for billing errors or overcharges. Request within 30 days of the billing date. Non-Refundable Items: No refunds after 30 days or for custom configurations. Requesting a Refund: Contact us at support@houndoc.ai  with your order number, issue description, and date. Processing Refunds: We will evaluate and respond within 5 business days. Refunds may take up to 45 days.

    Custom pricing options

    Request a private offer to receive a custom quote.

    How can we make this page better?

    We'd like to hear your feedback and ideas on how to improve this page.
    We'd like to hear your feedback and ideas on how to improve this page.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Resources

    Vendor resources

    Support

    Vendor support

    Email Support: For assistance with any issues, please contact us at support@houndoc.ai .

    Support Hours: Our support team is available Monday to Friday, from 9:00 AM to 6:00 PM (UTC -5).

    Level of Support: We offer basic email support as part of the product subscription. For critical issues, we aim to respond within 24 hours during business hours. For general inquiries, we typically respond within 2 business days.

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

     Info
    Updated weekly

    Accolades

     Info
    Top
    10
    In Managed Services
    Top
    100
    In Natural Language Processing
    Top
    10
    In Text/OCR

    Customer reviews

     Info
    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    0 reviews
    Insufficient data
    Insufficient data
    Insufficient data
    Insufficient data
    21 reviews
    Insufficient data
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Artificial Intelligence Framework
    Advanced AI technologies integrating Machine Learning and Generative AI capabilities
    Cognitive Search Technology
    Context-aware search mechanism enabling intelligent data retrieval and analysis
    Insight Generation
    Automated intelligent insight extraction from complex data sources using advanced algorithmic techniques
    Data Processing Engine
    Customizable platform for transforming raw data into actionable business intelligence
    Multi-Domain Compatibility
    Supports implementation across diverse enterprise environments with proven cross-regional effectiveness
    Enterprise Connector Framework
    Supports 95+ connectors for integrating diverse enterprise applications and data sources including Confluence, Box, SharePoint, Salesforce, and ServiceNow
    Metadata Enrichment
    Utilizes AutoClassifier tool for categorizing, enriching, and augmenting enterprise knowledge to improve searchability and AI data consumption
    AI Technology Integration
    Enables integration with AWS AI technologies like Bedrock and Rekognition for advanced search, discovery, and generation capabilities
    Data Preparation Mechanism
    Implements custom data access, preparation, and exposure strategies to reduce AI hallucinations and optimize knowledge retrieval
    Intelligent Search Engine
    Provides advanced search functionality with custom-built user interface for delivering information through search queries, AI generation, and native workflow experiences
    Machine Learning Extraction
    Advanced machine learning-based document processing with 99% accuracy for extracting data from diverse document types
    AI Infrastructure
    Proprietary model-based architecture capable of reading and understanding multiple content formats with 98.5% automation rates
    Enterprise Data Processing
    Capability to transform non-machine readable data formats into structured, machine-readable information across organizational workflows
    Content Understanding
    Advanced AI system that can process complex documents including handwritten forms, PDFs, and low-resolution images
    Generative AI Enablement
    Platform designed to support generative AI applications by providing automatically labeled enterprise data for model training

    Contract

     Info
    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

     Info
    0 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    0%
    0 AWS reviews
    No customer reviews yet
    Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.