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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
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Delivery method
Deployed on AWS
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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.
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.
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.
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.
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.
Updated weekly
By Blend
By Upland Software
By Hyperscience
Sentiment is AI generated from actual customer reviews on AWS and G2
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Generative AI Integration
Powered by Generative AI technologies to generate intelligent, context-aware insights from data
Machine Learning Capabilities
Incorporates Machine Learning algorithms to enable data-driven decision making and pattern recognition
Cognitive Search Technology
Utilizes Cognitive Search technologies to enhance data retrieval and contextual understanding
Customizable Insight Engine
Highly customizable engine architecture that can be tailored to specific team requirements and use cases
Data Analytics Processing
Processes and analyzes data to transform raw information into actionable business insights
Enterprise Security and Permission Management
Preserves source system security controls and translates permissions when indexing content into Amazon Kendra, with item-level security trimming across connected enterprise systems.
Multi-Source Data Integration
Connects content from 95+ enterprise sources including Salesforce, ServiceNow, Confluence, Microsoft platforms, Google Drive, and legacy applications directly into Amazon Kendra.
Content Enrichment and Metadata Enhancement
Applies AutoClassifier to enrich unstructured content with intelligent metadata, entity extraction, and text analytics for optimized searchability and AI output.
Hallucination Reduction for AI Models
Reduces AI hallucinations and improves RAG accuracy by providing structured context and enriched data to AWS AI services.
Flexible Deployment and User Interface Options
Provides customizable UI for safe information delivery through search queries, AI generation, or agentic experiences integrated into native user workflows.
Production-Grade Runtime Environment
Pre-built and optimized Python runtime for document processing tasks with rapid deployment capabilities
Zero-Shot Document Templates
Accelerated processing blueprints for common document types including forms with handwriting, paystubs, bank statements, and invoices without requiring training data
Comprehensive Document Intelligence
Built-in capabilities for document classification, extraction, transcription, complex table handling, and Human-in-the-Loop interfaces with native QA support
High-Throughput Processing Architecture
Massively parallel processing engineered for high-throughput, low-latency performance at scale with intelligent cost orchestration across CPU and GPU resources
Model-Agnostic Pipeline Framework
Support for any model type or custom third-party integration within a single pipeline with centralized versioning, auditability, and full telemetry tracking on all inputs, outputs, and automated decisions
Validated by AWS Marketplace
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ISO/IEC 27001
PCI DSS
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