Sold by: Augintel
Deployed on AWS
Augintel is a natural language processing (NLP) SaaS product that identifies critical information buried in text within government case management systems and electronic medical records systems.
Overview
Augintel's natural language processing (NLP) SaaS products are used by health and social services clinicians to identify actionable information - such as risks, social determinants of health, and protective factors - buried in narrative data such as case notes or patient notes, while also providing narrative search capability. This enables clinicians, such as child welfare caseworkers, to understand more about those they care for and improve the quality of care delivered. Augintel products are also used by managers and administrators to assess client- and patient-level narrative data at the organizational level, identifying safety and compliance issues, as well as early warning signs, so that leadership can intervene and manage the quality of care delivered by their organization as a whole.
Highlights
- Natural Language Search and Identification of Longitudinal Risks, Strengths and Social Determinants Contained in Narrative Data
- Early Warning and Alert Notifications Based on Narrative/Unstructured Data
- Data Quality and Compliance Monitoring of Narrative/Unstructured Data
Details
Sold by
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 the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Tier 1 SaaS Subscription | Budgetary Price 1-500 Users (Addtl User Pricing Provided Upon Request) | $450,000.00 |
Tier 1 Onboard Services | Budgetary Price 1-500 Users (Addtl User Pricing Provided Upon Request) | $425,000.00 |
Dimensions summary
This contract pricing has two parts that work together. The Tier 1 SaaS Subscription covers your ongoing access to the natural language processing software for case notes and unstructured data. The Tier 1 Onboard Services covers the one-time setup and onboarding work. Both are priced for 1 to 500 users. If you need more than 500 users, you request pricing for the extra users directly from the vendor. You typically pay for both dimensions to get the software running.
Top-of-mind questions for buyers
A user is one person with access to the software, such as a caseworker, clinician, or agency staff member. Pricing covers 1 to 500 named users. If you add users beyond 500, you request pricing for the additional users from the vendor.
You pay both dimensions. The SaaS Subscription is your recurring charge for software access. The Onboard Services charge is a one-time setup fee to get the software running with your data. Both use the same 1-to-500 user band, so your user count drives each amount.
Both dimensions are priced for the 1 to 500 user band as a single tier. Adding users within that range does not push you into a new tier. Once you exceed 500 users, you request pricing for the additional users directly from the vendor.
www.augintel.us
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Payment obligations are non-refundable and fees paid are non-refundable
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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
For support, please contact us at contact@augintel.us .
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 Augintel
By John Snow Labs
By hyScore.io
Top
25
In Classification-Text
Top
25
In ML Solutions, Natural Language Processing
Top
10
In Names Entity Recognition - NER, Sentiment Analysis
Sentiment is AI generated from actual customer reviews on AWS and G2
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AI generated from product descriptions
Natural Language Processing
Identifies actionable information such as risks, social determinants of health, and protective factors from narrative text data in case management and medical records systems
Narrative Search Capability
Enables full-text search functionality across unstructured narrative data including case notes and patient notes
Risk and Alert Detection
Generates early warning and alert notifications based on analysis of narrative and unstructured data to identify safety concerns and compliance issues
Longitudinal Data Analysis
Tracks and identifies risks, strengths, and social determinants across longitudinal narrative data to understand patterns over time
Data Quality and Compliance Monitoring
Assesses narrative and unstructured data at organizational level to monitor data quality and identify compliance violations
Clinical and Biomedical Entity Recognition
Support for 400+ clinical and biomedical entity types with Named Entity Recognition capabilities, including assertion status detection (positive, negative, possible, past, future), clinical relation extraction, and entity resolution to medical coding systems (SNOMED-CT, ICD-10, CPT, RxNorm, LOINC, NDC, MeSH, UMLS).
Pretrained Models and Embeddings Library
Access to 700+ embeddings and 15,000+ pretrained models and pipelines covering tasks including entity recognition, information extraction, spelling and grammar correction, text classification, translation, summarization, and question answering.
Visual Document Understanding
Optical character recognition and visual processing capabilities including form understanding, table detection and extraction, noisy image enhancement, visual document classification, visual entity recognition, DICOM to text conversion, signature detection, and image de-identification.
Domain-Specific NLP Modules
Specialized natural language processing modules for Finance (financial text classification, sentiment analysis, financial entity recognition, entity-linking to Edgar/Crunchbase/Nasdaq databases) and Legal (clause extraction, legal clause classification, legal relationship extraction, entity linking, de-identification) domains.
Scalable Production-Grade NLP Framework
Spark NLP library providing enterprise-grade, scalable, and trainable natural language processing with support for unlimited documents, models, and pipelines, with parallel processing capability limited by the number of floating licenses selected.
Natural Language Processing Capabilities
Named Entity Recognition (NER), keyword extraction with weighted scoring, and text extraction from multiple digital sources
Content Categorization and Classification
Over 750 weighted and scored categories including IAB taxonomy support for website and content classification
Sentiment and Tonality Analysis
Sentiment and tonality detection for analyzed text content
Multi-Language Support
Support for 20+ languages including Chinese, Czech, Dutch, English, Finnish, French, German, Hindi, Hungarian, Italian, Norwegian, Polish, Portuguese, Russian, Spanish, Swedish, Thai, Turkish, and Vietnamese
Real-Time Processing and Scalability
High scalable NLP solution capable of real-time analysis and batch processing with structured JSON response output
Standard contract
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