Overview
AUGMET Agents - AI-Powered Text, Image, and PDF Processing Platform
AUGMET Agents delivers intelligent document and content processing through AI agents that extract, analyze, and summarize information from text, images, and PDF files. Designed for organizations that need to transform unstructured content into actionable insights, AUGMET Agents streamlines information workflows with advanced automation.
Key Capabilities
AI-Powered Document Processing
- Process text documents, images, and PDFs through intelligent AI agents
- Automatically summarize content to extract key information
- Handle multiple document formats in a unified processing pipeline
Optical Character Recognition (OCR)
- Extract text from images and scanned documents with high accuracy
- Convert unstructured visual content into machine-readable text
- Enable downstream analysis and summarization of image-based content
VERA Workflow Enabler
- Integrate with VERA workflows to automate document processing tasks
- Enable end-to-end processing pipelines from ingestion to summarization
- Streamline repetitive information extraction and analysis tasks
Who Is This For?
AUGMET Agents is built for AUGMET users who need to efficiently process large volumes of documents and content across multiple formats. Whether you are dealing with text files, scanned images, or complex PDF documents, AUGMET Agents provides the AI-driven automation to extract and summarize the information you need.
How It Works
AUGMET Agents uses AI agents to intelligently process incoming content. Documents in text, image, or PDF format are ingested, analyzed using OCR and natural language processing capabilities, and then summarized to deliver concise, actionable output. The VERA workflow integration enables automated processing pipelines that reduce manual effort and accelerate information delivery.
Highlights
- AI-powered document processing that handles text, images, and PDFs through intelligent agents. AUGMET Agents automatically extracts and summarizes content from multiple document formats, transforming unstructured information into concise, actionable insights without manual intervention.
- Advanced Optical Character Recognition (OCR) capabilities that convert scanned documents and images into machine-readable text. Extract information from visual content with high accuracy, enabling downstream analysis and summarization of previously inaccessible image-based documents.
- VERA workflow integration that enables automated end-to-end document processing pipelines. Connect AI-powered text, image, and PDF processing into streamlined workflows that reduce repetitive tasks and accelerate information delivery for AUGMET users.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/unit |
|---|---|---|
Agent Runs | Number of AUGMET agents running. | $0.25 |
Input Tokens | Units per 1,000 input tokens | $0.015 |
Output Tokens | Units per 1,000 output tokens | $0.075 |
Vendor refund policy
Not satisfied with AUGMET Agents? Contact us within 48 hours of purchase or renewal to request a refund.
Email: support@basesolve.com Portal: https://augmet.atlassian.net/servicedesk/customer/portal/1
Include your AWS account ID and a description of the issue. Our team responds within 24-48 hours. Refunds are assessed case-by-case based on usage consumed.
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Vendor terms and conditions
Content disclaimer
Delivery details
Amazon ECS (Fargate) — CloudFormation deployment with Bedrock
- Amazon ECS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Feature Release:
- Added knowledgebase integrations with with AUGMET.
- Optimized build for marketplace.
Additional details
Usage instructions
Prerequisites
- Active subscription (License Manager license ARN shown in your subscription).
- VPC with public subnets (load balancer) and private subnets (tasks, with NAT for image pull).
- Amazon Bedrock model access enabled in the deployment Region.
- Deploy the CloudFormation stack (template provided with this version):
aws cloudformation deploy
--template-file ecs-fargate-service.yaml
--stack-name augmet-agno-agents
--capabilities CAPABILITY_NAMED_IAM
--parameter-overrides
VpcId=vpc-xxxxxxxx
PublicSubnetIds=subnet-aaa,subnet-bbb
PrivateSubnetIds=subnet-ccc,subnet-ddd
ContainerImage=<marketplace-ecr-image-uri>
MarketplaceProductCode=<your-product-code>
MarketplaceLicenseArn=<your-license-arn>
AwsRegion=us-east-1
- Get the load balancer URL from the stack outputs and verify:
curl http://<alb-dns>/health
Expect marketplace.entitled=true when license checkout succeeds
- Run an agent:
curl -X POST http://<alb-dns>/api/direct
-H "Content-Type: application/json"
-d '{"task":"Say hello","model_config":{"provider":"bedrock",
"model_id":"anthropic.claude-3-5-sonnet-20241022-v2:0"},
"text":"Hello world"}'
The task IAM role includes aws-marketplace:MeterUsage/RegisterUsage, license-manager:CheckoutLicense/ExtendLicenseConsumption/CheckInLicense, and bedrock:InvokeModel. Point your application at AGNO_API_URL=http://<alb-dns>.
Resources
Vendor resources
Support
Vendor support
AUGMET provides dedicated support to help customers get the most out of their product. Whether you need assistance with setup, troubleshooting, or general inquiries, our active team is here to help.
Support Channels:
- Email: Reach our support team directly at support@basesolve.com for any questions, issues, or refund requests.
- Support Portal: Submit and track support tickets through our dedicated service desk at https://augmet.atlassian.net/servicedesk/customer/portal/1
- Learning Hub: Access self-service resources, tutorials, and documentation at https://ace.augmet.ai/ to help you get started and resolve common questions independently.
Response Times:
Our team is actively monitoring all support channels and typically responds within 24-48 hours of receiving your request.
Getting Help:
For the fastest resolution, please include the following when submitting a support request:
- A clear description of the issue or question
- Any relevant screenshots or error messages
- Steps to reproduce the problem (if applicable)
We are committed to ensuring you have a smooth experience. If you encounter any issues using the services, need help troubleshooting a problem, or wish to request a refund, please reach out through any of the channels listed above and our team will assist you promptly.
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.