Sold by: Code Creator
Deployed on AWS
Turn long, sensitive PDFs into page- ited Word reports privately in your AWS account. Runs without AI or GPU; optionally integrates Amazon Bedrock, OpenAI, Anthropic, or Local Muse.
Overview
Private AI Document Evidence Analyst by Code Creator
Audit, risk, procurement, compliance, and due diligence teams face a common challenge: reviewing long, sensitive PDFs and producing professional, evidence-backed reports - without exposing confidential documents to external services. Private Document Evidence Analyst solves this by running entirely inside your own AWS account, keeping your data under your control from upload to final report.
What You Get
With the Verified Evidence workflow, your team can perform complete deterministic document analysis without requiring an AI provider, API key, GPU, or external AI service. Choose from built-in review types - Supplier Risk, Internal Audit, Executive Due Diligence, or Custom Review - and generate a decision-ready Word (DOCX) report with findings tied directly to source pages through exact page citations.
How It Works
- Upload your PDF to the application running on your EC2 instance
- Select a review type that matches your use case
- The Verified Evidence engine performs deterministic analysis and extracts page-cited findings
- Download a professional Word report ready for stakeholders and decision-makers
- Optionally deliver completed reports to your private S3 bucket before automatic EC2 shutdown
Optional AI-Powered Synthesis
For teams that want deeper analysis beyond deterministic evidence retrieval, Verified Evidence plus AI Analysis supports multiple provider choices:
- Amazon Bedrock - Uses your EC2 IAM role without storing AWS access keys, keeping credentials secure
- OpenAI or Anthropic - Configure your own API credentials for external AI synthesis
- Local Muse - Run private local inference on a compatible NVIDIA GPU instance with no data leaving your account
These AI services are entirely optional and are not required for the core Verified Evidence workflow. Note that OpenAI and Anthropic options may send selected review or document content to those external providers and may incur separate provider charges.
Security and Privacy by Design
Private Document Evidence Analyst is built around a privacy-first architecture:
- Customer-controlled deployment - The product runs as an AMI in your AWS account; documents never leave your environment
- First-boot generated credentials - Unique access credentials are generated at initial launch
- HTTPS access - Secure encrypted connection to the application interface
- No external data transfer - Source PDFs are not copied to S3; only completed Word reports are optionally delivered to your private bucket
- IAM role-based access - Amazon Bedrock and S3 integrations use your EC2 IAM role rather than stored access keys
- Persistent storage - Review history, documents, reports, provider settings, and configuration persist across EC2 stop and start cycles
Built-In Cost Controls and Reliability
The product includes automatic EC2 cost controls to help manage spend. When using S3 report delivery, if a required delivery fails, the instance remains running so you can correct the configuration and retry rather than losing access to your report.
CPU-First Architecture
Private Document Evidence Analyst is CPU-first by default, combining deterministic evidence retrieval, exact page citations, professional Word output, optional AI analysis, S3 report delivery, persistent review history, and automatic EC2 cost controls - all in a deployment you own and operate.
Get Started
Subscribe through AWS Marketplace, launch the AMI in your AWS account, and begin reviewing documents and generating evidence-backed reports. Contact Code Creator to discuss your specific use case or request a walkthrough of the product.
Highlights
- Page-cited evidence reports from long PDFs without sending data to external services - Unlike cloud-based document review tools that transmit sensitive files to third-party servers, Verified Evidence processes documents entirely within your AWS account. Review complete documents for supplier risk, internal audit, executive due diligence, or custom objectives and generate professional Word reports with exact source-page references.
- Private AWS deployment with flexible AI integration when you need it - Run the standard Verified Evidence workflow on standard EC2 instances without configuring IAM permissions for AI services or provisioning GPU resources. When deeper analysis is needed, enable Amazon Bedrock, OpenAI, Anthropic, or the private Local Muse inference engine without changing your deployment.
- Automatic EC2 shutdown to eliminate idle compute costs - After processing completes, the application delivers finished Word reports to your designated Amazon S3 bucket and automatically stops the EC2 instance. Unlike always-on document analysis platforms that accumulate charges around the clock, this pay-per-use approach means you only incur compute costs during active document review sessions, helping teams control spend on intermittent audit and compliance workloads.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
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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.
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 | Cost/hour |
|---|---|
g6.4xlarge Recommended | $0.25 |
m5.xlarge | $0.25 |
m5.8xlarge | $0.25 |
m5.24xlarge | $0.25 |
m5.4xlarge | $0.25 |
m5.2xlarge | $0.25 |
m5a.xlarge | $0.25 |
m5a.8xlarge | $0.25 |
m5a.4xlarge | $0.25 |
m5a.2xlarge | $0.25 |
Dimensions summary
You pay by the hour based on the AWS EC2 instance you choose to run this software. Pricing scales with instance size and family. Larger sizes (like xlarge up to 48xlarge) hold more compute and cost more per hour. The m5, m5a, m6a, m6i, m7a, and m7i families are general-purpose compute options. The g6 family adds GPU capacity for graphics or accelerated workloads. The t3 and t3a options offer burstable performance for lighter use. You pick one instance type and pay only for hours used.
Top-of-mind questions for buyers
You pay for the AWS EC2 virtual machine running this software. Each instance type maps to a set amount of CPU, memory, and (for g6) GPU capacity. You are billed for each hour that instance runs. Bigger sizes carry more compute and cost more per hour.
Software charges accrue only while your chosen instance runs. A fully stopped instance stops accruing hourly software fees. Note that stopped instances may still incur underlying AWS storage costs for attached volumes, which are separate from this software's hourly charge.
Yes. You are not locked to one instance type. You can stop your current instance and launch a different family or size, then pay that new type's hourly rate. Choose g6 for GPU workloads, t3 or t3a for lighter burstable use, and the m-families for general compute.
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Vendor refund policy
You may cancel the AWS Marketplace subscription at any time. No contracts. Software charges already incurred are not refundable.
Custom pricing options
Request a private offer to receive a custom quote.
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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
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
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Additional details
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Vendor resources
Support
Vendor support
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.
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