Accelerate decision-making and streamline operations with this comprehensive enterprise AI analysis platform designed for organizations that demand precision, speed, and scalability. Built on advanced artificial intelligence, the platform delivers 500+ pre-built analysis templates spanning cybersecurity, legal compliance, healthcare operations, financial analysis, government administration, manufacturing, real estate, retail, tax preparation, and more. Each template is expertly crafted to handle industry-specific workflows, from regulatory compliance checks and grant justifications to risk assessments and audit preparation, reducing analysis time from hours to minutes while maintaining accuracy and consistency. The platform's intelligent AI chat assistant acts as a domain expert across all industries, providing contextual guidance, answering complex queries, and generating comprehensive reports on demand. Collaborative document editing enables teams to work simultaneously on analysis projects, while multi-modal search capabilities including semantic search, database queries, and web research ensure you can locate critical information instantly. Advanced reporting and analytics dashboards provide real-time visibility into workload distribution, project status, and team performance, empowering managers to optimize resource allocation and track deliverables effortlessly. Perfect for enterprises, government agencies, law firms, healthcare organizations, and consulting companies that handle high volumes of complex documentation and analysis. Whether you're managing federal oversight responses, conducting cybersecurity audits, preparing legal briefs, analyzing financial statements, or coordinating multi-department projects, this production-ready platform integrates seamlessly into existing workflows with zero technical debt and comprehensive API support. Deploy on-premises or in the cloud, customize templates to your specific requirements, and scale confidently as your organization grows. Key Keywords: enterprise AI, document analysis automation, compliance management, workflow optimization, collaborative platform, intelligent templates, semantic search, business process automation, regulatory reporting, multi-industry solution, task management, analytics dashboard, API integration, on-premises deployment, cloud-ready, scalable architecture
Highlights
Secure AI chat in a user or corporate workspace with BYO models, citations, file uploads, and retrieval from databases, internal knowledge, or secure web locations. AgenticAI Design builds governed visual workflows with guardrails, human-in-the-loop, scheduling, and connector/model actions. Installed in your environment, inheriting client security with encryption at rest/in transit and no data shared outside.
Enterprise search unifies internal, web, database, and uploaded-file discovery with semantic filters, previews, ingestion tracking, and spreadsheet export. Reporting turns natural-language business questions into KPI reports, dashboards, charts, forecasts, SQL visibility, and HTML/PDF exports. Collaboration and workloads streamline AI drafting, reviews, task boards, dependencies, Gantt/chart views, reminders, and workflow automation.
Enterprise settings: identity setup, domain-scoped connectors, OAuth/API secrets, SSL, tenant defaults, and secure runtime controls. Model management: BYO models, routing, custom model CRUD, Bedrock import, and artifact upload. Advanced operations: metadata filters, indexing status, predictive analytics, proposal reviews, role assignment, dependencies, automation payloads, and workflow run results.
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.
Try this product free for 30 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
You pay for this platform based on usage, billed per hour. Pricing runs on a single dimension: the t3.2xlarge compute instance, measured in hours. Your cost scales with how many hours the instance runs. There are no separate tiers or seat-based charges. The platform runs inside your own AWS environment or a controlled cloud perimeter, so you pay for the running instance time you consume. Total cost depends on your active hours across enterprise search, AI chat, reporting, drafting, and agent workflows.
Top-of-mind questions for buyers
What compute resources do I get with the t3.2xlarge instance I pay for?
The t3.2xlarge is a general-purpose AWS instance type. It provides 8 virtual CPUs and 32 GiB of memory. You run the platform on this instance, and the hourly rate covers that running compute. Your bill reflects each hour this instance is active.
Am I charged when the t3.2xlarge instance is stopped or paused?
Software charges meter running time only. A fully stopped instance does not accrue hourly software charges. Stopped instances may still incur underlying AWS storage fees for attached volumes. To stop billing for the software, shut the instance down when it is not in use.
Does running more workspaces like search, chat, and agents raise my hourly cost?
No. You pay per hour the instance runs, not per workspace or feature. Enterprise search, domain-aware chat, reporting, collaborative drafting, and agent orchestration all run on the same instance. Using more of these functions does not add separate charges; only active instance hours affect your bill.
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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
Third-I AMI package :
Added a one-command EC2 installer.
Added a local production Docker Compose stack on port 80.
Added persistent Docker volumes and automatic restart.
Added a systemd service.
Added an AMI cleanup/preparation helper.
Added EC2 and AWS Marketplace AMI publication instructions.
Added explicit Docker installation and verification instructions to README.md.
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AWS infrastructure support
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