Business teams waste hours switching between CRM, research tools, content platforms, and analytics dashboards - none of which understand your proprietary data. Generic AI assistants hallucinate without grounding, and single-agent copilots cannot coordinate complex workflows across departments.
Qorvus AI: Coordinated Specialist Agents Over Your Data
Qorvus AI is an enterprise business intelligence platform powered by Agentic RAG (Retrieval-Augmented Generation). Unlike single-model tools, Qorvus deploys 8 domain-specialist AI agents that reason over your proprietary documents and coordinate through a Multi-Agent Orchestrator - eliminating context-switching and delivering grounded, explainable answers.
Why coordinated agents outperform single-model approaches: Each agent is optimized for its domain, reducing generic responses. The orchestrator routes complex questions across agents, synthesizing insights no single tool could produce. Built-in Bedrock Guardrails provide native PII protection without third-party add-ons.
8 Specialist AI Agents
Sales Lead Agent: Generates qualified leads, optimizes sales processes, and manages pipeline
Researcher Agent: Conducts market research, competitive analysis, and surfaces industry insights
Copywriter Agent: Creates marketing copy, sales materials, and email campaigns
Document Analyzer Agent: Processes PDF, DOCX, and TXT files with AI-powered Q and A
Analytics Agent: Tracks business metrics, performance data, and predictive insights
Knowledge Base Agent: Manages and retrieves from your proprietary document library
Multi-Agent Orchestrator: Coordinates multiple agents for complex, cross-functional questions
Example Workflow: B2B Sales Team
A sales team uploads call transcripts, proposal documents, and CRM exports into Qorvus. The Sales Lead Agent surfaces expansion opportunities ranked by deal size. The Researcher Agent cross-references competitive positioning. The Copywriter Agent drafts personalized outreach - all grounded in your actual data, not generic templates.
Getting Started After Subscription
Subscribe through AWS Marketplace
Create your Qorvus account via the registration link
Upload your documents (PDF, DOCX, TXT) to build your knowledge base
Configure agent preferences and team access
Start querying agents with natural language questions
Key Capabilities
RAG-powered responses grounded in your proprietary data
Real-time streaming responses with WebSocket support
Built-in CRM with sales pipeline management
Email campaign management and tracking
Customer persona development
Market research and competitive analysis
Bedrock Guardrails for PII protection
Multi-tenant architecture with full data isolation
Role-based access control with MFA
Audit trails for compliance
Platform Tiers
All plans include access to 8 AI agents, RAG knowledge base, CRM, document processing, streaming responses, and audit trails. Professional and Enterprise tiers offer expanded capacity and priority support.
To discuss which tier fits your team or to request a guided demo, contact us at support@aaiss.ai.
Built on AWS
Qorvus runs natively on AWS infrastructure, leveraging Amazon Bedrock for foundation models and Bedrock Guardrails for PII protection. Multi-tenant isolation ensures your data remains separate and secure.
Built by AAiSS (Agentic AI Systems and Solutions Ltd), a UK-registered company and part of the Telekomatrix group.
Highlights
8 Specialist AI Agents: Sales Lead, Marketing Strategist, Researcher, Copywriter, Document Analyzer, Analytics, Knowledge Base, and Multi-Agent orchestration - all powered by RAG over your proprietary data
Enterprise RAG System: Upload documents (PDF, DOCX, TXT) to build AI knowledge bases. Agents reason over your data with Bedrock Guardrails PII protection and explainable responses
Complete Business Platform: Built-in CRM, sales pipeline, email campaigns, market research, customer personas, and real-time analytics - unified with AI-powered insights
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 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.
This contract-based platform bills on two separate units. User Seats give one person access to all 8 AI agents, the RAG knowledge base, CRM, and document processing. AI Queries cover each AI-powered request that runs RAG retrieval, multi-agent analysis, and response generation. The two units work independently. You add seats for the number of people using the platform. You add query volume based on how much analysis your teams run. Costs scale with the seats you provision and the queries you consume.
Top-of-mind questions for buyers
What counts as one AI Query for billing purposes?
One AI Query is a single AI-powered request that runs three steps together: RAG retrieval from your knowledge base, multi-agent analysis across the AI agents, and response generation. Each request you submit counts as one query, no matter how many agents coordinate on it.
What does one User Seat include for the person assigned to it?
One User Seat gives a single person access to all 8 AI agents, the RAG knowledge base, the CRM, and document processing. Each seat covers one named user. To add people to the platform, you provision more seats.
How do User Seats and AI Queries combine on my bill?
The two units bill independently and both appear on the same invoice. Seats scale with the number of people using the platform. AI Queries scale with how much analysis your teams run. Query volume tends to drive cost when heavy analysis runs; seat count drives cost for large teams with lighter usage.
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Vendor refund policy
No refunds. Unused query credits do not roll over between billing periods.
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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.
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.
All Qorvus AI subscribers receive email support at support@aaiss.ai for product questions, troubleshooting, and account assistance.
Support Tiers
Standard (all plans): Email support for general inquiries, usage guidance, and issue resolution.
Professional tier: Priority email response for faster issue resolution.
Enterprise tier: Dedicated account manager and phone support for hands-on assistance with configuration, onboarding, and escalations.
Getting Help
For technical issues, billing questions, or refund requests, contact support@aaiss.ai with your account details and a description of the issue. Our team will acknowledge your request and work toward resolution.
Onboarding Assistance
After subscribing through AWS Marketplace, you will receive a registration link to create your Qorvus account. Our support team can assist with initial document uploads, agent configuration, and team setup to help you reach first value quickly.
For pre-sales questions, demo requests, or to discuss which tier fits your team, reach out to support@aaiss.ai.
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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