Sold by: VeUP
Design and build RAG, fraud detection, and agentic AI workloads for regulated environments on AWS. VeUP helps keep data, models, and integrations within the customer’s AWS account, with security and compliance requirements defined in the engagement.
Overview
VeUP designs and builds AI workloads for organizations that require strong control over data, infrastructure, security, and model integrations.
The engagement can include retrieval-augmented generation, fraud detection models, agentic AI applications, Amazon Bedrock integration, private networking, access controls, monitoring, evaluation, and technical documentation. The architecture is designed around the customer’s AWS environment and agreed data-handling requirements.
Scope, deployment model, data flows, external integrations, security controls, compliance requirements, and acceptance criteria are defined before implementation. Where the agreed architecture requires data, models, and integrations to remain within the customer’s AWS account, those constraints are documented in the statement of work.
A typical engagement is delivered over an estimated 8 to 14 weeks, subject to data readiness, integration complexity, security review, and customer availability.
Highlights
- RAG, fraud detection, and agentic AI implementation for regulated environments.
- AWS-based architecture with customer-defined data-handling and security controls.
- Technical documentation covering architecture, integrations, evaluation, and operations.
Details
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Pricing
Custom pricing options
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Support
Vendor support
Pre-purchase questions: hello@veup.com . Post-purchase support includes architecture coordination, technical delivery communication, implementation documentation, and agreed handover support. Security review, support hours, response times, and post-delivery support should be defined in the statement of work.