Agentic AI Platform — It’s the Domain Context That Powers Software Delivery
RapidX transforms enterprise software delivery through contextually-aware AI agents that understand your codebase as deeply as your most experienced engineers and as comprehensively as your domain experts—but never replace human judgment.
What we aim to solve?
Legacy System Challenges: Rising Maintenance Costs, Shrinking Talent Pool , SME Dependency, Innovation Paralysis, lack of Ecosystem, Security/Compliance/Regulatory Risks.
How does RapidX solve?
RapidX deploys specialized AI agents to modernize legacy applications.
Code Intelligence Agents perform functional MRIs of your codebase, mapping domain logic across multiple architectural layers
Business Blueprint Agents collaborate with stakeholders to craft scalable specifications at enterprise scale
Solution Architecture Agents design future-ready system blueprints with full legacy traceability
Code Assistant Agents transform specifications into working applications—all human-directed, enterprise-trusted
The RapidX Difference:
- AI agents possess deep contextual awareness of codebase, domain intricacies, organizational processes.
- Humans direct and steer, AI reflects team perceptions and workflows.
Result:
- Shift from process-native SDLC to AI-native SDLC.
- Accelerates delivery without sacrificing human expertise or trust.
- Benefits: 40–50% faster modernization, 60% reduction in SME dependency
Deliverables:
- Assessment Phase: Modernization roadmap.
- Execution: Functional comprehension, Functional blueprint, Technical Blueprint, Epics and User stories, Transformed and Modernized source code.
- Testing: End to end testing and its results
Technologies Used by RapidX:
- Azure OpenAI models, AKS, Azure Storage, Cosmos DB for PostgreSQL, Log Analytics, Container Registry, Service Bus, Redis Cache, Azure Disks.
Pricing depends on size and complexity of scope.