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Build, Maintain, and Modernize With RapidX®
RapidX®: Agentic AI Platform Purpose-Built for Your Business
Build, maintain, and modernize software with AI agents that accelerate delivery and improve quality.
Build, maintain, and modernize software with AI agents that accelerate delivery and improve quality.
A proprietary agentic AI platform, Hexaware's RapidX® embeds intelligence across the full software development lifecycle to reduce technical debt, close knowledge gaps, and eliminate legacy complexity.
How Enterprises Scale and Optimize RapidX® Operations
Enterprises accelerate the software development lifecycle by embedding AI agents directly into build, maintenance, and modernization workflows. Hexaware's RapidX® brings business context and code intelligence into each stage—refining stories, generating code, and automating testing. It replaces slow, linear SDLCs with an AI-native workflow built for speed and quality.
RapidX® AI agents accelerate software delivery, streamline engineering, and modernize legacy applications end-to-end.
AI-powered Build for Faster Delivery
RapidX® AI agents bring business context and automated intelligence into software development, improving productivity, build quality, and time to market.
AI-driven Ongoing Engineering
RapidX® AI agents support engineering with product, application, and code insights to reduce SME dependency, streamline maintenance, and speed feature updates.
AI-powered Modernization
RapidX® reverse-engineers legacy applications to extract rules, dependencies, and workflows, creating actionable blueprints for agile modernization.
Software development interweaves product strategy, architecture, engineering, and business objectives, making speed, quality, and alignment harder to sustain.
RapidX® uses AI-powered automation to understand code, industry context, and strategic intent, helping teams simplify and accelerate software development.
RapidX® acts as a cognitive mesh, weaving every functional thread intelligently into an AI-driven, context-aware system built for speed and quality.
Explore the development challenges that slow software delivery, from fragmented systems to backlog gaps.
Complex Enterprise Software
Enterprise apps span tech stacks, legacy systems, COTS, and internal platforms, creating fragmentation and debt.
Backlog Gaps and Misalignment
Weak specifications and backlog gaps cause misalignment, rework, scope confusion, and repeated clarifications.
Poor Estimation and Impact
Poor effort and impact estimates drive rushed delivery, resource misallocation, regressions, and hidden dependencies.
Flawed Technical Design
Incomplete designs lead to scalability issues, frequent redesigns, high maintenance costs, and long-term complexity.
Developer Productivity Gaps
Technical debt, rework, poor code quality, flaky tests, slow reviews, and excess meetings drain developer productivity.
Slow Onboarding and Knowledge Gaps
Scattered knowledge slows developer onboarding, increases ramp-up time, and raises dependency on SMEs for context.
RapidX® embeds AI-powered virtual project gurus into development workflows—acting as trusted allies to your project teams. Trained in your application landscape, engineering principles, and best practices, they streamline execution without compromising quality.
AI refines epics, user stories, and estimations so feature development stays aligned with business intent. This improves execution predictability and helps teams move faster with clearer delivery direction.
AI assists in solution design, architectural decisions, and implementation planning. It helps ensure scalability, reuse, and stronger alignment with enterprise standards across every stage of software development.
AI strengthens engineering workflows with automated test generation, regression automation, and system-wide reliability checks, helping teams improve software quality and reduce downstream defects.
Software isn’t just built—it must evolve intelligently while staying robust. Without discipline, it grows complex and inefficient.
RapidX®’s Cognitive Continuity is an AI-driven ecosystem that ensures every modification aligns with best practices and system health.
RapidX®’s AI agents are engineers’ Allies trained on your IT portfolio—delivering AI-driven software continuity and maintenance at scale.
See how technical debt, knowledge gaps, dependencies, downtime, and quality issues slow software evolution.
Impact Gaps and Tech Debt
Weak impact analysis and frequent changes cause regressions, repeated fixes, and rising technical debt.
Onboarding and Knowledge Silos
Poor documentation slows new developers, while departing employees leave gaps that increase errors and redundancy.
Delayed Enhancements and Dependencies
Unclear dependencies delay feature rollouts, create workarounds, and stall system updates, causing release bottlenecks.
Slow Issue Resolution and Downtime
Slow root-cause analysis extends downtime, affects SLA compliance, and keeps teams focused on firefighting.
Quality Gaps After Release
Limited test coverage and weak automation increase post-release defects, rollback risks, and costly fixes.
Fragile Systems and Security Risk
Minor legacy updates can disrupt systems, while outdated platforms raise compliance and security risks.
RapidX® Cognitive Continuity integrates AI-driven engineering agents that deeply understand an organization’s application codebases, system interdependencies, connectivity, data flows, and embedded business logic. Trained on institutional domain knowledge, these agents take on specialized roles to drive structured, intelligent software evolution.
By orchestrating the AI agents through agentic AI, RapidX® eliminates bottlenecks, accelerates IT productivity, and creates a seamless, continuous engineering ecosystem that future-proofs software evolution.
RapidX® agents perform ripple-effect analysis to assess downstream change impact and generate precise implementation plans. They also support upgrade estimations, troubleshooting, bug replication, and quality enforcement to minimize disruptions and uphold engineering guardrails.
Legacy systems—mainframes, older client-server architectures, and outdated middleware—are costly to maintain with a shrinking talent pool.
RapidX® simplifies modernization with generative AI—identifying business logic, mapping dependencies, and extracting critical insights.
RapidX® AI Agents help create a structured blueprint for modernization, including architecture designs, transformation roadmaps, and more.
Understand how rising costs, skill shortages, SME dependency, security risks, and compliance gaps limit modernization.
Rising Legacy Maintenance Costs
Legacy maintenance could consume majority of IT budgets, with costs rising from licensing and fixes.
Shrinking Mainframe Talent Pool
Mainframe expertise is declining, making legacy system maintenance more difficult and expensive.
Innovation Slowed by Legacy Tech
Legacy technology limits progress with AI, cloud, and automation, slowing growth and innovation.
Poor Ecosystem Integration
Outdated architectures struggle to connect with cloud platforms, APIs, and modern technologies.
Increased Security Exposure
Aging systems are more vulnerable to failures, breaches, compliance risks, and business disruption.
Compliance and Regulatory Risk
Legacy systems struggle to keep pace with evolving regulations and increasing legal and reputational risk.
RapidX® AI agents conduct deep code analysis to decode undocumented legacy systems, including mainframes, older client-server technologies, and middleware. They uncover dependencies, dead code, data lineage, and business logic to support modernization to microservices, cloud-native technologies, and more.
RapidX® AI agents guide engineers, architects, and product teams through modernization. Product agents create roadmaps, themes, epics, and stories, while engineering and QA agents define solution designs, implementation paths, test cases, regression testing, and validation.
RapidX® AI SMEs support business scenario alignment and architectural clarity. They help mine existing process flows, define new scenarios, and create enterprise, solution, and technical architecture covering components, integrations, and interdependencies.
RapidX® powers end-to-end application modernization—faster migrations, reduced risk, and future-ready systems.
RapidX® accelerates software engineering by embedding AI agents with business context and code intelligence directly into development workflows. These agents span build, maintenance, and modernization—refining stories, generating code, automating testing, and reverse-engineering legacy systems. RapidX® acts as a cognitive mesh, weaving each functional thread into an AI-driven, context-aware system that improves both speed and quality across the SDLC.
RapidX® improves velocity by using AI to understand code, industry context, and strategic intent, helping teams simplify and speed up development. For quality, its agents generate tests automatically, run regression testing, and perform system-wide reliability checks to reduce downstream defects. This pairing lets teams move faster while strengthening build quality—supported by autonomous validation and ripple-effect analysis across the development lifecycle.
RapidX® modernizes legacy applications by using generative AI to decode undocumented systems—including mainframes, older client-server technologies, and middleware. Its AI agents conduct deep code analysis to uncover dependencies, dead code, data lineage, and business logic. From there, it creates structured blueprints—architecture designs and transformation roadmaps—that guide agile modernization to microservices and cloud-native technologies without lengthy rewrites.
Yes. RapidX® embeds AI agents directly into existing development workflows rather than replacing them. Its virtual “guru” agents are trained on an organization’s own application landscape, engineering principles, and best practices, so they support execution within established standards. This lets teams add AI-assisted design, coding, and validation across the SDLC while maintaining governance, quality, and enterprise guardrails.
RapidX® uses AI to reverse-engineer legacy codebases and recover knowledge that often lives with a few SMEs. Its agents perform deep code analysis to extract business rules, map dependencies and data flows, and identify dead code and data lineage. Trained on institutional domain knowledge, they capture this context in blueprints and reusable insights—reducing SME dependency and preserving critical logic through modernization.
Enterprises choose RapidX® because it goes beyond code generation to orchestrate agentic AI across the full build-maintain-modernize loop. Unlike standalone coding assistants, RapidX® combines business context, code intelligence, and governance—with product, engineering, and QA agents working within enterprise guardrails. Backed by Hexaware’s enterprise delivery experience, it targets outcomes like 10× faster releases and up to 70% lower costs.
Build, Maintain, and Modernize With RapidX®