Products Built with AI
Real, production-grade applications designed and built with AI-assisted innovation—from concept to launch in a fraction of the time.
Built with AI agents
Autonomous AI agents design, build, and refine every interface and workflow.
Enterprise-grade & secure
Compliance, governance, and reliability engineered into every application.
AI powered Applications Delivered in Weeks
Every product runs on autonomous AI agents that understand workflows, data, and compliance — built and delivered at a fraction of traditional development cost.
Agentic AI that reads patient records, surfaces clinical context, and automates charting, orders, and documentation across the EHR.
AI that qualifies buyers, books service appointments, answers inventory questions, and follows up with customers around the clock.
Autonomous AI that plans trips, compares fares, and books flights end-to-end with real-time policy and budget checks.
AI that searches live availability, compares rates, and confirms reservations across thousands of properties in seconds.
Agentic AI for prescription intake, refill automation, drug-interaction checks, and insurance adjudication.
Autonomous AI for stone grading, live pricing intelligence, inventory matching, and faster buyer-seller deal flow.
From brittle legacy code to AI-ready architecture.
A governed, four-stage agentic pipeline analyzes your estate, rewrites code while preserving behavior, proves equivalence with automated tests, then migrates safely to the cloud.
Assess
AI charts dependencies, surfaces hidden business rules, and scores modernization risk across the estate.
Refactor
Agents convert and clean code — legacy Java/.NET to Spring Boot, monolith to microservices — preserving behavioral intent.
Validate
Characterization tests and snapshot checks prove functional equivalence before a single change ships.
Migrate
Migration waves roll to AWS, Azure, or GCP with CI/CD guardrails and real-time governance dashboards.
AI services that do more than write code.
From agentic applications to enterprise-grade LLM integration, HiPaaS ships practical AI with governance, compliance, and measurable outcomes baked in.
Legacy Modernization
AI powered refactoring and code conversion that retire technical debt and unlock AI-ready, cloud-native architectures.
Agentic AI Applications
Autonomous agents that understand workflows, trigger actions, and run multi-step operations across your systems.
Workflow Automation
Automate approvals, intake, routing, and documentation across enterprise and healthcare operations.
Enterprise LLM Integration
Securely connect Claude, OpenAI, and other models to your data with retrieval, guardrails, and audit trails.
AI Document Intelligence
Extract, classify, and search across documents and knowledge bases with grounded, citable answers.
Governed AI Adoption
HIPAA-aware governance, role-based access, and real-time dashboards for compliant AI in regulated industries.
AI services & modernization, answered.
Common questions about AI-powered legacy modernization, agentic AI development, timelines, and governance.
What is AI-powered legacy application modernization?
It is the use of AI agents alongside senior engineers to assess, refactor, validate, and migrate aging codebases into cloud-native, AI-ready systems. HiPaaS analyzes the existing estate, rewrites code while preserving business logic, proves functional equivalence with automated tests, and migrates to the cloud — typically in weeks rather than years.
Which languages and frameworks can HiPaaS modernize?
HiPaaS converts legacy stacks such as J2EE/Java and .NET into modern frameworks like Spring Boot, and decomposes monolithic applications into microservices. Migration waves target AWS, Azure, or GCP with CI/CD guardrails and governance dashboards.
How does HiPaaS preserve business logic during refactoring?
A dedicated QA agent generates characterization and snapshot tests that prove functional equivalence before any change ships, so behavior is preserved. The pipeline first surfaces hidden business rules during assessment, then validates that the modernized code behaves identically to the original.
How long does an AI app build or modernization take?
Most agentic AI applications are built and delivered in about 4–6 weeks, and modernization work ships in weeks rather than the months or years typical of manual rewrites, because autonomous agents handle dependency mapping, refactoring, and test generation at scale.
What is agentic AI, and how does HiPaaS use it?
Agentic AI uses autonomous agents that understand workflows, make decisions, and take multi-step actions across systems. HiPaaS orchestrates a mesh of specialist agents — an Architect agent that plans strategy, an Analyst agent that extracts business rules, a Developer agent that refactors and migrates code, and a QA agent that automates testing and equivalence checks.
Is HiPaaS's AI HIPAA compliant and governed?
Yes. HiPaaS builds HIPAA-aware governance, role-based access, audit trails, and real-time dashboards into its AI services, so AI can be adopted compliantly in regulated industries such as healthcare. Enterprise LLM integrations connect models like Claude and OpenAI to your data with retrieval, guardrails, and audit trails.