Six practice areas. AI built into every one.
From modernizing a twenty-year-old core system to putting AI on the data underneath it, we work end to end — and stay accountable for outcomes, not just deliverables.
Creating a better customer experience, driving cost optimization, and increasing data relevance.
Prakat's application modernization services allow clients to transform their systems with next-generation architecture that increases agility, flexibility, productivity, and profitability. We take on the legacy platforms other vendors won't touch — and modernize them without stopping the business that depends on them.
Case in point: an international healthcare organization needed a modern, integrated health information platform. Prakat built the technology that lets India's individual state health systems exchange data seamlessly with the national Integrated Health Information Platform (IHIP).
AI in this practice: AI-assisted code analysis maps legacy business logic, dependencies and dead code before anything is rewritten, so modernization is faster and lower-risk. Every modernized system is built AI-ready, with clean APIs, event streams and governed data.
Data management, governance, and security for businesses of all sizes.
A modern approach to managing platforms from start to finish — with advanced features including robust data analysis, improved data quality, and eliminated security risk.
Case in point: India's largest energy utility power supply corporation needed to improve operational efficiency while optimizing costs and revenue. Prakat delivered a deep analytics and machine learning solution built on this same data services foundation.
AI in this practice: Data is the foundation of every AI system. We build the governed pipelines, quality controls and retrieval layers that machine learning and generative AI depend on, and the models themselves: forecasting, anomaly detection and optimization.
Full-cycle product engineering, built by dedicated teams.
We design, build, and ship production software across the FinTech, healthcare, energy, and retail stacks we know best — with engineering teams that stay embedded through the full lifecycle, not a handoff after the spec is written.
AI in this practice: Our teams build AI into products: LLM-powered assistants, document intelligence and intelligent search. Drawing on Prakat's test-engineering heritage, we also test AI itself, with model validation, bias and robustness checks before release.
Revenue-critical infrastructure, built to handle scale without breaking.
Billing systems for utilities and service providers where accuracy is non-negotiable — metering, invoicing, and revenue assurance that stay auditable even as transaction volume grows.
AI in this practice: Machine learning strengthens revenue assurance by flagging billing anomalies and leakage early, and forecasting supports usage and revenue planning.
Distributed ledger solutions for regulated environments.
Where transparency and provenance matter as much as performance, we engineer distributed ledger systems that hold up under audit and scale under real transaction load.
AI in this practice: Blockchain and AI meet in provenance: tamper-evident records of the data and decisions behind AI models make them easier to audit.
Enabling unlimited potential.
Prakat's vision for an inclusive world begins with accessibility technology that empowers individuals with different abilities, providing improved access to every possible resource. We continue to drive accessibility and champion inclusivity throughout the digital ecosystem, celebrating Global Accessibility Awareness Day (GAAD) every year.
AI in this practice: AI helps accessibility scale, with automated checks and suggested alt text and captions. Every result is reviewed by accessibility specialists and tested with assistive technology.
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