"Shakalya International is an AI infrastructure company born in India, building for the world. We believe intelligence should be sovereign, accessible, and embedded at the foundation — not bolted on top."
Shakalya International began not in a boardroom but at a university desk in Haryana, India — where a computer science student kept hitting the same wall: powerful AI tools existed, but they were locked behind enterprise paywalls, impossible to integrate, and built for Silicon Valley, not for engineers and analysts trying to build something real in the rest of the world.
The question wasn't 'can AI solve this?' It was 'why does every AI solution feel like it was designed for someone else?' ResumeFlow came first — because getting a job in AI shouldn't require already being inside AI. DataXpress followed because data pipelines shouldn't require a team of engineers. Quantsilica because intelligence should answer to questions, not just queries. SI Sandbox because builders need space to build without asking permission.
That's the ecosystem. Four products, one conviction: that the next generation of intelligence infrastructure should be sovereign, accessible, and built with the same ambition that built the internet.
To make enterprise-grade AI infrastructure accessible to every organization, team, and builder — regardless of their size, geography, or technical headcount. Intelligence should not be a privilege.
To build the world's most coherent AI ecosystem — where data, intelligence, careers, and code share a single sovereign backbone. Where every product makes every other product smarter.
We build in the open, explain our decisions, and never hide behind complexity. We ship what we say we will.
Every tool I needed as a student, as a researcher, as someone trying to build real AI applications — existed somewhere, for someone with a team of engineers and a six-figure cloud budget. I had neither. So I started building the infrastructure I couldn't find.
Shakalya International isn't a startup chasing a trend. It's a conviction that AI infrastructure should work the way the best human organizations work — intelligently, coherently, with each part making every other part stronger. That's why the ecosystem exists. That's why every product we ship is designed to connect to every other.
We're early. We're building fast. And we believe the most important AI company of the next decade will not be built in San Francisco. It will be built by people who understand problems the world hasn't figured out how to fund yet.
While preparing job applications and building ML projects, the conviction to build something different takes root.
The first product ships: ResumeFlow AI. ATS optimization, job description gap analysis, and interview prep.
DataXpress launches. RAG-powered data pipelines that any team can build and query in real time.
Quantsilica ships: multimodal generative and analytical AI. Research paper achieves 97.7% accuracy.
SI Sandbox launches: a browser-native IDE with multi-language support and visual workflow automation.
Global expansion. shakalyainternational.in goes live. Ecosystem begins attracting global builders.
These aren't values we chose because they sounded good. They're the behaviours we've already been demonstrating since day one.
AI infrastructure should belong to the people who build on it. Not to the cloud vendor who hosts it, the model provider who serves it, or the platform that distributes it. Sovereignty means your data stays yours, your models stay yours, and your intelligence stays under your control.
Every decision we make — product, architecture, pricing, hiring — is made with intelligence. We reason from first principles every time.
We ship. We iterate. We don't wait for perfect conditions. Momentum and execution speed define our engineering strategy.
We explain our architecture. We publish our research. We tell users what our AI can and cannot do. Trust is our foundation.
Every product solves real problems for real people — students getting past ATS filters, analysts drowning in data, researchers prototyping ideas.
Comparative analysis of classical machine learning versus deep learning architectures for surface EMG-based hand gesture classification using NinaPro DB5. Random Forest achieved 97.74% accuracy on Exercise A, outperforming CNN baselines.
Shakalya International is early-stage by design. We move fast, ship real products, and operate with the discipline of a company 10 times our size.
Build and ship AI-powered products across the ecosystem. Own entire product surfaces — frontend to model integration.
Design products that feel human despite being built on AI. Own the design system and visual language for every platform.
Conduct original research and translate it directly into production features. Your papers ship as products here.
Shakalya International is open for builders, researchers, enterprise partners, and anyone who believes intelligence infrastructure should be sovereign and accessible.