We build systems where AI meets the real world.
VioletStack is an applied-research company working across education, workflow tooling, and agriculture, and turning the ideas that are ready into products people use every day.
Three engineers. Two products in active use. One open research problem we think matters.
We build systems at the intersection of AI, computer vision, and real-world infrastructure, in education, workflow tooling, and agriculture. We treat our products as downstream of a research process: pick hard, real-world data problems, validate with rigor, then decide what's ready to become something people use.
Not a research institute in the academic sense: an applied, R&D-led team that ships.
Four products.
One team behind them.
Each stands on its own. We keep the numbers honest: capability and stage, never invented adoption stats.
A white-label school ERP: your school's own branded web dashboard and mobile apps for attendance, academics, fees, and communication.
AI-powered Kanban with GitHub-aware workflows and story-to-task intelligence, built for modern teams.
Satellite crop intelligence for India. No ground surveys required. Phenology-based classification from Sentinel-2 & Sentinel-1 time series.
* CropSense is a working name, subject to rebrand.
We don't just ship products. We work on open problems.
Applied computer vision and edge AI, remote sensing for agriculture, and how emerging-market institutions digitize their data. The work that's rigorous enough becomes a product; the rest keeps advancing.
Explore our researchWinner: ECB Data Challenge 2026
Co-founder Parikshit Sharma's team won at the External Statistics Conference in Kraków, selected from university teams across Europe and presented on stage to central bankers and researchers.
Pre-traction, and honest about it. Here's what a diligent reader can check.
No adoption counts, no "trusted by" logos. Those get added when they're real and verifiable.
Three engineers.
MEng in Computer Vision & AI at the University of Limerick. Formerly early engineer to Tech Lead at Kazam. Led the ECB Data Challenge 2026 winning team.
LinkedInBack-end engineer: Node.js, TypeScript, GraphQL, RAG pipelines and cloud architecture across AWS, Azure & GCP. Microsoft Certified, Azure AI Fundamentals.
LinkedInFull-stack and applied engineering, incl. Ruby on Rails; currently at Grafieks Analytics. Manav Rachna University; long track record in hackathons and dev community-building.
LinkedIn