Syneur.ai engineers AI-core products from the ground up — built on deep industry knowledge, not templates. We don't add AI to businesses; we build businesses around AI.
We enable businesses to thrive by unlocking the full potential of AI — not as a feature layer, but as the intelligent core of every product we build.
We don't wrap existing tools in a generic interface. We study industries deeply — their data, workflows, and pain points — then engineer intelligence into the very foundation. Every product we ship is a purpose-built AI system where the model is the product.
We immerse in the domain first. Insight drives the design. Technology follows.
We map real workflows, study domain data, and talk to practitioners before designing a single system. Insight first, technology second.
We design purpose-built AI systems — the right model, the right data pipelines, the right feedback loops — tailored precisely to the domain.
We ship complete products, not prototypes. Each release gets smarter from real-world usage and compounds value over time.
Direct access to business data and intelligent action — no dashboards, no SQL, no tickets. Just natural conversation with your ERP.
Sevrus is Syneur's agentic AI layer for enterprise ERP — a system that gives every person in an organisation direct access to their business data and the ability to act on it, in plain English. It sits on top of an existing ERP without replacing anything, connecting two purpose-built agents: Lumis, which reads across all modules and returns accurate, structured answers in seconds, and Nexus, which translates decisions into completed ERP actions with full validation and audit trail. No dashboards to navigate, no SQL to write, no tickets to raise — just a conversation that reaches directly into live data.
From specialized ML middleware to autonomous agentic architectures, we build systems that drive real enterprise value.
Engineered and integrated a robust ML Middleware pipeline designed to power advanced predictive modeling and data analytics.
Developed an autonomous Agentic AI framework for the Upvoit platform (a comprehensive resource management and scheduling suite). Engineered a secure Permission-Based Access Control (PBAC) system utilizing a 'Bouncer' and 'Guide' architecture to seamlessly manage AI interactions across chat, reports, and charts.
Two complementary perspectives. One shared conviction — AI must be built thoughtfully, responsibly, and for real impact.
Known for his interdisciplinary approach, Kashish integrates research-based solutions, mathematical optimization, and rigorous project management into every product. His dedication ensures that Syneur's systems are not just intelligent, but precise, efficient, and genuinely impactful.
With deep experience in AI, cloud computing, and large-scale system implementation, Harsh brings a rare combination of technical depth and ethical clarity. His vision drives Syneur to build AI that is powerful, responsible, and built to earn trust over the long term.