We build AI orchestration platforms that understand human workflows, decisions, and intent across enterprise and consumer environments. Powered by frontier language models, our platforms enable intelligent automation, reasoning, and decision support at scale—creating the behavioral intelligence infrastructure that advances toward more general, context-aware AI systems.
Early-stage AI startup building orchestration infrastructure
2026 • Chennai, India
Working prototypes in production with live demos available for testing
We build our orchestration platforms around frontier language models to enable reasoning, planning, and intelligent decision support. OpenAI's models provide the foundation for enterprise-grade AI systems that scale across industries.
AI orchestration platforms for enterprise workflows and consumer decision-making
AI Operating System for Enterprise Work
AIOS is a unified AI-powered orchestration layer that sits atop enterprise SaaS applications. It intelligently understands, prioritizes, and automates work across platforms like Microsoft 365, SAP, Jira, ServiceNow, Salesforce, and 15+ other enterprise tools.
AI Intent Orchestrator for Consumers
Bluff is a universal AI platform that functions as an app store without downloads, instantly accessing multiple categories and platforms through a single interface. The platform understands consumer intent and orchestrates decisions across e-commerce, quick commerce, food delivery, ride-hailing, entertainment, and news. By comparing options in real-time, Bluff delivers optimal choices tailored to user preferences.
Why behavioral orchestration matters for the future of AI
We believe robust AI systems benefit from understanding human workflows, decisions, and intent across both enterprise and consumer environments. AIOS captures professional behavior patterns—how people work, collaborate, and prioritize. Bluff captures personal decision patterns—preferences, intent, and tradeoffs. Together, they create a comprehensive view of human behavior in digital contexts.
Our platforms operate in complex, real-world environments: enterprise workflows with competing priorities, consumer decisions with multiple tradeoffs. This generates authentic behavioral data—millions of decisions, preferences, priorities, and outcomes across diverse contexts—that enables AI systems to learn context-aware reasoning.
We envision orchestration as foundational infrastructure for more general AI systems. Before AI can operate independently across domains, it must learn to understand systems, coordinate actions, and optimize outcomes with human-like context and nuance. Our platforms are building that orchestration intelligence—advancing toward AI systems that can reason, plan, and adapt across increasingly general contexts.