🧠 Building Laryaa a... • 2m
What if AI had to work on legacy systems, with no APIs, no data egress, and weak hardware? In many real-world enterprise environments, especially across emerging markets, AI systems face constraints that most modern agents are not designed for. There are no APIs. Sensitive data cannot leave the device. Applications are legacy Windows software. Hardware is often low-spec. Systems are shared and tightly regulated. Under these conditions, most AI agents fail — either technically or from a security and compliance standpoint. The core insight I arrived at was that planning, perception, and execution must be separated, both technically and trust-wise. Planning does not require raw data. Perception does not require cloud intelligence. Execution must remain local and deterministic. This led to a split-state architecture, where on-device vision interprets screen state, a local sanitization layer abstracts sensitive information, and only high-level intent is used for planning. All execution — and all sensitive data — remains on the device. The cloud never sees raw screens, identities, or records. To validate this, I built an early prototype system, now called Laryaa aOS. It is an execution platform designed to let AI agents operate inside legacy and regulated environments without APIs or data egress. The architecture was novel enough that a provisional patent was filed around the core execution and sanitization model. This is not an RPA tool, a vertical SaaS product, or a copilot. It is an execution layer for autonomous agents, with the hospital workflow serving only as one proof point. --- Laryaa has recently evolved into Laryaa aOS — not a single product, but a platform. Laryaa aOS is still early. We’re building, learning fast, and validating through conversations. At this stage, I’m: Exploring conversations with a co-founder (tech / product / GTM) Open to early investment discussions (pre-seed) For more details on the architecture, visit https://laryaa.com — Raju Founder, Laryaa aOS hello@laryaa.com

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In the rapidly evolving digital landscape, APIs (Application Programming Interfaces) serve as essential connectors among software applications, enabling seamless communication between systems. However, their accessibility also makes them prime target
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WHAT ARE AI AGENTS ? AI agents are software programs that use artificial intelligence to interact with their environment, collect data, and perform tasks. They can be programmed to achieve specific goals, and they can learn from their experiences.
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🧠 Building Laryaa a... • 2m
Why AI Automation Breaks in Regulated Environments? Most AI automation tools are designed for cloud-first, API-rich systems. But large parts of the real world don’t operate that way. This insight came directly from trying to deploy AI co-pilots i
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👋 Hello Startups! IT Engineer Seeking Exciting Opportunities in India 🚀 Hey everyone! I’m Anup Thatal, a software & data engineer with over 3 years of hands-on experience building scalable web apps, APIs, and digital infrastructure — especially in
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