Building GeniOS - Intelligence for AI Agents

Rohit Swerashi • Peerlist

<h3>Introduction</h3>GeniOS is the Intelligence Layer for AI Agents.While AI agents can remember conversations and use tools, they still lack the ability to understand what truly matters, what to do next, and why. GeniOS transforms disconnected context into actionable intelligence, enabling AI agents to think, prioritize, and execute like experienced teammates instead of simply responding to prompts.<h3>Why GeniOS</h3><ul><li>AI agents have memory, but they don't have intelligence.</li><li>Context is scattered across Gmail, Slack, Notion, CRM, Drive, Calendars, GitHub, and dozens of other tools.</li><li>Existing memory systems store information but cannot determine what is important.</li><li>Agents waste tokens retrieving irrelevant context.</li><li>Humans still need to manually explain priorities, business rules, and decision making.</li><li>GeniOS gives AI agents understanding instead of just memory.</li></ul><h3>How GeniOS Works</h3><ul><li>Connects with your existing tools and knowledge sources.</li><li>Continuously builds a living intelligence graph of your company.</li><li>Understands relationships between people, projects, customers, goals, and workflows.</li><li>Retrieves only the most relevant context for every task.</li><li>Prioritizes, reasons, and recommends the next best action before execution.</li><li>Works with any LLM, AI agent, MCP server, or enterprise workflow.</li></ul><h3>What GeniOS Does</h3><ul><li>Gives AI agents real business understanding.</li><li>Finds the right context instead of more context.</li><li>Reduces unnecessary token usage by retrieving only what matters.</li><li>Powers Executive Assistants, Sales Agents, Admin Agents, Customer Success Agents, Recruiting Agents, and custom AI employees.</li><li>Connects across Gmail, Google Drive, Calendar, Notion, GitHub, HubSpot, Slack, Jira, Linear, Figma, Airtable, Dropbox, and more.</li><li>Enables Reactive Intelligence, Proactive Intelligence, and Predictive Intelligence for AI agents.</li><li>Turns your company's knowledge into a continuously evolving intelligence layer.</li></ul><h3>Call to Action</h3>If you're building the next generation of AI agents, copilots, or autonomous AI employees, stop giving them more memory.Give them intelligence.Join the early access program and build AI agents that don't just remember. They understand.Book a Call: <a target="_blank" rel="noopener noreferrer nofollow ugc" class="break-all link-break text-gray-500 hover:underline" href="https://cal.com/rohitswerashi/genios-partners">https://cal.com/rohitswerashi/genios-partners</a>

GeniOS Intelligence

<h3><a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://www.thegenios.com/">GeniOS Context Brain</a> (Early Launch)</h3>(1) WHY <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://www.thegenios.com/">GENIOS</a>Memory is becoming a commodity. Chunking + Embeddings + Vector DB = Memory And still, your AI agents struggle.The real problem is not memory. That's why your agents keep hitting the same invisible wall where you end up babysitting them and handling things manually.Most teams I talk to face the same issue. Agents can remember everything, but understand nothing about context.Example: Why is this deal stuck?Memory: Last email was 14 days ago <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://www.thegenios.com/">GeniOS</a>: You're talking to the wrong person. Priya is the formal contact, but Vikram is the actual decision-maker. You never contacted Vikram.That's not a memory problem. That's a context intelligence problem.Context = Memory + Preferences + Scenarios Context Intelligence = Insights derived from that contextContext Intelligence surfaces what you don't even realize is there: (1) What happened and what could have happened (2) How things can be done better for better results (3) Why something failed and what to do next timeI've built multiple AI systems: <ul><li>Admin AI Employee, </li><li>Multi-Agent Orchestrator, </li><li>Admin Agents, </li><li>Sales Agent, </li><li>Executive Assistant (OpenClaw). </li></ul>But the problem remained the same. I was still doing the intelligence work. That's not automation.That's why I'm building <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://www.thegenios.com/">GeniOS</a>.<a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://www.thegenios.com/">GeniOS - The Context Brain</a> It delivers intelligence from your context, removes you from the loop, and creates real automation.(2) HOW <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://www.thegenios.com/">GENIOS</a>Simple. Your agents call <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://www.thegenios.com/">GeniOS</a> before acting. That's it.You connect your tools. Gmail, Slack, CRM, Calendar, whatever your team runs on. <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://www.thegenios.com/">GeniOS</a> reads the signals, builds your organizational context, and exposes it through a simple API.The flow: (1) Agent receives a task (2) Agent calls GeniOS API (3) GeniOS retrieves context behind the task (4) Context Intelligence surfaces what matters (5) Agent executes with full organizational understandingThe difference is what comes back from that API call.Memory returns: "Last email was 14 days ago." <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://www.thegenios.com/">GeniOS</a> returns: "Wrong person. Vikram is the decision-maker. You've never contacted him. Three similar deals stalled here. Here's what worked last time."That is not retrieval. That is Context Intelligence.It tells your agent not just what happened, but what it means and what to do next.50+ AI builders validated this gap. 5 startups across Shark Tank, Harvard, and Antler ecosystems are already building on it. Founding customers paid before the product was ready.(3) WHAT <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://www.thegenios.com/">GENIOS</a><a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://www.thegenios.com/">GeniOS</a> is not a memory layer. Not a vector database. Not a RAG pipeline.You can store context in Notion. You can build a retrieval layer with LangChain. But neither knows who in your org can approve what, why a similar decision failed last quarter, or which agent is about to conflict with another. That is not a tooling problem. That is a structural gap.<a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://www.thegenios.com/">GeniOS</a> is the shared Context Intelligence layer that every AI agent queries before acting.Memory remembers. Context retrieves. <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://www.thegenios.com/">GeniOS</a> understands.What that means in practice: (1) Every agent sees the same organizational reality. No conflicting actions. No duplicated work. (2) Agents verify approvals, authority, and constraints before executing. Real rules, enforced automatically. (3) Every decision and outcome feeds back into the system. The longer <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://www.thegenios.com/">GeniOS</a> runs, the smarter it gets about how your organization actually works.Your agents stop guessing. They stop asking you. They act.<a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://www.thegenios.com/">GeniOS - The Context Brain</a> One API call. Full organizational context. Real automation.Get Invited for Private Access: <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://tally.so/r/xX2jj9">Early Users | GeniOS </a>

GeniOS

<h3><a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://rohitswerashi.com/">Rohit Swerashi</a> AI Entrepreneur | Founder - <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="www.thegenios.com">GeniOS</a></h3>I am the Founder and CEO of GeniOS, an India-based deep tech startup building the Context Brain for AI Agents. GeniOS is backed by NVIDIA Inception, Microsoft for Startups and incubated at IIITD Innovation and Incubation Center, one of India's top deep tech incubators.(1) What I am launching on Peerlist!I built a portfolio that has never been built before.<a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="http://www.rohitswerashi.com">www.rohitswerashi.com</a> A Bhagavad Gita-themed personal portfolio website where my entire life, journey, startups, failures, values and vision are mapped across 18 chapters of the Gita. Each chapter of the Bhagavad Gita becomes a chapter of my life.<ul><li>Chapter 1: Arjuna Vishada Yoga | The Warrior Arrives</li><li>Chapter 2: Sankhya Yoga | The Weapons</li><li>Chapter 3: Karma Yoga | The Journey </li><li>Chapter 4: Jnana Yoga | The Education </li><li>Chapter 5: Karma Sanyasa Yoga | The Mentorship 10,000 plus students mentored, Top 1% on Topmate, mentees at Cvent, BlackRock and AMD</li><li>Chapter 6: Dhyana Yoga | Discipline First </li><li>Chapter 7: Jnana Vijnana Yoga | <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="www.thegenios.com">GeniOS </a></li><li>Chapter 8: Akshara Brahma Yoga | Core Values </li><li>Chapter 9: Raja Vidya Yoga | The Projects </li><li>Chapter 10: Vibhuti Yoga | The Achievements </li><li>Chapter 11: Vishwarupa Yoga | The Vision </li><li>Chapter 12: Bhakti Yoga | What Motivates </li><li>Chapter 13: Kshetra Yoga | The Body of Work </li><li>Chapter 14: Gunatraya Yoga | The Personality </li><li>Chapter 15: Purushottama Yoga | The Leadership </li><li>Chapter 16: Daivasura Yoga | The Principles </li><li>Chapter 17: Shraddha Yoga | Faith of Others </li><li>Chapter 18: Moksha Sanyasa Yoga | Liberation, Begin</li></ul>The portfolio is not a resume. It is not a case study. It is a living scripture of one founder's journey told through the oldest wisdom framework in human history.Every section has the original Sanskrit verse, the Gita lesson and then the real story from my life mapped to that lesson. Dark cinematic design. Kurukshetra battlefield aesthetic. Sanskrit typography. 18 chapters. Every battle fought. Every lesson earned.This is the most ambitious personal portfolio project built by anyone in 2026.(2) Why I built it this wayBecause my story does not fit a resume. It does not fit a LinkedIn profile. It fits a Gita. 6 years. 4 startups. 3 failures. 10,000 plus students. Stanford. NVIDIA. A PG room in Noida. A house mom earning dignity. A boy from Varanasi is building the context brain for AI agents.That story needed 18 chapters. So I gave it 18.(3) What am I currently building?<a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="www.thegenios.com">GeniOS</a>. The Organisational Context Graph, the core Context Brain for AI agents at enterprise scale. The infrastructure that answers who this agent serves, what the organisation values and what it must never do.(4) What have I built before <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="www.thegenios.com">GeniOS</a>?<ul><li>Homians, a food-tech startup I bootstrapped from a PG room in Noida, has grown to Rs 35 lakh in revenue with zero external funding, creating 100+ jobs and enabling 50+ house moms to earn Rs 15,000 per month. Featured on Shark Tank India Season 2 and national TV show Horses Stable Season 5</li><li>The Moronss, an AI mentor platform that reached 100,000 plus students across India. Shark Tank India Season 4 Finalist. IIT Roorkee Top Exhibitor 2025</li><li>3 other ventures before these, each one a lesson that became the foundation of the next</li></ul>(5) What did I build at <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="www.thegenios.com">GeniOS</a> before the current pivot?<ul><li>A Multi-Agentic Orchestrator that coordinates multiple AI agents through structured execution pipelines using intent classification, task atomization, context retrieval and result aggregation</li><li>Email Agent built on LangGraph and Gemini for summarisation, reply drafting, action extraction and priority classification</li><li>Calendar Agent built on LangGraph and Gemini for scheduling, conflict detection and smart slot recommendations</li><li>Smart ATS Resume Builder that reached 1,500 plus users from IITs and NITs within one month, acknowledged by an IBM Senior AI Engineer.</li></ul>(6) Recognition<ul><li>Shark Tank India Finalist Season 2 and Season 4</li><li>Horses Stable Season 5 National TV</li><li>NVIDIA Inception Program</li><li>Stanford ASES Delegate 2026</li><li>Top 60 Startups Delhi NCR by Delhi Government 2026</li><li>IIM Bangalore WSP5 Selected Twice</li><li>IIITD Innovation and Incubation Center</li></ul>(7) KeywordsRohit Swerashi, GeniOS, Context Brain for AI Agents, Organisational Context Graph, Context Engineering, Agentic AI, AI agent memory system, Multi-Agent Orchestration, LLMOps, AI founder India, AI entrepreneur India, Context intelligence for AI agents, AI infrastructure startup India, Deep tech startup India, Bhagavad Gita portfolio, Top Personal Portfolio