Avinash Raghava 🇮🇳

#Community Building is something that I’ve been doing for the past 18 years. I wasn’t able to gauge it’s true potential initially, but my journey led to a series of invaluable learnings. Happy to share them on this #thread with an inspiration drawn frm @DavidSpinks. Dive in!👇

#43: #AIRadarDaily — @goClueso Every time a company ships a new software update, a hidden operational nightmare begins. We build incredible, intuitive software, but we often force our customers and employees to learn it by reading dense, outdated text manuals or watching poorly recorded tutorials. Why? Because creating high-quality product videos and documentation is a slow, expensive bottleneck. It usually requires specialized video editors, scriptwriters, and voiceover talent spending weeks to produce a simple 3-minute walkthrough. By the time it is finally published, the product UI has already changed. Clueso is building the autonomous content engine to fix this. Founded by Akash Anand, Prajwal Prakash, and Neel Balar — Clueso is an AI-powered platform that acts as an entire video production studio and technical writing team in your browser. When you feed Clueso a raw, fumbling screen share or a rough slide deck, their AI agents take over. The platform autonomously removes the mistakes, rewrites your transcript for maximum clarity, replaces the original audio with a studio-quality AI voiceover (available in 50+ languages), and automatically applies professional zoom-in effects and custom branding. In the exact same motion, it instantly generates a perfectly formatted, step-by-step written article complete with auto-captured GIFs. The market? Customer Success, Product Marketing, and Learning & Development (L&D) teams who need to scale their educational content without linearly scaling their headcount or agency budgets. Akash, Prajwal, and Neel are already powering customer education for fast-growing global teams like Personio, Duda, and Fireflies.ai. They are proving that the future of enterprise training isn't massive outsourced production — it is instantly generated, highly polished AI content. It is incredible to see founders building the generative infrastructure that accelerates global software adoption. Let's celebrate the builders. w/ Jay Ingle & Dikshant Joshi #EnterpriseAI @AIBoomi

#42: #AIRadarDaily — @GreyLabsAI The traditional banking call center is a massive, multi-billion dollar black hole. When a customer calls a bank or an insurance company, they are usually met with frustrating IVR menus and long hold times. For the financial institution, it is an absolute operational nightmare. Thousands of human agents are tasked with handling sensitive, compliance-heavy processes — like debt collection or policy verification — but quality assurance teams can manually audit less than 5% of those conversations. Millions of critical data points on customer intent, churn risk, and cross-sell opportunities simply vanish into thin air. Founded by Aman Goel and Harshita Srivastava, GreyLabs AI is building the autonomous voice operating system for India's financial sector. They have built an Agentic Voice AI platform natively tuned for the extreme demands of the BFSI industry. Their multilingual AI voice agents don't just route calls; they autonomously execute complex, end-to-end workflows like debt collections, insurance renewals, and PIVC (Pre-Issuance Verification Calls) with human-level empathy. The real moat? Sovereign, compliance-grade architecture. In a heavily regulated market, banks cannot simply pipe sensitive customer audio into public LLM APIs. GreyLabs hosts its entire data infrastructure and proprietary speech analytics models locally in India, strictly adhering to RBI, SEBI, and IRDAI regulations while generating predictive business intelligence from 100% of customer interactions. The market? The massive global banking, financial services, and insurance ecosystem that can no longer afford the inefficiency of legacy contact centers. GreyLabs is already processing hundreds of millions of conversations for over 50 enterprise giants like RBL Bank, IDFC FIRST Bank, and SBI Life. They are proving that the future of financial customer engagement isn't a massive offshore call center — it is highly intelligent, hyper-local AI. It is incredible to see founders building solutions for the most complex, high-stakes workflows in the global economy. Let's celebrate the builders. w/ Jay Ingle & Dikshant Joshi

#41: #AIRadarDaily — @FloworksAI B2B outbound sales is fundamentally broken. Organizations hire incredibly smart, expensive human beings as Sales Development Reps (SDRs) and then force them to act like robots. They spend 80% of their day doing mind-numbing data entry — scraping LinkedIn for prospects, copying and pasting email templates, updating CRM fields, and chasing calendar links. By the time they actually get to sell, the momentum is gone. Founded by Sudipta Biswas and Sarthak Shrivastava, Floworks is building fully autonomous AI sales employees. Their flagship product, "Alisha", is a true agentic worker. When given an ideal customer profile, Alisha autonomously hunts through a database of 700 million contacts, researches each prospect across 180+ web sources, and crafts highly technical, personalized outreach. When a prospect replies with a complex objection, Alisha handles it instantly. It coordinates calendar slots and natively updates your CRM without a human ever touching a keyboard. The real technical moat is under the hood. Floworks built their own proprietary function-calling model, "ThorV2". Because it is purpose-built for enterprise workflows, ThorV2 actually outperforms most LLMs in function-calling accuracy, while running at a fraction of the latency and cost. The market? Any B2B revenue team that wants to scale their top-of-funnel pipeline without linearly scaling their headcount. Having already generated over $13 million in sales pipeline for their enterprise customers, Sudipta and Sarthak are proving that the future of go-to-market isn't just "software-assisted" — it is completely autonomous. Let's celebrate the builders. w/ Jay Ingle & Dikshant Joshi #SalesTech #AgenticAI

#40: #AIRadarDaily — @simplaiofficial Every enterprise is experimenting with AI, but almost nobody is running it reliably in production. We see this cycle constantly. An innovation team builds an incredible AI pilot that promises to automate complex workflows. But the moment they try to scale it across the organization, they hit an infrastructure ceiling. Data is siloed, integrations break, and compliance teams immediately block the deployment because they cannot audit or explain the AI's decisions. The pilot simply dies in the sandbox. SimplAI is building the missing operating system to fix this. Founded by Sandeep Dinodiya and Manish Bharti, SimplAI is an agentic AI platform built specifically for mission-critical deployments. SimplAI provides the underlying orchestration, security, and governance layer that highly regulated enterprises require. Their platform allows teams to deploy autonomous AI agents that handle complex, multi-step workflows — like insurance underwriting or financial fraud detection — with 100% explainability. Crucially, their cloud-agnostic architecture means these agents can run entirely within an enterprise's private cloud, on-premise, or sovereign environments, ensuring proprietary data never leaves the building. The market? The massive global enterprise ecosystem — specifically in banking, insurance, and healthcare — that wants the leverage of AI but cannot afford the compliance nightmare of unstructured deployments. It is incredible to see founders building the secure infrastructure that will power the next generation of enterprise automation. Let's celebrate the builders. w/ Jay Ingle & Dikshant Joshi #EnterpriseAI #AgenticAI

I’m still trying to process what just happened over the last 2.5 days at @AIBoomi Annual ’26. Every year, this community surprises me. This year, even more so. Over a thousand founders, operators, and investors in one place. Conversations that were honest. Sometimes uncomfortable. Often energizing. The kind that don’t usually happen in public. And behind all of this… A group of volunteers who quietly made it all work. No spotlight or noise. Just ownership, intent, and an incredible amount of care. This is what SaaSBoomi has always been about. A community that shows up for each other. That builds together. That pushes each other to think deeper and aim higher. Over the last few weeks, I found myself thinking a lot about what’s next. We’ve made real progress, yes. But it feels like time to push ourselves again. To go deeper. More bootcamps. More immersive experiences. More small rooms where real conversations happen. And most importantly, to help create more stories of builders from India shaping the future of AI. To every volunteer who made this happen, thank you. To the team that continues to build this with heart, I’m incredibly proud. This has never been a one-person show. And it never will be. As always, we’re just getting started. #AIBoomiAnnual26 #BuildWhatsNext #AI

#39: #AIRadarDaily — @gushwork B2B buying behavior has radically and permanently changed. When a prospect needs a complex solution today — a contract manufacturer, an industrial distributor, or a strategic service provider — they are no longer starting their journey on Google. They are going to ChatGPT, Claude, Gemini, and Perplexity. They are asking highly technical, use-case-specific questions to research vendors before they ever fill out a contact form. The problem? Most businesses are completely invisible in these new AI-powered buying journeys. If your brand isn't being cited and recommended by the AI models, you don't exist in the conversation. Gushwork is building the sovereign intelligence layer to turn the lights on. Founded by Nayrhit Bhattacharya and Adithya Venkatesh, Gushwork is an agentic AI platform that deploys an autonomous "agent swarm" to act as a tireless, globally distributed marketing workforce. Gushwork’s deep learning models act as specialized data strategists. They autonomously conduct primary domain research, identify technically specific topics that high-intent buyers care about, and create the kind of proprietary, deeply technical content that AI assistants need to reference and cite. Within 60 days, their agents can automatically publish 100+ landing pages and content assets optimized for both human visitors and AI crawlers, transforming how brands are discovered. The market? High-value B2B service providers and manufacturers who need a scalable, outcome-driven system to dominate the AI search era without the massive overhead of traditional teams. Nayrhit and Adithya are proving that true deep-tech inbound lead generation can be architected from Bengaluru and Delaware for the global market. Let's celebrate the builders. w/ Jay Ingle & Dikshant Joshi #AgenticAI #EnterpriseAI @AIBoomi

In 24 hours, 1,000+ #AI + #SaaS founders and leaders will walk into a ballroom in Chennai. That number excludes sponsors and crew. It includes founders across attendees, speakers, and volunteers. On paper, it’s just another conference. But when you look closely at who’s showing up, something has clearly shifted. We have 600+ startups in the room. Almost half of them started after 2023. That’s the first signal. These founders didn’t pivot to AI. They started there. No legacy playbooks to unlearn. No “how do we retrofit this?” Just a clean slate shaped by what AI makes possible today. And yet, the biggest problem in the room isn’t technology. It’s GTM. That’s where the friction is. When the product frontier resets, distribution is what breaks first. There’s another pattern. India and the US aren’t two separate markets anymore. They’re one motion. Founders are building for both from day one, not as expansion, but as default. Most of the room is also at the hardest stage. Not idea. Not scale. That messy middle where something works, nothing is repeatable, and every decision feels high-stakes. The teams reflect this shift too. Small. Often under 10. Mostly under 50. AI is quietly rewriting what a “company” looks like. Leaner, faster, but no less ambitious. So if you’re coming to Annual, focus on what actually compounds. A clearer GTM path. A more honest view of what’s working. And a few people who will matter over the next few years. That’s usually the real outcome. Behind all of this are 70+ volunteers, months of work, and a lot of care in who speaks and why. Nothing here is accidental. Never was. Never will be. Lights on. See you in the room. :) @AIBoomi #Annual

#37: #AIRadarDaily — @sifthubhq Most of the times sales teams are drowning in a sea of scattered information. Today, account executives and presales engineers spend barely 30% of their time actually selling. The rest of their day is spent frantically digging through Slack, Google Drive, CRM records, and endless Confluence pages just to answer complex technical questions or fill out massive RFPs and security questionnaires. You cannot expect a sales rep to memorize every single product update. But saying "I'll get back to you" kills momentum and loses deals. SiftHub is building the ultimate AI Sales Engineer to fix this. Founded by @ManishaRaisingh (ex-co-founder of LogiNext), SiftHub is an AI-native platform built specifically for revenue teams. SiftHub plugs directly into all your existing tools. When a complex prospect question comes in, its AI agents instantly sift through the entire company's knowledge base, understand the specific context of the deal, and auto-generate highly accurate, technically sound responses — whether that is filling out 90% of a security questionnaire in minutes or instantly drafting a customized competitor battlecard. The market? Every B2B SaaS company that wants its sales team to stop doing manual data entry and get back to closing revenue. Manisha is bringing deep product-centric engineering to a massive go-to-market bottleneck. It is incredible to see a proven Indian founder building the next generation of AI-native sales infrastructure for the world. Let's celebrate the builders. w/ Jay Ingle & Dikshant Joshi #SalesTech #EnterpriseAI #AIBoomiAnnual26

#36: #AIRadarDaily — @lyzr__ai Every enterprise wants an "AI workforce", but the reality of deploying one is an absolute nightmare for compliance teams. Banks, insurance companies, and healthcare providers cannot simply pipe their proprietary, highly regulated data into a public LLM API. They are stuck making a terrible choice: use consumer-grade cloud AI and risk a massive data leak, or spend millions trying to build an agentic framework from scratch using fragmented open-source tools. Lyzr AI is building the "Third Way" for enterprise AI. Founded by Siva Surendira and Anirudh Narayan, Lyzr is a full-stack agent infrastructure platform that lets enterprises build, deploy, and govern autonomous AI agents entirely within their own private cloud (VPC) or on-premise environments. Lyzr provides the low-code studio, the orchestration layer, and the built-in guardrails (like Hallucination Managers and native access controls) required to deploy agents that can actually execute complex workflows — from underwriting insurance policies to auditing compliance — without ever letting the data leave the building. The founders don't just sell the vision; they operate on it. During their Series A raise, they built "Agent Sam”, an AI agent that handled the grueling investor Q&A and initial due diligence, effectively cutting their fundraising cycle from a month down to just two weeks. Let's celebrate the builders. w/ Jay Ingle & Dikshant Joshi #EnterpriseAI #AIBoomiAnnual26

#35: #AIRadarDaily — @gobblecube Quick commerce has completely broken how consumer brands operate. In the traditional e-commerce world, a brand tracks sales at a city or regional level. But on platforms like Blinkit, Zepto, or Instamart, the battle isn't fought city by city. It is fought dark-store by dark-store. A brand might be throwing millions of dollars at advertising on a quick commerce app, only to realize their core product is out of stock in 40% of the micro-markets they are targeting. It is a massive, multi-million dollar data blind spot. GobbleCube is clearing the hyperlocal fog. Founded by Manas Gupta, Srikumar Nair, and Nitesh Jindal — who previously served on the core leadership team at Blinkit and intimately understand quick-commerce data infrastructure — GobbleCube is an AI-powered GrowthOS for CPG brands. They lived inside the beast, and now they are building the tools to tame it. This isn't just another dashboard filled with vanity metrics. GobbleCube's AI engine processes billions of locality-level data points to spot exactly where revenue is leaking. It tracks keyword-level share of search, pinpoints exactly which dark store is running low on inventory, and automatically adapts retail media ad spend in real-time based on stock availability and competitor moves. The market? Every consumer brand trying to survive and scale in the instant-delivery revolution. They are proving that as commerce goes hyper-local, the SaaS running it must be hyper-intelligent. Let's celebrate the builders. w/ Jay Ingle & Dikshant Joshi #RetailTech #VerticalAI #AIBoomiAnnual26

#34: #AIRadarDaily — @finsterai Generic AI models are incredible reasoning engines, but they are not the best at finance. If you ask a standard chatbot to summarize a 10-K, it will give you a neat paragraph. But in investment banking and asset management, analysts aren't looking for neat paragraphs. They are testing complex assumptions, reconciling conflicting premium data sources, and building investment memos that must withstand the absolute scrutiny of regulators and investment committees. Generic AI delivers speed. It does not deliver trust. Finster AI is building the intelligence layer that the financial sector can actually rely on. Founded by Siddhant Jayakumar — who spent seven years building large language models as an AI researcher at Google DeepMind — Finster is an AI-native platform built specifically for financial professionals. Finster's core breakthroughs are provenance and personalization. Instead of treating every query the same, Finster learns how an individual analyst works. One user might need exhaustive downside risk scenarios with deep citations, while another needs a tight, client-ready narrative. Finster adapts to these workflows, securely fusing public filings with a firm's internal historical analyses and proprietary deal logic. Most importantly, every single number it generates is instantly auditable and hallucination-free. The market? The massive global asset management and investment banking industry that wants the leverage of AI but cannot afford the compliance nightmare of generic models. Siddhant and his team are proving that true enterprise AI isn't just about building a bigger model; it is about building a domain-specific brain. Let's celebrate the builders. w/ Jay Ingle & Dikshant Joshi #FinTech #EnterpriseAI #AIBoomiAnnual26

#33: #AIRadarDaily — @WokeloAI If you have ever worked in private equity, venture capital, or management consulting, you know the soul-crushing reality of "due diligence". Analysts spend weeks locked in data rooms — scraping thousands of pages of financial filings, reading call transcripts, and hunting for market signals just to build a single 50-slides deck. It is expensive, slow, and burns out top talent on basic data entry instead of actual strategic thinking. Wokelo AI is automating the grunt work of dealmaking. Founded by Siddhant Masson and Saswat Nanda, Wokelo is an agentic AI platform built specifically for high-stakes investment research. Wokelo has built domain-tuned AI agents that think like dealmakers. When a new deal hits a CRM, Wokelo's agents autonomously crawl through 20M+ companies, process premium data subscriptions, analyze SEC filings, and generate a fully-cited, comprehensive diligence memo in under 30 minutes. The market? Every PE firm, investment bank, and corporate strategy team that realizes they are paying Ivy League grads to do the work of a machine. Siddhant and Saswat are proving that the future of finance isn't just faster search — it is autonomous execution. It is incredible to see founders with deep domain expertise building the specialized infrastructure that will power global capital markets. Let's celebrate the builders. w/ Jay Ingle & Dikshant Joshi #FinTech #EnterpriseAI #AIBoomiAnnual26

“We were so close to the finish line and boom ‘SaaS is dead’. We are restarting…. There is one more round to run.” That’s an honest admission from @avinashraghava, the founding volunteer and CEO of the pay-it-forward community @saasboomi. 🧵⤵️

#32: #AIRadarDaily — #QodexAI APIs are the nervous system of modern software. But while we can build them faster than ever, testing and securing them is still an incredibly manual process. Engineering and QA teams spend countless hours writing fragile test scripts, updating documentation, and hunting for security vulnerabilities. And the moment a single endpoint changes? The tests break, and the cycle starts all over again. QodexAI is killing the manual test script. Founded by Siddhant Mohan and Shreya Srivastava, Qodex is building an autonomous AI agent specifically for API testing and security. Instead of writing complex automation frameworks from scratch, developers simply describe what they want to test in plain English. Qodex's AI starts directly from the code, discovers every single endpoint (including the shadow or dead-but-callable routes your gateway might miss), and instantly generates end-to-end functional, regression, and security test cases. The real magic? The tests are self-healing. When your API evolves, Qodex analyzes the root cause of any failure and updates the testing parameters automatically. The maintenance burden simply disappears. The market? Every engineering and security team that wants to ship mission-critical software faster without compromising on quality or compliance. It is incredible to see founders building the critical picks and shovels that allow the entire software ecosystem to move faster and build more reliably. Let's celebrate the builders. w/ Jay Ingle & Dikshant Joshi #DevTools #AIInfrastructure #AIBoomiAnnual26

Shipping AI agents from 10,000 feet in the Himalayas. The tools don't care. But I've hit the ceiling no model can solve, building without the people who've lived it. Coming down from the mountains for AIBoomi Annual, Chennai, March 18-20. Are you going?

#31: #AIRadarDaily — @maximor_ai Companies pour millions into enterprise ERP systems, expecting a complete digital transformation. Yet, at the end of every month, finance teams are still trapped in a mess of manual processes. They spend nights and weekends pulling data from fragmented systems, reconciling accounts, parsing contracts, and fighting fires in massive spreadsheets. ERP migrations promised to fix this, but they usually just move the bottleneck. Finance leaders don't want another disruptive software migration; they want the busywork to disappear. Maximor AI is building the always-on finance team to handle the grind. Founded by Ramnandan Krishnamurthy and Ajay Krishna Amudan, Maximor is an AI-native finance automation platform built for the strategic CFO. The brilliance of Maximor is that it doesn't force companies to rip and replace their existing tech stack. Instead, their proprietary "Audit-Ready Agents" plug directly into the tools a company already uses — ERPs, CRMs, payroll, and banking systems. These specialized AI agents act as a tireless back-office team. They handle the heavy lifting: reconciling global cash positions, preparing journal entries, allocating revenue across complex contracts, and running flux analysis. Crucially, they don't just output raw numbers; they generate fully traceable, audit-ready evidence by default. The human finance team simply reviews the exceptions. The market? Any mid-market or enterprise company struggling with the realities of the accounting industry: a shrinking CPA pipeline, exploding financial complexity, and multi-entity operations. Ramnandan and Ajay spent years leading global digital transformation projects at Microsoft. They saw firsthand how critical workflows were constantly forced back into manual spreadsheets despite massive IT budgets. They realized that finance doesn't need another generic SaaS tool; it needs an intelligent action layer that does the work for you. They are building the infrastructure that lets finance leaders stop firefighting and start actually guiding the business. Let's celebrate the builders. w/ Jay Ingle & Dikshant Joshi #FinanceAutomation #AIBoomiAnnual26

#30: #AIRadarDaily — #InsightAi We are fighting financial crime by looking in the rearview mirror. Today, most Anti-Money Laundering (AML) and fraud detection systems are strictly reactive. A transaction happens, money is lost, a static rule is triggered, and a compliance officer gets an alert. This creates a massive operational bottleneck where investigators are drowning in false positives — spending hours reviewing benign transactions while real, coordinated fraud slips through the cracks. InsightAI is shifting the lens from what happened to how it happened. Founded by Akash Chandra and Vivek Kumar, InsightAI is an AI-native financial intelligence platform built specifically for regulated banks, payment platforms, and fintechs. This isn't just another legacy rule engine. InsightAI combines behavioral intelligence, device fingerprinting, document forensics, and graph-based analytics to detect risk before the financial loss occurs. It maps out velocity, network signals, and complex entity relationships in milliseconds. The results speak for themselves: their systems are designed to reduce false positives by over 50% and cut Level 2 manual investigation effort by up to 70%. Instead of scrolling through thousands of dead-end alerts, compliance teams get automated case summarization, entity linking, and contextualized risk scoring. The market? The global financial system that handles trillions of dollars daily and can no longer afford the blind spots (and massive operational costs) of outdated compliance software. Akash and Vivek are proving that true deep-tech risk analytics can be architected right out of New Delhi to secure global financial rails. We are incredibly excited to see them redefine enterprise compliance. Let's celebrate the builders. w/ Jay Ingle & Dikshant Joshi #FinTech #DeepTech #AIBoomiAnnual26

@LokeshKannappan @AIBoomi @theaibrains Sure Lokesh. Please send me nominations at avinash(at)aiboomi.org

@avinashraghava @AIBoomi Hi @avinashraghava , great initiative. I run @theaibrains , a local AI community in Chennai for founders building in the AI space. Wanted to check if we can get some passes too. I can nominate some serious builders with products. Thanks [Sending an email]

We're giving away 20 free passes to @AIBoomi Annual '26 🙌 Not to seasoned founders. Not to people with big networks. To young builders under 21 who are actually building with AI. We have 20 passes for AIBoomi Annual in Chennai on March 19–20 — and we want to give them to the right people. If you're under 21, have a working AI prototype, and can make it to Chennai — apply. Two days alongside founders and investors who are actively building and backing AI companies. The conversations and connections at this stage can genuinely change the direction of what you're building. We've seen it happen. We're betting on young India's AI potential. Simple as that. Who should apply: - Under 21 - Building an AI product — with something real to show for it - Can be in Chennai on March 19–20 (Travel and stay aren't covered — works best if you're in or near Chennai) Applications close soon — don't wait. Apply → tally.so/r/Gx1pDQ Tag someone who should see this 👇