𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐎𝐥𝐢𝐯, 𝐭𝐡𝐞 𝐰𝐨𝐫𝐥𝐝’𝐬 𝐟𝐢𝐫𝐬𝐭 𝐀𝐈 𝐜𝐨𝐩𝐢𝐥𝐨𝐭 𝐟𝐨𝐫 𝐬𝐚𝐥𝐞𝐬 𝐦𝐚𝐧𝐚𝐠𝐞𝐫𝐬! 🚀 It's time to stop relying on incomplete CRM entries and hours of recorded meetings. Finally! Oliv is designed to give you (truly) useful insights that help you take actions to move deals forward. 𝐖𝐢𝐭𝐡 𝐎𝐥𝐢𝐯, 𝐲𝐨𝐮 𝐠𝐞𝐭: 📊 Comprehensive pipeline visibility 📅 Daily and weekly deal insights 🤖 Automation of sales process 👩🏫 Tailored coaching for reps ✨ Ring in this new era in sales management that prioritizes selling, streamlined operations and meaningful mentorship. 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐭𝐫𝐲 𝐢𝐭 𝐨𝐮𝐭? 𝐘𝐨𝐮 𝐜𝐚𝐧 𝐝𝐨 𝐢𝐭 𝐟𝐨𝐫 𝐟𝐫𝐞𝐞. Find the sign up link in the comments section ⬇️
Oliv AI
Software Development
San Francisco, CA 7,430 followers
Home to AI agents for sales teams to drive deals forward
About us
At Oliv AI, we solve one of the biggest problems for revenue teams: unreliable deal data. Oliv captures Deal Intelligence from every meeting, call, and email—without any rep involvement. The result is a clear, detailed view of every deal, presented in scorecards built on trusted sales methodologies like MEDDICC, BANT, and SPICED. Our AI agents are built for sales teams—sales managers, AEs, and RevOps—handling the work that takes them away from selling. Deal Driver is the first of its kind, an agent built for sales managers to stay on top of deals, track progress, and take action based on real, unbiased insights. With Oliv AI, sales teams can bring back focus on deals, strategy and conversation.
- Website
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https://oliv.ai
External link for Oliv AI
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
- Founded
- 2023
- Specialties
- AI, Sales, Sales Operations, Revenue, GTM, Sales Enablement, and Content Management
Locations
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Primary
San Francisco, CA, US
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Bangalore, IN
Employees at Oliv AI
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Shaurya Kapoor
Ex - Urbancompany, OYO, Unacademy, PW (Physicswallah) || Building startups one step at a time
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Ishan Chhabra
Chief Mad Scientist (& Reluctant CEO) @ Oliv - Building a team of AI Agents for Sales Managers & Reps. Aggressively hiring across all roles! 🍸
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Filip Vrnoga
Head of Talent & Ops @ perfect venue | Global Startup HR & Recruiting | Biz Ops | SHRM-SCP
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Venkata Deepankar Duvvuru
Co-Founder at Oliv AI
Updates
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10 Signs your CRM Is holding your sales team back: 1️⃣ Reps spend more time updating the CRM than actually selling. 2️⃣ Managers chase updates instead of getting real-time insights. 3️⃣ Forecasts feel like guesswork instead of data-driven decisions. 4️⃣ Deals go cold because key signals get missed. 5️⃣ Pipeline meetings are full of “What’s the latest?” instead of clear next steps. 6️⃣ CRM data is unreliable—because manual updates don’t scale. 7️⃣ Reps avoid the CRM because it adds work instead of reducing it. 8️⃣ Leadership and the sales team don’t see the same reality in the pipeline. 9️⃣ Coaching happens after deals are lost instead of when it matters. 🔟 CRM feels like an admin task, not a tool for winning more deals. What high-performing sales teams do instead: ✅ CRM updates happen automatically – No manual data entry. Emails, meetings, and interactions sync on their own. ✅ Live deal visibility – Managers see what’s happening without chasing down updates. ✅ Forecasts based on real-time data – No surprises at the end of the quarter. When CRM works the way it should, sales teams move faster, close more, and forecast with confidence. How’s your CRM working for your team? Tag a sales leader who’s figured it out.
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We’ve been waiting to say this. Because this shift? It’s happening right now. AI isn’t coming for sales jobs. But the reps and teams using AI? They’re already ahead. For years, sales has been a game of skill. The best reps won because they were sharper, faster, and better at reading deals. That hasn’t changed. What has? The best teams now have AI eliminating the work that slows them down—so they can focus on what actually moves the needle. And the gap between those who use AI and those who don’t? It’s only getting wider. Sales leaders keep saying the same thing: "𝙒𝙚 𝙙𝙤𝙣’𝙩 𝙣𝙚𝙚𝙙 𝙖𝙣𝙤𝙩𝙝𝙚𝙧 𝙩𝙤𝙤𝙡. 𝙒𝙚 𝙣𝙚𝙚𝙙 𝙗𝙚𝙩𝙩𝙚𝙧 𝙚𝙭𝙚𝙘𝙪𝙩𝙞𝙤𝙣, 𝙗𝙚𝙩𝙩𝙚𝙧 𝙛𝙤𝙧𝙚𝙘𝙖𝙨𝙩𝙞𝙣𝙜, 𝙖𝙣𝙙 𝙢𝙤𝙧𝙚 𝙩𝙞𝙢𝙚 𝙩𝙤 𝙨𝙚𝙡𝙡." Exactly. The best teams aren’t adding more software—they’re removing roadblocks. 👉🏻 Forecasting is clearer. AI analyzes buyer behavior and pipeline signals, so leaders can act before it’s too late. 👉🏻 Reps spend less time on admin. AI updates deal status, tracks next steps, and flags risks automatically. 👉🏻 Coaching is proactive. AI surfaces weak spots early, so managers can step in before deals slip away. This isn’t about more tools. It’s about working smarter—and winning more. Because this isn’t just another trend. It’s the future of sales. And it’s already happening. The question is: Who’s adapting—and who’s falling behind?
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$600 billion. That’s how much market value got wiped out in a single day when DeepSeek AI dropped. NVIDIA's stock took a hit, and AI sent a clear message: Move fast or get left behind. The same shift is happening in sales. Sales leaders say it all the time: "𝘈𝘐 𝘪𝘴 𝘪𝘯𝘵𝘦𝘳𝘦𝘴𝘵𝘪𝘯𝘨, 𝘣𝘶𝘵 𝘰𝘶𝘳 𝘳𝘦𝘱𝘴 𝘢𝘳𝘦 𝘢𝘭𝘳𝘦𝘢𝘥𝘺 𝘱𝘦𝘳𝘧𝘰𝘳𝘮𝘪𝘯𝘨 𝘸𝘦𝘭𝘭." Alright. But let’s unpack that. If every rep is hitting quota... If every forecast is rock solid... If every deal moves through the pipeline with zero surprises... Then sure, maybe nothing needs to change. But let’s be real—that’s not how most teams operate. The best sales teams aren’t replacing reps with AI. They’re making them unstoppable. AI isn’t here to compete with reps—it’s making them faster, sharper, and more effective. 🔥 Forecasting isn’t guesswork. 🔥 Admin work isn’t eating into selling time. 🔥 Reps get real-time coaching—not after-the-fact feedback. Meanwhile, teams that aren’t adapting? They’re playing yesterday’s game with yesterday’s tools. How the best teams are using AI right now: ⚡ Deal Driver – Tracks every deal, every movement. No bias, no surprises. ⚡ Forecaster – Reads pipeline trends so accurately, it feels like magic. ⚡ Coach – Helps reps adjust their approach in the moment. This isn’t about AI replacing reps. It’s about making sure teams don’t get left behind. So the real question is: Are sales teams leveling up with AI—or falling behind while the competition laps them? Drop a 🔥 if AI is already in your sales playbook. Or if it’s time to start catching up.
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Two people. Two countries. One dog leash. One spent hours jumping between 20 Google tabs before finally checking out on Amazon. The other? A quick WhatsApp chat with Meta’s AI—curated options, direct link, done. So, why are we still Googling “best dog leash” when AI makes it this easy? Meta is quietly transforming its apps into seamless shopping ecosystems. The future of e-commerce isn’t just coming—it’s already here. Ready to shop smarter?
Chief Mad Scientist (& Reluctant CEO) @ Oliv - Building a team of AI Agents for Sales Managers & Reps. Aggressively hiring across all roles! 🍸
Google is dead. Long live the “Meta” verse. (3/n) You won’t believe how differently my friend in Bangalore and I ended up buying the same dog leash. I was FaceTiming him earlier this week, and we somehow landed on the topic of hands-free leashes. He laughed and said. “I literally just bought one, it's amazing.” I blinked. “No way— I bought one too! "Same brand?” “Same exact leash,” he said. Then we compared notes: My Journey (U.S.): 1. Discovery: Scrolling Instagram, saw some influencer hyping this leash. Looked cool. I thought, I need that. 2. Research: Old habit kicked in—I headed to Google, opened 20 tabs, and skimmed a bunch of reviews. 3. Purchase: Finally, I hopped on Amazon, typed in the brand, and hit Buy Now. His Journey (India): 1. Discovery: The exact same Instagram post popped up on his feed. 2. Research: No Google. Instead, he messaged Meta’s AI on WhatsApp for suggestions—boom, instant curated options. 3. Purchase: The AI gave him a direct Amazon link, and he checked out without leaving WhatsApp. He laughed: “Why would I open 20 tabs if the AI can handle it?” That’s when it hit me: Meta is turning its apps into entire shopping ecosystems—from the spark of desire to the final checkout. And honestly, who wants to type “best dog leash” into Google when you can just ask AI for the best one? Next post, I’ll dig into why Google’s territory in “research” might be slipping away—and how Meta is snapping it up.
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