The latest episode of The Revenue Lounge is Live!🎙️ This week's guest is Jon Russo, CMO & Founder of B2B Fusion. He talks about the evolution of account-based marketing and the challenges companies are currently facing in pipeline generation. Russo emphasizes the need for companies to adapt their strategies to the current market dynamics and the importance of collaboration between sales and marketing teams. Here's a quick overview of the conversation: 🔹 The "Great Ignore" – Why pipeline generation is struggling and how outdated SDR models are making it worse. 🔹 ABM → ABX Shift – Why marketing can’t drive ABX alone and how companies need to rethink their approach. 🔹 Sales & Marketing Data Blind Spots – The missing buying committee problem and how to fix broken attribution. 🔹 AI’s Role in GTM Maturity – From AI-enhanced workflows to fully automated sales agents—where companies are on the AI adoption curve. 🔹 Revenue Strategy in a Cost-Conscious Era – How economic pressure and AI disruption are forcing companies to rethink efficiency. It’s a must-listen for B2B sales, marketing, and RevOps leaders navigating today’s challenges. Tune in now! Link in comments 🔗
Nektar.ai
Software Development
San Francisco, California 22,751 followers
World's First RevOps AI Agent
About us
World's first RevOps AI Agent that: 1. Captures & Unifies customer interaction journey scattered across your frontline teams & GTM tools. 2. Automatically plugs your CRM's existing sales process data gaps at scale. 3. Discovers hidden Revenue Insights across your customer relationships and business conversations. 4. Tracks time spent & resource utilization of GTM teams like presales, solution engineering & customer support & recommends optimization opportunities to drive productivity and opportunity coverage. All this with: - Zero Adoption hassle, - Go live in under a week, - Value is delivered upfront on the day of Go-live itself. AI Pitchfield finalist-2025, an event organized by Salesforce. #1 Product of the Day on Product Hunt; 4.7 rating on G2. Trusted by dozens of Enterprise customers like Alteryx, Mimecast, Docusign, Crunchbase, Signifyd, EDB & more to drive Revenue Efficiency using AI.
- Website
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https://nektar.ai
External link for Nektar.ai
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2020
- Specialties
- Saas, Sales productivity, Sales Engagement, Sales Enablement, AI Sales Assistant, B2B Sales, Sales Best practices, Sales, Salesforce, Sales productivity for G-Suite, Customer Data platform, revenue intelligence, CRM data hygiene, CRM adoption, revenue operations, sales operations, CRM data hygiene, CRM data automation, marketing operations, and salesforce contact management
Products
Nektar
Sales Intelligence Software
Nektar helps you run your Revenue predictably, efficiently & durably by plugging critical customer relationships & process data holes in your CRM. Our solution ingests unstructured data from your Emails, Calendars, Slacks, Zoom calls, Meeting tools, and Call Transcriptions to harvest, transform & update the missing customer relationships & interactions in your CRM & Datawarehouse. This helps businesses: 1. Get unprecedented visibility around Buying group engagement to boost pipeline cover & efficiency. 2. Capture Granular Opportunity insights to better predict wins & win more. 3. Reduce Renewal risks by getting signals around relationship management with the buying committee. 4. Optimize costs by understanding the effort & time spent on deals & accounts.
Locations
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Primary
San Francisco, California, US
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36 Carpenter Street
Singapore, 059915, SG
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Bengaluru, Karnataka, IN
Employees at Nektar.ai
Updates
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Do you know? 📉 Which accounts have decreasing engagement across all communications and need immediate attention today? ⛔ Which stakeholders haven't responded in over 14 days? ⁉️ Where are the mismatches between deal stages and actual conversation topics? ❌ Which opportunities have unaddressed objections hiding in email threads? 🫅 Which deals are missing key decision-maker involvement? ⌛ Which deals are silently slipping away? 🎓 Which accounts are discussing contractual terms without involving legal? 📞 Where are reps missing follow-up commitments made in meetings? ❗ Where are deals stalling despite high activity levels? Something we are helping our customers get answers to at scale.
I have worked closely with over 100+ revenue teams in the last 5 years. And found something interesting during these conversations. While we talked a lot about activity metrics, we did not talk enough about customer intelligence. Most revenue teams, I talk to already have incredible customer data—thousands of emails, countless calls, detailed meeting notes, and massive CRM records. Their challenge isn't collecting more data; it's deciding how to use it: 📉 Which accounts have decreasing engagement across all communications and need immediate attention today? ⛔ Which stakeholders haven't responded in over 14 days? ⁉️ Where are the mismatches between deal stages and actual conversation topics? ❌ Which opportunities have unaddressed objections hiding in email threads? 🫅 Which deals are missing key decision-maker involvement? ⌛ Which deals are silently slipping away? 🎓 Which accounts are discussing contractual terms without involving legal? 📞 Where are reps missing follow-up commitments made in meetings? ❗ Where are deals stalling despite high activity levels? The scale of this challenge is staggering. When you multiply your pipeline (often hundreds of opportunities) by stakeholders, communication threads, competitive scenarios, and timing considerations, you're looking at thousands of decision points every week. AI Agents are the only real solution to this. Even the most sophisticated CRM implementations only capture what reps manually input—and we all know how that goes. While everyone's talking about AI for content generation, coding, and prosumer use cases, I'm convinced in the enterprise world the intelligence from AI Agents for revenue operations will create even more value. The winners in this new era won't just be those with the most data or the most active reps—but those who can transform overwhelming complexity into clear, prioritized actions that move deals forward. #RevOps #AgenticAI #RevenueOperations #CRM #Sales
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Nektar.ai reposted this
Your GTM Teams Are Measuring the Wrong Marketing Metrics. Most marketing teams still report on: 📊 MQLs generated 📊 Leads sourced 📊 Pipeline influenced But here’s the problem: None of those metrics tell you if marketing is actually driving revenue. Marketing’s job isn’t to generate leads. It’s to deliver engaged buyers into active deals. The real question should be: 📌 How many opportunities have marketing-driven engagement? 📌 How many decision-makers did marketing help activate? 📌 What’s the actual lift in pipeline performance from marketing efforts? If your marketing team is still measured by lead volume, it’s time to rethink your GTM strategy. What’s one marketing metric you think is completely useless? #MarketingOps #BuyingGroups #GTM #SalesOps #RevenueOperations
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The #1 reason deals stall? ❌ Sellers don’t always have clear visibility into the right stakeholders 🔍 That’s exactly what a customer of ours uncovered when analyzing lost deals. The top reason? Authority blockers. 🚧 Too many deals were slipping because the team wasn’t engaging the right decision-makers early enough. Without knowing who holds the budget 💰, who drives the decision 🏢, and who influences the process 🔄, sellers were: ❌ Wasting time on the wrong contacts ⚡ Struggling to build momentum 🛑 Watching high-potential deals stall out With smarter role identification, they could finally focus on the right people at the right time—leading to smoother sales cycles and fewer lost opportunities. A lot of the top lost reasons are actually authority-related. Once you identify the right person, you can push the deal across the line. Still running into authority blockers? It might not be your pitch—it might be who you’re pitching to. 🎯 Curious how this could work for your team? Let’s talk. 👇 #RevOps #B2BSales #SalesSuccess
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ServiceNow's $2.85B acquisition of Moveworks confirms what we've been building toward: AI agents are the future of enterprise software. As the dust settles, one thing is clear - companies want AI that DOES, not just suggests. From IT support to revenue operations, intelligent agents are transforming how business gets done. Read our founder's perspective on what this landmark deal means for the future of AI in the enterprise. #AIAgents #RevenueOperations #CRM #Data #AgenticAI
$2.85B for an AI agent company? Yes, That's true. ServiceNow's acquisition of Moveworks just confirmed what's next... The largest acquisition in ServiceNow's history isn't just another tech deal—it's the starting gun for the AI agent arms race. As someone who's been building in this space since 2021, I see three profound implications: First, ❌ Companies are tired of passive AI tools that provide reports & eye-candy dashboards. Rather, ✅ They want to get timely insights & get the task done. ServiceNow isn't paying $2.85B for chatbot technology – they're acquiring a proven capability to autonomously resolve complex workflows 🤖 When a $163B market leader makes their largest acquisition ever for an AI agent company, the message is clear: autonomous, action-taking AI has graduated from "interesting technology" to "strategic imperative." ⭐ The future belongs to AI that DOES, not AI that merely SUGGESTS. 💪 Agentic AI is no longer experimental but mission-critical. This is what excites us as our approach to building intelligent, data-back Revenue AI Agents at Nektar.ai for our customers. Second, The "knowledge fragmentation" problem requires specialized solutions We're witnessing the early stages of enterprise AI consolidation. Klarna's CEO Sebastian recently revealed they eliminated 1,200 SaaS tools (including Salesforce) because fragmented knowledge made AI implementations impossible. 💡 ServiceNow's approach is to consolidate workflows onto their platform. At Nektar, we've taken a fundamentally different approach: our Knowledge Graph architecture integrates and learns from your internal tools and business communications with no user effort. Both approaches recognize the same truth – fragmented knowledge cripples AI potential. Third – and most critically – just like Moveworks brilliantly solved IT support automation, there is a big potential for transformation yet to happen in customer-facing revenue operations. ☠️ When go-to-market teams spend 60%+ of their time on administrative tasks instead of customer relationships, the revenue impact is massive. This is precisely why we built our agents at Nektar to focus on revenue processes – autonomously capturing deal intelligence, maintaining relationship data, and surfacing critical insights from unstructured communications. The market is validating our thesis: agentic AI isn't just about cost reduction – it's about transforming core business processes that directly impact revenue. Companies embracing and implementing these technologies are gaining significant competitive advantages. The companies that adapt fastest will dominate their markets. The question isn't whether to implement agentic AI, but how quickly you can get there. The future isn't just AI-powered. It's AI-operated. #AgenticAI #RevOps #Sales #AI #Data
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Nektar.ai reposted this
Tired of drowning in busy work and still missing your sales targets? 😫 Accurate sales activity tracking in your CRM can be a game-changer! 📈 Here's how it helps: Deal Insights: See which activities are driving deals forward and which are falling flat. 🕵️♀️ Identify patterns and optimize your approach. Prioritize Efforts: Focus on the hottest leads and most engaged prospects. 🔥 Don't waste time on deals going nowhere. Reduce Sales Cycles: Spot bottlenecks and streamline your process. ⏱️ Close deals faster and more efficiently. Improve Forecasting: Get a clearer picture of your pipeline and predict future revenue with more confidence. 🔮 But manual tracking is a pain, right? 😩 That's where Nektar.ai comes in! 🚀 Nektar.ai automatically captures all your sales activities, from emails and meetings to calls and demos. 🤯 No more manual data entry! 🎉 This means: More Selling Time: Less admin work, more time to build relationships and close deals. 🤝 Accurate Data: No more relying on memory or guesswork. Get a complete and reliable view of your sales performance. 📊 Data-Driven Decisions: Make informed choices based on real-time insights. 💡 Ready to work smarter, not harder? 😉 Let Nektar.ai handle the tracking, so you can focus on what you do best: selling! 💪 #Sales #CRM #SalesTech #SalesProductivity #SalesEnablement #NektarAI #Automation #DataDriven #B2BSales #SaaS #RevenueGrowth
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Nektar.ai reposted this
If my CEO wanted to understand risks in upcoming meetings based on stakeholder coverage, here’s exactly how I’d do it: 1️⃣ Extract all upcoming meetings from Salesforce (data added by Nektar.ai) I’d pull a list of every scheduled meeting in the next 14 days and segment them by customer type: ✅ Enterprise ✅ Mid-market ✅ Strategic accounts 2️⃣ Layer in stakeholder attendance data (powered by Nektar.ai) Nektar auto-enriches Salesforce with meeting attendee details, giving me: 🔹 Who’s attending from the customer side? (titles, seniority, personas) 🔹 Who’s attending from our side? (AE, SE, exec sponsor, etc.) 🔹 Which critical stakeholders are missing? 3️⃣ Identify at-risk meetings I’d filter for meetings where: ⚠️ A VP+ executive from the customer is attending, BUT we don’t have an equivalent senior stakeholder from our side These are high-risk moments where we risk: 🚨 Losing control of the narrative 🚨 Failing to align with key decision-makers 🚨 Missing the chance to advance the deal 4️⃣ Flag & prioritize internally With Nektar, I’d: 📢 Surface at-risk meetings to sales & CS leaders in Slack 5️⃣ Set up real-time alerts for future meetings 💡 The result? ✔️ No more one-sided meetings with only ICs present ✔️ Stronger executive alignment → higher deal velocity ✔️ Better stakeholder mapping → fewer surprises late in the deal This is the difference between reacting to risk and preventing it before it happens. How are you ensuring the right people show up to your most important meetings?
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Nektar.ai reposted this
Most Sales Teams Are Sitting on a Goldmine of Hidden Deals. 🚨 Did you know that 35% of lost deals re-enter the buying cycle within 12 months? But most sales teams never follow up. Why? Because their CRM data is outdated. ✔️ They forget about old champions who moved to new companies. ✔️ They don’t track past deals that are now warming up again. ✔️ They treat lost deals as dead instead of future pipeline. Winning teams don’t start from scratch every quarter. They mine past relationships to create new pipeline. If your team is struggling with pipeline, ask: 📌 Which past champions have changed jobs? 📌 Which lost deals are showing new engagement? 📌 Which past buyers are now in-market again? At Nektar.ai, we help teams uncover hidden revenue inside their own CRM. How does your team track past & present customer relationships? #RelationshipIntelligence #Sales #RevenueIntelligence #RevOps #SalesOps
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Welcome aboard, Muhammad Faisal 🐝 Faisal has joined us as a Software Engineer based in India! 🇮🇳 A little about him: ✍️ Favorite quote – "Simplicity is the key to brilliance." – Bruce Lee ♟️ Fun fact about him – He’s equally passionate about chess and UFC—balancing the calmest and most intense sports at the same time! 💻 Favorite productivity hack – Work at peak energy levels, automate repetitive tasks, and take breaks when needed instead of forcing productivity. 🌍 Dream destinations – Switzerland, Bali, and Kashmir—because why settle for just one? We’re so excited to have you on the team, Faisal! Looking forward to all the great things ahead. 🚀 #Hiring #SoftwareEngineer #Tech #NewHire
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Nektar.ai reposted this
The Hard Truth About #CRM Adoption: Reps Don’t See the Value. Every sales leader wants their reps to update CRM consistently. But here’s the reality: Reps hate logging data. Not because they’re lazy. Not because they’re bad at their job. But because CRM doesn’t help them sell better or close more deals. For a rep, every minute spent entering data is a minute not spent talking to customers. So instead of forcing CRM adoption, ask: 📌 Is CRM actually helping reps sell more? 📌 Are we giving reps insights, or just asking them to log activities? 📌 Is our CRM a tool for sellers or just a reporting system for leadership? CRM should work for reps, not the other way around. At Nektar.ai, we capture relevant customer data & insights automatically—so reps can focus on selling, not admin work. How do you make CRM valuable for your reps? #RevOps #CRMHygiene #RevenueIntelligence #SalesOps #Sales