🎙️ Why has customer experience become AI's ultimate proving ground? Our own Sneha Iyer joined Ravit Jain on Tech Transformed to unpack it — from AI Agents now resolving verifications and refunds in real time, to why disconnected "Frankenstein stacks" make it nearly impossible to prove ROI, to what's coming next for AI-driven CX. A must-listen for any CX or AI leader shaping their strategy. Link in comments👇
Observe.AI
Software Development
Redwood City, California 117,254 followers
AI Agents for customer experience.
About us
Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations. Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work. Built on a CX-native foundation, Observe.AI works with global brands, like DoorDash, Transcarent, Affordable Care, Signify Health, and Verida, to improve customer satisfaction, boost productivity, and deliver consistent, scalable performance across every customer interaction.
- Website
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https://www.observe.ai/
External link for Observe.AI
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- Redwood City, California
- Type
- Privately Held
- Founded
- 2017
- Specialties
- AI Agents, Agentic AI, Conversational Intelligence, Generative AI, Customer Service Automation, Omnichannel Customer Experience, and Enterprise Security and Compliance
Products
Observe.AI
Call Center Software
Observe.AI is the leading AI agent platform for customer experience, enabling enterprises to automate customer interactions end-to-end, guide agents with real-time AI copilots, and surface actionable insights from every interaction.
Locations
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Primary
Get directions
275 Shoreline Dr
Redwood City, California 94065, US
Employees at Observe.AI
Updates
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Measuring what matters makes all the difference. 📊 Here's how Joaquin Dufeu of DoorDash uses Observe.AI to gain visibility into their support operations, and turn that visibility into better outcomes for customers. "Being able to measure everything really allows you to have an increased control over what's happening in your support. It helps you understand new pockets of opportunities that, without that coverage, you just wouldn't drive — which in this case is customer satisfaction." For DoorDash, that means ensuring every interaction translates into consumers who stay on the platform, happy and engaged. See how leading CX teams are turning support data into a competitive advantage through the link below. 👇
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We are excited to announce that we've entered a multi-year Strategic Collaboration Agreement with Amazon Web Services (AWS) to accelerate how enterprises deploy AI Agents for customer experience. Together, we're helping joint customers bring our Agentic CX Platform into production environments that demand real reliability, security, compliance, and scale; unifying AI Agents for Customers, Frontline Teams, and Operations across the full CX lifecycle: 🗣️ Automation Agents resolve customer needs end-to-end across voice and chat 👥 Companion Agents support frontline teams in real time — before, during, and after every interaction ⚙️ Operations AI Agents give leaders visibility into quality, compliance, and performance to drive continuous improvement "AI agents are redefining how customer experience work gets done," said Swapnil Jain, CEO of Observe.AI. "By working with Amazon Web Services (AWS), we are giving enterprises a clear path to deploy AI Agents for CX across the full service operation." Observe.AI is also now available on Amazon Web Services (AWS) Marketplace, making it even easier for AWS customers to discover, purchase, and deploy our Agentic CX Platform using existing AWS commitments. Read the full announcement through the link in our comments👇
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We caught up with DailyPay at CCW Vegas. Here's what three years of partnership looks like. 🤝 Ryan Moore, VP of Customer Operations & BPO Strategy at DailyPay, shared the impact: they've gone from nearly 0% manual evaluations to 100% automated coverage, with QA scores climbing 30 percentage points in just a couple of years. His advice to others considering Observe.AI? "Do your homework. Make sure they understand your business... and be ready for them to take you to new levels." Partnerships like this are why we do what we do. 🙌
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Observe.AI reposted this
What happens when you build AI for one problem, and it turns into a movement? On this special AI edition of Tech Impact™ with host Evan Kirstel, Swapnil Jain, CEO & Co-founder of Observe.AI, joined us to talk about the journey behind one of the more interesting bets in agentic AI today. Founded in 2017, long before "AI" became a buzzword, Observe.AI started with a simple observation from inside real contact centers — and has since evolved into something far bigger. We talked about what makes their approach different, the results customers are seeing, and where Swapnil believes customer experience is headed next. It's a conversation worth your time if you're thinking about where AI and CX intersect. Watch the full segment on YouTube: https://lnkd.in/d7UacdRd or https://techimpact.tv or #CustomerExperience #AIAgents #ArtificialIntelligence #CX #Techimpact #AgenticAI #ContactCenter #VoiceAI #ConversationalAI #Automation #EnterpriseAI #TechInnovation #FutureOfWork #CustomerSuccess #GenerativeAI #DigitalTransformation #AIFounders #SiliconValley
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Healthcare demand doesn't wait for business hours, and neither should support. Simple Online Healthcare was scaling fast, but rising call volumes meant longer hold times, patients dropping out of the queue, and growing pressure on their patient care team, especially during end-of-month surges for weight care medication orders. Their fix: Erica, an Observe.AI AI Agent built to answer routine questions naturally, stay compliant with UK data regulations, and know exactly when to bring in a human. The results speak for themselves: 📞 55% containment rate 📉 0% call abandonment — down from 30% ⏱️ 50% reduction in average handle time Read the full story through the link in our comments to see how they're scaling patient support without scaling headcount 👇
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Observe.AI reposted this
There's a big difference between an AI agent that can handle a quick 30-second exchange and one built to actually work in customer service. Most agentic AI systems today are general-purpose — trained for clean, structured conversations. But real customer interactions aren't clean. People talk over each other, interrupt, and cut in mid-sentence. Handling that requires a system built specifically for customer service, not one repurposed from something broader. Want to know more about it? Swapnil Jain from Observe.AI brings the real-world perspective, in a conversation with host Evan Kirstel Airing: 🗓️ Jul 18 Fox Business Network 12:30pm ET Jul 25 Bloomberg Television 8:30pm ET Aug 8 Fox Business Network 12:30pm ET #AgenticAI #CustomerServiceAI #ConversationalAI #TechImpact #Leadership #Innovation
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19,000 support agents. Millions of customer conversations every month. Nearly 100% automated quality coverage. That's the scale DoorDash and Observe.AI have reached together. DoorDash operates at massive scale, millions of customer conversations every month across consumers, merchants, and Dashers, supported by roughly 19,000 support agents worldwide. Together, we've helped them move from manual sampling to nearly 100% automated quality coverage across every one of those interactions, with hotspot detection that used to take weeks now surfacing in near real time. Read the full story here 👉 https://lnkd.in/gmpVavmV
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Most web architectures assume work finishes within a single request. AI agents are breaking that assumption. When an agent spends several minutes reasoning, calling tools, and coordinating across systems, a failure near the end isn't a failed request, it's lost work. Streaming better progress updates (SSE, WebSockets, longer timeouts) doesn't fix this. It improves how updates are delivered, not whether execution survives a restart or disconnect. Building Agent CoBuilder taught us this the hard way. We moved from request-bound execution to durable execution, where a task creates a persistent workflow that survives worker restarts and infrastructure failures, independent of whether the user stays connected. Read about how we architected it through the link in our comments 👇
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Observe.AI reposted this
🎙️ Coming up on TECH IMPACT™ We're sitting down with Swapnil Jain of Observe.AI — the AI-powered customer experience platform helping contact centers automate interactions, support agents in real time, and turn every conversation into actionable insight. 📞🤖 Catch the episode: 📅 July 18 (Sat) — Fox Business Network (FBN) @ 12:30pm ET 📅 July 25 (Sat) — Bloomberg Television @ 8:30pm ET 📅 Aug 8 (Sat) — Fox Business Network (FBN) @ 12:30pm ET 🔗 TechImpact.tv #TechImpact #ObserveAI #CustomerExperience #AI #ContactCenter #Innovation #FoxBusiness #Bloomberg
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