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Observe.AI

Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel."

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Founded

2017

Location

Redwood City, CA

Funding

$214,020,000.00

Observe.AI: Voice-First Contact Center AI Agents and Conversation Intelligence

Overview

**Observe.AI** is an enterprise-grade, voice-first AI platform for contact centers that automates customer interactions and augments human agents with real-time guidance and post-interaction analytics. The platform builds production-grade **VoiceAI agents** capable of end-to-end workflows, human handoffs, and rigorous governance. It also analyzes 100% of interactions for **QA, coaching, and conversation intelligence**.

  • Website: [observe.ai](https://www.observe.ai/)
  • Category: Contact center AI agents, conversation intelligence, QA automation, AI Copilot
  • Founders: Swapnil Jain, Sharath Keshava Narayana (source: Crunchbase)
  • HQ: Redwood City, California, USA
  • Employees: ~201–500 (433 listed on LinkedIn)
  • 2025 highlights: Launch of **VoiceAI Agents** and AI for Voice of Customer intelligence
  • Key Value Proposition

  • Build and deploy **voice-first AI agents** with predictable outcomes and enterprise controls
  • Boost agent performance with **AI Copilots** for in-call guidance, compliant scripting, and knowledge lookups
  • Drive QA and coaching at scale by analyzing **100% of customer interactions**
  • Deliver measurable outcomes: higher containment/FCR, faster handle times, and revenue lift, backed by named case studies
  • Platform and Products

  • **VoiceAI Agents**
  • Natural, empathetic AI that runs end-to-end workflows and escalates to humans when needed
  • Orchestrates systems across CCaaS, telephony, CRM, and data tools
  • Learn more: [homepage](https://www.observe.ai/), [VoiceAI event/demo](https://www.observe.ai/voiceai-agent-demo), [agent orchestration](https://www.observe.ai/blog/why-agent-orchestration-is-the-missing-piece-for-production-grade-voice-ai), [positioning](https://www.observe.ai/blog/your-new-ai-agents-not-just-rule-followers-but-proactive-and-empathetic)
  • **AI Copilot and Real-Time Agent Assist**
  • Live prompts, knowledge lookups, compliance guidance, objection handling
  • Resources: [AI Copilots](https://www.observe.ai/ai-copilots), [Real-Time Agent Assist](https://www.observe.ai/real-time/agent-assist)
  • **Conversation Intelligence and QA**
  • Analyze all interactions for insights, automated QA, summaries, and coaching workflows
  • Explore: [Conversational Intelligence](https://www.observe.ai/platform/conversational-intelligence)
  • Technology Highlights

  • **Contact Center LLM (7B–30B parameters)** optimized for summarization and agentic tasks
  • Read more: [press release](https://www.observe.ai/press-releases/contact-center-llm-generative-ai), media coverage in [VentureBeat](https://venturebeat.com/ai/observe-ai-unveils-30-billion-parameter-contact-center-llm-and-a-generative-ai-product-suite) and [SiliconANGLE](https://siliconangle.com/2023/06/20/observe-ai-debuts-large-language-model-optimized-contact-center-tasks/)
  • **AWS case study** on architecture and cost efficiency: [AWS + Observe.AI](https://aws.amazon.com/solutions/case-studies/observe-ai-case-study/)
  • **Research**
  • NAACL 2024 papers on training and evaluating LLMs for contact centers: [research roundup](https://www.observe.ai/blog/3-observe-ai-papers-accepted-at-naacl-2024)
  • Security, Privacy, and Governance

    Observe.AI emphasizes enterprise security, compliance, and privacy by design.

  • Certifications and frameworks: **SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, GDPR, CCPA**
  • Controls: encryption in transit/at rest, access controls, audit logs, documented privacy program
  • Resources: [Security overview](https://www.observe.ai/contact-center-security), [Trust page](https://www.observe.ai/trust), [Trust portal](https://trust.observe.ai/), [GDPR](https://www.observe.ai/gdpr-privacy)
  • Customers and Outcomes

  • Customer hub: [case studies](https://www.observe.ai/customers)
  • Notable stories:
  • **Affordable Care**: revenue lift and higher appointment conversion
  • **Transcarent**: testimonial on results and adoption
  • Reported outcomes: improved containment and first-call resolution for targeted call types, faster handle times, and revenue gains
  • Integrations

  • Out-of-the-box connectors for **CCaaS/telephony, CRM, BI, and data stacks**
  • Integration hub: [Integrations](https://observe.ai/integrations-new)
  • Common ecosystems referenced in the market: Salesforce, Zendesk; peer environments include Five9, NICE, Genesys
  • Who It’s For

  • **Mid-market and enterprise** contact centers in healthcare, financial services, retail, logistics, utilities, travel, and BPOs
  • **Operations, CX, and WFO leaders** seeking AI agents, QA automation, and real-time assist within strict compliance and governance
  • High-Impact Use Cases

  • Voice AI agents for: authentication, routing, scheduling, payments, order status, pharmacy refills, benefits and billing, appointment management
  • Real-time assist for: compliance adherence, objection handling, in-call knowledge retrieval
  • Analytics and QA: automated QA, call summarization, coaching workflows, and conversation insights across 100% of interactions
  • Buying and Pricing

  • **Sales-led** with tailored quotes; no public price list
  • Optional free trials/betas as per terms
  • Get started: [Request a demo](https://www.observe.ai/demo)
  • Terms: [Subscription Services Agreement](https://www.observe.ai/subscription-services-agreement)
  • Market Context and Competitors

  • Commonly compared with: **Level AI, CallMiner, NICE Enlighten, Five9, Balto, Talkdesk, Cogito**
  • Example comparisons: [G2 comparison pages](https://www.g2.com/compare/level-ai-vs-observe-ai)
  • User Sentiment and Reviews

  • Review platforms:
  • [G2 product reviews](https://www.g2.com/products/observe-ai/reviews), [G2 seller listing](https://www.g2.com/sellers/observe-ai), [G2 badges blog](https://www.observe.ai/blog/g2-recognizes-observe-ai-as-a-leader-in-usability-and-implementation)
  • [Capterra profile](https://www.capterra.com/p/197952/Observe-AI/)
  • Community chatter:
  • r/CallCenterWorkers thread referencing emotion detection: [Reddit](https://www.reddit.com/r/CallCenterWorkers/comments/1d550ck/forgetting_to_mute/)
  • Tool comparisons and enterprise positioning: [r/CallCenterAI](https://www.reddit.com/r/CallCenterAI/)
  • Pros (themes)
  • **Accurate transcription** with robust speech analytics and QA insights (G2)
  • **Strong real-time guidance** for adherence and compliance ([Real-Time Agent Assist](https://www.observe.ai/real-time/agent-assist), G2)
  • **Enterprise-grade security posture** with audited certifications
  • **Measurable business outcomes** in named case studies
  • Cons (themes)
  • Interface performance/UX concerns (some G2 reviews)
  • Reporting depth and language coverage gaps (Capterra)
  • Perceived as more **enterprise-heavy** versus lighter tools (Reddit)
  • Setup and change-management effort for QA programs and workflow tuning (comparative reviews)
  • Resource Hub

  • Website and product: [observe.ai](https://www.observe.ai/)
  • VoiceAI agents: [Demo and overview](https://www.observe.ai/voiceai-agent-demo)
  • AI Copilot: [Product page](https://www.observe.ai/ai-copilots)
  • Conversation Intelligence: [Platform](https://www.observe.ai/platform/conversational-intelligence)
  • Real-time Agent Assist: [Capabilities](https://www.observe.ai/real-time/agent-assist)
  • Integrations: [Catalog](https://observe.ai/integrations-new)
  • Security and Trust: [Security](https://www.observe.ai/contact-center-security), [Trust](https://www.observe.ai/trust), [Trust portal](https://trust.observe.ai/), [GDPR](https://www.observe.ai/gdpr-privacy)
  • News and launches: [Newsroom](https://www.observe.ai/news-and-pr)
  • Customer stories: [Case studies hub](https://www.observe.ai/customers)
  • LLM and research: [LLM press](https://www.observe.ai/press-releases/contact-center-llm-generative-ai), [VentureBeat](https://venturebeat.com/ai/observe-ai-unveils-30-billion-parameter-contact-center-llm-and-a-generative-ai-product-suite), [SiliconANGLE](https://siliconangle.com/2023/06/20/observe-ai-debuts-large-language-model-optimized-contact-center-tasks/), [AWS case study](https://aws.amazon.com/solutions/case-studies/observe-ai-case-study/)
  • Reviews: [G2](https://www.g2.com/products/observe-ai/reviews), [Capterra](https://www.capterra.com/p/197952/Observe-AI/)
  • ---

    Tip for buyers: Prioritize pilots around high-volume call types (e.g., authentication, scheduling, payments) to validate containment and compliance gains while exercising governance, red-teaming, and analytics workflows.

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