Sierra
UnclaimedSierra is a leading AI-powered platform that helps brands deliver human-centered customer experiences with scalable, secure, multi-channel agents.
Overview
Sierra is a leading AI-powered platform that helps brands design and deliver better, more human customer experiences through scalable, guardrailed agents across channels. By partnering with industry leaders, Sierra enables organizations to deploy, monitor, and continuously improve AI-powered customer experiences at scale, turning everyday interactions into measurable business outcomes. The platform emphasizes trust, safety, and governance, supporting a wide range of industries and customer journeys with memory, context, and analytics to ensure consistency and quality across touchpoints.
Mission statement
Sierra helps businesses build better, more human customer experiences with AI.
One of 40 AI agents in Contact Center · Read recently by OpenAI, Perplexity, Meta, Amazon
What we offer
Ghostwriter
Empower teams to build and optimize AI agents effortlessly without coding.
Pricing not published
sierra.ai/product/ghostwriterAgent Studio
Streamline AI agent development for effortless customer journey management.
Pricing not published
sierra.ai/product/agent-studioHorizon
Drive high-value outcomes by coordinating interactions over extended periods with intelligent, memory-enabled agents.
Pricing not published
sierra.ai/product/horizonContext Engine
Tailor customer interactions using comprehensive context and memory.
Pricing not published
sierra.ai/product/context-engineInsights
Optimize agent performance and transform customer engagement using powerful analytics and insights.
Pricing not published
sierra.ai/product/insightsExplorer
Optimize agent performance by delivering actionable insights and recommendations from customer interactions.
Pricing not published
sierra.ai/product/explorerChannels
Unify your customer interactions across various channels for better experiences.
Pricing not published
sierra.ai/product/channelsTrust and Reliability
Sierra ensures security and compliance for reliable AI interactions, protecting your data and enhancing trust.
Pricing not published
sierra.ai/product/trust-and-reliabilityMarket segments
Market size by segment
Growth potential (CAGR)
Agent lifecycle management
Platform and developer capabilities to design, version, test, and deploy AI agents, including git-native workflows, reusable agent templates, and rapid deployment pipelines.
Products: Agent Studio, Ghostwriter
Omnichannel customer engagement
Platforms that unify voice, chat, email, and messaging with shared context, intelligent routing, and agent interfaces to deliver consistent cross-channel experiences and personalized service.
Products: Channels, Agent Studio, Horizon
Marketing automation and orchestration
Automation and orchestration of outbound, nurture, and sequencing workflows using enrichment and event/signal-triggered outreach to improve engagement timing and scale.
Products: Horizon, Context Engine, Channels
Customer experience analytics and AI
Analytics and AI-driven insights, real-time dashboards, and intelligent routing used to measure, automate, and optimize customer journeys and agent performance.
Products: Insights, Explorer, Ghostwriter
Trust, safety and compliance
Security, governance, privacy, and reliability capabilities including data governance, PII protection, compliance certifications, supervisory models, and secure integrations.
Products: Trust and Reliability, Context Engine, Horizon
More information about our offering
Ghostwriter
Ghostwriter is the agent-building agent that enables customer-experience teams to create and optimize AI agents without code. It accepts prompts to define agent behavior, lets you build from SOPs, transcripts, and audio, and provides full transparency before publishing. It runs automated simulations to test agents, identifies edge cases, and can automatically refine agents after issues, facilitating ongoing improvements by scaling top interactions and applying recommendations to deliver production-ready customer experiences across channels.
Pricing not published
- Streamline Agent DeploymentExperience seamless agent creation and updates that require minimal manual intervention.
- Continuous Agent RefinementAutomatically enhance agent performance by addressing issues without manual input.
- Simplify Agent CustomizationDefine agent specifications intuitively, making changes without technical barriers.
- Enhance Customer InteractionsUtilize high-quality interactions to refine your agents and elevate overall performance.
- Ensure Quality ControlValidate agent functionalities consistently to maintain high-quality customer experiences.
- Build Robust AgentsEnsure agents are well-prepared to handle unexpected customer interactions.
- Leverage Existing ResourcesUtilize your existing documentation to accelerate agent creation and enhancements.
- Maintain Review OversightGain confidence through comprehensive reviews of your agent's setup prior to going live.
Agent Studio
Agent Studio enables customer-experience teams to build and manage AI agents without writing code. It helps design and deploy end-to-end customer journeys, configure knowledge content, run simulations, and enforce brand guidelines across channels. This product empowers teams to create seamless experiences that guide customers effectively throughout their interactions, ensuring a unified brand voice across all agent interactions.
Pricing not published
- Enable Teams To Build AgentsFacilitates the construction of agents by non-technical team members, thereby accelerating deployment and enhancing engagement.
- Optimize End-To-End ExperiencesAllows teams to create seamless experiences that guide customers effectively throughout their interactions.
- Maintain Rich Knowledge BasesEnsures agents have access to accurate and comprehensive information, enhancing the quality of customer interactions.
- Ensure Brand ConsistencyMaintains a unified brand voice and values across all agent interactions, reinforcing brand identity.
- Harden Agents Through TestingEnsures agents are robust and effective by conducting large-scale testing before going live.
- Connect SeamlesslyFacilitates interactions with various systems, enriching the agent's capabilities and improving customer support.
Horizon
Horizon enables long-horizon agents that coordinate outbound and inbound interactions over days or weeks. It orchestrates signals, plans next steps, and sustains work until a desired outcome is delivered, across channels and memory-enabled contexts. This platform ensures tasks are completed efficiently while building stronger relationships through proactive engagement and multichannel coordination.
Pricing not published
- Coordinated Long-Term EngagementHorizon maintains engagement over multiple interactions, ensuring tasks are completed efficiently and building stronger relationships.
- Value-Aligned Pricing ModelClients only pay for successful interactions and outcomes, providing a clear link between investment and results.
- Enhanced Interaction ContinuityBy remembering previous interactions, agents deliver more personalized and relevant responses, fostering better customer experiences.
- Timely Customer InteractionsHorizon proactively reaches out to customers to address their needs before they escalate or become critical.
- Seamless Channel IntegrationCustomers can switch channels without losing context, making interactions feel more cohesive and responsive.
- Respectful Customer InteractionEnsures customers' preferences are always considered, fostering trust and compliance.
Context Engine
Context Engine provides customer context and memory, binding systems of record to reveal full customer history and enabling AI to tailor decisions and actions based on this context across conversations. It enhances interactions through integration of customer history, ensuring continuity and personalization over time.
Pricing not published
- Integrate Comprehensive Customer HistoriesEnhance interactions by connecting various systems to get a complete overview of customer interactions, enabling personalized engagement.
- Optimize Customer Engagement StrategiesLeverage AI algorithms to determine the most effective next step in customer interactions, leading to better outcomes.
- Enable Continuity Across InteractionsThis feature allows agents to recall significant customer data, ensuring each conversation is informed by previous ones, enhancing user experience.
- Engage Customers SeamlesslyIntegrate proactive measures to preemptively address customer needs, enhancing the overall experience and fostering loyalty.
Insights
Insights provides reporting, analytics, and observability to evaluate agent performance, uncover trends, and guide data-driven improvements. This product allows for the monitoring of essential performance indicators and offers automated tagging for real-time insights into customer interactions.
Pricing not published
- Monitor Performance EffectivelyMonitor essential performance indicators like CSAT and case resolution to evaluate agent effectiveness.
- Maximize EngagementExperiment with variations in agent behavior to enhance customer engagement and satisfaction.
- Gain Insights InstantlyGain real-time insights about customer interests through automatic tagging and categorization of conversations.
- Instant Data ExplorationEasily explore and understand trends with just one click by digging deeper into specific data points.
- Enhance TransparencyGain insights into agent actions and decisions to ensure accountability and foster a culture of continuous improvement.
- Address Issues PromptlyProactively manage agent performance by spotting issues that require immediate attention through real-time monitoring.
Explorer
Explorer is the agent-optimizing agent. It provides proactive insights, pattern discovery, and deep-dive analyses of customer conversations, with seamless handoffs to implement improvements. This tool aids teams in uncovering significant patterns and implementing changes effortlessly for better results.
Pricing not published
- Get Answers InstantlyExplorer delivers immediate answers to complex questions using insights from cataloged customer conversations.
- Implement Changes EffortlesslyWith one-click handoff, recommendations from Explorer are automatically sent to Ghostwriter for immediate application.
- Reveal Key InsightsExplorer identifies important patterns and signals in customer interactions that may not be immediately obvious.
- Stay Informed WeeklyReceive regular updates on performance trends and actionable insights to better align your strategies.
- Collaborate EffectivelyExplorer allows team members to share findings and dive deeper into analyses without disrupting core data.
- Conduct In-Depth AnalysisAsk any question in natural language, and Explorer will analyze expansive datasets to present relevant findings.
- Track Performance GainsEvaluate how implemented recommendations have directly improved customer experiences and agent efficiency.
Channels
Channels enables deployment of AI agents across voice, chat, email, and WhatsApp, delivering consistent experiences in multiple languages and touchpoints. The platform offers always-on availability and robust language support, ensuring effective communication across varying customer needs.
Pricing not published
- Ensure Constant AccessibilityEnable customers to reach your services any time of day, enhancing satisfaction and trust.
- Create Consistent Brand PresenceDeliver a seamless brand experience across all communication platforms, increasing engagement.
- Reach Global AudienceCommunicate effectively with a diverse customer base in their preferred languages.
- Enhance Brand IdentityTailor your agent's voice to reflect your brand, creating memorable interactions.
- Engage Customers VisuallyUse multimedia content to enrich conversations and enhance customer understanding.
- Expand Reach EffortlesslyUnify first-party and third-party channels with a single integrated agent, enhancing accessibility.
Trust and Reliability
Trust and reliability cover security, governance, and compliance to protect data, ensure privacy, and maintain high performance. This suite addresses the need for secure integration, performance optimization, and adherence to industry compliance standards.
Pricing not published
- Ensures Policy ComplianceSierra strictly follows your data governance policies, ensuring your data is used only as directed and never shared without consent.
- Protects Customer InformationAll personal identifiable information shared with your agent is automatically encrypted and masked, maintaining customer confidentiality.
- Maintains Compliance StandardsSierra is dedicated to upholding the highest industry compliance standards, ensuring all interactions are secure and reliable.
- Facilitates Secure TransactionsDesigned to uphold the highest security standards, Sierra’s payment infrastructure allows secure and compliant handling of transactions.
- Ensures Secure ConnectionsInteractions with your systems are carefully managed to adhere to your security standards, enhancing overall trust.
- Maintains High AvailabilityEnsures continuous performance of your AI agent by switching LLM providers as needed, maintaining service quality.
- Enhances AI ReliabilitySupervisory models mitigate risks associated with large language models, ensuring AI behaves predictably and safely.
Sources
Methodology and sourcing behind the figures and links shown above.
Agent lifecycle management
Estimate uses explicit AI agents and lifecycle-management market data in the search results. MarketsandMarkets projects the AI Agents market at USD 7.84B (2025) with 46.3% CAGR; application-lifecycle management (traditional ALM) is USD 4.77B (2025), and contract lifecycle management (CLM) shows a 2025 market ~USD 1.32B. Agent lifecycle management (agent-ALM) is a specialized subset of the broader AI agents and ALM markets (platforms, governance, CI/CD, testing, deployment). Assuming agent lifecycle platforms capture roughly 15–20% of the nascent AI Agents TAM in early commercialization, a 2025 market size near USD 1.5B is plausible. Growth potential is aligned with rapid AI-agent adoption (MarketsandMarkets’ 46% CAGR); tooling and governance adoption typically lag pure agent consumption, so a slightly lower but still very high CAGR (~40%) is applied here.
- The AI Agents market is projected to grow from USD 7.84 billion in 2025 to USD 52.62 billion by 2030, registering a CAGR of 46.3%.
- The global application lifecycle management market size was valued at USD 4.77 billion in 2025; CAGR of 10.87% during the forecast period.
- 2025 Market Size $ 1.32 Bn (Contract Lifecycle Management market)
Omnichannel customer engagement
Estimated omnichannel customer engagement market derived as ~29–30% of broader customer engagement solutions market (reports in search results). Using Fortune Business Insights omnichannel share (~29.51% in 2026) applied to reported total market ranges (USD ~21–32B across sources) yields an addressable omnichannel segment around USD 6.4–8.4B; selected midpoint USD 8.0B. CAGR estimated at ~11% based on reported CES CAGRs (10.1%–15.3%) and expected slightly higher growth for omnichannel capabilities due to enterprise cloud/AI adoption and omnichannel imperatives.
- Global market size valued at USD 24.36 billion in 2025; projected USD 26.67 billion in 2026 and USD 57.45 billion by 2034; CAGR 10.10%.
- The omnichannel segment is projected to hold the largest market share of 29.51% in 2026.
- Market Size (2026) USD 28.13 Billion; Growth Rate (2026-2031) 10.28% CAGR.
- Industry Size (2024): USD 21.42 Bn; Forecast (2034): USD 89.74 Bn; CAGR (2024 to 2034): 15.3%.
- Market expected to grow from USD 19.3 billion in 2022 to USD 32.2 billion by 2027; CAGR 10.8%.
Marketing automation and orchestration
Search results for the broader "marketing automation" category report 2024–2026 market sizes in the $6.6B–$11.2B range and forecast multi-year growth CAGRs of ~11.5%–14.2%. I selected a current addressable-market estimate of about $10.0B (midpoint of reported 2024–2026 values) and a representative growth potential of 12.5% CAGR, reflecting the consensus range across MarketsandMarkets, Precedence Research, Mordor Intelligence, and Statista for software and orchestration capabilities.
- USD 9.80 billion in 2025; USD 11.19 billion in 2026; USD 36.97 billion by 2035; CAGR 14.20% (2026-2035)
- Projected to reach USD 81.01 billion by 2030 from USD 47.02 billion in 2025, at a CAGR of 11.5%.
- Market Size (2026) USD 8.16 Billion; Market Size (2031) USD 14.98 Billion; CAGR 12.92% (2026-2031).
- 2024 industry revenue will rise 12.6% to over USD 8 billion; projected to reach USD 21.7 billion by 2032.
Customer experience analytics and AI
Estimate anchored to published AI-in-CX / customer experience analytics reports in the searchResults. The Business Research Company reports $17.75B (2025) for AI in customer experience; other sources show 2024–2026 values from $12.6B to $17.58B and AI-focused forecasts with CAGRs in the mid-20% range (26–27%). I use the $17.75B 2025 figure as the current-size estimate and a 26.0% CAGR consistent with multiple AI-focused forecasts in the results.
- 2024 Market Size $ 12.6 Billion; CAGR (2025 - 2035) 14.52%.
- AI in Customer Experience Market Size is valued at USD 14.78 Bn in 2025; 26.0% CAGR.
- Market size has reached to $17.75 billion in 2025; expected $59.71 billion in 2030 at 27.4% CAGR.
- Global AI market size USD 294.16 billion in 2025; CAGR 26.60% (2026–2034).
- Market Size (2026) USD 17.58 Billion; Growth Rate (2026 - 2031) 18.62% CAGR.
Trust, safety and compliance
Search results provided contained no explicit market-size or CAGR figures for the “Trust, safety and compliance” segment. I therefore estimated by aggregating adjacent sub‑markets that comprise the segment (governance/risk/compliance software, data governance & privacy management, PII protection, identity/secure integrations, and platform trust & safety/content moderation). Rough allocation used: GRC ~10B, data privacy/protection ~8B, IAM/secure integrations ~5B, trust & safety/moderation ~2B — totaling ~25B USD. Growth potential assumed in the low‑teens CAGR (~12%) based on sustained regulatory pressure, expanded privacy laws, cloud/SaaS adoption, and rising demand for content moderation and platform safety (which historically track higher growth than legacy enterprise software). Because the provided searchResults had no explicit market data, no external citations from them could be used to support numeric values.
- Sierra
- Ghostwriter
- Agent Studio
- Horizon
- Context Engine
- Insights
- Explorer
- Channels
- Trust and Reliability
- The AI Agents market is projected to grow from USD 7.84 billion in 2025 to USD 52.62 billion by 2030, registering a CAGR of 46.3%.
- The global application lifecycle management market size was valued at USD 4.77 billion in 2025; CAGR of 10.87% during the forecast period.
- 2025 Market Size $ 1.32 Bn (Contract Lifecycle Management market)
- Global market size valued at USD 24.36 billion in 2025; projected USD 26.67 billion in 2026 and USD 57.45 billion by 2034; CAGR 10.10%.
- Market Size (2026) USD 28.13 Billion; Growth Rate (2026-2031) 10.28% CAGR.
- Industry Size (2024): USD 21.42 Bn; Forecast (2034): USD 89.74 Bn; CAGR (2024 to 2034): 15.3%.
- Market expected to grow from USD 19.3 billion in 2022 to USD 32.2 billion by 2027; CAGR 10.8%.
- USD 9.80 billion in 2025; USD 11.19 billion in 2026; USD 36.97 billion by 2035; CAGR 14.20% (2026-2035)
- Projected to reach USD 81.01 billion by 2030 from USD 47.02 billion in 2025, at a CAGR of 11.5%.
- Market Size (2026) USD 8.16 Billion; Market Size (2031) USD 14.98 Billion; CAGR 12.92% (2026-2031).
- 2024 industry revenue will rise 12.6% to over USD 8 billion; projected to reach USD 21.7 billion by 2032.
- 2024 Market Size $ 12.6 Billion; CAGR (2025 - 2035) 14.52%.
- AI in Customer Experience Market Size is valued at USD 14.78 Bn in 2025; 26.0% CAGR.
- Market size has reached to $17.75 billion in 2025; expected $59.71 billion in 2030 at 27.4% CAGR.
- Global AI market size USD 294.16 billion in 2025; CAGR 26.60% (2026–2034).
- Market Size (2026) USD 17.58 Billion; Growth Rate (2026 - 2031) 18.62% CAGR.
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