Cisco vs Decagon
Relationship
Webex AI Agent and Decagon do comparable work on customer support and voice agent; both also serve buyers who need to create synthetic voice and audio and handle customer support conversations; smaller scale (private).
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
6 of 17 capabilities — Shares agent orchestration, customer support, data analysis and 3 more.
Ludbee capability tags · from the product recordsShared product type — Both ship AI agent and application.
Ludbee product recordsSmaller scale — Decagon: $4.5B valuation, against Cisco's $433.3B market cap.
Ludbee scale figures · valuation, market cap or revenue estimateAligned comparison
Capability overlap
Shared · 6
Not verified for Decagon · 11
Recorded for Cisco. Decagon’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Cisco · 1
Recorded for Decagon. Cisco’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Cisco
Application
AI assistant for contact-centre agents and supervisors that produces call and transfer summaries, live transcription, suggested chat replies, topic analytics, automatic CSAT scoring and agent burnout signals.
AgenticOps workspace where teams and AI agents collaborate to investigate, correlate and resolve issues across domains: natural-language querying, multi-step agent workflows, shared real-time visibility, and native Cisco plus third-party tool integration via Cloud Control Studio.
End-to-end AI security product that discovers an organisation's AI assets, red-teams models and applications for vulnerabilities, and enforces runtime guardrails against prompt injection and data leakage.
Agentic support intelligence delivered inside Cisco Support and Professional Services — 'the delivery vehicle for everything Cisco Support and Professional Services knows about your environment, made continuously available before you ask for it' — generally available as SaaS since April 2026 and included with existing support contracts.
AI-native workforce engagement suite for contact centres that forecasts demand and optimises shifts, uses NLP and LLMs to evaluate 100 percent of human and AI agent interactions (AI Quality Management), and runs performance coaching and AI-led onboarding simulations.
AI agent
Autonomous customer-service AI agent that handles inquiries conversationally across voice, SMS, email, chat and messaging apps and escalates to a human agent with context when it cannot resolve.
Decagon
Application
A/B-testing suite for AI support agents: structured experiments (tone, logic, flows) against live traffic with control groups, statistical-significance testing and gradual rollout.
Dashboards and natural-language querying ('Ask AI') over support data: CSAT/deflection performance tracking, heatmaps, customer-journey visualization and knowledge-base performance.
Analyzes support conversations to detect gaps in a company's help center and auto-generates draft articles, ranked by impact, with monthly updates.
Integrated testing suite (internally called 'Simulations') that validates AI-agent behavior across channels before production deployment.
Always-on monitoring and QA for AI and human agent interactions against custom quality criteria.
AI agent
Builds and runs customer-support agents that resolve enquiries over chat, email and voice.
Decagon's chat channel — an AI agent that handles live customer conversations in a web or in-app chat surface.
Decagon's email channel — agents that read and answer customer email threads rather than routing them to a queue.
Decagon's voice channel — an AI agent that answers customer phone calls in place of a hold queue.
No counterpart
Cisco sells these in a stack layer with no product recorded for Decagon yet — nothing on the other side to compare them against.
Hardware
Pre-validated modular AI infrastructure bundles that combine Cisco UCS servers, NVIDIA GPUs, Nexus 9000 400G/800G switching and management software into single orderable stacks for AI inferencing, training and fine-tuning.
Turnkey on-premises AI appliance that runs real-time speech transcription for Cisco collaboration deployments locally, for customers with data-sovereignty requirements that rule out cloud AI services.
Cloud-managed full-stack AI cluster sold as hardware plus software plus service, packaging Cisco 6000 and N9300 series switches on an 800GbE back-end fabric, UCS servers with NVIDIA H200 GPUs and BlueField DPUs, optional VAST storage and NVIDIA AI Enterprise under the Hyperfabric cloud controller.
Unified programmable networking-silicon architecture for AI, hyperscale, data-centre, service-provider and enterprise routing/switching, spanning five series (G/P/E/K/A) of chip families.
Decagon sells these in a stack layer with no product recorded for Cisco yet — nothing on the other side to compare them against.
Agent platform
Decagon's authoring layer for the rules an AI support agent follows, so non-engineering teams can build, iterate on and scale agents.
An AI partner built into Decagon that helps teams build and improve support agents — distilling best practices from hundreds of Decagon deployments into guidance for the builder, and auto-tuning the agent via "Duet Autopilot," which improves it with every conversation it handles.