Cisco vs Speechmatics

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.

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.

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.

Speechmatics' automatic speech recognition API transcribes audio into text in 55+ languages in either real-time streaming or batch mode, with speaker diarization, custom dictionary, translation and summarization options.

Generates a short summary of an audio file in the same API call that transcribes it, as paragraphs or bullets. It is a Speech Intelligence feature enabled by adding a config block to a batch Speech to Text job, not a product bought on its own.

Speechmatics' text-to-speech API generates streaming synthetic English speech from text with sub-150ms latency using four named voices (Sarah, Theo, Megan, Jack), aimed at real-time voice agent use.

Translates a transcript into other languages in the same API call that produces it, for files or live audio. It is a feature switched on inside a Speech to Text request rather than a separate product; the docs file it under Speech to Text and return the translations alongside the transcript.

Speechmatics' voice agent offering provides a real-time conversational speech API - including the Flow WebSocket endpoint that chains speech-to-text, an LLM, text-to-speech and function calling - plus a Python Voice SDK for turn detection and speaker management, and integrations with Vapi, LiveKit and Pipecat.

A locally-executing speech-to-text engine for Mac and Windows laptops that runs on about one CPU core plus the device's neural engine or GPU and roughly 800MB of memory, sending no audio over a network and claiming accuracy within 5% of the cloud API.