NexaVoxa

NexaVoxa is an enterprise-grade AI voice agent platform whose core goal is to enable enterprises to automatically answer and make calls and handle customer service conversations in a scalable way, while maintaining control over the entire call process. It is officially positioned as a tool for building and operating voice assistants that "sound like real people," with an emphasis on forming a closed loop from building and testing to launch and review.

I. Purpose and Positioning NexaVoxa is used to build voice agents that can answer calls, screen callers, schedule appointments, and transfer calls to a real person at the appropriate time. The platform is aimed at teams running thousands of calls per week, rather than a single demo bot, so it emphasizes workspace-style centralized management: keeping assistants, numbers, outbound campaigns, and call records running in one place.

II. Main Capabilities

1. Assistant building: You can name an assistant, write the tasks it should perform, and choose how it runs—using a single prompt, or using a guided flow that can be designed step by step and branched.
2. Knowledge sources and tools: Web pages, documents, and recordings can be attached as the basis for answers; set the tools that can be invoked during a call, as well as the data collected from each caller.
3. Pre-call testing: Before connecting to a phone line, you can talk to the assistant from the browser, listen to the voice while calling, and read the transcription.
4. Number connection and routing: Supports connecting Twilio, Telnyx, or SIP trunking, routing each number to a specified assistant; the same assistant can also be embedded in a website or make outbound calls from a contact list.
5. Call review and iteration: Each call returns a transcription, summary, sentiment, and cost; lessons learned from calls can be fed back into the assistant and the next version published.
6. Multi-model assistant clusters: Assistant clusters can be run on OpenAI, Gemini, and Azure, with each assistant having its own voice, language, tools, and knowledge base.
7. Information placement rules: Route each inbound and outbound number to the correct assistant through placement rules.
8. Outbound campaigns: Launch thousands of outbound calls from a contact list, with each number validated before dialing, and a retry mechanism that can continue after a restart.
9. Call records: Every call is recorded, transcribed by speaker, sentiment-scored, and archived with its duration, outcome, and cost.
10. Dashboard metrics: View call volume, latency, success rate, sentiment, and spending for all assistants and numbers in a single workspace view.
11. Integrations and extensibility: The official offering provides "native integrations" for several tools, and connects to other systems via REST API and Webhook.

III. How to Use (based on the official description) The typical process is: build, configure, and test a voice assistant; connect, route, and manage inbound and outboundnumber; run outbound campaigns; track, review, and manage all calls handled by the assistant; view overview metrics in the dashboard. The official page also provides an interactive entry point to "talk by simply turning on the microphone" for trying out the assistant in the browser.

IV. Applicable scenarios (officially listed)

• Financial services, retail and commerce, travel and aviation: such as freezing a bank card during a call, checking inventory and holding an item, changing a seat during a call.
• Healthcare, hotels, automotive: such as scheduling, rescheduling, and confirming after hours; booking dining and spa appointments; reserving a workstation and providing a courtesy vehicle.
• Real estate, education, insurance: such as checking property viewing times and booking a viewing, registering a student by phone, adding coverage and quoting a renewal.
• Logistics, field services: such as providing real-time location and estimated time of arrival, logging faults and giving an ETA, reassigning an on-site visit time.
• Human resources and recruiting, legal and compliance, accounting: such as sending a benefits package before the call ends, confirming and sending a copy of a contract, explaining and splitting an invoice.

V. Deployment and security (official statements)

• Availability and performance: provides a 99.95% contractual uptime and performance guarantee, and reserves capacity based on business volume.
• Dedicated deployment support: an engineer embedded in the team, which the official statement says can go live in a week rather than a quarter.
• Scalable infrastructure: the official statement says it can scale to millions of calls per month, with a median response time of 194ms in the real-time link.
• Secure data mesh: continuous audit monitoring, edge-side PII redaction, and tenant isolation to meet data residency requirements.
• Hybrid deployment: can run in your own VPC or a hosted on-premises environment to handle cases where privacy rules do not allow other options.
• Compliance: aligned with HIPAA, ISO, and PCI, and provides the evidence needed for security reviews.

VI. Key technical architecture points (official Q&A)

• Integration with existing enterprise telephony stacks: as an orchestration layer, it connects through standard SIP trunks or WebRTC, can directly peer with carriers or CCaaS providers (such as Twilio, Genesys, AWS Connect), routes specific numbers to NexaVoxa nodes, while retaining existing telephony infrastructure; supports SIP over TLS and SRTP encrypted media transmission.
• On-premises or private cloud deployment: by default it is a hosted multi-tenant edge; enterprise customers can deploy NexaVoxa nodes inside their own VPC (AWS, GCP, or Azure), keeping audio processing and LLM inference within the organization's security boundary.
• Environment isolation: provides strict isolation between sandbox and production environments; changes to assistant prompts, knowledge bases, or logic are firsttested on sandbox nodes with independent API keys and telemetry, then promoted to a high-availability production cluster.
• Typical go-live timeline: initial logic and integration mapping usually take 2 to 4 weeks; full production go-live depends on telephony peering and internal compliance review, but most enterprises reach full scale within 60 to 90 days after a successful pilot.
• Physical transmission distance for global users: uses a distributed Edge-Voice-Bridge (EVB) architecture, with orchestration nodes located in 14 global regions, ensuring audio is processed at the point of presence closest to the caller to reduce physical transmission latency and packet loss.

VII. Pricing (official statements) No seat fees, no monthly minimum; billed per minute, you can view the cost of each call, and the platform covers the first $2.00 for new users; cancel anytime, no contract required. Each call also incurs a fixed $0.004 platform fee, charged only once regardless of call duration. The official statement also mentions that you can switch providers on the page to see price changes.

VIII. Limitations and information not yet provided The materials do not specify the exact list of supported languages, the specific list of natively integrated tools, detailed limits for each mode, recording retention duration, details of SLA compensation terms, or price differences among different model providers. The above content is subject to the official actual terms.