24/7 call coverage
Answer every inbound call within one ring, day or night, weekends and holidays, with no hiring, scheduling, or queue backlog and no missed revenue.
Xpiderz is a senior voice AI development company helping enterprises ship custom speech recognition pipelines, real-time voice agents, conversational voice AI, and telephony integrations, engineered for low latency, accent coverage, regulated industries, and measurable business impact.
Voice is the highest-intent channel an enterprise owns, yet most contact centers still rely on rigid IVR trees, brittle scripts, and offshore agents that frustrate callers and inflate cost-to-serve. Teams that want to modernize quickly hit hard problems: real-time speech-to-text accuracy on noisy lines, sub-second response latency, accent and dialect coverage at scale, deep integration with legacy PBX, SIP, and contact-center stacks, and watertight compliance for recorded conversations. We close this gap with enterprise-grade voice AI development services engineered for production telephony, combining streaming ASR, neural TTS, voice agent orchestration, tool use, and observability tuned to your call flows, brand voice, and regulatory environment, every voice agent built for accuracy, low latency, and measurable business outcomes.
As a senior voice AI development company, we draw on deep expertise across streaming speech recognition, neural voice synthesis, voice agent orchestration, telephony integration, and compliance engineering to ship production-grade voice systems that resolve calls, capture data, and scale with your business.
Streaming voice agents built on modern LLMs with tool use, function calling, and dialogue policies, capable of handling multi-turn calls, booking appointments, qualifying leads, and resolving service requests with sub-second turn latency and natural barge-in handling.
Real-Time Speech-to-Text
Streaming ASR with domain vocabulary, speaker diarization, and noise robustness, tuned for telephony codecs and live transcription at scale.
Neural Text-to-Speech and Voice Cloning
Natural-sounding neural TTS with controllable pacing, emotion, and branded voice clones that match your tone across IVR, callbacks, and outbound.
Multilingual and Accent Handling
Voice models tuned across 30+ languages and regional accents, with automatic language detection and seamless code-switching for global call traffic.
Voice Analytics and Transcription
Searchable call transcripts, sentiment, intent, and topic analytics that turn every conversation into structured CRM data and coaching signal.
Production-ready integrations with SIP trunks, Twilio, Vonage, Genesys, Five9, Amazon Connect, Avaya, and legacy PBX systems, with full DTMF support, call transfer, warm handoff to live agents, and call recording aligned to your compliance posture.
Our voice AI development process takes your initiative from idea to live calls through four structured stages: voice UX discovery, speech model engineering, telephony and channel integration, and continuous monitoring, all delivered by senior voice AI engineers for accurate, low-latency, and on-brand conversations at scale.
Every engagement starts with a two-week discovery sprint where senior Xpiderz engineers join your operations, contact-center, and compliance leaders. We listen to live calls, audit existing IVR flows, map intents, and design a voice experience tuned to your callers, brand voice, and deflection targets. The output is a scoped voice AI roadmap with fixed timelines, persona guidelines, and measurable success metrics.
Our engineers build the speech recognition, voice synthesis, and agent reasoning models that power your voice AI. We select the right ASR, TTS, and LLM stack for your workload, fine-tune on your domain audio, and engineer dialogue policies, prompts, and tool calls tuned to your accuracy, latency, and cost targets.
We connect the voice agent to your live telephony stack, contact-center platform, CRM, and back-office systems with SSO, role-based access, audit trails, and zero-disruption rollouts. Every deployment is engineered for production scale with redundant SIP routing, codec negotiation, DTMF fallback, warm handoff to human agents, and red-team testing before launch.
Enterprise voice agents need continuous monitoring to hold accuracy, latency, and brand quality on live calls. Xpiderz instruments end-to-end dashboards, human-review queues, and retraining loops that track recognition error rates, response latency, and conversation outcomes. Continuous optimization keeps the agent aligned with evolving products, regulations, and caller behavior.
Why enterprises invest in custom voice AI development, and the measurable outcomes Xpiderz delivers across contact centers, field operations, and outbound revenue motions.
Answer every inbound call within one ring, day or night, weekends and holidays, with no hiring, scheduling, or queue backlog and no missed revenue.
Contain 40 to 70% of repetitive calls inside the voice agent, free human agents for complex work, and shrink cost-per-call without sacrificing CSAT.
Streaming ASR, intent routing, and live agent assist cut talk time and after-call work, lifting throughput per agent and reducing caller hold times.
Serve callers in 30+ languages and regional accents with one voice platform, expanding markets without standing up new offshore queues.
Consent capture, redaction, retention, and audit trails engineered for HIPAA, PCI, GDPR, GLBA, TCPA, and EU AI Act regulated voice workloads.
Turn every call into searchable transcript, sentiment, and topic data so product, marketing, and ops can hear the voice of the customer in real time.
We engineer voice AI on modern streaming ASR, neural TTS, and LLM agent stacks, not just IVR builders. Every architecture is tuned for your acoustic environment, brand voice, and call flows, so the agent stays accurate, on-brand, and ready for real production traffic.
We ship voice agents into live production, not just demos. Xpiderz has deployed inbound, outbound, and hybrid voice systems across support, sales, claims, and field ops, with measurable containment, real callers, and tracked ROI.
Security, governance, and compliance are baked in from day one. We design to HIPAA, PCI, GDPR, GLBA, TCPA, SOC 2, and EU AI Act standards with private deployments, customer-managed keys, PII redaction, and full call recording controls.
Working voice prototypes in 2 to 4 weeks, production deployments in a single quarter. Every prototype is built on the same architecture as the final agent, so there is no rewrite from POC to scale.
No vendor lock-in. We architect on Deepgram, AssemblyAI, Whisper, ElevenLabs, Cartesia, PlayHT, OpenAI, Anthropic, Google, and open-source models on your infrastructure, choosing the right stack for each call type.
Our voice agents handle balance inquiries, fraud alerts, card activation, and authenticated servicing on inbound calls, cutting contact-center cost while keeping every interaction compliant and recorded.
Voice agents take first-notice-of-loss intake, capture claim details over the phone, route policy questions, and book adjuster appointments, accelerating claims cycle time and lifting customer satisfaction.
HIPAA-aligned voice agents triage symptoms, book and confirm appointments, manage prescription refills, and handle after-hours nurse line overflow, freeing clinical staff for higher-acuity work.
Voice AI powers drive-thru ordering, phone-in takeout, store hours, and order status across QSR and retail, cutting wait times and lifting average ticket size with consistent upsell scripts.
Voice agents take dispatch calls, capture proof of delivery, handle driver check-ins, and route exception calls, reducing dispatcher load and accelerating real-time fleet decisions.
Outbound voice agents run cold calling and lead nurture at scale, qualify buyers and renters, book showings, and follow up on listings, multiplying agent capacity without growing headcount.
Voice agents qualify inbound dealer leads, book service appointments, and run outbound recall and reactivation campaigns across dealer groups and OEM call centers.
Voice agents handle reservations, change and cancel flows, disruption rebooking, and loyalty servicing across hotels, airlines, and OTAs, smoothing peak-season call surges.
Voice agents handle outage reporting, meter reads, payment arrangements, and service start-stop calls, smoothing storm-event call spikes and freeing live agents for high-priority issues.
Voice agents intake matters after hours, qualify potential clients, schedule consultations, and capture call notes straight into the matter system, freeing attorneys for billable work.
Voice agents run admissions outreach, reactivate dormant applicants, answer financial-aid questions, and handle parent and student support lines around the clock.
Voice agents qualify inbound demo calls, run outbound SDR motions, handle tier-one technical support over the phone, and capture structured CRM data on every interaction.
Let's scope your voice AI program and map the fastest path from prototype to live calls in production.
Schedule a CallClear answers on scope, cost, compliance, and how production-grade voice AI development services actually work.
Voice AI development engineers production-grade speech systems that listen, understand, and respond in real time across phone, app, and embedded channels, combining streaming ASR, neural TTS, and LLM agents so enterprises can resolve calls, capture data, and scale support without growing headcount.
It depends on call complexity. Legacy IVR works for short, predictable menus like store hours or order status. Voice AI, powered by LLM agents and streaming ASR, handles open-ended conversations, multi-turn context, accents, and dynamic tool use. Most enterprise deployments are hybrid: voice AI for understanding, structured policies for high-stakes actions.
Yes, we integrate with Twilio, Vonage, Genesys, Five9, Amazon Connect, Avaya, Cisco, and direct SIP trunks, plus your CRM, ticketing, and back-office systems. No rip-and-replace, and we preserve audit trails, SSO, and role-based access from day one.
No, a production voice agent does not require a huge budget. Pilots typically start at $25K and full enterprise voice platforms scale to $250K+, scoped to call volume, channel breadth, telephony integrations, language coverage, and compliance requirements.
Working voice prototypes ship in 3 to 5 weeks. Full telephony-integrated deployments reach production within a single quarter, with weekly demos against working calls and a real go-live date committed during scoping.
Yes, voice AI is safe for regulated industries when engineered correctly. We design to HIPAA, PCI, GDPR, GLBA, TCPA, SOC 2, and EU AI Act standards with private deployments, customer-managed keys, PII redaction, consent flows, retention controls, and full call audit trails baked in from day one.
Every voice agent is instrumented from day one with KPIs like containment rate, average handle time, cost-per-call, CSAT, conversion lift, and revenue captured, so ROI is observable in live dashboards rather than anecdotal.
Yes, you own everything we build, including custom ASR vocabularies, cloned voice models, prompts, dialogue policies, evaluation suites, and infrastructure. No vendor lock-in and no per-seat licensing on the work we deliver.
Deepgram, AssemblyAI, OpenAI Whisper, Google Speech, Microsoft Azure Speech, Nvidia Riva for ASR, plus ElevenLabs, Cartesia, PlayHT, OpenAI, and Azure Neural for TTS, orchestrated with OpenAI, Anthropic, Google Gemini, Mistral, Meta Llama, or open-source LLMs on your infrastructure.
Book a free discovery call to align on goals, receive a fixed-fee proposal within 48 hours, and a senior voice AI engineering pod kicks off within one to two weeks. No account-manager handoffs, no offshore subcontracting.












