etelligensAi · Voice AI

Build AI voice agents for natural, integrated, and measurable conversations at scale.

Etelligens develops real-time voice agents for service, scheduling, sales support, operations, and information workflows with speech recognition, language models, text-to-speech, enterprise integrations, and human escalation.

Business-value firstSecurity & governance by designProduction engineeringMeasured adoption
Why it matters

Voice agents must handle latency, interruption, accents, context, tool use, and escalation while still feeling natural to callers.

We design voice experiences around specific intents, conversation boundaries, system actions, compliance requirements, and the situations that need a human.

The real-time stack can combine speech-to-text, language models, retrieval, business logic, tool calling, text-to-speech, telephony, CRM, and workflow integration.

Operational analytics measure containment, task completion, transfer reasons, latency, recognition quality, call outcomes, and cost so performance can improve continuously.

Capabilities

What Etelligens delivers.

Voice programs can begin with one high-volume call flow and expand as evaluation proves quality and business value.

01

Voice journey design

Map intents, turn-taking, interruptions, confirmations, sensitive data, fallback, and transfer paths.

02

Real-time speech stack

Integrate speech recognition, streaming language models, orchestration, and natural text-to-speech.

03

Telephony & channel integration

Connect SIP, contact-center platforms, phone numbers, routing, call recording, and digital channels.

04

Enterprise actions

Allow agents to retrieve account context, schedule, update records, create cases, and trigger approved workflows.

05

Safety & compliance controls

Apply consent, authentication, sensitive-data handling, logging, retention, and human escalation rules.

06

Call evaluation & analytics

Measure task success, recognition, latency, interruptions, containment, transfers, outcomes, and cost.

Enterprise use cases

Where this capability creates value.

Voice AI is strongest where callers have clear intents and the agent can access the systems needed to resolve them.

01

Customer service

Handle common questions, account requests, case creation, status checks, and contextual transfers.

02

Scheduling & reminders

Book, reschedule, confirm, and remind customers while updating source systems in real time.

03

Lead & service qualification

Collect structured information, answer approved questions, route opportunities, and prepare human follow-up.

04

Operations & field support

Provide hands-free access to procedures, status, troubleshooting, and workflow actions for mobile teams.

Delivery model

From opportunity to reliable production.

Our multidisciplinary team connects product strategy, data, AI engineering, application integration, security, quality engineering, and change management.

01

Map

Analyze call drivers, intents, systems, compliance, recognition challenges, and escalation patterns.

02

Prototype

Test speech quality, latency, prompts, tools, interruptions, accents, and representative call scenarios.

03

Integrate

Connect telephony, identity, business systems, workflows, monitoring, and human transfer.

04

Optimize

Review transcripts and outcomes, improve intent coverage, refine latency, and expand only where quality is proven.

Create a voice experience that resolves real customer and operational needs.

Talk to our AI team