---
title: "10 Best AI Voice Agent Development Companies in 2027"
description: "Find AI voice agent development companies that can automate customer calls, qualify leads, and handle real business conversations. Explore your options and identify the right team for your use case."
entityName: "EnactOn Technologies Private Limited"
pageType: "Article"
url: "https://www.enacton.com/blog/ai-voice-agent-development-companies/"
rawMdUrl: "https://www.enacton.com/blog/ai-voice-agent-development-companies.md"
lastUpdated: "2026-10-17"
---

# 10 Best AI Voice Agent Development Companies in 2027

## Additional Documentation & Details

The best AI voice agent development companies in 2027 are EnactOn, RaftLabs, Appinventiv, Trembit, Intellectyx, Simform, Zignuts Technolab, Vegavid, 75way Technologies, and InfyOm Technologies, all rated between 4.6 and 5.0 on Clutch. Each one offers voice AI agents as a dedicated service, but they differ in price, team size, and specialization, from contact center agents to booking assistants for small businesses. Picking the wrong one usually means an agent that sounds impressive in a demo and breaks on real calls.

Demand is rising quickly. The voice agents market is projected to grow from about USD 2.32 billion in 2025 to USD 27.45 billion by 2032, according to [MarketsandMarkets](https://www.marketsandmarkets.com/Market-Reports/voice-agents-market-174295232.html), and [Gartner](https://www.gartner.com/en/newsroom/press-releases/2022-08-31-gartner-predicts-conversational-ai-will-reduce-contac) forecast that conversational AI would cut contact center agent labor costs by $80 billion by 2026. For operations leaders, founders, and product teams, the partner decision now matters as much as the technology choice.

This guide compares the ten firms side by side, with Clutch ratings, minimum project sizes, hourly rates, and the type of client each one fits best. It also covers how to evaluate a voice partner, what voice agents cost, and the questions to ask before signing, drawing on EnactOn's experience in [AI agent development](/ai-agent-development/).

## What Do AI Voice Agent Development Companies Build?
AI voice agent development companies build software that answers and makes calls, understands natural speech, and completes tasks such as booking appointments, taking orders, or resolving support requests. A complete build covers telephony, speech-to-text, the language model, text-to-speech, integrations with business systems, and monitoring after launch.

| Service | What it covers |
| :---- | :---- |
| Voice agent strategy | Choosing call types, success metrics, and the right architecture |
| Inbound phone agents | Answering calls for support, scheduling, orders, and FAQs |
| Outbound voice agents | Reminders, follow-ups, surveys, and lead qualification calls |
| In-app and web voice | Voice assistants inside mobile apps, websites, and kiosks |
| Integrations | Connecting agents to CRMs, calendars, POS, EHR, and helpdesk systems |
| Monitoring and tuning | Call review, latency tracking, and ongoing improvements |

Restaurant phone ordering is a good example of a focused, high-volume use case; this guide to an [AI voice ordering system for restaurants](/blog/ai-voice-ordering-system-for-restaurant/) shows how calls turn into kitchen tickets. For the architecture and tech stack behind these builds, see our guide on [how to build AI voice agents](/blog/how-to-build-ai-voice-agents/).

## How Were These Companies Selected?
Every company in this list offers AI voice agent development as a dedicated service and holds a Clutch rating. Each was assessed on the five criteria below, and every rating shown is the firm's Clutch rating.

| Criterion | What we looked for |
| :---- | :---- |
| Dedicated voice AI service | Voice AI agents offered as a defined service, not just a blog topic |
| Production delivery | Evidence of AI systems built for real users and integrations |
| Clutch client feedback | Clutch rating and review volume |
| Pricing transparency | Published minimum project size and hourly range on Clutch |
| Engineering breadth | Ability to handle telephony, integrations, and post-launch support |

## Which AI Voice Agent Development Companies Should Be on Your Shortlist?
Use this table for a quick comparison. Ratings are Clutch ratings with review counts in brackets, and a dash means the figure is not published.

| Company | Founded | HQ | Clutch rating | Min. project | Hourly rate | Best for |
| :---- | :---- | :---- | :---- | :---- | :---- | :---- |
| EnactOn | 2013 | Surat, India | [4.8](https://clutch.co/profile/enacton-technologies) | $5,000+ | $25 to $49 | Voice agents from proof of concept to production |
| RaftLabs | 2015 | - | 4.9 (20) | $10,000+ | $25 to $49 | Test-heavy automation of one call type at a time |
| Appinventiv | 2015 | Noida, India | 4.6 (90) | $50,000+ | $25 to $49 | Voice agents inside large consumer apps |
| Trembit | 2009 | Kyiv, Ukraine | 4.9 (16) | $10,000+ | $50 to $99 | Real-time voice, telephony, and latency tuning |
| Intellectyx | 2008 | Pasadena, US | 4.9 (10) | $25,000+ | $25 to $49 | Contact center voice agents with managed ops |
| Simform | 2010 | Orlando, US | 4.8 (88) | $25,000+ | $25 to $49 | Voice AI on strong cloud foundations |
| Zignuts Technolab | 2017 | Gandhinagar, India | 4.8 (57) | $10,000+ | Under $25 | Budget full-lifecycle voice agents |
| Vegavid | 2018 | Noida, India | 5.0 (1) | $25,000+ | $50 to $99 | Fast proofs of concept for regulated firms |
| 75way Technologies | 2015 | San Jacinto, US | 5.0 (7) | $5,000+ | $25 to $49 | Ready-made voice agent types |
| InfyOm Technologies | 2015 | Surat, India | 5.0 (1) | $1,000+ | Under $25 | Simple booking and reception agents |

## What Are the Best AI Voice Agent Development Companies in 2027?
The profiles below show what each of these AI voice agent development companies does best, with Clutch data and the type of client each one suits. Use the Best for line to narrow your shortlist.

### 1. EnactOn
*Founded 2013 · Surat, India · 80+ in-house team · [4.8/5 on Clutch](https://clutch.co/profile/enacton-technologies) · Projects from $5,000 · $25 to $49 per hour*

EnactOn is an AI-first software development company that builds voice agents as part of its AI agent development practice. Its approach starts with the calls, not the technology: which call types the agent should own, which systems it must update, and when it must hand the caller to a person.

Every voice project follows Intent-Driven Engineering. Senior architects write a specification covering call flows, tools, guardrails, latency targets, and escalation rules before development begins, then AI accelerates the build under strict human review. Raw AI-generated code never enters production, and every release passes four gates covering functionality, security, performance, and deployment.

- **Proof of concept on your real calls.** Voice projects start with an [AI proof of concept](/ai-proof-of-concept-development/) that typically takes 4 to 6 weeks and measures latency, completion rate, and cost per call before a full build is funded.

- **Clear build tiers.** Single-task voice agents typically cost $5,000 to $15,000, agents that combine knowledge and actions $15,000 to $35,000, and multi-agent systems $35,000 to $65,000, with production builds usually taking 3 to 6 months.

- **Integration-first design.** Agents read from and write to the CRMs, calendars, POS, and helpdesk systems teams already use, and pass full context to staff when a call is transferred.

- **Market-first discovery.** Each agent is shaped around the languages, regulations, and caller behavior of the market it serves, including call-recording consent and AI disclosure requirements.

- **Human review at every step.** Engineers verify prompts, tool permissions, and AI-assisted code, and approval gates protect high-impact actions such as cancellations or payments.

- **Proven scale.** 13+ years in business, 500+ projects delivered for 350+ clients in 65+ countries, and a 95% client retention rate.

**Core voice AI services:** Inbound and outbound phone agents, in-app voice assistants, appointment and order handling, CRM and calendar integrations, latency tuning, and post-launch monitoring.

**Industries served:** Healthcare, restaurants and food ordering, e-commerce, real estate, EdTech, fintech, and SaaS.

**Best for:** Businesses that want one accountable partner to take a voice agent from proof of concept to production, with transparent pricing and human review at every step.

### 2. RaftLabs
*Founded 2015 · 10 to 49 employees · 4.9/5 on Clutch (20 reviews) · $10,000+ · $25 to $49 per hour*

RaftLabs is an AI-first software company with a dedicated AI voice agent service for inbound and outbound calls. Its agents answer and place calls, understand spoken requests, complete defined tasks in approved business systems, and hand calls to a person with full context when needed.

The team works in four stages: understand the calls that happen today, choose the lightest workable path, evaluate the agent on difficult turns, and release one measured call type before widening coverage.

- **Rigorous call testing.** Agents are tested on clean and noisy audio, accents, silence, interruptions, corrections, voicemail, tool timeouts, and opt-out requests before release.

- **Defined first phase.** Every project starts with a $10,000 first phase covering one call type, approved scripts, telephony integration, human handoff, and a written build, buy, or repair recommendation.

- **Full telephony coverage.** Its builds handle SIP and programmable telephony, caller identification, voicemail and machine detection, transfers, retries, and fallbacks.

- **Fast delivery record.** One research-interview platform went from concept to live product in 12 weeks.

- **Small, senior team.** A compact team gives clients direct access to the engineers building their agent.

**Core voice AI services:** Inbound call answering and routing, booking and rescheduling, lead qualification, structured research interviews, reminders, and outbound follow-ups.

**Industries served:** Hospitality, healthcare, market research, dental and medical spas, retail, and utilities.

**Best for:** Startups and growing companies that want a careful, test-heavy team to automate one call type at a time.

### 3. Appinventiv
*Founded 2015 · Noida, India · 1,000+ employees · 4.6/5 on Clutch (90 reviews) · $50,000+ · $25 to $49 per hour*

Appinventiv is a large digital product engineering company with a dedicated AI voice agent practice. It builds voice agents that combine speech recognition, language models, and neural text-to-speech with real-time connections to enterprise systems.

Its service covers the full lifecycle, from voice strategy and voice UX design to multilingual adaptation, integration, model training, analytics, and security monitoring.

- **Enterprise-scale performance.** Appinventiv states its voice agents respond in under 800 milliseconds, support 48 languages and dialects, and scale to more than 100,000 concurrent voice sessions.

- **Governance built in.** Its architectures include role-based permissions, audit trails, and human-in-the-loop checkpoints.

- **Deep integration.** Agents connect to CRM, ERP, telephony APIs, contact center platforms, payment systems, and scheduling tools.

- **Defined timelines and budgets.** Basic voice agents take 4 to 8 weeks, enterprise solutions 3 to 6 months, and single-department agents typically cost $40,000 to $200,000.

- **Known brand clients.** Its client list includes KFC, Pizza Hut, Adidas, IKEA, and KPMG.

**Core voice AI services:** Voice strategy and use-case consulting, voice UX design, custom voice agents, multilingual adaptation, system integration, and monitoring.

**Industries served:** Healthcare, fintech, lending, e-commerce, automotive, travel, restaurants, telecom, and media.

**Best for:** Companies adding voice agents to large, consumer-facing apps or enterprise systems with a sizable budget.

### 4. Trembit
*Founded 2009 · Kyiv, Ukraine · 10 to 49 employees · 4.9/5 on Clutch (16 reviews) · $10,000+ · $50 to $99 per hour*

Trembit is a real-time voice and video specialist with a dedicated voice AI agent and voice assistant service. It has delivered more than 50 video and voice implementations over 15+ years, which makes it strong on latency budgets, barge-in, turn-taking, and SIP and WebRTC transport.

It builds AI phone agents and IVR replacements, voice agents inside apps and video calls, and self-hosted voice AI for teams with strict compliance needs. It also offers a dedicated service for rescuing and tuning slow voice agents.

- **Telephony depth.** Trembit works with SIP, PSTN, FreeSWITCH, Asterisk, Twilio, Vonage, LiveKit, and Pipecat.

- **Compliance and self-hosting.** It builds HIPAA- and GDPR-ready voice assistants that can run on a client's own infrastructure.

- **Measured results.** An AI phone-screening agent for a staffing client delivered 10 times the screening throughput and cut recruiter screening hours by more than 80%.

- **Real-time translation.** An in-call medical translation system delivers dubbed audio in under a second with no audio stored.

- **Structured delivery.** A proof of concept takes 4 to 8 weeks, and a production build typically takes 3 to 5 months.

**Core voice AI services:** AI phone agents, IVR replacement, in-app and in-call voice agents, self-hosted voice AI, and voice agent latency tuning.

**Industries served:** Healthcare, finance, staffing and HR, media production, telemedicine, and e-learning.

**Best for:** Telehealth, e-learning, and media platforms that need voice AI inside real-time audio and video, or teams fixing a slow voice agent.

### 5. Intellectyx
*Founded 2008 · Pasadena, US · 250 to 999 employees · 4.9/5 on Clutch (10 reviews) · $25,000+ · $25 to $49 per hour*

Intellectyx is an enterprise agentic AI partner with a dedicated AI voice agent service for healthcare, finance, and contact centers. Its agents handle customer calls, scheduling, and triage around the clock, with fallback to human agents when a request needs one.

Projects follow four stages: discovery of goals, call flows, and KPIs; design of dialogue models and voice personalities; integration with existing systems; and launch with continuous monitoring.

- **Contact center integration.** Agents connect to VoIP, cloud call centers, and existing IVR systems through APIs and SIP gateways.

- **Multilingual coverage.** Intellectyx supports more than 25 languages and dialects.

- **Fast deployment.** Its voice agents typically go live in 2 to 6 weeks.

- **Automation results.** It reports automating 35% to 60% of call handling within three months of launch.

- **Managed operations.** AgentOps, monitoring, and cost optimization services keep agents tuned after launch, built on its IX AI Foundry platform.

**Core voice AI services:** Inbound voice agents, appointment scheduling and triage, sales and HR voice assistants, IVR modernization, and managed AgentOps.

**Industries served:** Healthcare, banking and finance, contact centers, retail and e-commerce, and manufacturing.

**Best for:** Companies that want voice agents plugged into existing call centers, with ongoing managed operations after launch.

### 6. Simform
*Founded 2010 · Orlando, US · 1,000+ employees · 4.8/5 on Clutch (88 reviews) · $25,000+ · $25 to $49 per hour*

Simform is a large product engineering company with a dedicated voice AI development service that embeds domain-specific voice AI into business workflows, from call automation to sentiment tagging. Its voice work sits on top of strong cloud, data, and platform engineering practices.

It wraps foundation models in an orchestration layer with retrieval, safety prompts, rate limits, encryption, and audit logs, and connects voice agents to back-end systems through event streams and vector-based retrieval.

- **Low-latency, multilingual audio.** Simform states its speech stack supports 130+ languages with interruptible audio under 200 milliseconds.

- **Flexible deployment.** Voice agents can run in the cloud, on-premises, at the edge, or in isolated containers with autoscaling.

- **Seamless handoffs.** Adapters for SIP, PSTN, and WebRTC pass full call context to live representatives.

- **Cost discipline.** Reusable accelerators and FinOps dashboards help control infrastructure costs as call volume grows.

- **Speech analytics.** It analyzes tone, pace, and word choice in real time and mines call recordings for insight.

**Core voice AI services:** Customer support voice automation, workflow automation, speech and sentiment analysis, and voice AI for connected devices and AR/VR.

**Industries served:** Healthcare, retail, financial services, and software companies.

**Best for:** Software companies that need voice agents built on solid cloud and data infrastructure.

### 7. Zignuts Technolab
*Founded 2017 · Gandhinagar, India · 50 to 249 employees · 4.8/5 on Clutch (57 reviews) · $10,000+ · Under $25 per hour*

Zignuts is an AI-focused software company with a dedicated AI voice agent development service for customer support, sales, scheduling, collections, healthcare intake, field service, and internal IT helpdesks. It combines speech recognition, LLMs, retrieval-augmented generation, and telephony integrations into agents that complete tasks, not just answer questions.

Projects run through six stages: discovery and voice AI strategy, architecture planning, conversation design, development and integration, testing and optimization, and deployment with continuous monitoring.

- **Wide use-case coverage.** Its agents handle sales qualification, payment reminders, order updates, healthcare intake, and field service coordination.

- **Knowledge-grounded answers.** Agents use RAG with vector databases and embeddings to answer from a company's own knowledge sources.

- **Broad integrations.** Agents connect to telephony systems, CRMs, ERPs, helpdesks, calendars, and payment systems.

- **Global presence.** Zignuts has offices in India, Germany, and the United States.

- **Low hourly rates.** Rates under $25 per hour suit teams that need voice work on a tight budget.

**Core voice AI services:** Customer support and sales voice agents, appointment scheduling, collections and payment reminders, healthcare intake, field service coordination, and IT helpdesk agents.

**Industries served:** Fintech, healthcare, fitness and wellness, SportsTech, supply chain, legal tech, and logistics.

**Best for:** Cost-conscious teams that want a full-lifecycle voice agent build with knowledge-base answers.

### 8. Vegavid
*Founded 2018 · Noida, India · 50 to 249 employees · 5.0/5 on Clutch (1 review) · $25,000+ · $50 to $99 per hour*

Vegavid is a technology company with a dedicated AI voice agent development service for inbound and outbound calls. Its agents take actions during calls, such as updating a CRM or booking a calendar slot, across support, lead qualification, appointment booking, payment reminders, and feedback surveys.

Projects follow six stages, starting with call flow mapping from real recordings and ending with deployment and ongoing optimization of containment, latency, and sentiment.

- **Fast proof of concept.** Vegavid runs a two-week proof of concept on real call scripts, with basic inbound agents in 3 to 4 weeks and full enterprise builds in 6 to 10 weeks.

- **Healthcare scheduling results.** A patient scheduling agent across 14 locations reached 68% call containment, cut hold times by 92%, and reduced no-shows by 31%.

- **Real estate lead handling.** A lead response and showing scheduling agent reached 74% containment and cut lead response time by 97%.

- **Compliance coverage.** Builds are designed for HIPAA, PCI-DSS, and GDPR, with encryption and audit logging.

- **Published pricing.** Basic inbound agents typically cost $20,000 to $50,000, and standard agents with outbound calling and CRM integration $50,000 to $120,000.

**Core voice AI services:** Inbound and outbound voice agents, lead qualification, appointment booking, order and account management, payment reminders, and feedback surveys.

**Industries served:** Healthcare, banking and finance, payments, insurance, retail and e-commerce, travel, telecom, and automotive.

**Best for:** Regulated businesses that want a fast proof of concept and published price ranges up front.

### 9. 75way Technologies
*Founded 2015 · San Jacinto, US · 50 to 249 employees · 5.0/5 on Clutch (7 reviews) · $5,000+ · $25 to $49 per hour*

75way is an app and web development company with a dedicated AI voice agent development service. It builds custom and pre-built voice agents for customer support, sales, appointment scheduling, lead qualification, reservations, and IVR replacement, including multilingual agents.

Its delivery runs through requirement discovery, conversation design, development, integration, testing, and deployment with ongoing support.

- **Wide voice toolset.** Its teams use Dialogflow, Amazon Lex, Whisper, Deepgram, and Voiceflow alongside LLM and RAG frameworks.

- **Real estate results.** A real estate voice agent it built reported a 45% lead-to-visit rate and 90% fewer missed calls.

- **Support automation results.** An e-commerce voice agent resolved 80% of tickets and delivered 70% faster first responses.

- **Tiered pricing.** Simple agents start around $5,000 to $25,000, mid-level agents $25,000 to $95,000, and advanced agents more.

- **Known clients.** Clients include Stanford, LG, and Ferrero Rocher.

**Core voice AI services:** Multilingual voice agents, receptionist and reservation agents, IVR replacement, inbound and outbound calling, and appointment scheduling.

**Industries served:** Healthcare, finance, e-commerce, telecom, logistics, education, real estate, travel, and retail.

**Best for:** Businesses that want ready-made voice agent types adapted quickly, with a low starting budget.

### 10. InfyOm Technologies
*Founded 2015 · Surat, India · 10 to 49 employees · 5.0/5 on Clutch (1 review) · $1,000+ · Under $25 per hour*

InfyOm is a web and mobile development company with a dedicated voice AI agent development service focused on small and mid-size businesses. It builds agents for appointment booking, event RSVPs, restaurant reservations, reception desks, and customer support, plus ready-to-use agents that can be adapted quickly.

Its team handles the full call flow, from conversation design to integration with scheduling tools, CRMs, helpdesks, and custom back ends.

- **Very fast builds.** A voice agent can typically be built in 1 to 3 weeks, with more complex flows taking 4 to 6 weeks.

- **Practical stack.** Its teams use Vapi, Retell AI, ElevenLabs, Twilio, n8n, LangChain, and OpenAI models.

- **Scheduling integrations.** Agents connect to Cal.com, Calendly, Google Calendar, Airtable, and Notion.

- **Delivery record.** InfyOm reports 10+ voice agents delivered across 5+ use cases with 30+ system integrations.

- **Lowest entry point.** A $1,000 minimum project size suits small pilots.

**Core voice AI services:** Appointment booking, event confirmation, restaurant reservation, receptionist, and customer support voice agents.

**Industries served:** Clinics, restaurants, event companies, B2B services, and small offices.

**Best for:** Small businesses that want a simple booking or reception voice agent live within weeks.

> **Test a Voice Agent on Your Real Calls** EnactOn builds a voice agent proof of concept on your call types and systems, measuring latency, completion, and cost before you commit to a full rollout. [**Talk to a Solution Expert →**](/contact/)

## How Do You Choose Among Voice AI Agent Development Companies?
Choose among voice AI agent development companies by testing what matters on a live call: response speed, handling of interruptions, integration with your systems, compliance, and support after launch. A strong demo proves little; a pilot on your own call types proves a lot. The general framework in [how to choose an AI development partner](/blog/how-to-choose-ai-development-partner/) applies here too, with voice-specific tests on top.

1. **Latency on real calls.** People expect fast replies; a study of 10 languages found average gaps between turns sit within 250 milliseconds of the cross-language mean, according to [research in PNAS](https://pubmed.ncbi.nlm.nih.gov/19553212/). Ask each partner for measured response times on live calls.

2. **Conversation design.** Ask how they handle interruptions, silence, and off-topic callers, and compare their approach with established [AI chatbot development companies](/blog/ai-chatbot-development-companies/) on dialogue quality.

3. **Telephony and channel experience.** Confirm experience with phone numbers, SIP trunks, call transfers, and in-app voice.

4. **Integration depth.** The agent must read and write to your CRM, calendar, POS, or EHR, not just talk.

5. **Compliance and data handling.** Check AI disclosure, call-recording consent, outbound calling rules, and handling of payment or health data.

6. **Testing and monitoring.** Ask how they test with real accents and noise, and what dashboards you get after launch.

7. **Clutch feedback and team continuity.** Read Clutch reviews for delivery and communication, and confirm who will build your agent.

## How Much Does It Cost to Hire AI Voice Agent Development Companies?
Hiring AI voice agent development companies typically costs USD 5,000 to 15,000 for a focused single-task agent, USD 15,000 to 35,000 for an agent that combines knowledge and actions, and USD 35,000 to 65,000 or more for multi-agent systems. Hourly rates for the firms in this list range from under $25 to $99, and minimum projects from $1,000 to $50,000.

| Agent type | Typical build cost (USD) | Typical timeline |
| :---- | :---- | :---- |
| Single-task voice agent | 5,000 to 15,000 | 2 to 4 weeks |
| Knowledge and action voice agent | 15,000 to 35,000 | 4 to 8 weeks |
| Multi-agent voice system | 35,000 to 65,000 | 8 to 14 weeks |
| Enterprise voice platform | 65,000 to 120,000+ | 14 to 24 weeks |

On top of the build, voice agents carry per-minute usage costs for telephony, speech-to-text, the language model, and text-to-speech. This guide to the [cost to build an AI agent](/blog/how-much-does-it-cost-to-build-an-ai-agent/) explains the build tiers and running costs in more detail.

## What Questions Should You Ask Before Hiring?
Ask questions that require specific, verifiable answers. Vague replies to any of these are a warning sign.

1. **Can we hear a voice agent you built on a live call?** A recording or live demo on a real phone line is better than a slide.

2. **What response time do your agents achieve?** Ask for measured voice-to-voice latency, not estimates.

3. **How do you handle interruptions and transfers?** Look for barge-in support and handoffs that pass context to staff.

4. **Which systems will the agent connect to?** Confirm experience with your CRM, calendar, POS, or EHR.

5. **How will you test before launch?** Expect testing with real call audio, accents, and edge cases.

6. **What will it cost per minute to run?** Get estimates for telephony, speech, and model usage at your call volume.

7. **Who owns the code, prompts, and call data?** Your business should own all of it.

If your project goes beyond voice into text, workflow, or multi-channel agents, compare these firms with specialist [AI agent development companies](/blog/ai-agent-development-companies/) as well.

## What Red Flags Should Rule Out a Voice AI Partner?
Rule out partners who cannot play a real call recording, avoid giving latency numbers, or treat voice as a chatbot with a speaker attached. Voice adds timing, audio quality, and telephony problems that text projects never face.

| Red flag | Why it matters |
| :---- | :---- |
| Only scripted demos, no live calls | Real callers interrupt, mumble, and go off-script |
| No measured latency figures | Slow replies are the top reason callers hang up |
| No plan for human handoff | Callers get stuck in loops with no way out |
| Testing only with clean audio | Accents and background noise break transcription |
| No per-minute cost estimate | Running costs can exceed the build cost within months |
| Vague answers on data ownership | Call recordings and transcripts are sensitive business data |

## What Trends Will Shape AI Voice Agents in 2027?
Four trends will shape voice agent projects in 2027: faster speech-to-speech models, deeper system integration, stricter disclosure rules, and voice agents that act rather than just answer.

- **Speech-to-speech models.** Models that listen and speak natively will cut response times and make conversations sound more natural.

- **Agents that complete tasks.** Voice agents will book, update, and resolve requests end to end instead of only answering questions.

- **Disclosure and consent rules.** Expect clearer requirements to tell callers they are speaking with AI and to manage recordings carefully.

- **Multilingual by default.** Better speech models will make serving callers in several languages a standard expectation.

## Conclusion
The best AI voice agent development companies are the ones that can prove fast, reliable conversations on real calls and connect agents to the systems your business runs on. Clutch ratings, pricing, and team size help narrow the field, but a pilot on your own call types is the real test.

Shortlist two or three firms whose Best for line matches your project, ask each the questions above, and start with a paid proof of concept. Choose the partner whose agent performs best on your calls, not in its demo.

EnactOn brings 13+ years of delivery experience, 500+ projects for 350+ clients across 65+ countries, a [4.8/5 rating on Clutch](https://clutch.co/profile/enacton-technologies), and a 95% client retention rate. Its 80+ in-house engineers, designers, and QA professionals take voice agents from proof of concept to production with human review at every step.

[**Connect with our experts**](/contact/)

## FAQs
### Which are the best AI voice agent development companies in 2027?
The best AI voice agent development companies in 2027 include EnactOn ([4.8 on Clutch](https://clutch.co/profile/enacton-technologies)), RaftLabs (4.9), Appinventiv (4.6), Trembit (4.9), Intellectyx (4.9), Simform (4.8), Zignuts Technolab (4.8), Vegavid (5.0), 75way Technologies (5.0), and InfyOm Technologies (5.0). The right choice depends on your call volume, integrations, compliance needs, and budget.

### What does an AI voice agent development company do?
It designs, builds, and maintains AI agents that hold spoken conversations by phone or in apps. The work covers telephony, speech-to-text, the language model, text-to-speech, integrations with business systems, testing, and monitoring after launch.

### How much does it cost to build an AI voice agent?
A focused single-task voice agent typically costs USD 5,000 to 15,000 to build, while agents with knowledge retrieval and actions cost USD 15,000 to 35,000. Multi-agent systems cost USD 35,000 to 65,000 or more. Per-minute usage costs for telephony, speech, and the model are added on top.

### How long does it take to build an AI voice agent?
A single-task voice agent can launch in 2 to 4 weeks, and agents with knowledge and actions take 4 to 8 weeks. Multi-agent systems take 8 to 14 weeks, and enterprise platforms with many integrations can take up to 24 weeks.

### Should I hire offshore voice AI agent development companies?
Offshore voice AI agent development companies can deliver strong engineering at lower hourly rates, often $25 to $49 per hour. Judge them on live call demos, latency results, Clutch reviews, and communication cadence rather than location alone.

### Can a voice agent use my existing phone number?
Yes. Most voice agents can answer an existing number through call forwarding, SIP trunking, or number porting. Many businesses start by routing overflow or after-hours calls to the agent.

### What is a good response time for a voice agent?
Aim for a voice-to-voice response of about one second or less for most turns. People keep gaps between conversational turns short, so longer pauses sound unnatural and lead callers to hang up.

### Are AI voice agents compliant for healthcare and finance?
They can be, if built for it. Healthcare agents need HIPAA safeguards and a business associate agreement, and finance agents need careful handling of payment and personal data. Check each partner's compliance experience before sharing data.

### What is the difference between a voice agent and an IVR?
A traditional IVR uses fixed menus and keypad or keyword input. An AI voice agent understands natural speech, handles free-form questions, and completes tasks by connecting to business systems. Voice agents can replace or sit in front of an existing IVR.

### Do voice agents work in multiple languages?
Yes, most modern speech and language models support multiple languages, though accuracy varies by language and accent. Test each language with real callers before launch.

### How does EnactOn approach AI voice agent development?
EnactOn starts with a proof of concept on your real call types, typically in 4 to 6 weeks, then builds the production agent with integrations and human review at every step. Projects start at $5,000, hourly rates are $25 to $49, and EnactOn holds a [4.8/5 rating on Clutch](https://clutch.co/profile/enacton-technologies).

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## Company Entity & Canonical Verification
- **Legal Business Name:** EnactOn Technologies Private Limited
- **Headquarters:** 605, Luxuria Business Hub, Nr. V R Mall, Vesu, Surat, Gujarat, INDIA – 395007
- **Official Website:** https://www.enacton.com
- **Direct Contact:** contact@enacton.com | +91 74260 60610
- **Career Enquiries:** careers@enacton.com | (+91) 90790 45453
- **Primary Service Category:** Custom Software Development, Startup MVP Engineering, White-Label Platform Development & IT Consulting