Twilio / Telnyx / SIPgpt-realtimeDeepgram250+ projects since 2005
AI Call Agent Development

AI call agents that handle the phone

Real-time AI voice agents for inbound and outbound calls — answer, qualify, book, and transfer, in a natural voice, over your phone numbers. Full spoken reply in under 800 ms. First agent in 6–8 weeks, from $8K. Our work powers 600M+ call minutes a month.

600M+
Call minutes/month on AI phone agents we built
Sub-800 ms
Full spoken reply, turn to turn
24/7
Inbound and outbound, no hold queue
250+
Projects since 2005
Who this is for

Built for teams whose phone never stops ringing

If calls are piling up in a queue, going to voicemail after hours, or eating your team’s day with the same questions, an AI call agent answers on the first ring — and knows your systems.

Call deflection & supportAppointment bookingLead qualificationOutbound reminders & surveysAfter-hours coverageOrder takingCollections & follow-upHealthcare schedulingIVR replacementContact-center automation
Options

A voicebot platform, more human agents, or a custom AI call agent

A voicebot platform (Vapi, Retell, Bland) demos in a day but bills per minute and runs on their stack. More human agents means more cost and the same hold queue. A custom AI call agent answers every call, integrates your systems, and the per-call cost drops as you scale.

Voicebot platformMore human agentsCustom AI call agent (Fora)
Availability24/7Shifts, hold queues24/7, no queue
Latency / naturalnessFixed by platformHumanSub-800 ms, tuned turn-taking
Your CRM & toolsLimited connectorsManualNative — booking, lookup, transfer
TelephonyTheir numbersYour PBXTwilio, Telnyx, SIP/PSTN, your numbers
Model choiceLocked menun/agpt-realtime, Gemini, Deepgram, ElevenLabs
Call dataOn their serversYoursYour cloud, SOC 2 / HIPAA patterns
Cost at scalePer-minute markupLinear headcountYour infra; cost per call falls with volume

Keep humans for the hard, high-value calls. Let an AI agent take the repetitive ones — deflection, booking, qualification, after-hours — and warm-transfer the rest with full context. Building a web, video, or multimodal agent instead? See LiveKit AI agent development.

The call loop

What happens between the ring and the reply

A phone agent has to answer in the rhythm of a real conversation — under a second per turn, with interruptions handled. Here is the loop we build.

Phone callPSTN / SIPTwilioTurn detectVAD + barge-in50–150 msSTTDeepgram<300 msLLM + toolsgpt-realtimeCRM · bookingreasonTTSElevenLabs75–150 msReply+ transferon callFull spoken reply in under 800 ms — inbound & outbound — your CRM + tools
Figure 1: The call loop. Each turn closes in under ~800 ms, with barge-in and a warm transfer to a human when the agent hits its limit.
1

Connect the call

Twilio Voice, Telnyx, FreeSWITCH, or LiveKit SIP brings the call in over PSTN or SIP, with your numbers and caller ID — inbound or outbound.

Inbound or outbound
2

Turn detection & barge-in

Semantic turn detection decides when the caller has finished, and barge-in lets them interrupt — so the agent never talks over them.

Budget ~50–150 ms
3

Speech to text

Deepgram Nova-3 (or Voice Agent) transcribes the caller live, robust to phone-line audio and accents.

Budget <300 ms streaming
4

Reason & call your systems

The LLM (gpt-realtime, Gemini Live, or via Vapi/Retell/Pipecat) decides what to say, books, looks up, and writes to your CRM over tools/MCP.

Budget to first token
5

Speak the reply

ElevenLabs or Cartesia Sonic answers in a natural, branded voice, in the caller’s language.

Budget ~75–150 ms first audio
6

Resolve, transfer, or log

The agent resolves the call, warm-transfers to a human with full context when needed, and logs the outcome to your CRM.

Continuous

End to end, the agent’s full spoken reply lands in under 800 ms — the rhythm a caller expects from a person, not a robot.

Architecture

The call-agent stack we assemble

Telephony at the edge, a tuned voice pipeline in the middle, and your systems behind it — that is what turns a voice demo into an agent that takes real calls.

Layer
What we build
Telephony
Twilio Voice, Telnyx, FreeSWITCH, LiveKit SIP — inbound/outbound, PSTN, your numbers, DTMF
Turn-taking
Semantic turn detection, barge-in, endpointing tuned for phone audio
STT
Deepgram Nova-3 / Voice Agent, Whisper — streaming, phone-robust
LLM & orchestration
gpt-realtime, Gemini Live, Claude; Vapi / Retell / Pipecat where they fit
Voice
ElevenLabs Turbo/Flash, Cartesia Sonic — branded voices, per language
Tools & data
CRM, booking, lookups via tool/function calling + MCP; RAG over your knowledge
Escalation
Warm transfer to human agents with full context, fallback rules
Compliance & ops
Your cloud, SOC 2 / HIPAA patterns, call recording with consent, dashboards
Use cases

AI call work we have shipped

Enterprise

Phone agents at scale

Nucleus runs AI phone agents handling 600M+ call minutes a month for 5,000+ businesses, on WebRTC + SIP, SOC 2 / HIPAA / GDPR.

Concierge

Concierge call handling

Lujo pools WhatsApp and phone into one queue, handles inbound calls, and transfers to specialists — 24/7 AI-assisted concierge.

Voice AI

Voice assistant pipeline

A voice-to-text-to-voice AI assistant (ChatGPT + Azure) with multi-turn, contextual follow-ups.

Support

Call deflection

An inbound agent that answers FAQs, looks up account state, and transfers to a human with context when it cannot resolve.

Sales

Outbound qualification

An outbound agent that qualifies leads, books meetings, and logs the call to your CRM.

Coverage

After-hours & overflow

An agent that covers nights, weekends, and call spikes so no call goes to voicemail.

Build vs Buy

A voicebot platform, or a custom call agent

A managed voicebot is the fastest way to a phone demo. A custom agent is how calls become a real channel — your telephony, your systems, your data, and a per-call cost that drops as you grow. Here is the split.

Control & integrationlowhighOwnership & cost-per-callVoicebot platformHuman call centerCustom AI call agent(Fora Soft)
Figure 2: Value axes, not scale. A custom agent wins on control, integration, and per-call economics — and the cost per call falls as volume grows.
Use a voicebot platform when
You want a phone demo this week and call volume is low
A templated flow covers your calls
You are fine with their telephony, their models, and their servers holding call data
Right when: the phone is a side experiment, not a core channel.
Build custom when
The agent must use your CRM, your booking, your rules — not a templated flow
Per-minute platform billing bites as call volume grows
Calls and recordings must live in your cloud (SOC 2, HIPAA)
You want to pick and tune the models, voices, and telephony
At any size — owning the agent pays off from your first hundred calls, not only at call-center scale
Right when: the phone is a real channel for your business — a production agent live in 6–8 weeks.

Keep humans on the high-value calls; let the agent take the rest. The free MVP planning below proves the latency on a real number first.

How we work

Four ways to bring us in

Pricing

Starting points, not size caps

Fixed-scope starting points for an AI call agent. Each is a floor you build up from.

Voice Agent Pilot
from $8K
~2–3 weeks
  • One agent, one number
  • Core flow: answer, qualify or book, transfer
  • Your top tools
  • A production-ready pilot taking real calls
Start a pilot
Most teams start here
Production Call Agent
from $16K
~3–6 weeks
  • Inbound + outbound
  • Full CRM/tool integration
  • Warm transfer, multilingual
  • Dashboards, deployed
Scope a build
Scale & Contact-Center
from $32K
~6+ weeks
  • High call concurrency, multi-number
  • Queue integration + analytics
  • SOC 2 / HIPAA patterns
  • Human-in-the-loop console
Plan for scale

Telephony minutes and model/usage (STT, LLM, TTS) are billed at provider rates — no per-minute markup from us. We forecast them in the estimate.

Free for qualified projects

Three ways to de-risk before you commit

Before the build, we will map the call flows and prove the latency on a real number.

Why Fora Soft

AI on the phone, at telecom scale

We have built AI phone agents that run at hundreds of millions of call minutes a month, on a national telecom network — not a demo line.

Track record

Since 2005, 250+ projects

Two decades of real-time voice and telephony.

At scale

Proven at 600M+ minutes

Nucleus runs AI phone agents at 600M+ call minutes a month for 5,000+ businesses; Lujo handles concierge calls 24/7.

Full loop

The whole loop, named

Telephony, turn-taking, STT, LLM, voice, transfer — Twilio, Telnyx, SIP, Deepgram, gpt-realtime, ElevenLabs — built in-house.

Latency

Under a second

Sub-800 ms full reply with barge-in, so callers do not feel they are talking to a machine.

Your systems

It uses your stack

CRM, booking, and lookups over tools and MCP, with warm transfer to humans.

Ownership

You own it

Your code, your numbers, your call data, SOC 2 / HIPAA patterns. No per-minute platform tax.

FAQ

AI call agents, answered

The questions teams ask before they put an AI agent on the phone. The same answers power this page’s FAQ schema.

What is an AI call agent?

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How fast does it reply?

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Can it handle interruptions?

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Which telephony does it use?

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Can it use our CRM and book appointments?

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Can it transfer to a human?

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Which models and voices can it use?

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How is this different from a LiveKit AI agent?

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Is it compliant for healthcare or regulated calls?

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What does it cost and how long does it take?

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Further reading

Go deeper on voice AI agents

Ready to let an AI agent answer the phone?

Tell us the calls — inbound, outbound, the tools it needs. We will map the flow, pick the models, and give you a timeline and a number — in one call. Building a web, video, or multimodal agent instead? See LiveKit AI agents.

Specialist software house for video, real-time and AI products. Founded 2005. 50 in-house engineers.

+1 (914) 775-5855
New York · USA
© Fora Soft, 2005–2026
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