Not a Voice-Enabled GPT. Specialized Language Models.

Trained on real calls to execute processes with low latency, business knowledge, and auditable actions, while keeping data secure.

Control
Bounded responses by use case + policies.
Consistent Latency
Stable times and fluid UX in voice.
Zero Hallucinations
Missing data? Ask or handoff.
Validated Actions
Tool calls with schema and deterministic execution.

How it Works

Click on each block. You'll see what it is, how it works, and why we are different.

Serve and Convert · Incoming call → intent → knowledge → action
Inference Engine
Example: Restaurant Reservation
Running Sequence
Click nodes to view details
1. Trigger
Incoming Call (SIP / VoIP)
What is it

Verifiable event that starts the pipeline. Zero assumptions.

How it works
  • Deterministic ingestion in real-time.
  • Turn detection (VAD) and audio normalization.
  • In Outbound, injects structured context before dialing.

System Logs

System Logs
LIVE
Waiting for events...
System Status: Online
The SLM Advantage

Small in size.
Giant in precision.

Architecture
Domain-Specific SLM

While GPT-4 tries to be a poet and a mathematician at once, our SLMs are trained exclusively for customer service. This allows us to:

Millisecond Latency

Inference optimized for human voice. Without the "awkward silences" of massive models.

Deterministic Precision

Zero hallucinations. The model only acts under your company's rules and data sources.

Privacy by Design

Your data doesn't train global models. Total isolation in controlled environments.

Predictable Costs

Radical computational efficiency. Massive scalability without depending on variable token costs.

Deterministic Pipeline · No operational hallucinations · Validated Actions

IVR vs LLM vs SLM specialized

The difference between a viral demo and an enterprise product is reliability. Generic LLMs are creative but unpredictable. InfOne is predictable, and robust.

Enterprise Ready

  • SOC2 Type II Compliant
  • Private VPC Deployment
  • 99.9% SLA
LEGACY IVR
Decision Engine
Static Tree (DTMF)
Error Handling
Infinite Loop / Hang Up
Latency (Voice)
Immediate (pre-recorded)
Data Security
High (no free text processing)
GPT WRAPPER
Decision Engine
Generic LLM (GPT-4) with prompt
Error Handling
Creative Hallucination / Generic Apology
Latency (Voice)
Variable (1.5s - 3s) 'Thinking...'
Data Security
Opaque (data travels to public API)
INFONE SLM
Decision Engine
Specialized SLM + State Machine
Error Handling
Policy-Based Guided Recovery
Latency (Voice)
Real-time (< 600ms end-to-end)
Data Security
Private (Isolated Deployment/VPC)
Enterprise Standard