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
Serve and Convert · Incoming call → intent → knowledge → action
1. Trigger
Incoming Call (SIP / VoIP)
Verifiable event that starts the pipeline. Zero assumptions.
- Deterministic ingestion in real-time.
- Turn detection (VAD) and audio normalization.
- In Outbound, injects structured context before dialing.
Small in size. Giant in precision.
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.
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.
- SOC2 Type II Compliant
- Private VPC Deployment
- 99.9% SLA