Not a Voice-Enabled GPT.
Son Specialized Language Models.
Trained on real calls to execute processes with low latency, business knowledge, and auditable actions, while keeping data secure.
How it Works
Click on each block. You'll see what it is, how it works, and why we are different.
System Logs
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 especializado
The difference between a viral demo and an enterprise product is reliability. Generic LLMs are creative but unpredictable. InfOne is boring, predictable, and robust.
Enterprise Ready
- SOC2 Type II Compliant
- Private VPC Deployment
- 99.9% SLA
| FEATURE | LEGACY IVR | GPT WRAPPER | INFONE SLM |
|---|---|---|---|
| Decision Engine | Static Tree (DTMF) | Generic LLM (GPT-4) with prompt | Specialized SLM + State Machine |
| Error Handling | Infinite Loop / Hang Up | Creative Hallucination / Generic Apology | Policy-Based Guided Recovery |
| Latency (Voice) | Immediate (pre-recorded) | Variable (1.5s - 3s) 'Thinking...' | Real-time (< 600ms end-to-end) |
| Data Security | High (no free text processing) | Opaque (data travels to public API) | Private (Isolated Deployment/VPC) |