An AI Model Trained Exclusively on Your Business Operations.
Stop relying on generic LLM wrappers that hallucinate prices and struggle with local dialects. We curate your historical customer conversations, sanitize sensitive data, and fine-tune private domain models that understand your exact services, staff tone, and operational workflows.
Generic LLM Wrapper vs. Neurvyn Custom Domain Model
Off-the-shelf chatbot wrappers treat your business as a prompt footnote. Our custom training embeds your business rules directly into the model weights.
| Capability | Generic AI Wrapper (ChatGPT / Gemini API) | Neurvyn Custom Trained Model |
|---|---|---|
| Domain Accuracy | Generic knowledge; hallucinates unverified pricing & slot protocols | Trained directly on historical staff dialogues, verified pricing & closed deals |
| Linguistic Flow | Stiff, literal translation across Indian languages | Native Marathi, Hindi, Hinglish, and English vernacular fluency |
| WhatsApp Tool Calling | Prone to JSON syntax drops and misfiring interactive components | Fine-tuned natively on WhatsApp interactive buttons, lists, and booking slots |
| Data Sovereignty & Privacy | Conversations pass through public third-party multi-tenant contexts | Private model weights and isolated database partition owned by your business |
| Inference & Prompt Costs | Expensive token usage on 15,000+ character system prompts | Compact, domain-aligned model adapter running at consistent low latency |
The 4-Stage Operational Training Pipeline
A production-proven training cycle that converts unstructured WhatsApp chat history into a deterministic, tool-calling operational asset.
Dataset Mining & PII Scrubbing
We securely ingest 5,000 to 50,000 historical WhatsApp or CRM conversations. Automated sanitization strips phone numbers, customer names, and payment details before training.
Domain Supervised Fine-Tuning (SFT)
The base model is trained on verified dialogues, brand tone, catalog rules, and exact function-calling signatures for appointments, inquiries, and orders.
Operational Preference Alignment (DPO)
We optimize model outputs against completed bookings, verified orders, and customer satisfaction milestones to replicate your highest-performing staff members.
Shadow Benchmarking & Sovereign Serving
Before handling customers autonomously, the model runs in shadow mode against live conversations to verify real-world accuracy against historical baselines.
Built for High-Stakes Operations
When hallucinations cost money or client trust, custom model fine-tuning delivers guaranteed brand safety and workflow execution.
Clinics & Healthcare Chains
100% Protocol AdherenceReal Estate Developers & Brokerages
2 AM Lead Capture & Site VisitsAutomotive Garages & Service Hubs
Zero-Latency QuotationsB2B Wholesalers & High-Volume Retail
Instant In-Chat Order ClosesYour Data Stays Yours. Forever.
We treat your customer interactions as your proprietary competitive moat. Your conversations never leak into public foundation models, and the resulting adapter weights are solely your intellectual property.
Ready to evaluate your conversation data?
If you have 3,000+ past WhatsApp or CRM chats, our team will analyze your export for dataset cleanliness, top customer drop-off points, and expected accuracy gains.
No commitment · Feasibility report delivered within 48 hours