Built on models that actually understand.
We integrate the best LLMs available — and tune them specifically on your business knowledge, tone, and policies.
What a custom AI assistant changes.
24/7 First-Line Support
Handle 70–80% of incoming questions automatically. Your human team fields only the conversations that actually need them.
Intelligent Lead Capture
Ask qualifying questions, collect contact details, and pass warm leads directly to your CRM — without a human in the loop.
Multilingual by Default
Modern LLMs understand and respond in 50+ languages. Serve international visitors without staffing a multilingual support team.
From prompt to production AI agent.
Knowledge Audit
We review your FAQs, product docs, support history, and tone-of-voice guidelines. This becomes the chatbot’s brain.
Personality & System Design
We craft the system prompt, escalation logic, and fallback flows. The bot knows what it knows — and when to hand off to a human.
Integration & Testing
Embedded on your website or connected to WhatsApp, Messenger, or Slack. Stress-tested with real-world edge cases before launch.
Tune & Improve
We review conversation logs monthly, identify gaps, and retrain the bot on new information. Your AI keeps getting smarter.
AI that knows your business.
Not a generic FAQ bot — a custom-trained assistant that speaks your brand voice and handles real conversations.
Trained on your knowledge base
We feed your documentation, FAQs, product info, and policies into a retrieval-augmented system. The bot answers from your data — not hallucinations.
Returns are accepted within 30 days of purchase. Items must be unused and in original packaging. Free return shipping on all orders.
Why choose SintelLogic.
Custom-trained, not generic
Your bot knows your products, policies, and tone of voice.
RAG architecture
Retrieval-augmented generation for accurate, grounded answers.
Multi-channel deployment
Website, WhatsApp, Messenger, Slack — deploy anywhere users are.
Continuous improvement
Monthly conversation reviews and retraining on new data.
