
Conversational AI, customized
Enterprise-grade chatbots built with your data, language, and rules.
Why general bots fail
One-size doesn't fit all
Out-of-the-box chatbots lack:
What we build
Smart. Secure. Specialized.
Calsoft develops:

Tech stack & tools
Composable. Modular. Scalable.
| Layer | Tools |
|---|---|
| LLMs | GPT-4, Claude, Mistral, LLaMA2 |
| Orchestration | LangChain, Rasa, LlamaIndex |
| Embeddings | GTE, Cohere, BGE |
| Vector Stores | FAISS, Pinecone, Qdrant |
| Serving | vLLM, Docker, Streamlit, Web/Mobile APIs |
Enterprise controls
Trust built in
We implement:

Launch vertical chatbots 2x faster.

Business outcomes
From call deflection to revenue enablement
| Metric | Baseline | Post-Chatbot |
|---|---|---|
| Avg. response latency | ~6s | <2.5s |
| Hallucination rate | 25–35% | <5% |
| Ticket deflection | Low | 50–70% |
| Human escalation | High | ↓ 60% |
| CSAT score | Inconsistent | ↑ 4.5+ |
How to start
Launch your bot in 4 steps
Define Scope & Roles
Choose where the chatbot adds value—support, sales, HR, compliance, etc
Prepare Enterprise Knowledge
Curate internal documents, FAQs, workflows, logs for grounding.
Select Model & Guardrails
Pick LLMs, retrieval, tone, and safety layers tailored to domain.
Build, Test, Integrate
Deploy with API integrations, UI/UX embedding, and feedback loops.
