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:
- 01
Domain-specific vocabulary
- 02
Awareness of internal processes
- 03
Secure data boundaries
- 04
Regulatory response logic (e.g., HIPAA, PCI)
- 05
Industry tone, context, and task depth
What we build
Smart. Secure. Specialized.
Calsoft develops:
Tech stack & tools
Composable. Modular. Scalable.
| Layer | Tools |
|---|---|
| LLMs | Leading commercial and open-weight LLMs |
| 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:
Role-based access + chat session logging
Intent-level content filtering
Prompt injection prevention
Retrieval boundary enforcement
GDPR, HIPAA, and ISO compliance tagging
Integration with internal IAM and SSO systems
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
Scope your chatbot
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.
