Custom AI Chatbots Built by Cybersecurity Experts
Intelligent conversational AI trained on your proprietary data, deployed on your infrastructure, and secured with compliance controls for HIPAA, CMMC, and SOC 2. Your data stays on your servers, not OpenAI's.
What Makes Our Chatbots Different
Private, secure, and trained on your data instead of the general internet.
Intelligence Layer
- RAG-powered answers grounded in your verified documentation with source citations
- Natural language understanding with intent classification and sentiment analysis
- Multi-channel deployment: website, Teams, Slack, SMS, WhatsApp
- Confidence scoring with intelligent escalation to human agents
Security Layer
- Prompt injection defense and output sanitization by cybersecurity team
- PII detection and automatic redaction before data reaches the LLM
- End-to-end encryption with role-based access controls
- Comprehensive audit logging for HIPAA, SOC 2, and CMMC compliance
What We Build
LLM-powered chatbots with enterprise-grade security and deep system integration.
LLM-Powered Conversational AI
Chatbots on OpenAI, Anthropic, Google, or open-source models. We select the optimal model for your accuracy, latency, and data sovereignty needs.
RAG Integration
Retrieval-augmented generation that grounds every response in your verified documentation. No hallucination. See our RAG services.
Custom Training and Fine-Tuning
Chatbots trained on your SOPs, product catalogs, support histories, and industry terminology. Answers like your best employee.
CRM and Ticketing Integration
Deep API connections to Salesforce, HubSpot, ServiceNow, Zendesk, Epic, Cerner, and custom platforms with full audit trails.
Sentiment Analysis and Escalation
Real-time sentiment scoring detects frustration and routes to human agents with full conversation context. No repeated explanations.
Analytics Dashboards
Track resolution rates, CSAT, escalation patterns, and topic clustering. Feedback loops feed underperforming conversations into retraining.
Custom Chatbot vs. Off-the-Shelf
Data on Vendor Servers
Conversations processed on shared infrastructure. May be used for model training.
Generic Knowledge
Answers from general training data. No understanding of your products or processes.
Per-Seat Licensing
Monthly per-user fees that scale linearly. Vendor lock-in with no IP ownership.
Data on Your Servers
Full data sovereignty. Your conversations never leave your security perimeter.
Domain-Specific Accuracy
Trained on your documentation with RAG grounding. Verified answers with source citations.
You Own the Asset
One-time build plus optional managed service. No per-seat fees, no vendor lock-in.
How We Build Your Chatbot
Discovery and knowledge audit
Architecture design and NLU pipeline build
Training on your proprietary data
Security hardening and guardrails
Multi-channel deployment and integration
Continuous optimization and retraining
Frequently Asked Questions
How much does custom AI chatbot development cost?
Custom chatbot projects range from $15,000 to $150,000+ depending on scope, integrations, compliance needs, and deployment channels. Most clients see ROI within 60 to 90 days through reduced support costs and increased lead capture.
Can AI chatbots be HIPAA compliant?
Yes, when built with the right architecture. We deploy on private infrastructure with PHI-aware guardrails, encryption, access controls, audit logging, and signed BAAs. Off-the-shelf platforms cannot guarantee these controls.
How long does it take to build a custom chatbot?
Most projects deploy within 4 to 8 weeks. A focused customer support chatbot with RAG launches in 4 weeks. Multi-channel deployments with deep integrations take 6 to 8 weeks.
How do you prevent hallucinated answers?
We use retrieval-augmented generation to ground every response in your verified documentation. Confidence scoring evaluates each response, and the chatbot escalates to a human agent when it cannot find a reliable answer.
What is the difference between ChatGPT and a custom chatbot?
ChatGPT processes data on shared infrastructure with generic training data. A custom chatbot is trained on your knowledge base, deployed on your infrastructure, integrated with your systems, and hardened with compliance controls specific to your requirements.
Do you offer ongoing chatbot management?
Yes. Our managed service includes continuous performance monitoring, model retraining, knowledge base updates, analytics reporting, and proactive optimization recommendations to keep your chatbot improving every month.
Explore Our AI Solutions
Ready to Build a Secure AI Chatbot?
Stop paying per-seat for Copilot. Build your own secure chatbot with the cybersecurity team that has protected 2,500+ businesses with zero breaches.