AI & Automation Built On Real Production Experience, Not Just API Wrappers
A lot of "AI agencies" ship a thin wrapper around an OpenAI API call. Our team has integrated the Biobert model into live US medical health insurance claims processing — HIPAA-compliant, high-stakes, production NLP. If you need an AI system that actually holds up under real data and real compliance requirements, that's the level we build at.
What's Included
Custom Chatbots & AI Agents
Multi-turn conversational agents wired into your CRM, helpdesk, or internal tools — not a generic widget.
LLM Integrations
GPT, Claude, and open-source model integrations with proper prompt engineering, guardrails, and cost controls.
RAG Systems
Retrieval-augmented generation over your internal documents/knowledge base so answers are grounded in your data, not hallucinated.
Domain-Specific NLP
Specialized models like Biobert for healthcare/medical text — the same architecture powering our health insurance claims work.
Workflow Automation
Automating repetitive back-office processes (data entry, document parsing, ticket triage) end-to-end.
Our Process
Use-Case Audit
We identify where AI actually saves time vs. where it adds risk — not every process needs an LLM.
Prototype
A working proof-of-concept on your real data within the first sprint, before committing to full build.
Production Build
Hardened for edge cases, cost monitoring, and compliance (HIPAA/data residency where required).
Monitor & Iterate
Ongoing prompt tuning and model evaluation as usage patterns emerge.
Frequently Asked Questions
Do you build custom models or just use ChatGPT?
Both, depending on the problem. Many use cases are well served by GPT/Claude with good prompt design and RAG. For specialized domains like healthcare NLP, we've deployed domain-specific models like Biobert.
Can you make our AI system HIPAA/compliance-ready?
Yes — our Biobert healthcare insurance project was built specifically for US medical compliance requirements. We design data handling and hosting around your regulatory needs.
What if the AI gives wrong answers?
We build RAG pipelines grounded in your actual documents rather than relying on model memory, plus guardrails and human-review fallbacks for high-stakes decisions.
How much does an AI integration cost?
A scoped chatbot/automation project typically starts as a fixed-fee pilot; larger RAG or domain-model builds are quoted after a use-case audit call.