Applied AI

Your data, put to work

We build AI into real products, not demos. Retrieval systems, voice assistants, and intelligent tooling, designed, shipped, and supported in production.

What we build

AI built into real products

Data
Retrieval-Augmented Generation (RAG)
Subtitle
Grounding AI in your own data so answers are accurate and traceable, not hallucinated.
Voice & chat
Conversational and Voice Interfaces
Subtitle
From chat assistants to phone-based voice bots people can actually call.
Platform
Multi-Tenant AI Platforms
Subtitle
AI products built to serve many clients or teams from one secure, scalable system.
Tooling
AI-Powered Tooling
Subtitle
Internal or external tools like code review assistants that plug into your existing processes.
When Applied AI?

When to choose Applied AI

One trustworthy answer
Choose Applied AI when your data is scattered across systems and you need one trustworthy answer, not ten search results.
Calls handled well
Choose Applied AI when a phone call is still the easiest way for your customers to get help, and you want that call handled well.
A secure space per client
Choose Applied AI when you are serving multiple clients or teams from a single platform and each one needs their own secure space.
Time back from code review
Choose Applied AI when your team spends more time reviewing code than writing it, and you want that time back.
Technologies

The stack behind our AI

Foundation Models (LLMs)
OpenAI · Anthropic · Gemini
Enterprise Cloud & Providers
Azure OpenAI Service · AWS Bedrock · Pipecat Cloud
Vector Databases & Retrieval
Pinecone · pgvector
AI Frameworks & Orchestration
PydanticAI · LangChain
Voice & Conversational AI
Pipecat · Twilio · Deepgram · ElevenLabs
Observability & Monitoring
Langfuse · Pydantic Logfire

AI that ships, not AI that impresses in a demo.