Autonomous AI built for executing operations beyond just conversations
We build AI that operates on multi-step workflows, understand context and keeps your decision makers in the loop.
Where the Real Value Shows Up
LLM-Powered Conversational AI
AI that holds context, switches modalities, and responds like it understands your domain.
AI Agentic Workflows
Agents that plan, delegate, and execute across tools and APIs, without waiting for a human to move things forward.
RAG Pipelines
AI that answers from your data, not from what a foundation model was trained on two years ago.
AI Evaluation & Feedback Loops
AI that gets scored, corrected, and improved automatically so performance compounds instead of drifting.
Evaluation & Feedback agent
Scores output quality · Flags regressions · Feeds corrections back
Input Source
Audio
Voice
Text
Document
API trigger
Memory and Context Layer
TTS
Short-term session memory
Long-term knowledge retrieval
Output generation
Voice · Text · Structured data · Downstream API action
The Architecture Behind Our AI Projects
Custom orchestrator
Pipecat
Langchain
FastAPI worker
01
Pipeline Orchestration
The layer that coordinates every agent, tool call, and handoff in the system.
Llama (local)
Gemini
Chatgpt4
Claude
02
LLMs & Reasoning
We pick the model that fits the problem, not the one with the best marketing.
AssemblyAI
Cartesia
Whisper
ElevenLabs
03
Multimodal Processing
Speech-to-text, text-to-speech, and multimodal input handling across any interface.
PG Vector
Pipecone
Redis
PostgreSQL
04
Memory & Knowledge Retrieval
Session memory, long-term context, and RAG pipelines that ground AI in your data.
Daily (WebRTC)
Pipecat
Cloud
AWS
Lambda
Cloud run
05
Production-grade infrastructure that scales with load and stays observable in operation.