Deploy Your Fine-Tuned 235B Conversational AI to Production

Launch a philosophical AI companion with deep context retention, streaming responses, and multi-turn dialogue capabilities. Built for users who need coherent, memory-aware conversations that evolve naturally across dozens of exchanges.

PROBLEM

Deploying Large Language Models at Scale is Complex

Fine-tuned 235B parameter models require expert deployment knowledge. Managing LoRA adapter merging, FP8 quantization, streaming infrastructure, session memory, and mobile compatibility across production environments demands specialized technical expertise that's difficult to find and expensive to execute incorrectly.

SOLUTION

How It Works

Expert Model Deployment and Optimization

Merge LoRA adapters with your base Qwen3-235B model and quantize to FP8 for optimal performance on 4x H100 infrastructure. This eliminates the complexity of model preparation and ensures your fine-tuned model runs efficiently in production without sacrificing quality or speed.

Streaming API with Long-Context Memory

Deploy a production-grade streaming API endpoint supporting 2000+ token responses with 128K context window and 30-50 message exchanges. Your users experience natural, coherent conversations that remember and build upon previous exchanges, creating genuinely intelligent dialogue rather than isolated responses.

Complete Production Infrastructure

Integrate session persistence with Redis and PostgreSQL, implement cost management controls, and ensure mobile browser compatibility with sub-3-second response times. Your AI companion becomes a fully operational production system ready to serve real users with reliability and performance.

PROCESS

From kickoff to launch in weeks, not months

01/ Discovery

Week 1

We audit your workflows and interview you to extract your subject matter expertise. Your AI delivers excellent work because we train it on your expertise.

02/ Development

Week 2

We build your custom AI at startup speed, using our own AI. We run evaluations to ensure quality and consistency.

03/ Testing

Week 3

Your team deploys the AI and gives feedback. We polish and provide full documentation.