ADAPTIQ
Fine-tuning and RL orchestration — experiment plans, configs, code, and job specs for Llama, Qwen, and open models from 1B to 200B+. Chat only; you run on your stack.
Training AI
The training layer beneath the products.
ADAPTIQ for fine-tuning and RL orchestration — plus reasoning datasets, SFT datasets, and knowledge graphs for building capable models.
Beta
Models need more than prompts. They need reasoning traces that teach step-by-step thinking, instruction pairs for supervised fine-tuning, and knowledge graphs that ground answers in verified structure.
ADAPTIQ is the fine-tuning and RL orchestration line — plans, configs, and code for your training stack. Training AI also covers datasets and knowledge graphs. Sign in to browse. Use the form for custom dataset and KG partnerships.
What we build
Datasets and knowledge assets.
Reasoning Datasets
Curated reasoning traces and chain-of-thought examples for teaching models to think step by step.
SFT Datasets
Instruction and response pairs formatted for supervised fine-tuning across domains and tasks.
Knowledge Graphs (KGs)
Entity-relationship graphs that ground models in verified facts and domain ontologies.