
DecisionBox Fine-Tuning
A model trained on your data that runs on your infra
DecisionBox Fine-Tuning launched on April 24, 2026 with 6 votes, #1,677 of 21,248 launches that month and more than 75% of that year's launches.
What it does
Autonomous AI discovery on your data warehouse, fine-tuned to your business; your schema, your terminology, and your analysis patterns. Training runs on your GPUs. Combined with Ollama, zero bytes ever leave your network — from the first query to the final finding.
DecisionBox captures every query, fix, and finding your agents produce. Export it and fine-tune open models — Llama, Gemma, Mistral, Qwen — that know your warehouse.
DecisionBox records everything the agent does — SQL queries, schema lookups, validation retries, errors and their fixes, every finding, every feedback thumb you've given. Export it, fine-tune an open model on it, and the next version of the agent knows your warehouse like a senior analyst does. Not just the findings that ship — the full trace. Eight distinct record types, all structured, all exportable. Every step of every run — explore, query, analyze, decide — with the agent's reasoning attached. Structured findings with severity, indicators, affected counts, and validation state. Priority, expected impact, target segment, and the numbered action steps behind each one. Which tables and…from decisionbox.io
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