Product updates, engineering deep dives, and announcements from the team.
This autumn, European gas climbed past anything our power price models had ever seen. We replayed the season through JITM Evergreen, day by day, to see what it would catch, what it would fix, and what it could not fix on its own.
Read moreEvery model starts going stale the day it ships. JITM Evergreen keeps your prediction endpoint in step with the real world: same URL, no redeploys, and nothing changes without your approval.
Read moreWe put JITM.ai up against two of the most respected open-source AutoML systems on the short-term direction of Bitcoin. Same data, same features, same hold-out. Here is how it went, including the honest caveats.
Read moreJITM.ai Pro now trains four model families in parallel and learns how to combine them into a single prediction endpoint. Connect any MCP-compatible LLM, hand it a CSV, and let it build the model team for you.
Read moreConnecting an AI agent to JITM.ai now takes exactly one step: paste the URL. OAuth handles the rest. No tokens to generate, no config files to edit, no secrets to rotate.
Read moreEvery Phase 2 model on higher tiers now draws from three different learning algorithms and combines the best from each. And when your data has a time dimension, JITM.ai now respects it automatically, so models don't learn by peeking at the future.
Read moreWe're launching JITM.ai: an AutoML platform that turns any CSV into a live prediction endpoint in seconds. Built for humans and AI agents alike.
Read moreJITM.ai now exposes its full ML pipeline as MCP tools. Any MCP-compatible agent (Claude, Cursor, GPT) can upload data, train models, and make predictions autonomously.
Read morePaid plans now get Phase 2 deep training: a second pass with a wider hyperparameter search, full dataset training, and ensemble support.
Read moreHow JITM.ai delivers sub-25ms inference with model caching and optimised feature pipelines.
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