Ashr

Founded by Shreyas Kaps in 2025

Train, evaluate, and serve custom open-weight language models from your own data

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Ashr to curate your data, post-train open-weight models, and deploy them on your own infrastructure. It automates data preparation by turning logs, traces, and documents into clean training sets. The system executes fine-tuning and reinforcement learning runs within predefined budget caps. It also evaluates every checkpoint directly inside your target environment. Once trained, you can download model weights or serve them through standard API endpoints, ensuring complete ownership and control over your proprietary machine learning systems without complex setup.

What Ashr does

Curate production logs and traces into clean datasetsFine-tune open-weight base modelsRun reinforcement learning training runs with budget capsEvaluate candidate models within custom local environmentsExport and download model checkpoints and weightsServe models via OpenAI-compatible API endpointsPromote evaluated checkpoints to live inference endpointsAutomatic data curation from application traces, logs, and documentsPost-training support for both supervised fine-tuning and reinforcement learningPredefined budget and spend caps for model training runsEnvironment-specific evaluation to test model candidates before deploymentDirect ownership and download access to trained model weightsDrop-in OpenAI and Anthropic compatible inference endpointsForward-deployed engineer support for integrating directly into company stacksAutomated qualification checkpoints across every training recipe step