Riften

Route queries across language models, run evaluations, and train private models for specific tasks

Pricing model

Paid

Rating

★ People love it

Time to value

Requires Expertise

You can use Riften to manage and evaluate language models while building custom machine learning systems. It lets engineering teams set up model routing so user requests automatically reach the best model for cost and performance. You can run systematic evaluations to measure model accuracy, benchmark different options, and train private models on proprietary data. Riften also provides simulated environments where autonomous agents train on realistic workflows, helping organizations test, refine, and deploy AI infrastructure securely without relying entirely on generic third-party providers.

What Riften does

Configure routing rules across different language model providersRun evaluation suites against real-world prompt datasetsFine-tune open-source models with company-specific dataMonitor model response latency and token costs in real timeBuild simulated sandbox environments for autonomous agentsCompare benchmark scores across multiple model versionsDynamic model routing based on cost, latency, and qualityAutomated evaluations to benchmark model performancePrivate model training and fine-tuning on proprietary dataRealistic environments for training autonomous agentsCentral dashboard for monitoring model metrics and usageCustom test suites for validating prompt changes and outputs