Harden your
GenAI Systems
with Synthetic Data
GenAI Systems
with Synthetic Data
Open-source evaluation framework and synthetic data generation pipeline
pip install
continuous-eval
Built by experts in reliable AI production
Modular
Evaluation
of Complex Systems
Programatically define your pipeline
and select metrics for each module
and select metrics for each module
Open Source Metric Library
Get started for free with 30+ open source metrics and evaluators.
Covers text generation, code generation, retrieval, classification, agents , and more.
Close-to-human Evaluators
Leverage user feedback data to train custom ensemble evaluators that are 90%+ aligned with human evaluation.
Find Problem Root Causes
Pinpoint where problems originate by measuring performance of each module in your pipeline.
From Prototype to Production
Get support throughout the GenAI application development lifecycle
- Prompt IterationModel SelectionRegression TestingBenchmarkingCI/CD IntegrationFine-TuningMonitoringFunctional TestingOnline EvaluationOffline Evaluation
Product Walkthrough
Trusted by Innovative AI Teams
YS
Yuhong Sun
Founder, Danswer AI
“Relari's custom generated synthetic dataset is the best real world representation we've seen! We use the data to stress test our enterprise search engine and guide key product decisions.”
NB
Nick Bradford
CTO, Ellipsis.dev
"We iterate much faster on our coding agents thanks to the granular metrics Relari offers! Through high-quality synthetic datasets, we can benchmark and validate our agent performance with ease.”
MS
Mike Sands
Senior Director of Product, Thoropass
“Relari has helped immensely by building a set of metrics and standards that we can use to quickly and automatically evaluate changes in our LLM pipeline."
Pricing
Ways to get started.
COMMUNITY
Ideal for individual developers, researchers, and those experimenting with GenAI products.
Free
