Announcing $8M in Series A funding
Intuitive evals for intelligent applications
Test generative AI across teams. Automate evaluation for reliable LLM products and agents.
The LLM evaluation platform
for AI teams who care about quality
LLM products evolve daily. Homegrown eval pipelines don't.
Stakeholders can't contribute. So evals become stale, siloed in code.
Without reliable evals, teams can't make changes confidently, leading to LLM products that don't work well.
The first collaborative
LLM product testing environment
Gentrace provides a frontend for testing your actual application, enabling teams to write evals without siloing them in code.
Evaluation
Build LLM, code, or human evals. Manage datasets and run tests in seconds—from code or UI.
Experiments
Run test jobs to tune prompts, retrieval systems, and model parameters.
Reports
Convert evals into dashboards for comparing experiments and tracking progress with your team.
Tracing
Monitor and debug LLM apps. Isolate and resolve failures for RAG pipelines and agents.
Environments
Reuse evals across environments. Adopt the same architecture across local, staging, and production.
How customers
are using Gentrace
Use Gentrace
with your stack
Eval-driven development
Gentrace provides collaborative, UI-first testing
connected to your actual application code.
Enterprise scale & compliance
Self-host in your infrastructure
Role-based access control
SOC 2 Type II & ISO 27001
Autoscaling on Kubernetes
SSO and SCIM provisioning
High-volume analytics
Gentrace makes evals a team sport at Webflow. With support for multimodal outputs and running experiments, Gentrace is an essential part of our AI engineering stack. Gentrace helps us bring product and engineering teams together for last-mile tuning so we can build AI features that delight our users.
Bryant Chou
Co-founder and Chief Architect at Webflow
