platoseedplatoseed
Dead simple LLM testing and iteration
Chatter is Postman for LLMs. Our platform helps companies and developers test their LLM models. Iterate on prompts, run them across model families and evaluate them against test cases – all in one place. With collaboration features, engineers can design LLM chains while QA can write test cases.
Chatter is a platform for building, testing, and versioning LLM deployments. It supports complex chains, evaluation, collaboration, and integration with code for faster iteration and prompt security.
Chatter provides a unified environment to create and test LLM deployments, including: building complex model chains with function calling and data manipulation, automatic evaluations across multiple metrics, versioned comparisons and viewer access for non-technical users, SDK code export, Jinja2 templating for in-prompt data transformations, Retrieval Augmented Generation (RAG) pipelines, document repositories, an API key vault with usage/cost tracking, analytics on calls (time, tokens, cost, performance), observability into chain passes, a function builder for library-style function calls, and routing for multi-function, multi-prompt flows. It also supports chat testing with multiple roles, chat import, and targeted evaluations on specific messages. The platform emphasizes isolating iteration from code, enabling faster, more secure prompt development.
Who it’s for: Teams and organizations building and evaluating LLM deployments, including developers, researchers, product teams, and non-technical stakeholders involved in testing and validating prompts and model behavior.
Hiring/traction not explicitly stated; presence of enterprise features and a Try It Free option suggests active product development and potential customer validation.
I'm the Co-founder/CEO of Chatter (S23). Interested in AI/ML and robotics. Studied CS + Robotics @ UPenn
Building Paragon to bring modern AI to the most important businesses in America.
The Chatter platform helps companies and developers test their LLM models.
Chatter announces a platform that helps companies and developers test and iterate LLMs, offering multi-model support, LLM chaining, prompt templating, test case creation, automatic evaluation, versioning, and collaborative workspaces for QA and domain experts.
From the original launch (Aug 2023) — may be outdated.
Formerly “Cram” · why startups rename →
Know what your LLM is doing — and why it’s failing
Open source LLM engineering platform
