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Axflow

Tools for product teams building AI applications

Axflow helps you improve your AI app faster. Product teams building AI apps need new tools to troubleshoot, experiment, and improve their products without playing whack-a-mole with regressions Our tool is hyper focused on leveraging production data as "experience" to make sure your system gets smarter over time. For this, we provide: • Best-in-class collaborative prompt playground (support for openAI tools, multi-modality, and top-notch UX) • Prompt management • Tool management • Scenarios: to build confidence that your prompts work in not one, but all of the edge cases you've seen, you need to run them against a dataset of known examples. Our platform allows you to run such evaluations and iterate very quickly after detecting any undesired behaviors or developing intuitions. • An open-source SDK to easily build your apps and ingest data into the Studio Learned from our experience working on the ML platform at Cruise, our framework is designed for the new generation of AI product teams to build & operate their applications in production.

Axflow
Founded:2023
Team Size:2
Location:
Group Partner:Diana Hu

Active Founders

Nicholas Charriere

Currently founding Axilla: a TypeScript framework to build production AI applications. French & British, been a developer in the valley for 12 years in smaller & larger startups (Pinterest, Cruise). Generalist but most of my recent experience is in distributed systems / AI platforms, I am curious and optimistic. https://nicholascharriere.com

Nicholas Charriere
Nicholas Charriere
Axflow

Ben Reinhart

Software engineer and entrepreneur. Previously ML infra at Cruise, cofounder at Fam (acquihired by Nextdoor), and Groupon.

Ben Reinhart
Ben Reinhart
Axflow

Company Launches

tl;dr Axilla is a framework for the AI engineer of the future: a product-focused TypeScript developer. Axilla provides a family of modular libraries, which can be incrementally adopted, and together form an end-to-end opinionated framework for LLM development.

The team

Hey there 👋, we’re @Ben Reinhart and @Nicholas Charriere.

We first started working together on ML platforms at Cruise, a leading self-driving car company, where we spent 4 years on the ML platform team. This is also where we became great friends!

At Cruise, we’ve seen the productivity losses that result from a fragmented ML organization. We then spent years designing and building a standardized framework and personally experienced the productivity superpowers that resulted from the framework’s adoption.

🤨 The problem

An accelerating trend in the AI landscape is the shift from in-house model training to foundational models abstracted away behind APIs (chatGPT, Midjourney, llama2…).

A consequence of this trend is that AI teams are morphing from Python-focused data scientists to resemble typical product engineering teams: full-stack web developers increasingly coding AI applications in TypeScript.

We’ve spoken to a number of enterprise customers who’ve confirmed their product teams are now responsible for designing and launching new AI initiatives, especially ones involving LLMs. However, given how recent the explosion of LLMs is, these product engineers don’t yet have the tools to ship AI features quickly and with confidence.

💡 The solution

Axilla provides a family of modular and coherent libraries which together form an end-to-end opinionated framework for LLM development. It is aimed at TypeScript developers who want to build and operate production-grade AI applications.

It’s early, but in the last three weeks we launched our first two modules:

  1. axgen is focused on data ingestion and retrieval
  2. axeval is focused on continuous evaluation & quality monitoring

Next, we are excited to begin work on model serving and monitoring, which are two of our most critical components. Together, these integrate production data back into the continuous evaluation pipelines, enable enterprises to run open-source models internally, and allow developers to stop flying blind when it comes to their AI applications.

Demo

As part of our first release, we built a proof of concept that demonstrates how to build a “chat with your documents” application using axgen.

https://youtu.be/8KEbP7LL_sM

Asks

Try axilla today! It’s open source and available on npm. If you like it, give it a star ⭐️, and come join the conversation on twitter.

Are you a product engineer building AI applications (especially with TypeScript)? We’d love to chat!

YC Sign Photo

YC Sign Photo