Context.ai provides text analytics for LLM (Large Language Model) powered products. Context.ai helps users understand natural language in their LLM powered products.

Context

Context.ai provides evaluations and analytics for LLM applications 

Context.ai

Today we’re launching support for custom conversion events 🧾

This addresses one of the biggest challenges in the LLM ecosystem - proving ROI 📈

Context.ai 💬🔬 users can now log custom conversion events with their LLM conversation transcripts, indicating where users completed an action: a purchase, a link click, or even a negative event like an unsubscribe

We analyze conversion rates, identifying subgroups of conversations and users where conversion rates are relatively stronger or weaker

You can then use Context.ai 💬🔬 to investigate what is driving areas of weaker performance, address those issues, and measure the impact of your improvement

This allows you to prove the ROI of your product, as well as the ROI of improvements you make to it over time. It also allows you to see the ROI of Context.ai in clear dollar terms, in a way that has not previously been possible

Fresh batch of customer logos on the website 👨‍🎨

Who wouldn't want to join this esteemed bunch

The Rise of AI Agent Infrastructure.

The blistering pace of GenAI development means few assumptions hold true for long. One key change is the rise of AI agents: autonomous actors that can plan and execute multi-step tasks.

Today, AI agents — not direct prompts to the underlying model — are becoming a common interface that end-users encounter and even becoming a core abstraction that developers build upon. This is further accelerating how fast new apps can be built and is creating a new set of opportunities at the platform layer.

Apps are now being built in a new way that will impose new requirements on the underlying infrastructure. Those developers are speeding across a half-finished bridge. Their apps won’t achieve their full potential if our industry fails to support them lower in the stack with a new set of AI agent Infrastructure components. So let's get to work. 

We are pleased to share a view of the emerging AI infrastructure stack as it looks in June 2024. Also sharing some additional thoughts in the blog post linked below. Would love to hear from you if you're building in this area.

https://lnkd.in/efs_wJJy

We’re growing! I’m excited to welcome Matt Salisbury to Context.ai

Matt joins us as our first salesperson to help scale our GTM motion

We’ve seen great results from our engagements with Fortune 500 enterprises, tech unicorns, and exciting startups - and it's time to scale up our small but mighty team!

Reach out to Matt if you’re building LLM products and want to better understand how and why people are using them, how well user needs are being met, and where performance can be improved

We now support self-hosted deployment! 🏗️👷‍♂️

Are you desperate to understand how people are using your LLM product, but don’t want to share your transcripts with a third party for analysis? 🔐

Good news! You can now run the Context.ai product within your own cloud instance, without data leaving your control 💭

We’ve also recently improved transcript categorization to be significantly more accurate, and we support projects to allow separation of multiple LLM products within one team or company

Ready to test GPT-4o?

It's now live in Context.ai!

Test it in the playground, then perform rigorous evals and get it live to your users!

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