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Product trust takes months to build
- and one bad AI response to break

Product trust takes months to build - and one bad AI response to break

Product trust takes months to build - and one bad AI response to break

Teams are losing time, confidence, and customers to hidden friction in the AI development cycle. Get clarity before it’s too late.

Friction has a pattern

Friction has a pattern

It shows up in every stage of your feedback loop — from discovery to measurement.

Logs won’t show you where users struggle

Logs don’t reveal friction or failure points, leaving PMs blind to user struggles

Spreadsheets overwhelm your SMEs

Raw data with no direction leaves SMEs confused and unable to give meaningful feedback.

The tools you have can’t capture user emotion

They show activity, not frustration or drop-offs caused by poor AI interactions.

The tools you have can’t capture user emotion

They show activity, not frustration or drop-offs caused by poor AI interactions.

The feedback loop is disconnected

Customer drop-offs go unexplained while key voices stay out of the loop.

The feedback loop is disconnected

Customer drop-offs go unexplained while key voices stay out of the loop.

The feedback system for
modern AI teams

The feedback system for
modern AI teams

Verse shows you what's broken in your AI application and how to fix it

See fewer conversations—learn far more

Bring forward the most impactful conversations and the surrounding context, so you can quickly understand user experience quality and prioritize improvements.

Find issues fast, even if you’re not technical

Utilize a simple, intuitive interface for reviewing conversations, so you can quickly spot friction, understand user context, and share insights across your team.

See your agent improve with every iteration

Bring all your structured feedback together, so you can clearly track performance gains and watch user experience strengthen over time.

FAQ

Who is this for?

Verse is for product owners refining AI product performance and improving user outcomes. Built for production teams who've moved past prototyping and need a systematic way to connect user feedback, domain expertise, and engineering improvements.

Can I use this now?

We’re working with select teams in our beta period. Join the waitlist to get early access.

Why use Verse?

If right now you're: - Drowning in anecdotal feedback - Unable to replicate or reproduce issues, - Shipping changes blind - Arguing about what 'better' means

Is Verse right for my company/product?

People who’ve found success with Verse so far generally have: - An AI product in production with real users - Are getting feedback but struggling to act on it systematically - Tried building something like this between other tools and spreadsheets and it's a time sink - Multiple people need to provide input into your AI product

How is Verse different from other options?

We sit between your users and your AI, capturing the insights and user interactions most tools miss. We enable and drastically speed up the unglamorous work of manually labelling errors within your product and having that lead to product improvement. We are able to combine your expert knowledge with our AI to identify errors specific to your project that other fully automated solutions would miss

Where does Verse fit into my tech stack?

We complement products like Langfuse and Braintrust by solving the collaboration and workflow problems present, and provides a low barrier entry-point and natural first step to identifying issues in your AI product. Observability tools don't address systematically gathering, organizing, and validating feedback from stakeholders to guide engineering improvements.

Who is this for?

Verse is for product owners refining AI product performance and improving user outcomes. Built for production teams who've moved past prototyping and need a systematic way to connect user feedback, domain expertise, and engineering improvements.

Can I use this now?

We’re working with select teams in our beta period. Join the waitlist to get early access.

Why use Verse?

If right now you're: - Drowning in anecdotal feedback - Unable to replicate or reproduce issues, - Shipping changes blind - Arguing about what 'better' means

Is Verse right for my company/product?

People who’ve found success with Verse so far generally have: - An AI product in production with real users - Are getting feedback but struggling to act on it systematically - Tried building something like this between other tools and spreadsheets and it's a time sink - Multiple people need to provide input into your AI product

How is Verse different from other options?

We sit between your users and your AI, capturing the insights and user interactions most tools miss. We enable and drastically speed up the unglamorous work of manually labelling errors within your product and having that lead to product improvement. We are able to combine your expert knowledge with our AI to identify errors specific to your project that other fully automated solutions would miss

Where does Verse fit into my tech stack?

We complement products like Langfuse and Braintrust by solving the collaboration and workflow problems present, and provides a low barrier entry-point and natural first step to identifying issues in your AI product. Observability tools don't address systematically gathering, organizing, and validating feedback from stakeholders to guide engineering improvements.

Who is this for?

Verse is for product owners refining AI product performance and improving user outcomes. Built for production teams who've moved past prototyping and need a systematic way to connect user feedback, domain expertise, and engineering improvements.

Can I use this now?

We’re working with select teams in our beta period. Join the waitlist to get early access.

Why use Verse?

If right now you're: - Drowning in anecdotal feedback - Unable to replicate or reproduce issues, - Shipping changes blind - Arguing about what 'better' means

Is Verse right for my company/product?

People who’ve found success with Verse so far generally have: - An AI product in production with real users - Are getting feedback but struggling to act on it systematically - Tried building something like this between other tools and spreadsheets and it's a time sink - Multiple people need to provide input into your AI product

How is Verse different from other options?

We sit between your users and your AI, capturing the insights and user interactions most tools miss. We enable and drastically speed up the unglamorous work of manually labelling errors within your product and having that lead to product improvement. We are able to combine your expert knowledge with our AI to identify errors specific to your project that other fully automated solutions would miss

Where does Verse fit into my tech stack?

We complement products like Langfuse and Braintrust by solving the collaboration and workflow problems present, and provides a low barrier entry-point and natural first step to identifying issues in your AI product. Observability tools don't address systematically gathering, organizing, and validating feedback from stakeholders to guide engineering improvements.

Ready to begin?

Join our waitlist for early access to the beta program. Be one of the first to test our new product!

The feedback
system for AI teams

Verse is an AI-first workspace that helps teams understand, evaluate, and improve their AI agents

The feedback
system for AI teams

The feedback
system for AI teams