QA for LLM products
done right

Empower tech and non-technical teams to test your LLM apps and ship reliable products faster.

Backed and built by people from:

Reduce time to market

Accelerate LLM app development cycle in up to 45 days.

“With Ottic, I got stuff done in minutes that would've taken weeks.”
Lucas Rodrigues
Lucas Rodrigues
Data Scientist - CTO at Clipping

Seamless Collaboration

Empower tech and non-technical teams through a collaborative and friendly UI.

“Non-technical stakeholders are more easily able to plug themselves into prompt engineering and monitoring.”
Maverick Ventures
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Full visibility & safeguards

Gain full visibility into your LLM application's behavior with comprehensive test coverage.

“The global average cost of a data breach in 2023 was USD 4.45 million, a 15% increase over 3 years.”
IBM
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Features

A 360º view of your QA process

Prompt Management

Visually manage prompts

Get rid of hardcoded prompts. Create, manage, and track prompts effortlessly. Bridge the gap between technical and non-technical team members, ensuring seamless collaboration in prompt engineering.

End-to-end test management

Cover any real-world scenario and build a comprehensive test suite. Break-down test cases into granular test steps and detect regressions in your LLM product.

Test Management

Comprehensive LLM evaluation

Run tests by sampling and optimize your budget. Drill down on what went wrong to produce more reliable LLM apps.

LLM Evaluation
LLM Monitor

Monitor and understand
users behaviour

Gain direct visibility into how users interact with your app in real time. Add chat sessions to your dataset and enhance your test suite.

Your trusted partner
Enterprise-ready

We help you scale QA for LLMs
across your organization.

Shared Slack Channel

Boost productivity through direct access to support and expertise.

Single Sign-On

Simplify access and enhance security with single sign-on capabilities.

Data Privacy and Integrity

Collaborate securely with granular permissions for users.

Work with your favorite tools

Integrations

Ottic connects with the tools your QA and Engineers uses everyday, right out of the box.

Integrations

See some of our
resources

Challenges of evaluating LLM apps

Challenges of evaluating LLM apps

Software testing is usually straightforward, following established methods. But when it comes to testing Language Model (LLM) apps, things get tricky.  Unlike regular software, which we can check with standard methods and tools, testing LLM apps brings new challenges and complexities to which most teams are ill-prepared to navigate. When it comes to evaluations and testing applications built on top of LLM, the traditional software QA playbook and tools fall short. There are lot of reasons for

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Building a test strategy to your LLM app

Building a test strategy to your LLM app

If you build (and don’t test), they will come (and churn)! There are many reasons why you should be serious about building a test strategy for your LLM app: * If you don’t find bugs, your customers or users will. * Post-release debugging is the most expensive form of development. * Buggy software hurts operations, sales, and reputation. There are various testing approaches available. Here are 3 principles for building a solid testing strategy for your LLM app: 1) Make it risk-focused.

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LLM leaderboards: potentials and limitations of public benchmarks

LLM leaderboards: potentials and limitations of public benchmarks

It has never been easier to build on top of a LLM. But it has never been HARDER to conduct Quality Assurance (QA), measure performance, and actually IMPROVE what you’ve built on top of it. In 2023, we've seen a proliferation of Large Language Model (LLM) releases. With each bragging superiority of their performance, makes it harder to filter true progress made in the field and which is the current winner by impressive claims about their performance. Not to mention some other highlights not inc

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See blog

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