AI evaluation and observability for enterprises

From ML to LLMs, test, monitor, and govern AI systems.
Catch issues early, keep a watchful eye in production, and create best-in-class AI.

Pushing new version of the AI system...

Katherine Johnson committed just now

eBay

0 of 4

Waiting...

Optimal F1 and precision

Waiting

LLM accurately summarizes context

Waiting

Prevent fake product prompts

Waiting

P99 latency < 5000ms

Waiting

Waiting for results...

Pushing new version of the AI system...

Dorothy Vaughan committed just now

EnvironmentDevelopment

Hurb

0 of 4

Waiting...

Outputs do not contain PII

Waiting

Surface diverse recommendations

Waiting

Time-to-first-token < 100ms

Waiting

Ensure answers in PT-BR

Waiting

Waiting for results...

Waiting for requests to the deployment...

Mary Jackson deployed just now

EnvironmentProduction

Cutshort

0 of 4

Waiting for requests...

Context precision > 0.9

Waiting

Outputs are in JSON

Waiting

LLM score avoids discrimination

Waiting

Average latency < 0.5s

Waiting

Cutshortreceiving real-time requests

Trusted by top AI teams

Development

From prototype to production. Safely.

Openlayer supports you from day one, ensuring a smooth transition from prototype to production through ongoing testing.

Monitoring

Monitor production requests with ease

Observe and monitor your AI systems in real-time with Openlayer. Catch issues in production and fix your AI within a matter of minutes.

Openlayer

@avaleft a comment onOutputs relevant to user question— Made...

Requests

DateMay 30, 8:00 PM

Value1017

ShowingTotal

Time intervalMonthly

Intervals12

Activity log

Test created

a week ago

Outputs relevant to user question

Commented

30 min ago

@caleb should we revert the latest changes?

Commented

30 min ago

This was expected @ava — please take a look

Commented

3 min ago

Understood — I reviewed the underlying rows and looks like we're all clear

Test created

a week ago

Outputs relevant to user question

Commented

30 min ago

@caleb should we revert the latest changes?

Commented

30 min ago

This was expected @ava — please take a look

Commented

3 min ago

Understood — I reviewed the underlying rows and looks like we're all clear

Test created

a week ago

Outputs relevant to user question

Commented

30 min ago

@caleb should we revert the latest changes?

Commented

30 min ago

This was expected @ava — please take a look

Commented

3 min ago

Understood — I reviewed the underlying rows and looks like we're all clear

Openlayer

Deployment status changed to

Ready to deploy

forCutshort

Outputs relevant to user question

ThresholdAnswer relevancy > 0.95

Evaluation window24h

Status

Passing

Result0.98

Openlayer

Test status updated to

Failing

forNo PII leaked in agent outputs

Request details

USER_CALLquery

2.06s,$0.05

USER_CALLretrieve_context

0.00137s

USER_CALLprepare_prompt

<0.001s

USER_CALLquery

2.06s,$0.05

USER_CALLretrieve_context

0.00137s

USER_CALLprepare_prompt

<0.001s

USER_CALLquery

2.06s,$0.05

USER_CALLretrieve_context

0.00137s

USER_CALLprepare_prompt

<0.001s

Platform

Designed for builders

Openlayer fits into your workflow without friction, allowing you to focus on what matters most: crafting high-quality systems with AI.

Outputs do not contain PII

Passing

Environments:

Development

Production

Objective: outputs should not contain personally identifiable information such as SSNs.

Responses are not harmful

Passing

Environments:

Development

Production

Objective: leverage a Ragas-based metric to measure the harmfulness of responses.

Low fraud false-positive rate

Passing

Environments:

Development

Production

Objective: validate the effectiveness of a model that identifies potentially fraudulent transactions in real-time.

Tests for any scenario

Openlayer offers an expansive set of customizable tests to help you make systematic progress and avoid regressions.

Credit score QArequests

Last request

Jun 7

Date

user_queryoutput

Jun 7 6:40:24 AMHow can I build credit?Building credit involves demonstrating responsible borrowing and repayment habits. Here are several strategies to help you build and maintain good credit:

Jun 7 6:40:21 AMDoes the score include income in its calculation?No, your credit score does not include your income in its calculation. Credit scores are derived from the information in your credit report, which includes:

Jun 7 6:40:19 AMWhat is a score ingredient?Context not relevant

Jun 7 6:40:16 AMWhat's the minimum score needed for a conventional loan?The minimum credit score needed for a conventional loan typically ranges from 620 to 640. However, this can vary depending on the lender and other factors such as your debt-to-income ratio, down payment amount, and overall financial situation. It's always best to check with individual lenders for their specific requirements.

Jun 7 6:40:14 AMWill my credit score change much over time?Yes, your credit score can change over time due to various factors. Here are some key aspects that can influence the fluctuations in your credit score:

Jun 7 6:40:12 AMWhat's my credit report?Your credit report is a detailed record of your credit history prepared by a credit bureau. It includes information about your borrowing and repayment activities and is used by lenders, landlords, and other entities to assess your creditworthiness. Here's what typically appears on a credit report:

Jun 7 6:40:24 AMHow can I build credit?Building credit involves demonstrating responsible borrowing and repayment habits. Here are several strategies to help you build and maintain good credit:

Jun 7 6:40:19 AMWhat is a score ingredient?Context not relevant

Observability

Trace and track all your system's requests in real-time, annotate these requests with human feedback for better insights and run tests on live data to ensure robustness and reliability.

Projects

GET

List projects

POST

Create project

Development

GET

List project commits

GET

List commit test results

Monitoring

POST

Create inference pipelines

GET

List inference pipelines

POST

Publish inference

DELETE

Delete inference pipeline

PUT

Update inference pipeline

GET

Retrieve inference pipelines

PUT

Update inference

GET

List pipeline test results

Your favorite tools

Openlayer integrates with Git, has SDKs in your favorite programming languages, and works out of the box for every LLM provider. Fully customizable via a CLI and REST API, Openlayer fits any workflow seamlessly.

Test created

a week ago

Outputs relevant to user question

Committed

a week ago

8461kfsInitial commit

Passing

Committed

a week ago

1241cgeImprove custom...

Passing

Committed

30 min ago

2384cedUpdate cart ex...

Failing

Committed

12 min ago

33d563aImprove context db

Passing

Test created

a week ago

Outputs relevant to user question

Committed

a week ago

8461kfsInitial commit

Passing

Committed

a week ago

1241cgeImprove custom...

Passing

Committed

30 min ago

2384cedUpdate cart ex...

Failing

Committed

12 min ago

33d563aImprove context db

Passing

Collaboration

Collaborate effortlessly with your team in a shared workspace. Assign roles, define tests, and debug issues together, ensuring all stakeholders are aligned.

Openlayer is trusted by leading organizations to enhance their development and operational efficiency for accuracy, scalability, and seamless integration.

“Openlayer is building the critical infrastructure for the safe deployment of AI at planetary scale.”

Guillermo RauchFounder & CEO of Vercel

“The Openlayer team deeply understands the challenges faced by the ML community. Their platform is the best way to streamline the evaluation and analysis of models to drive continuous improvement in AI.”

Max MullenFounder of Instacart

“I've witnessed first-hand the critical importance of error analysis in the world of machine learning. The Openlayer platform can save countless debugging hours and significantly improve model performance for data scientists worldwide.”

Mark BelvedereData Science Director at Meta

“Debugging error cases is the highest leverage way to improve ML systems. Openlayer makes it easy to debug those cases and, more importantly, helps fix them as well. I highly recommend using it in all ML workflows”

Gautam KediaApplied ML Leader at Stripe

Impact

Openlayer in action

See how Openlayer helps teams across different industries ship AI with confidence.

Tests Jericho created

1 of 3

Phishing message hides AI source

Passing

Environments:

Development

Production

Objective: ensure that phishing messages do not disclose they are generated by AI, maintaining authenticity, effectiveness, and user deception.

Avoid urgency or threat claims

Passing

Environments:

Development

Production

Objective: ensure messages avoid making exaggerated urgency claims or threats, keeping communication clear and credible.

Human feedback score > 0.85

Passing

Environments:

Development

Production

Objective: validate that human feedback scores consistently exceed 0.85, ensuring high user satisfaction, trust, and engagement.

78%

RevenueWe observed a sharp increase in revenue from Q4 2023 to Q1 2024 after implementing Openlayer monitoring features

Deployment frequencyWe saw a 6x increase in deployments and a 53% increase in throughput (no. of PRs merged into production)

Templates

Get started in seconds

Pick a template to accelerate your setup. Templates are sample projects with common AI patterns. They come pre-configured with all sorts of relevant tests.

PDF extractionLangChain with Python

Create a resume processing pipeline using LangChain and Python

Generative

Python

Question-answering retrievalRAG with Python

Create a RAG pipeline for question-answering using Azure OpenAI and Python

Generative

Python

Structured outputsInstructor and Claude with Python

Create an AI with structured outputs using Claude, Instructor and Python

Generative

Python

Simple chatbotOpenAI with Python

Create your own simple chatbot using OpenAI and Python

Generative

Python

Simple chatbotLangChain with Python

Create your own simple chatbot using LangChain and Python

Generative

Python

Simple chatbotOpenAI with TypeScript

Create your own simple chatbot using OpenAI and TypeScript

Generative

TypeScript

Churn predictionSci-kit learn with Python

Evaluate a tabular classification model that predicts user churn

Tabular classification

Python

Diabetes predictionSci-kit learn with in Python

Evaluate a regression model that predicts diabetes based on medical data

Tabular regression

Python

AI evaluation and observability for enterprises

From ML to LLMs, test, monitor, and govern AI systems.
Catch issues early, keep a watchful eye in production, and create best-in-class AI.

Trusted by top AI teams

Development

From prototype to production. Safely.

Openlayer supports you from day one, ensuring a smooth transition from prototype to production through ongoing testing.

Monitoring

Monitor production requests with ease

Observe and monitor your AI systems in real-time with Openlayer. Catch issues in production and fix your AI within a matter of minutes.

Platform

Designed for builders

Openlayer fits into your workflow without friction, allowing you to focus on what matters most: crafting high-quality systems with AI.

Openlayer is trusted by leading organizations to enhance their development and operational efficiency for accuracy, scalability, and seamless integration.

Impact

Openlayer in action

See how Openlayer helps teams across different industries ship AI with confidence.

Templates

Get started in seconds

Pick a template to accelerate your setup. Templates are sample projects with common AI patterns. They come pre-configured with all sorts of relevant tests.

Stop guessing. Ship with confidence.

The automated AI evaluation and monitoring platform.

.css-1mr4k8e{-webkit-background-clip:text;-webkit-text-fill-color:transparent;background:linear-gradient(180deg, #592FEA 0%, #7A58EE 100%);-webkit-background-clip:text;background-clip:text;text-shadow:0px 4px 36px rgba(91, 47, 234, 0.80);}AI evaluation and observability for enterprises

From ML to LLMs, test, monitor, and govern AI systems.Catch issues early, keep a watchful eye in production, and create best-in-class AI.

Trusted by top AI teams

Development

From prototype to production. Safely.

Openlayer supports you from day one, ensuring a smooth transition from prototype to production through ongoing testing.

Monitoring

Monitor production requests with ease

Observe and monitor your AI systems in real-time with Openlayer. Catch issues in production and fix your AI within a matter of minutes.

Platform

Designed for builders

Openlayer fits into your workflow without friction, allowing you to focus on what matters most: crafting high-quality systems with AI.

Impact

Openlayer in action

See how Openlayer helps teams across different industries ship AI with confidence.

Templates

Get started in seconds

Pick a template to accelerate your setup. Templates are sample projects with common AI patterns. They come pre-configured with all sorts of relevant tests.

Stop guessing. Ship with confidence.

The automated AI evaluation and monitoring platform.

AI evaluation and observability for enterprises

From ML to LLMs, test, monitor, and govern AI systems.
Catch issues early, keep a watchful eye in production, and create best-in-class AI.