Optimize your LLM and guarantee performance with 1-click

Optimize your LLM and guarantee performance with 1-click

Optimize your LLM and guarantee performance with 1-click

Empowering AI teams to ship 10x faster with quality assurance at every step



  • Measure: A scientific approach to LLM quality

  • Maximize: Automatically find the best prompt and models, leveraging Stanford’s DSPy framework

  • Easy: Drag and drop to collaborate with your team

  • Measure: A scientific approach to LLM quality

  • Maximize: Automatically find the best prompt and models, leveraging Stanford’s DSPy framework

  • Easy: Drag and drop to collaborate with your team

  • Measure: A scientific approach to LLM quality

  • Maximize: Automatically find the best prompt and models, leveraging Stanford’s DSPy framework

  • Easy: Drag and drop to collaborate with your team

Engineers who love to work with LangWatch

Engineers who love to work with LangWatch

Engineers who love to work with LangWatch

“This is so freaking cool! LangWatch has brought us our monitoring and evaluations with an intuitive analytics dashboard. The Optimization Studio brings the kind of progress we were hoping for as a partner."



“This is so freaking cool! LangWatch has brought us our monitoring and evaluations with an intuitive analytics dashboard. The Optimization Studio brings the kind of progress we were hoping for as a partner."



“This is so freaking cool! LangWatch has brought us our monitoring and evaluations with an intuitive analytics dashboard. The Optimization Studio brings the kind of progress we were hoping for as a partner."



Lane - GetGenetica

Lane - GetGenetica

Time spent on reliably going to production takes months, leading to lost competitive advantage

Uncertainty of AI performance

The non-determenistic nature of LLMs introduces significant risks when scaling applications to production, making quality assurance difficult.

Manual optimization process

AI teams spend countless hours tweaking prompts, model selection, vibe-checking to get the desired output. A non-reproducible process that creates a bottleneck in development.

Move from PoC to production

“How can I show our management team this is good and safe to put in production?”
The absence of a structured framework prevents many innovations from seeing the light of the day.

How LangWatch guarantees quality

The first platform that learns to evaluate just like you and find the right prompt and model for you

The first platform that learns to evaluate just like you and find the right prompt and model for you

Check the video above for a sneak peak into LangWatch

Measure performance while building at every step

Measure performance while building at every step

Evaluate your entire pipeline, not just prompts, allowing to build on top of very reliable parts, it’s like unit test for LLMs.

Evaluate your entire pipeline, not just prompts, allowing to build on top of very reliable parts, it’s like unit test for LLMs.

10x faster to get the best prompt & model

10x faster to get the best prompt & model

Using the techniques behind DSPy - our platform replaces manual work, and takes care of finding the right prompt or model in minutes instead of weeks.

Using the techniques behind DSPy - our platform replaces manual work, and takes care of finding the right prompt or model in minutes instead of weeks.

Easy & collaborative

Easy & collaborative

Bring your Legal, Sales, Customer, HR, Health, Finance or any other domain expert in the loop. Focus on coding, not prompting.

Bring your Legal, Sales, Customer, HR, Health, Finance or any other domain expert in the loop. Focus on coding, not prompting.

Deliver reliable quality and high-grade enterprise security

Deliver reliable quality and high-grade enterprise security

Explain the performance numbers, having evidence and reporting to bring to the compliance and business teams.

Explain the performance numbers, having evidence and reporting to bring to the compliance and business teams.

Build the dataset, evaluate and tweak your LLM pipeline in 1 place

  • Full dataset management to collaborate and set quality standards.

  • Create your own quality evaluator or use one of our 30+ off-the-shelf ones.

  • Measure quality, latency, cost, debug the messages and outputs.

  • Versioned experiments to keep track of best performing pipeline, prompts and models.

  • Full dataset management to collaborate and set quality standards.

  • Create your own quality evaluator or use one of our 30+ off-the-shelf ones.

  • Measure quality, latency, cost, debug the messages and outputs.

  • Versioned experiments to keep track of best performing pipeline, prompts and models.

“I’ve seen a lot of LLMops tools and LangWatch is solving a problem that everyone building with AI will have when going to production. The best part is their product is so easy to use.”

“I’ve seen a lot of LLMops tools and LangWatch is solving a problem that everyone building with AI will have when going to production. The best part is their product is so easy to use.”

“I’ve seen a lot of LLMops tools and LangWatch is solving a problem that everyone building with AI will have when going to production. The best part is their product is so easy to use.”

Kjeld O. - AI Architect, Entropical AI agency

Kjeld O. - AI Architect, Entropical AI agency

Why writing prompts yourself when AI can do that for you?

  • DSPy optimizers to automatically find the best prompt and few shot examples for the LLMs, including MIPROv2.

  • Drag-and-drop prompting techniques: ChainOfThought, FewShotPrompting, ReAct.

  • Compatible with all LLM models, just switch and let the optimizer fix the prompts.

  • Track optimization progress with LangWatch DSPy Visualizer.

  • DSPy optimizers to automatically find the best prompt and few shot examples for the LLMs, including MIPROv2.

  • Drag-and-drop prompting techniques: ChainOfThought, FewShotPrompting, ReAct.

  • Compatible with all LLM models, just switch and let the optimizer fix the prompts.

  • Track optimization progress with LangWatch DSPy Visualizer.

It doesn't stop there

LangWatch is a complete LLMops platform, integrated in any tech stack.


Monitor, evaluate and get business metrics from your LLM application, creating more data to iterate and measuring real ROI.

LangWatch

Monitoring

Monitoring

Debugging

Cost Tracking

Annotations

Alerts

Datasets

Monitoring, Cost, Alerts

LangWatch

Analytics

Topics, Events, Custom Graphs

LangWatch



Evaluations & Guardrails

Jailbreak Detection, RAG quality

LangWatch

Optimization Studio

Measure, Experiment, Optimize

Easy Integration into any tech stack

Supports all LLMs

OpenAI

Claude

Azure

Gemini

Hugging Face

Groq

Use your optimized LLM
flow as an API

Supports all LLMs

LangChain

DSPy

Vercel AI SDK

LiteLLM

OpenTelemetry

LangFlow

Optimization Use Cases

Optimize Your RAG

Better Routing for your Agents

Improve Categorization Accuracy

Structured Vibe-Checking

Build Reliable Custom Evals

Safety and Compliance

Improve performance of your RAG by letting LangWatch find the best prompt and demonstrations to return the right documents when generating a search query.


Then, reduce hallucinations by optimizing the prompt to maximize faithfulness score when answering the user.

Optimize Your RAG

Better Routing for your Agents

Improve Categorization Accuracy

Structured Vibe-Checking

Build Reliable Custom Evals

Safety and Compliance

Improve performance of your RAG by letting LangWatch find the best prompt and demonstrations to return the right documents when generating a search query.


Then, reduce hallucinations by optimizing the prompt to maximize faithfulness score when answering the user.

Optimize Your RAG

Better Routing for your Agents

Improve Categorization Accuracy

Structured Vibe-Checking

Build Reliable Custom Evals

Safety and Compliance

Improve performance of your RAG by letting LangWatch find the best prompt and demonstrations to return the right documents when generating a search query.


Then, reduce hallucinations by optimizing the prompt to maximize faithfulness score when answering the user.

Guarantee AI Quality with the click of a button

Enterprise-grade controls:
Your data, your rules

Enterprise-grade controls: Your data, your rules

Self-hosted deployment

Deploy on your own infrastructure for full control over data and security, ensuring compliance with your enterprise standards.

Compliance

LangWatch is GDPR compliant and working towards ISO27001. For European customers, all our servers are hosted within Europe, with no 3rd party other than LLM providers, which you have full control of.

Role-based access controls

Assign specific roles and permissions to team members, ensuring the right access for the right people. Manage multiple projects and teams under the same organization.

Use your own models

& integrate via API

Integrate your custom models and leverage any API-accessible tools for maximum integration of the AI workflows with your enterprise sytems.