Giving AI teams confidence in every release

LangWatch is an all-in-one observability and evaluation platform.

Debug, Test & Optimize your entire AI agent lifecycle with LangWatch.

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Book an LLM Eval consult

AI teams across Start-ups, AI agencies & Enterprises use LangWatch to monitor & evaluate their LLM-pipelines

“LangWatch has brought us the next

level observability and evaluations. The

Optimization Studio brings the kind of

progress we were hoping for as a

partner."

Lane - VP engineering - GetGenetica - Flora AI

Why? LLM-applications have hidden risks

Uncertainty of AI performance

3000+ AI harms reported: 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

90% of GenAI projects fail to reach production.
The absence of a structured framework prevents many innovations from seeing the light of the day.

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How LangWatch guarantees quality

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

Evaluate your entire pipeline on and off-line, 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

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.

Built for developers enabling to bring Domain Experts

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

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

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LangWatch’s UI-based approach allowed

us to experiment with prompts,

hyperparameters, and LLMs without

touching production code. When deeper

customization was needed, the flexibility

to dive into coding was a huge plus

Malavika Suresh. - AI Researcher, PHWL.ai

Build datasets, 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 evaluations.
Measure quality, latency, cost, debug the messages and outputs using observability.
Versioned experiments to keep track of best performing pipeline, prompts and models.

Start evaluating your LLM

“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 Oostra. - 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.

Start Optimizing

It doesn't stop there

LangWatch is a complete end-to-end 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.

Bring your Domain Experts onboard to bring human evals an important step in your workflows.

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LangWatch

Observability

Monitoring

Debugging

Cost Tracking

Annotations

Alerts

Datasets

LangWatch

Analytics

Topics, Events, Custom Graphs

LangWatch

  Evaluations & Guardrails

Jailbreak Detection, RAG quality

LangWatch

Optimization Studio

Measure, Experiment, Optimize

“LangWatch didn’t just help us optimize

our AI—it fundamentally changed how

we work, now, everyone on our

team—from engineers to coaching

experts—can contribute to building a

better AI coach.”

David Nicol - CTO - Productive Healthy Work Lives

Easy Integration into any tech stack

Supports all LLMs , Model agnostic

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 Studio 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.

Guarantee AI Quality with LangWatch

Book a demo

Get Started

quick 15 min demo

Enterprise-grade controls:
Your data, your rules

Self-hosted or Hybrid deployment

Deploy on your own infrastructure for full control over data and security, ensuring compliance with your enterprise standards. Or use the easiness of LangWatch Cloud and keep your customer data on your own premises.

Compliance

LangWatch is GDPR compliant and ISO27001 certified. 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.