Evaligo

Evaligo is the comprehensive AI development platform designed for engineering teams and developers who need to ship reliable AI features at scale. It centralizes prompt generation, rigorous evaluation, and production tracing into one unified workspace. By eliminating scattered scripts and dashboards, Evaligo allows you to rapidly iterate, prevent costly regressions, and ensure your AI applications maintain consistent quality and performance as models and requirements evolve.

Key Features

Evaligo provides the essential building blocks for systematic quality assurance across the entire AI development lifecycle.

• 🛠️ Interactive Prompt Playground & Debugging: Experiment, replay, and refine prompts in a collaborative environment. Instantly visualize the impact of parameter changes and receive AI-driven recommendations for improvement, accelerating your design and iteration cycles.

• ⚖️ LLM as a Judge for Prompt Evaluation: Leverage advanced language models to provide nuanced, consistent scoring and actionable insights at scale. This capability replaces subjective human review with objective, repeatable evaluation, ensuring every prompt change is rigorously tested against your predefined quality criteria.

• 🚀 Prompt Management, Testing & CI/CD: Organize, version, and deploy prompts safely. Integrate evaluation-driven checks directly into your deployment pipeline (CI/CD) to automatically catch regressions and prevent performance degradation before it ever reaches production environments.

• 📊 Real-Time Tracing & Production Monitoring: Gain full visibility into every prompt, response, and model decision in production. Trace issues instantly, monitor quality, cost, and latency metrics in real-time, and use continuous evaluation to ensure the reliability of your live applications.

• 🧪 Systematic Experimentation with Datasets: Run structured experiments by comparing multiple prompt or model variants side-by-side against curated, versioned datasets. This process provides data-driven answers to optimization questions, helping you optimize for accuracy, cost, and latency simultaneously.

Use Cases

Evaligo transforms ad-hoc prompt engineering into a disciplined, measurable development process, resulting in tangible performance improvements and reduced operational risk.

1. Preventing Deployment Regressions

When your team needs to upgrade the underlying LLM (e.g., from GPT-3.5 to GPT-4o), you can use Evaligo’s CI/CD integration to run automated regression checks. By testing the new model against your existing, validated datasets, the platform automatically flags any loss in accuracy or increase in error rates before the deployment is finalized, ensuring a smooth and safe transition.

2. Objective Prompt Optimization

A data science team is struggling to optimize a prompt for a complex classification task. Instead of manual trial-and-error, they use the Interactive Playground to generate several variants. They then run an experiment, utilizing the LLM-as-a-Judge feature to objectively score the variants based on consistency and accuracy metrics. This systematic approach allows them to identify and deploy the highest-performing prompt configuration in minutes, not days.

3. Closing the Production Feedback Loop

A live content generation API suddenly experiences a spike in token usage and latency metrics. The engineering team uses Evaligo's Real-Time Tracing feature to instantly pinpoint the specific user inputs and associated prompt versions causing the anomaly. They analyze the production traces, identify an unhandled edge case, and use this real-world data to immediately update their evaluation datasets, ensuring the fix is validated and future regressions are prevented.

Why Choose Evaligo?

Evaligo is trusted by over 2,800 developers because it provides an integrated, developer-focused approach to AI quality assurance that goes beyond simple prompt management.

• Integrated 3-Step Workflow: Evaligo supports the complete development cycle: Iterate (rapidly refine in playgrounds), Eval (test every change with automated checks and custom metrics), and Ship (monitor production performance and automate reliability). This integrated loop handles complexity, allowing you to focus purely on building reliable features.

• Objective Quality Assurance: Unlike platforms relying solely on manual review, Evaligo uses structured datasets and LLM-based judges to provide consistent, objective, and quantifiable metrics for quality, safety, and performance. This ensures that improvements are measurable and sustainable.

• Developer Trust and Community: With a 4.9/5 customer rating and a proven track record, Evaligo offers a robust, production-ready API and comprehensive documentation designed for engineering teams, allowing you to move from idea to reliable deployment with confidence.

Conclusion

Evaligo empowers developers to move faster and build more reliably. By centralizing experimentation, objective evaluation, and real-time production monitoring, you gain the confidence needed to deploy and scale high-quality AI features.