Evaluate LLMs with
Precision, Not Guesswork
Run automated benchmarks, compare outputs, and ship better AI systems faster. The industry standard for LLM evaluation and observability.
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The AI Development Bottleneck
Building with LLMs is easy. Building reliable, production-grade AI systems is hard. Most teams are flying blind.
Opaque Comparisons
Manually comparing outputs across models is slow, subjective, and impossible to scale.
Inconsistent Quality
Without standardized evals, you're shipping AI features based on vibes, not data.
Slow Iteration
Waiting for manual QA cycles bottlenecks your development and delays production.
Hidden Costs
Latency and token usage spikes go unnoticed until you receive the monthly bill.
Everything You Need to Ship Better AI
A complete suite of tools built for AI engineers who care about quality and performance.
Automated Evaluation
Advanced LLM-as-judge scoring to quantify quality and alignment instantly.
Unified Model Runner
Call multiple providers (OpenAI, Anthropic, Gemini) via one unified API.
Dataset-Based Testing
Upload CSV/JSON datasets and evaluate model performance at scale.
Evaluation Jobs
Run batch evaluations with progress tracking and detailed reports.
Metrics Dashboard
Track latency, tokens, scores, and pass rate across all your models.
Secure & Extensible
API key management with custom evaluation rules for your domain.
The Evaluation Pipeline
From raw data to actionable insights in four simple steps.
Upload Dataset
Import your test cases from CSV, JSON, or via API.
Generate Outputs
Run your prompts across multiple models simultaneously.
Run Evaluation
Automated scoring using our proprietary LLM-as-judge engine.
Analyze Results
Identify regressions and performance bottlenecks.
A Unified Platform for AI Quality
Syntropylabs connects your development workflow to production-grade evaluation.
User Interface
Seamlessly integrate via our SDK or web dashboard. Upload datasets and define your evaluation criteria in minutes.
- Python & Node SDKs
- CSV/JSON Imports
- Custom Metadata Support
Syntropy Engine
The core orchestration layer that runs your prompts across models and applies LLM-as-judge scoring at scale.
- Parallel Model Execution
- LLM-as-Judge Scoring
- Auto-retries & Rate Limiting
Dashboard
Deep analytics and visualization of your model performance. Identify regressions and track quality over time.
- Regression Tracking
- Latency Analytics
- Team Collaboration
See it in Action
Compare models side-by-side and see how our evaluation engine scores them in real-time.
Click "Run Evaluation" to see outputs...
Click "Run Evaluation" to see outputs...
Built for Engineers,
Not Marketing Fluff
Integrate evaluation directly into your CI/CD pipeline. Our OpenAI-compatible APIs make it easy to swap providers and track performance without changing your codebase.
- OpenAI-compatible proxy layer
- SDKs for Python, Node.js, and Go
- Webhooks for evaluation job completion
- CLI for local evaluation runs
POST /api/v1/evaluate
{
"dataset_id": "ds_8429",
"models": ["gpt-4o", "claude-3.5-sonnet"],
"evaluators": ["rouge", "llm-as-judge"],
"config": {
"temperature": 0.7,
"max_tokens": 1000
}
}Trusted by AI Teams
From startups to enterprise, engineering teams rely on Syntropylabs to build reliable AI.
“The LLM-as-judge feature reduced our hallucination rate by 40% in just two weeks of testing.”
“Finally, a tool that treats LLM evaluation as an engineering discipline, not a guessing game.”
“Syntropylabs replaced our entire manual eval pipeline”
Simple, Transparent Pricing
Scale your evaluation pipeline as your product grows.
Enterprise
For organizations with custom security and scale needs.
- Custom model adapters
- On-premise deployment
- Dedicated account manager
- SLA & security audits
- SSO / SAML