Master Your LLM Stack
Not sure if Claude, Amazon Nova, or OpenAI is right for your workload? We run the numbers. DataMax benchmarks every major LLM on AWS Bedrock across latency, accuracy, output quality, and cost.
Batch & Runtime Evaluation
We run your real prompt datasets, not generic benchmarks, through every model on your shortlist. Batch mode covers your full dataset at scale. Runtime mode mirrors production traffic.
Comparison Across What Matters
Every model is scored on four dimensions: latency (p50/p90/p99), accuracy (ROUGE, BERTScore), output quality, and cost (per-token pricing mapped to actual usage).
An Executable Migration Roadmap
The engagement closes with an effort-estimated roadmap: defining which models to swap, projected ROI, and shadow-mode rollout guidance.
How it works
Discovery & Setup
We assess your environment, curate prompt datasets, and deploy benchmarking infrastructure on your own AWS account using CDK or Terraform.
Benchmarking & Analysis
Every model is evaluated against your datasets. We score latency, accuracy, and output quality, run the cost analysis, and build your dashboard.
Roadmap & Enablement
We deliver your migration roadmap, present findings to stakeholders, and run a knowledge transfer workshop for your team.
Ready to transform your AI Evaluation?
Faster execution, clearer technical decisions, and a better foundation for growth. Get in touch with our experts today to discuss your project.