Reva

Outcome-driven AI testing

Contact for Pricing

Description

Reva provides businesses with a specialized platform for rigorously testing, evaluating, and comparing large language models based on real-world outcomes. By leveraging your own data or synthetic data, Reva enables precision model selection, continuous optimization, and custom fine-tuning to meet your organization's specific success criteria.

With automated model monitoring and proactive testing strategies, Reva helps de-risk AI deployment and ensures each configuration delivers optimal returns. The platform adapts to advances in AI, allowing businesses to future-proof their LLM products with evidence-based decisions.

Key Features

Precision Model Selection: Matches models like OpenAI or Anthropic to specific business needs for optimal performance.
Test Changes: Evaluate model and configuration updates with your data or generated synthetic data.
Custom Fine-Tuning & Synthetic Data: Tailor models with fine-tuning and synthetic data for enhanced accuracy.
Continuous Optimisation: Adapts models with proactive monitoring and updates as AI evolves.
Data-Driven Monitoring: Ensures every change improves product performance through rigorous testing.

Use Cases

Comparing large language models for business tasks
Outcome-based testing of LLM products
AI model backtesting and future-proofing
Monitoring AI deployment and performance
Custom fine-tuning of LLMs with synthetic data

Frequently Asked Questions

What types of AI models does Reva help evaluate?

Reva enables evaluation and comparison across various large language models, including options such as OpenAI and Anthropic, based on your business requirements.

Can I use my own data to test model changes in Reva?

Yes, Reva allows you to use both your historical data and synthetic data to rigorously test and compare model and configuration changes.

Does Reva support continuous monitoring of deployed AI systems?

Reva offers continuous monitoring to ensure your AI systems remain effective and compliant with business guardrails after deployment.

How does Reva assist with model fine-tuning?

Reva provides tools for custom fine-tuning using your unique data and synthetic data it can generate, improving model accuracy for your use cases.

How does Reva ensure my business chooses the right AI model?

Reva uses precision model selection, evaluating models such as OpenAI or Anthropic against your business criteria to ensure optimal performance and return on investment.