Basalt

Basalt is a comprehensive, end-to-end platform designed to empower developers and product teams to ship AI agents that users can trust. It addresses the entire lifecycle of AI agent development, from initial ideation and prompt engineering to rigorous evaluation, production monitoring, and continuous improvement. The platform is built on the principle of making AI reliable, providing the necessary tools to validate and measure performance at every stage.

With Basalt, teams can move beyond simple development and embrace a culture of quality and trustworthiness in their AI applications. It offers a collaborative environment where developers, product managers, and domain experts can work together seamlessly. Whether you are a seasoned developer looking for a powerful SDK or a non-technical stakeholder wanting to contribute to the prompt design, Basalt provides an intuitive and accessible experience for everyone.

How to use Basalt

Using Basalt involves a structured workflow to ensure maximum reliability for your AI agents:

1. Integration: Start by integrating the Basalt SDK into your application's codebase. The SDK is designed for quick and easy setup, allowing you to connect your AI agent to the Basalt platform in minutes.
2. Prompt Engineering: Utilize the 'Prompt like a pro' studio. Let the AI co-pilot help you turn an idea into a well-structured prompt. You can iterate on prompts, compare different large language models (LLMs), and use the AI co-pilot for suggestions to improve performance. The platform also supports prompt versioning to track changes.
3. Evaluation Setup: Define how you will measure success. Use Basalt's library of over 50 pre-built evaluation templates or create your own custom AI evaluators to check for specific errors, biases, or quality criteria.
4. A/B Testing: Run A/B tests on your entire agentic workflow directly from your code. Compare different prompts, models, or logic chains to see which performs better against your defined test cases and evaluation metrics.
5. Deployment & Monitoring: Once you're confident in your agent's performance, deploy it to production. Basalt's monitoring tools allow you to trace agent interactions, monitor usage, and track performance in real-time.
6. Alerting & Improvement: Set custom criteria for production errors or performance degradation. Basalt will automatically alert you when these thresholds are met, enabling you to quickly identify and fix issues to continuously improve your agent's quality.

Core Features of Basalt

• Automated Evaluations: Run evaluations on autopilot to continuously check agent quality against multiple test cases.
• AI Evaluators: Access a library of 50+ templates or build custom AI evaluators to look for specific errors and ensure robustness.
• A/B Testing for Agents: Compare entire agentic chains, not just prompts, to find the optimal workflow.
• AI Co-pilot for Prompts: An intelligent assistant for generating, improving, and iterating on prompts, including multi-model comparison and recommendations.
• Production Monitoring & Tracing: Gain full observability into your agent's behavior in production, trace every step, and monitor usage patterns.
• Developer-Friendly SDK: A powerful and easy-to-use SDK that developers will love, designed for rapid integration.
• Collaborative by Design: A unified platform where product, tech, and expert teams can all contribute to building better AI.
• Enterprise-Grade Security: Built with robust privacy and security practices to protect your data.

Use Cases for Basalt

Basalt is ideal for any team building sophisticated AI-powered features, including:

• Customer Support Automation: Building and maintaining reliable chatbots and virtual assistants that provide accurate and helpful responses.
• Complex Agentic Workflows: Developing multi-step AI agents for tasks like data analysis, research, or automated content generation, ensuring each step in the chain is reliable.
• In-App AI Features: Integrating and testing AI features within a SaaS product, ensuring they are safe, effective, and enhance the user experience.
• LLM-Powered Internal Tools: Creating dependable internal tools for employees, such as knowledge base query agents or automated report summaries.

Advantages of Basalt

The primary advantage of Basalt is its focus on building trust and reliability into the AI development process. It provides an end-to-end solution that covers the entire lifecycle, preventing teams from having to stitch together multiple disparate tools. The platform's automation features, like the AI co-pilot and automated evaluations, significantly accelerate the development cycle. Its collaborative nature ensures that all stakeholders are aligned, leading to higher-quality AI products. Finally, the powerful SDK and focus on developer experience make it a practical and enjoyable tool for technical teams.

Pricing and Plans

Basalt operates on a freemium model, making it accessible for individuals and teams of all sizes.

• Free Plan: A generous free tier designed for individuals, startups, and small projects to get started. This plan likely includes a limited number of evaluations, traces, and access to core features.
• Pro/Team Plan: A paid plan for growing teams and businesses that require higher usage limits, advanced collaboration features, and priority support.
• Enterprise Plan: A custom plan for large organizations with needs for enterprise-grade security, custom integrations, dedicated support, and unlimited usage.

Specific pricing details can be obtained by contacting the Basalt sales team or checking their pricing page.