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What is Basalt?

Basalt is an end-to-end AI platform that enables teams to build, evaluate, monitor and improve AI-powered features — from ideation through production with minimal friction.

By providing tools for prompt engineering, structured testing, deployment via SDKs, and real-time monitoring, Basalt helps developers and product teams ensure their AI features work reliably in real-world environments.

Basalt

Basalt Plans and Pricing

Basalt’s pricing is designed to cater to AI teams, startups, and growing enterprises. They offer flexible plans based on usage, team size, and feature requirements. To check out their monthly and annual pricing, click on the button below.

Basalt Use Cases

Basalt empowers AI teams, developers, and product builders to **create, test, and monitor AI features seamlessly from prototype to production.** It streamlines the entire AI lifecycle — from prompt engineering and evaluation to deployment and real-time performance tracking — all in one unified platform.

AI Feature Development: If your team is building AI-powered features, Basalt provides the infrastructure to create, test, and deploy them seamlessly. You can iterate on prompts, fine-tune models, and move from prototype to production without switching between tools.

Model Evaluation and Testing: Basalt lets you run structured tests on your AI models or LLM prompts to ensure reliability and performance consistency. It allows teams to identify weak spots, track improvements, and benchmark performance across different versions.

Prompt Optimization: For teams working with generative AI models, Basalt helps optimize prompts through experimentation and A/B testing. This ensures your AI responses remain accurate, relevant, and aligned with user expectations.

Production Monitoring: Once your AI features are live, Basalt continuously monitors them in real time. It tracks performance, detects anomalies, and alerts your team if the model behavior deviates — helping maintain trust and stability in production.

Collaboration Between Teams: Basalt bridges the gap between product, engineering, and data science teams. By centralizing testing results, performance metrics, and version history, it enables smoother collaboration and faster decision-making.

Who is Basalt ideal for?

AI and Machine Learning Teams: Tailored for AI development teams, Basalt simplifies the process of building, testing, and monitoring AI-powered features. It enables data scientists and engineers to evaluate model performance, detect regressions, and ensure consistency — all without juggling multiple tools or workflows.

Product and Engineering Teams: Ideal for product and engineering teams integrating AI into their products, Basalt helps them manage the entire lifecycle — from prototype to production. Teams can iterate on prompts, test outputs, and monitor live models, ensuring a smooth and reliable AI experience for end-users.

AI Startups and Founders: For AI-first startups or founders building innovative AI solutions, Basalt offers a scalable platform to experiment, validate, and deploy AI features quickly. It helps lean teams move fast without compromising quality, performance, or observability.

Research and Data Science Teams: Designed for researchers and data scientists conducting experiments or comparing models, Basalt streamlines evaluation and benchmarking. It provides a structured way to log, visualize, and analyze results across experiments, promoting reproducibility and transparency.

Enterprises and Regulated Organizations: Enterprises operating in sensitive or regulated sectors can rely on Basalt for governance and compliance. It ensures traceability and documentation across model versions, helping organizations meet ethical AI and audit standards.

Basalt Key Features

Prompt Engineering & Prototype Builder
Structured Evaluation & Test-Case Management
Multi-Model Comparison & A/B Testing
SDK for Seamless Deployment
Real-Time Monitoring & Trace Logging
Automated Alerting on AI Performance Issues
Collaborative Team Workflow Support (product + engineering + domain experts)
AI Feature Idea Generation (Feature Finder)
Versioning & Traceability of Prompts/Workflows
Enterprise-Grade Security & Compliance (SOC 2 Type 1)

Weights & Biases (W&B): One of the leading platforms for tracking experiments, visualizing metrics, and managing machine learning workflows end to end.

Evidently AI: A robust open-source tool for monitoring data quality, model drift, and performance metrics in production AI systems.

Arize AI: Focused on AI observability, Arize helps teams detect performance issues, bias, and data drift with powerful dashboards and alerts.

Truera: Specializes in model explainability and fairness testing, making it ideal for teams that need to ensure transparency and compliance in AI behavior.

WhyLabs: Provides advanced monitoring for both data pipelines and AI models, offering insights into performance, anomalies, and reliability at scale.

While these tools provide excellent evaluation and monitoring features, Basalt stands out for its all-in-one approach — combining prompt testing, model evaluation, deployment readiness, and real-time monitoring in a single, developer-friendly platform.

Basalt alternatives and competitors

If you don’t have time to wait for a Basalt lifetime deal, here are some recurring alternatives you can explore that offer similar AI development, evaluation, and monitoring capabilities.

Why we can get Basalt

At Prime, we shamelessly request successful SaaS companies to offer an LTD on our platform no matter how big they already are. Somehow this works for us. Our past record gives us hope that we can get the Basalt lifetime deal, if we get enough requests on this page. Let us bring this gem for you.