Block AI hallucinations in real-time

Future AGI provides real-time guardrail monitoring with block rate insights, including 15 built-in guardrails for ML content moderation, PII detection, injection, and toxicity detection. It also supports custom guardrails via the Command Center.

Prevent harmful or hallucinated outputs before they reach users.

Run comprehensive evaluations with 20+ metrics

Run structured experiments across models and prompts with 20+ metrics like factuality, relevance, safety, and completeness. Use heuristic, code, LLM-as-judge, and agentic evaluation methods.

Quantify agent performance and identify weaknesses with detailed scores.

Simulate thousands of multi-turn conversations

Simulate text and voice agent testing with personas and scenarios. Generate diverse, realistic test data and define branching conversation test scenarios to cover edge cases.

Stress-test agents under realistic conditions before deployment.

Sentry-style error tracking for AI agents

Get a centralized error feed that captures failures, anomalies, and hallucination spikes. AI-powered alerts notify you of issues in real time.

Quickly detect and diagnose agent failures to reduce downtime.

End-to-end request tracing for AI agents

Trace every request across 11 span types with 70+ filters. Visualize agent graphs and sessions, and use dashboards with drag-and-drop widgets to monitor performance.

Gain full visibility into agent behavior and debug issues faster.

Continuous improvement with reinforcement learning

Leverage AI optimization to automatically improve agent performance over time. Use Falcon AI for error analysis, insights, auto-tagging, and reports.

Ship smarter agents with every version, reducing hallucinations and improving quality.

• Simulation-First TestingFuture AGI lets you test agents at scale with simulations, scenarios, and synthetic data generation before deployment. The platform's debt collection example shows how to create realistic personas and conversation branches to uncover edge cases like hostile callers or suicide threats.
• Evaluation Metrics That MatterThe platform provides built-in evaluation metrics such as Factuality, Relevance, Safety, and Completeness. In the support bot example, an agent improved from 67% to 91% overall after adding a retrieval step, demonstrating clear, actionable feedback.
• Global Safety PromptsFuture AGI enables you to define global prompts that override agent behavior in critical situations, such as when a user mentions suicide or requests a human. This ensures compliance and safety across all conversations.
• Transparent Usage-Based PricingPricing starts at $0/month with a generous free tier that includes 50GB tracing, 2K evaluation credits, 100K gateway requests, and 1M text simulation tokens. You only pay when you exceed these limits, with clear per-unit rates and no credit card required to start.

• Specific Metrics May VaryWhile the platform shows metrics like CSAT, Promise To Pay Conversion, and Compliance Adherence in the debt collection example, these are specific to that use case. Do not assume these are universal metrics for all agents without configuring them yourself.
• Free Tier Limits and RetentionThe free tier includes 30-day data retention and specific storage limits (50GB). If you need longer retention or higher volumes, costs apply starting at $2/GB for storage and $10 per 1K AI credits. Review the pricing page for full details.
• Integrations and SDKsThe site mentions 'traceAI 30+ libs' and 'MCP server' as included, but specific integration names are not listed in the scraped content. Verify the documentation for the exact list of supported libraries and SDKs before relying on them.
• Self-Hosting OptionThe homepage mentions 'Self-host it' but does not provide details on self-hosting requirements, licensing, or support. Contact Future AGI or check the documentation for self-hosting specifics before committing.

Detect AI Hallucinations in Real-Time

Use Future AGI's Guardrails to block AI hallucinations in real-time, with monitoring and block rate insights to keep your AI agents reliable.

Run Comprehensive Evaluations

Evaluate your AI agents with 20+ metrics including factuality, relevance, and completeness. The platform's evaluation tools help you identify weaknesses and track improvements across versions.

Simulate Multi-Turn Conversations

Simulate thousands of multi-turn conversations with realistic personas and scenarios. Test how your agent handles edge cases like hostile callers or requests to speak to a human, and analyze performance metrics like CSAT and compliance adherence.

Monitor and Optimize Agent Performance

Use Tracing, Dashboards, and AI-powered Alerting to monitor your AI agents end-to-end. The AI Optimization feature uses reinforcement learning for continuous improvement, helping you ship smarter with every version.

Sign up for the free tier and access the visual canvas.

Choose a pre‑built template that matches your use case.

Connect your SaaS tools via the native connectors.

Publish the agent and monitor performance from the dashboard.