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Future AGI

Free plan available

Most accurate evaluation agents that work across all modalities

Deep multimodal evaluations
Agent optimization
Real-time observability

About Future AGI

Launched Mar 26, 2025

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Description

Most accurate evaluation agents that work across all modalities

We enable enterprises to build and maintain production-grade AI systems. Our platform delivers the world's most accurate multimodal AI evaluation tool—enabling organizations to achieve 99% accuracy in applications across software and hardware. From prototype to production, ensure your AI performs reliably where it matters most—so you can launch with confidence, not guesswork. We offer- 1. Deep Multimodal Evaluations: Rigorous assessment of text, image, audio, and video models to pinpoint performance issues. 2. Agent Optimization: Intelligent, actionable insights that reduce development time by up to 95%. 3. Real-Time Observability: Continuous monitoring and evaluation to ensure reliability and trustworthiness in production environments.
Future AGI website

Future AGI Key Features

  • Synthetic Data Generation (via RL): Leverage reinforcement learning to generate high-quality, tailored datasets that accelerate model training.
  • Multimodal Evaluations: Perform deep evaluations across text, image, audio, and video modalities to uncover hidden performance challenges.
  • Agentic Experiment: Build and experiment with any agentic flow, empowering you to design, test, and iterate intelligent workflows seamlessly.
  • Optimize: Automatically fine-tune models and workflows using actionable, data-driven insights for peak performance.
  • Auto-Annotate: Streamline data labeling with our automated

Pros

  • Highly accurate multimodal AI evaluation that covers text, image, audio, and video models.
  • Helps in achieving up to 99% accuracy in AI applications across both software and hardware.
  • Offers deep multimodal evaluations ensuring reliability and precision in AI systems.
  • Provides intelligent, actionable insights that can reduce development time by up to 95%.
  • Enables continuous monitoring and real-time observability for trustworthy AI deployment.
  • Facilitates the transition from prototype to production with confidence.

Cons

  • Potentially complex to implement and integrate into existing systems.
  • May require a steep learning curve for users unfamiliar with AI evaluation tools.
  • Reliance on the app for real-time evaluation might necessitate frequent updates and maintenance.
  • The accuracy of 99% may still leave room for critical errors in high-stakes applications.

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