FutureAGI is an all-in-one AI agent engineering and optimization platform that lets developers easily build, test, deploy, and optimize AI applications. It surpasses traditional testing methods by using proprietary, research-driven evaluation models (patent pending) designed to rigorously benchmark and ensure real-world reliability and performance.
FutureAGI is an all-in-one AI agent engineering and optimization platform empowering developers to accelerate generative AI projects from idea to deployment with speed, confidence, and reliability. Built specifically for AI Agent developers, FutureAGI combines powerful evaluation tools, real-time observability, robust safety and compliance mechanisms, rapid prototyping, and streamlined deployment into a single, unified solution designed to enhance every stage of your AI journey. FutureAGI offers both a user-friendly UI-based platform and comprehensive SDKs, making it easier to collaborate effectively with cross-functional teams and integrate seamlessly into existing workflows. Key Capabilities: Rigorous AI Evaluation: FutureAGIs advanced evaluation suite allows you to thoroughly assess your generative AI models without the need for costly Human-in-the-Loop processes or ground truth data. Gain rapid feedback and confidently deliver high-quality AI experiences. Real-Time Observability: Monitor every interaction in real-time, detect and resolve issues proactively, optimize performance continuously, and maintain peak reliability. FutureAGIs built-in observability ensures you stay ahead of failures and maintain optimal user experiences. Built-in Safety & Compliance: FutureAGIs Protect module automatically identifies and mitigates risks such as toxicity, bias, and policy violations. Implement strong safety guardrails effortlessly, ensuring your generative AI systems are safe, compliant, and trustworthy from day one. Datasets Made Easy: Seamlessly access high-quality datasets directly from Hugging Face, effortlessly import your own domain-specific data, or create tailored synthetic datasets within FutureAGI. Ensure your models are precisely trained for maximum performance and reliability. Prompt Engineering Excellence: Quickly test, refine, and optimize prompts across multiple AI models at scale. Discover what works best through high-volume, nuanced prompt experimentation, enabling you to continuously elevate the quality of your GenAI applications. Rapid Prototyping: Move swiftly from idea to implementation with FutureAGIs intuitive prototyping environment. Obtain deep, actionable insights with every iteration, accelerating your development and innovation cycles. With FutureAGI, developers gain unparalleled control, efficiency, and confidence to build, evaluate, deploy, and continuously perfect cutting-edge generative AI applications.
Highlights
AI Evaluation: FutureAGIs advanced evaluation suite allows you to thoroughly assess your generative AI models without the need for costly Human-in-the-Loop processes or ground truth data. Gain rapid feedback and confidently deliver high-quality AI experiences.
Real-Time Observability: Monitor every interaction in real-time, detect and resolve issues proactively, optimize performance continuously, and maintain peak reliability. FutureAGIs built-in observability ensures you stay ahead of failures and maintain optimal user experiences.
Built-in Safety & Compliance: FutureAGIs Protect module automatically identifies and mitigates risks such as toxicity, bias, and policy violations. Implement strong safety guardrails effortlessly, ensuring your generative AI systems are safe, compliant, and trustworthy from day one.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
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This listing offers two contract plans sold in units. The Pro Plan targets startups, and the Enterprise Plan targets larger teams. Both cover the same platform for evaluating, observing, and protecting LLM applications. You choose the plan that matches your team size, then commit under a contract term. The plans are separate options rather than stacked tiers, so you pick one based on scale. Enterprise adds features suited to bigger organizations, such as security, compliance, and dedicated support. Pricing scales with the plan you select and the number of units you purchase.
Top-of-mind questions for buyers
What counts as one unit for billing on the Pro or Enterprise Plan?
Units map to platform usage across dimensions like storage, AI credits, gateway requests, cache hits, and simulation tokens. AI credits power managed features such as code evaluations, LLM-as-judge scoring, and content moderation checks. You draw down purchased units as you consume these resources across the platform.
What features does the Enterprise Plan add beyond the Pro Plan?
The Enterprise Plan adds security and compliance controls suited to larger organizations. These include single sign-on, attribute-based access control, extended data retention, audit logs, and dedicated support with a customer success manager. It also supports private cloud or on-premise deployment within your own environment.
Which usage drives most of my cost across the platform?
Managed AI features drive credit consumption, since code evaluations, LLM-as-judge scoring, and ML content checks each charge per run. Storage, gateway requests, and simulation tokens bill separately. Heuristic evaluations and bring-your-own-key evaluations carry no platform cost, which lowers spend for teams using their own model keys.
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Recorded Future arms security teams with the only complete threat intelligence solution powered by patented machine learning to lower risk. Recorded Future can help you find threats 10 times faster, identify 22 percent more threats before impact, and resolve threats 63 percent quicker.
Recorded Future arms security teams with the only complete threat intelligence solution powered by patented machine learning to lower risk. Recorded Future can help you find threats 10 times faster, identify 22 percent more threats before impact, and resolve threats 63 percent quicker.
Recorded Future arms security teams with the only complete threat intelligence solution powered by patented machine learning to lower risk. Recorded Future can help you find threats 10 times faster, identify 22 percent more threats before impact, and resolve threats 63 percent quicker.
Recorded Future arms security teams with the only complete threat intelligence solution powered by patented machine learning to lower risk. Recorded Future can help you find threats 10 times faster, identify 22 percent more threats before impact, and resolve threats 63 percent quicker.
Recorded Future arms security teams with the only complete threat intelligence solution powered by patented machine learning to lower risk. Recorded Future can help you find threats 10 times faster, identify 22 percent more threats before impact, and resolve threats 63 percent quicker.
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