Future Agi

Future AGI is an evaluation and observability platform for teams shipping AI agents and LLM applications. It covers the loop from pre release testing through to production monitoring: simulated conversations run against an agent, datasets and experiments, automated evaluation, tracing and dashboards, and runtime guardrails that screen inputs and outputs. It is aimed at AI engineers and the platform teams supporting them. Simulation runs scripted voice and chat conversations against a live agent using personas with traits such as heavy accents, interruptions or hostility, returning per call audio, transcripts, pass rates, latency and compliance scores. Evaluation covers heuristic checks, code evaluators and LLM as judge scoring, with an option to supply your own model key. An AI gateway handles routing, caching, rate limits, virtual keys and cost tracking. Other pieces include synthetic data generation, an agent IDE and prompt playground, annotation queues, alerting, an MCP server and tracing instrumentation for more than 30 libraries. The tracing library is published under Apache 2.0, the platform can be self hosted, and it runs in a US or EU region. SOC 2 Type II, HIPAA, ISO 27001, GDPR and CCPA certifications are listed. Pricing is usage based with a free tier at $0 a month and no card required, including 50 GB of tracing storage, 2,000 evaluation credits, 100,000 gateway requests, 1,000,000 simulation tokens, 60 minutes of voice simulation, 15 guardrails, unlimited projects and 30 day retention. Past the free tier, storage starts at $2 per GB, AI credits at $10 per 1,000, gateway at $5 per 100,000 requests, cache hits at $1 per 100,000, text simulation at $2 per million tokens and voice simulation at $0.08 a minute, with volume discounts. Boost is $250 a month and Scale $750 a month, raising annotation queue limits. Enterprise is quoted.