Future AGI — Observability, Prompts & Evals Platform
Observability, Prompts & EvalsLayer 4FreemiumFounded 2024|Mountain View, CA|11-50
Visit websiteWhat is Future AGI?
Future AGI is a multimodal AI evaluation and observability platform that scores LLM outputs across text, image, audio, and video. Founded in 2024 in Mountain View, CA by Nikhil Pareek (CEO) and Charu Gupta, the company has raised $2.83M in funding including a $1.6M pre-seed led by Powerhouse Ventures and Snow Leopard Ventures with participation from 30+ angel investors.
The platform combines automated evaluation with production observability through several integrated modules: Evaluate provides proprietary accuracy metrics across modalities, Experiment enables no-code prompt prototyping, Monitor tracks real-time safety metrics for toxicity, bias, and policy violations, and Improve offers automated prompt refinement. Future AGI's TraceAI is an open-source tracing library built on OpenTelemetry that instruments 50+ AI frameworks including OpenAI, Anthropic, LangChain, LlamaIndex, CrewAI, and AWS Bedrock.
With a team of ~36 AI researchers and ML engineers from Microsoft and Amazon, Future AGI serves customers through both its SaaS platform and an AWS Marketplace listing. The platform holds a 4.8/5 rating on G2 with 12 verified reviews, with users particularly praising its multimodal evaluation capabilities and hallucination detection. The multimodal angle — evaluating image, audio, and video outputs alongside text — is a key differentiator that few competitors offer.
Key Features
- ✓Multimodal evaluation (text, image, audio, video)
- ✓OpenTelemetry-native tracing (TraceAI)
- ✓Automated hallucination detection
- ✓Prompt optimization
- ✓Safety & compliance monitoring
Pros & Cons
Pros
- +Multimodal evaluation across text, image, audio, and video — a capability few competitors offer
- +Easy integration via TraceAI SDK with OpenTelemetry compatibility and support for 50+ AI frameworks
- +Effective hallucination detection that catches issues before they reach end users
- +Generous free tier with 10K traces/month and meaningful eval credits
- +Available on AWS Marketplace for streamlined enterprise procurement
Cons
- -Dashboard complexity can overwhelm non-technical team members
- -Documentation has gaps especially for advanced use cases
- -Initial setup requires trial and error with configuration friction
- -Primarily focused on LLM and agent scenarios — less useful for classical ML
Future AGI Pricing
Free trial available
StarterFree
- ✓3 team members
- ✓3 projects
- ✓10K traces/month
- ✓1GB storage
- ✓$5 one-time + $20/mo eval credits
GrowthPay-as-you-go
- ✓Unlimited members & traces
- ✓Advanced analytics
- ✓Priority support
- ✓10GB storage
- ✓180-day retention
EnterpriseCustom
- ✓Unlimited everything
- ✓Dedicated support engineer
- ✓SOC2/HIPAA
- ✓RBAC
- ✓On-prem deployment
- ✓3hr response SLA
AWS Pro$50/monthmonthly
- ✓AWS Marketplace
- ✓Startup-focused plan
AWS Enterprise$4,000/monthmonthly
- ✓AWS Marketplace
- ✓Large team plan
Common Use Cases
AI teams needing evaluation across multiple modalities
- •LLM output quality evaluation
- •Multimodal AI assessment
- •Agent observability
- •Hallucination detection
- •Production safety monitoring
Using Future AGI with Respan
Future AGI specializes in evaluating AI output quality across modalities, while Respan provides production-grade LLM monitoring and gateway management. Together they enable teams to evaluate output quality (Future AGI) while optimizing cost and performance (Respan).
- ✓Evaluate multimodal AI output quality with Future AGI while monitoring production performance via Respan
- ✓Combine Future AGI hallucination detection with Respan production traces for comprehensive quality assurance
- ✓Use Future AGI evaluations to validate outputs from LLMs monitored and routed through Respan
- ✓Track evaluation scores alongside Respan cost metrics to balance quality and efficiency
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Last verified: March 27, 2026