Company profile
Future AGI
Open-source platform for building, evaluating, and improving AI agents.
- Category
- MLOps
- Headquarters
- San Francisco
- Sells to
- Developers
- Business model
- Open source, Freemium, Usage-based API
- Deployment
- Cloud / SaaS, Self-hosted, API
- Pricing
- Usage-based with free tiers · free tier
- Builds own models
- No — builds on existing models
- Modalities
- Text, speech, Multimodal
What Future AGI does
Future AGI is an open-source platform designed to take AI agents from development to production and continuously improve them. It provides tools for experimenting with prompts, models, and configurations, simulating agents against synthetic users (voice and text), evaluating agent data, decisions, and responses in real-time, and routing model calls through a gateway with fallback and caching. The platform also allows tracing and replaying every step in production and auto-improving agents from real production failures. It offers SDKs for Python, TypeScript, Java, and C# to support evaluations, tracing, datasets, prompt optimization, and simulation.
Key capabilities
- GenAI Infrastructure
- Prompt Optimization
- AI Evaluation
- LLM Experimentation
- Multimodal Evaluation
- LLM observability
- Voice AI Testing
- Simulation
- AI Gateway
- AI Guardrail
- LLM Infra
- Prompt Management
- Multi-Agent Systems
- RAG Applications
- AI Agents
- Error Clustering
- AI Quality
- Hallucination Detection
- Prompt Injection Detection
- Experiment with prompts, models, and configurations
- Simulate against thousands of synthetic users (voice and text)
- Evaluate every agent data, decision and response
- Shield every input in real time
- Route every model call through one gateway with fallback and caching
- Trace and replay every step in production, across every framework
- Auto-improve agents from real production failures
- Self-hostable
- Usage-based pricing across 6 dimensions
- Generous free tiers on every product
- End-to-end traces, spans, sessions, dashboards, alerts
- Heuristic, code evals, LLM-as-judge, agentic evaluation
- AI gateway - routing, caching, guardrails, cost tracking
- ML content moderation, PII, injection, toxicity detection
- Text + voice agent testing with personas and scenarios
- Dataset management, versioning, experiment
- Real calls, real audio, real evaluation for voice and chat simulation
- Scenario Builder with 4 methods (visual workflow, script upload, dataset import, AI generation)
- Persona Library (18+ built-in, custom)
- Call Analytics (CSAT scores, agent latency, WPM, talk ratio, interrupt counts)
- Synthetic Data Generation from schema
- Knowledge Engine for grounded data generation
- Distribution Analysis for constrained data generation
- Privacy Scanner for PII detection
- Dynamic Columns for auto-computing data
- Prompt Optimization (6 algorithms including ProTeGi, PromptWizard, GEPA)
- Version History for datasets
- OpenTelemetry span instrumentation
- API access to all platform features
- SOC 2 Type II Certified
- ISO 27001 Certified
- GDPR, CCPA, HIPAA compliant
- AES-256 encryption at rest, TLS 1.2+ in transit
- No training on customer data
- Annual third-party pen testing
- 99.9% uptime SLA
- 72-hour incident notification SLA
- Data residency options (US + EU)
Use cases
- Build self-improving agents
- Catch what breaks in AI agents
- Fix AI agent issues faster
- Ship smarter AI agents every time
- QA voice agents before launch
- Test chatbots with realistic conversations
- Validate compliance and SOPs for AI agents
- A/B test agent versions
- Cover every persona type in testing
- Evaluate tool calling
- Eliminate hallucinations in AI agents
- Benchmark models
- Ship reliable AI with confidence
- Building a coding agent that ships safe code to production
- Voice AI quality at scale
- Computer-use agents with high click accuracy
- Autonomous agents in production with high task completion rate
- Benchmarking LLMs for customer support
- Building accurate fintech chatbots
- Improving HR productivity with AI-powered knowledge optimization
- Evaluating meeting summarization
- Faster quiz validation for EdTech
- Improving response rates for AI SDRs
- Faster image AI evaluation for creative workflows
- Convert SOPs to automated tests
- Upload existing call scripts for testing
- Generate synthetic test data
- Design branching conversation flows for testing
- Parameterize with template variables for dynamic test cases
- Generate customer profiles for simulations
- Bootstrap evaluation datasets from zero
- Cover edge cases and adversarial inputs in testing
- Test in regulated industries without PII
- Bootstrap evaluation from scratch
- Turn production failures into tests
- Auto-optimize prompts against data
- Red-team with adversarial suites
- CI/CD regression testing
- Multi-modal agent evaluation
AI approach
Future AGI provides an open-source platform for building, testing, evaluating, and optimizing AI agents, particularly focusing on LLMs. It offers tools for prompt experimentation, simulation with synthetic users (voice and text), real-time evaluation, routing model calls, tracing, and auto-improving agents from production failures. The platform emphasizes testing and improving the reliability and performance of AI agents, including hallucination detection and prompt injection detection.
Tech named: GenAI Infrastructure, Prompt Optimization, AI Evaluation, LLM Experimentation, Artificial Intelligence, Machine Learning, Multimodal Evaluation, LLM observability, Voice AI Testing, Simulation, AI Gateway, AI Guardrail, LLM Infra, Prompt Management, Multi-Agent Systems, RAG Applications, AI Agents, Error Clustering, AI Quality, Hallucination Detection, Prompt Injection Detection, OpenTelemetry, BLEU, ROUGE, Turing models, Gemma 3n, ProTeGi, PromptWizard, GEPA
Industries served
- SaaS
- Enterprise
- Retail
- AI & ML
- Fintech
- EdTech
- Media
- Healthcare
- Finance
- Insurance
What it says sets it apart
- Open-source platform (Apache 2.0)
- Self-hostable
- Visual graph editor for test scenarios (no competitor offers)
- Converts documents (TXT, DOCX, PDF) to test scenarios (no other tool)
- Generates synthetic data from schema without PII or seed data
- Offers 6 prompt optimization algorithms (ProTeGi, PromptWizard, GEPA)
- Comprehensive tracing with OpenTelemetry for 79+ frameworks
- Real calls, real audio, real evaluation for voice and chat simulation, not just transcripts
- Dynamic columns in datasets that auto-compute
- Version control for datasets and experiments
- Built-in guardrails and ML Protect for content moderation
- Strong security and compliance certifications (SOC 2 Type II, ISO 27001, GDPR, CCPA, HIPAA)
Funding rounds we track
Powerhouse Ventures, Snow Leopard Ventures, Angellist Quant Fund, Saka Ventures, Swadharma Source Ventures, Snow Leopard Technology Ventures
From the AI funding tracker — rounds as reported by the linked publications.
This profile was compiled from Future AGI's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.