Enterprise AI company offering Jamba language model APIs, AI21 Studio and custom post-training of models on a company's own data.

Future AGI
Platform for tracing, evaluating, simulating and guarding LLM apps and AI agents, with a gateway, usage-based billing and a free tier.
What is Future AGI?
Future AGI is a platform for teams that build LLM applications and AI agents, combining tracing and observability, evaluations, datasets, prompt management, simulations, a gateway called Command Center, and guardrails. You send traces from your app, score outputs with heuristic checks, code evals or LLM-as-judge, test agents against personas and scenarios in text or voice, and route model calls through the gateway with caching and budgets. Pricing is usage-based across storage, AI credits, gateway requests, cache hits, simulation and tracing events, and every organization starts on a Free plan with monthly allowances and no card. The pay-as-you-go plan retains those allowances and charges for usage beyond them, and Boost, Scale and Enterprise add platform fees for higher limits and longer retention. The company also publishes its code on GitHub under Apache-2.0, though the billing docs cover the hosted Cloud and say self-hosted installs are licensed separately.
Use cases
- Trace LLM and agent runs in production
- Evaluate output quality with LLM-as-judge
- Simulate text and voice agent conversations
- Route model calls through a gateway
- Apply guardrails for PII and toxicity
- Manage and version prompts
- Annotate traces with review queues
- Build datasets for experiments
Who it's for
Why use Future AGI
- Tracing, evals, simulation, gateway and guardrails share one platform, so findings from production can feed straight into tests.
- Every product starts with a free monthly allowance, and most small projects can try it without a card.
- Heuristic evals and the 15 rule-based guardrails cost nothing at any volume.
- Billing limits and a published calculator help you estimate spend before you scale.
- A gateway with caching and budgets lets you control model cost from the same place you monitor quality.
Future AGI features
- Tracing with 11 span types, sessions and agent graph views
- Heuristic, code and LLM-as-judge evaluations
- Text and voice simulation with 28+ pre-built personas
- Command Center gateway with routing, caching and failover across 15+ providers
- 15 built-in rule-based guardrails at no cost
- ML guardrails and external integrations such as Lakera and Llama Guard
- Datasets and experiments with multi-model comparison
- Prompt versioning, labels and an agent playground
- Annotation queues with 5 label types
- Falcon AI error analysis and auto-tagging
- US (Ohio) and EU (Frankfurt) region choice
Future AGI integrations
How to get started with Future AGI
- Sign up for the free tier and create a project, choosing a US or EU region.
- Instrument your app so traces from LLM calls and agent runs reach the platform.
- Build datasets and evaluations from those traces, then add guardrails or route calls through the gateway.
- Run text or voice simulations before launch, and move to Pay-as-you-go or an add-on when you need higher limits or retention.
Future AGI limitations
- The Free plan is hard-capped, so calls stop once an allowance is spent
- Free and Pay-as-you-go keep only 30 days of data
- Free and Pay-as-you-go are limited to 3 monitors and 3 alerts
- Boost, Scale and Enterprise need Pay-as-you-go and a card on file
- Self-hosted installs are licensed separately from the hosted plans
Future AGI pricing
Yes, Future AGI has a free plan.
Future AGI plans
Free
$0
- 50 GB storage and 2,000 AI credits included
- 100,000 gateway requests included
- 30-day data retention
- 3 monitors and 3 alerts
- Hard-capped at the allowance
Pay-as-you-go
$0
platform fee; usage billed past allowances
- Same free allowances as Free
- Usage past allowances billed on rates
- 30-day data retention
- 100 API requests per minute
Boost
$250.00/month
$2,700/year if billed annually
- 15 monitors and alerts
- 500 API requests per minute
- 90-day retention
- Add-on on top of Pay-as-you-go
Scale
$750.00/month
$7,200/year if billed annually
- Unlimited monitors and alerts
- Concurrency of 50
- 2,000 API requests per minute
- 365-day retention
Enterprise
$2,000.00/month
$19,200/year if billed annually
- Unlimited limits and rate
- 7-year retention
- Add-on on top of Pay-as-you-go
Plans as listed on the official pricing page on . Prices can change and may vary by country or exclude tax. Check the official pricing page.
Future AGI alternatives
The main Future AGI alternatives listed on Debuly are Langfuse, Arize Phoenix, Helicone, Braintrust, Galileo and Arize AX. The table compares pricing and platforms; order is A–Z.
| Tool | Pricing | Starting price | Platforms |
|---|---|---|---|
| Future AGI | Freemium | — | Web, API, Self-hosted |
| Arize AX | Freemium | $50/mo | Web, CLI, Self-hosted |
| Arize Phoenix | Open source | — | Web, Self-hosted, Docker, Kubernetes |
| Braintrust | Freemium | $249/mo | Web, API, Self-hosted |
| Galileo | Freemium | $100/mo | Web, Self-hosted |
| Helicone | Freemium | $79/mo | Web, API, Self-hosted |
| Langfuse | Freemium | $29/mo | Web, API, Self-hosted, Docker |

Arize AX
Observability and evaluation platform for AI agents and LLM apps, with tracing, issue detection and experiments on a free plan.
FreemiumVisit Arize AX (official site)
Arize Phoenix
Open-source tool for tracing, evaluating and experimenting on LLM apps and agents, free to self-host or run locally.
Open sourceVisit Arize Phoenix (official site)
Braintrust
AI observability and evaluation platform for tracing LLM apps and agents, scoring outputs and catching regressions before release.
FreemiumVisit Braintrust (official site)
Galileo
AI observability and eval platform that tunes evals to your data and turns them into guardrails for LLM apps and agents.
FreemiumVisit Galileo (official site)
Helicone
Open-source LLM observability and AI gateway that logs requests, tracks cost and latency, and routes to 100+ models through one API.
FreemiumVisit Helicone (official site)
Langfuse
Open-source LLM observability and evaluation platform for tracing agents, managing prompts and scoring outputs.
FreemiumVisit Langfuse (official site)
Future AGI FAQ
How much does Future AGI cost?
The platform fee is $0 on Free and Pay-as-you-go. Add-ons are Boost at $250 per month, Scale at $750 per month and Enterprise at $2,000 per month, with usage billed on top at published rates.
Is there a free plan for Future AGI?
Yes. Free needs no card and includes 50 GB storage, 2,000 AI credits, 100,000 gateway requests, 1 million text simulation tokens and 60 voice minutes each period.
What plans does Future AGI have?
Free, Pay-as-you-go, Boost, Scale and Enterprise are self-serve, and a Custom contract is arranged with the company. Annual billing on add-ons is $2,700, $7,200 and $19,200 a year respectively.
Does Future AGI have an API?
Yes. The docs list API request rate limits of 100 per minute on Free and Pay-as-you-go, up to unlimited on Enterprise, and the platform supports ingestion through its traceAI libraries.
Is Future AGI open source?
Its GitHub repository is published under Apache-2.0. The billing documentation covers the hosted service and notes that a self-hosted install is licensed separately.
What are alternatives to Future AGI?
Alternatives for LLM observability and evaluation include Langfuse, Arize Phoenix, Helicone and Braintrust.
Sources & verification
Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.
| Source | Type | Accessed |
|---|---|---|
| futureagi.com | official | |
| github.com/future-agi/future-agi | repository | |
| docs.futureagi.com/docs/billing/reference/pricing/ | pricing | |
| futureagi.com/pricing/ | pricing | |
| docs.futureagi.com/docs/billing/guides/manage-your-plan/ | pricing | |
| docs.futureagi.com/docs/billing/concepts/what-you-are-billed-for/ | pricing |
Image credits
- Logo: from futureagi.com · fetched · Vendor trademark, used only to identify the product; removed on request
- Cover: none collected yet, so a generated tile is shown.
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