Self-improving rules for AI agents.

AI agents. Under control.

Define your boundaries. BIGHUB simulates every action, learns from every decision, and makes your rules smarter over time.

AI Agents decide. BIGHUB makes it smarter

Every action is stress-tested across 1000 scenarios before it reaches production.

BIGHUB sits between AI reasoning and real-world execution. Agents can plan and decide, but real-world actions execute only within your defined limits.

Augmented autonomy.

Augmented autonomy.

Deploy agents that improve with every decision.

Deploy agents that improve with every decision.

Decision Intelligence

Every agent action is simulated and scored in real-time. You see the risk, the fragility, and the impact — before execution.

Dashboard interface
Dashboard interface
An office with people working

Safe execution

If an AI agent exceeds defined financial, operational, or behavioral boundaries, execution is automatically blocked before financial or operational impact.

Decisions that compound

Decisions that compound

BIGHUB learns from every governed action. Patterns are detected, policies improve automatically, and your agents get smarter over time.

Screen mockup of a dashboard interface
Screen mockup of a dashboard interface

Designed to govern autonomous AI decisions.

Designed to govern autonomous AI decisions.

.01

Connect agent runtimes

Integrate your AI agents with BIGHUB through our SDK, adapters, and MCP server. Every agent decision flows through BIGHUB before execution.

.02

Define your boundaries

Set financial, operational, and behavioral limits. These boundaries are the foundation BIGHUB learns from.

.03

Every action, simulated and scored

Before execution, every action is stress-tested and scored for risk and fragility. Safe actions execute. Risky actions are blocked or escalated.

Why BIGHUB?

Why BIGHUB?

Intelligence doesn't slow autonomy. It makes it smarter.

Intelligence doesn't slow autonomy. It makes it smarter.

Agents act in production

Your agents make real decisions with real consequences. Every action needs intelligence behind it.

Agents act in production

Your agents make real decisions with real consequences. Every action needs intelligence behind it.

Simulated before execution"

Every action is stress-tested across 1000 scenarios. Risk and fragility are scored before anything executes.

Simulated before execution"

Every action is stress-tested across 1000 scenarios. Risk and fragility are scored before anything executes.

Learns from every action

Future Memory detects patterns and recommends smarter policies — automatically.

Learns from every action

Future Memory detects patterns and recommends smarter policies — automatically.

More agents, more intelligence

Every new agent and every new action makes the system smarter. Scale without increasing risk.

More agents, more intelligence

Every new agent and every new action makes the system smarter. Scale without increasing risk.

Pricing.

Choose your level of governance. Free forever for one AI agent domain.

Choose your level of governance. Free forever for one AI agent domain.

Starter

Free

Decision intelligence for one agent domain. Every action simulated and scored before execution.

FEATURES

Decision simulation & scoring (100 scenarios)

Financial & operational boundaries

Global emergency STOP

Decision audit trail

Automatic pattern learning

Starter

Free

Decision intelligence for one agent domain. Every action simulated and scored before execution.

FEATURES

Decision simulation & scoring (100 scenarios)

Financial & operational boundaries

Global emergency STOP

Decision audit trail

Automatic pattern learning

Pro

$399/month

Full decision intelligence with self-improving rules for teams deploying multiple agents at scale.

FEATURES

Role-based governance controls (RBAC)

Multi-domain agent policy management

Future Memory — policy recommendations from learned patterns

Full simulation mode (1000+ scenarios)

Domain-level kill switches

Pro

$399/month

Full decision intelligence with self-improving rules for teams deploying multiple agents at scale.

FEATURES

Role-based governance controls (RBAC)

Multi-domain agent policy management

Future Memory — policy recommendations from learned patterns

Full simulation mode (1000+ scenarios)

Domain-level kill switches

Enterprise

Custom Pricing

Strategic decision infrastructure for mission-critical autonomous systems.

FEATURES

Dedicated isolated environment

Advanced security & compliance-grade auditability

Decision contracts & enforceable policy engine

Strategic risk intelligence & bounded autonomy optimization

Custom integrations & enterprise SLA

Enterprise

Custom Pricing

Strategic decision infrastructure for mission-critical autonomous systems.

FEATURES

Dedicated isolated environment

Advanced security & compliance-grade auditability

Decision contracts & enforceable policy engine

Strategic risk intelligence & bounded autonomy optimization

Custom integrations & enterprise SLA

Talk to the BIGHUB Team

Enterprise plans, partnerships, integrations, or strategic discussions.

We typically respond within 24 hours.

Frequently Asked Questions.

Simple answers to what most teams ask before joining BIGHUB.

How long does integration take?

Integrated via Python SDK, adapters, or MCP server. Live in minutes.

Does BIGHUB replace our AI agents?

No. Your agents keep running. BIGHUB governs how and within which limits they are allowed to execute actions.

What happens if an agent exceeds its limits?

Execution is automatically constrained by your policies. You can stop activity instantly with a global or domain-level kill switch.

Do you store our data?

No. BIGHUB does not store your business data. It evaluates execution requests in real time against your governance rules.

Can we define custom policies?

Yes. You define financial, operational, and execution boundaries that agents must respect before acting.

How does BIGHUB improve decision quality?

Every action is simulated across 100+ scenarios and scored for risk, fragility, and blast radius. Rules improve automatically from learned patterns.

Where does BIGHUB sit in the architecture?

BIGHUB evaluates every agent action before execution, simulating impact, scoring risk, and improving your rules over time.

How is BIGHUB different from AI guardrails?

Guardrails only block. BIGHUB blocks, simulates every action across 100+ scenarios, scores risk and impact, and learns from every decision to make your rules smarter over time.