The first RL-powered Agentic Accuracy and Safety Platform for regulated industries. Simulate, validate, and deploy agents with complete confidence.
Works with all leading agent building platforms—making your agents 20x more accurate and safe
RL gym simulating and validating agent actions
Guardian layer protecting enterprise agents
Industry-specific foundation models
National context & control plane
Every agent action is simulated against your policies before deployment
Packaging into SafeContext
127
Policies Loaded
12.4K
Validations
Customer Service Agent
Pll Protection
Customer Service Agent
Data Access Control
Customer Service Agent
Authorization Required
Customer Service Agent
2
Approved
1
Blocked
100%
Compliant
RL Gym for Regulated AI
SafeContext is a reinforcement learning environment that ingests your data, metadata, process graphs, and policies to simulate agent actions before deployment.
Banking Use Case
Credit Card Fee Reversal Process
Customer Request
“Please reverse the $35 overdraft fee from yesterday”
SAFE CONTEXT
Fee reversal for $35 overdraft
Policy:
Customer Service Policy
Check account history & status
Policy:
Risk Management Policy
Agent authorization level
Policy:
Authorization Matrix
Credit $35 to account
Policy:
Transaction Policy
Record for compliance
Policy:
SOX Compliance
5
Steps Validated
100%
Compliant
0.3
Simulation Time
SafeAgent acts as a protective middleware, intercepting and validating,
every action from your enterprise agents in real-time
Sending actions to SafeAgent
1247 actions
892 actions
2341 actions
567 actions
12.4K
Protected
16:00:00
Modify credit limit
Validated request
16:15:58
Access financial data
Validated request
16:17:19
Modify credit limit
Policy violation
16:00:00
Create incident ticket
Validated request
16:00:00
Modify credit limit
Validated request
3
Approved
2
Blocked
100%
Compliant
Industry-Specific Foundation Models
Foundation models trained in post-training cycles specifically for your company’s context, continuously refined with validated data from SafeContext.
99.4%
healthcare-foundation-7b
Active
Medical compliance & patient data
finance-foundation-13b
Active
government-foundation-7b
Active
SafeAgents
Systemic Policies
SafeAgents
Systemic Policies
SafeAgents
Systemic Policies
SafeAgents
Systemic Policies
18:19:38
Healthcare Network
18:20:38
Energy Infrastructure
18:21:38
Government Services
18:22:38
Financial System
SafeNation is a federated “Context & Control Plane” that makes autonomous AI agents safe to operate within and between critical infrastructure sectors like financial systems, energy grids, and healthcare networks.
Not a Security Tool—A Governance Layer
SafeNation is a live, versioned knowledge graph of systemic processes, policies, and constraints. It provides situational awareness to prevent harmful agentic behavior through context, not firewalls.
Deploy the entire Safe Stack instantly with our simple
Python SDK—go from pilot to production in minutes, not months
Join regulated enterprises deploying AI agents with complete safety and compliance
Trusted by AI teams in healthcare, finance, and government