01
Runtime Assurance
Continuous supervision of autonomous AI systems during operation.
Research & Development
Building theInfrastructureBehind Autonomous AI
Gran Baron Labs is an independent deep technology research and development project building foundational infrastructure for the next generation of AI-powered autonomous systems.
We are currently developing our first platform, Anatax, designed to help organizations monitor, govern, and control autonomous AI systems operating in real-world environments.
Autonomy Under SupervisionLive
- evaluated
- Policies
- verified
- Integrity
- configured
- Response
INDEPENDENT R&D PROJECTRUNTIME ASSURANCEPOLICY EVALUATIONMACHINE IDENTITYFLEET TELEMETRYANATAX / IN DEVELOPMENTOBSERVE · VERIFY · ENFORCE · CONTROLINDEPENDENT R&D PROJECTRUNTIME ASSURANCEPOLICY EVALUATIONMACHINE IDENTITYFLEET TELEMETRYANATAX / IN DEVELOPMENTOBSERVE · VERIFY · ENFORCE · CONTROL
01About
Engineering the Next Generation of Autonomous Systems
Artificial intelligence is rapidly moving from digital assistants into autonomous vehicles, robotics, defense systems, industrial automation, and critical infrastructure.
As AI systems gain greater autonomy, organizations need trusted infrastructure that provides security, operational oversight, and policy enforcement while these systems are running.
Gran Baron Labs exists to build that infrastructure.
No external mandate
Independent
Research phase
Pre-product
Assurance at operation
Runtime-first
02Current Project
Anatax
AI Runtime Assurance & Control Platform
Currently in DevelopmentAnatax is being designed as an independent runtime assurance platform for AI-powered autonomous systems.
Instead of replacing mission software, Anatax supervises autonomous AI during operation, continuously evaluating system behavior against human-defined security and operational policies.
When required, Anatax can assist operators by providing visibility, enforcing configured policies, and initiating predefined safety actions.
03Research Areas
Eight problems we are studying
Each area feeds the Anatax architecture. None are finished products.
02
Runtime Security
Runtime monitoring, integrity verification, and threat detection.
03
Policy Enforcement
Human-defined operational and security policies evaluated in real time.
04
Runtime Control
Support for customer-configured responses such as safe mode, mission abort, return-to-base, or human approval workflows.
05
Identity & Trust
Machine identity, Zero Trust concepts, certificate management, and secure communications.
06
Fleet Management
Manage autonomous systems across distributed deployments.
07
Observability
Telemetry, metrics, logs, traces, dashboards, and alerts.
08
AI Safety
Research into mechanisms that improve trust, transparency, and operational assurance for autonomous AI systems.
04Vision
Building Trust for Autonomous AI
The next generation of autonomous systems will require more than intelligent software.
They will require infrastructure capable of continuously supervising AI behavior, enforcing operational constraints, and providing organizations with confidence that autonomous systems remain aligned with human intent.
Gran Baron Labs is exploring technologies that support this future.
05Technology
The working stack
Chosen for observability at the kernel boundary, portable policy evaluation, and verifiable machine identity.
Linux
Go
Python
C
Docker
Kubernetes
eBPF
OpenTelemetry
Prometheus
Grafana
Open Policy Agent
PKI
TLS
06Development Roadmap
From research to a supervised fleet
- 2026
Research begins
Problem definition, threat modeling, and architecture exploration.
- Stage 02
Core Platform Development
Foundational services, data model, and platform interfaces.
- Stage 03
Runtime Agent
On-system component for telemetry collection and integrity checks.
- Stage 04
Runtime Assurance Engine
Policy evaluation and response orchestration during operation.
- Stage 05
MVP
End-to-end supervision of a reference autonomous system.
- Stage 06
Pilot Programs
Evaluation alongside operators in controlled deployments.
- Horizon
Future Commercial Launch
Availability beyond pilot participants.
Sequence is indicative. Dates beyond the start of research are not committed.
07Philosophy
01
Observe.
Continuously watch autonomous behavior as it happens.
02
Verify.
Check actions against declared policy and intent.
03
Enforce.
Hold operational constraints under real conditions.
04
Control.
Enable the response the operator configured in advance.
Every autonomous AI system should operate within clear, human-defined boundaries.
Our research focuses on software that continuously observes autonomous behavior, verifies actions against policy, enforces operational constraints, and enables appropriate responses when intervention is required.