Agent systems
Tool-using systems that research, decide and execute multi-step work with explicit permissions and human approval at critical actions.
Intelligence,
made operational.
Infravane is an applied AI lab and systems company. We design, deploy and operate autonomous agents, intelligence products and adaptive growth infrastructure.
Scoped autonomy.Observable decisions.Measurable outcomes.
Systems
What we design and operate
Three system classes. Each is specified with problem, control model and outputs - not feature slogans.
Intelligence products
Interfaces and internal products that turn fragmented information into traceable decisions, workflows and measurable outcomes.
Adaptive growth systems
Infrastructure that connects customer signals, experimentation and execution into a continuously improving operating loop.
Selected systems
Systems in the field and lab
Honest labels only. No invented customers, metrics or case-study theatre. These are real systems designed and operated by the team behind Infravane.
Agent runtime with hard halt
Autonomous agent stack with KeepAlive workers, deadman checks, approval files for high-risk actions, and a filesystem kill switch that blocks buys while always allowing exits.
System detailPublic operating book
Publish-only ledger of closed operations for external scrutiny. Separates runtime state from the public record so observers see outcomes, not internal noise.
System detailGrowth signal infrastructure
Distribution and monetization infrastructure for AI products in high-friction verticals: organic channels, payment rails the majors refuse, and source-to-revenue tracking.
System detailDeployment standard
How Infravane systems are built
A non-negotiable operating standard for every agent, product surface and growth loop we ship.
01
Scoped autonomy
Agents act only within a declared domain, tool set and spend envelope. Expansion requires an explicit change, not a silent prompt tweak.
02
Observable decisions
Every consequential action leaves a structured record: inputs considered, policy path taken, tool calls made, and result.
03
Human approval gates
Irreversible, high-cost or externally visible actions require a human signal - file, session, or dual-control - before execution.
04
Least-privilege tool access
Tools are granted narrowly. Credentials are not ambient. Read paths and write paths are separated by default.
05
Continuous evaluation
Runtime health, failure modes and outcome quality are measured on a schedule, not only after incidents.
06
Measurable operational outcomes
Success is defined as a change in a real operating metric - not model vanity scores alone.
Lab
Research areas under active work
Not a blog. Three concrete research tracks with operational applications. Full lab →
Reliable agent operation
How tool-using agents stay recoverable under partial failure, network loss and human interruption.
Current questions
- Halt semantics that never strand capital or state
- Approval UX that operators actually use
- Evaluation harnesses for multi-step tasks
Intelligence interfaces
Product patterns that make model output into a decision object with ownership, review and audit.
Current questions
- Traceable decision records across tools
- Human-in-the-loop density vs. speed
- Interfaces for multi-agent handoff
Adaptive systems and evaluation
Closing the loop between live signals, experiments and execution without uncontrolled automation.
Current questions
- Attribution under platform noise
- Safe experiment pacing
- Outcome metrics that resist gaming
Company
Facts
| Brand | Infravane |
|---|---|
| Legal operator | FERAL SIGNAL LIMITED |
| Jurisdiction | Ireland |
| CRO | 814597 |
| Focus | Applied AI systems and technology products |
| Contact | hello@infravane.com |