Company
Built by systems engineers, not AI hype merchants.
Zansn Labs is an Australian AI assurance infrastructure company developing local-first infrastructure for agentic and high-stakes applied AI systems. We build evaluation harnesses, agent observability layers, security harnesses, benchmark protocols, and reproducible evidence systems that help determine whether AI workflows are reliable, private, secure, cost-effective, auditable, and ready for deployment.
Production systems engineering
Systems thinking for reliability, traces, observability, cost, and operational failure modes.
AI evaluation and agent infra
Evaluation harnesses, benchmarks, agent traces, security tests, and reproducible evidence.
Private local/cloud architecture
Local-first experimentation combined with cloud-ready deployment, storage, APIs, and observability.
Evidence Graph
Verified
Hypothesis
HYP-2024-001
Dataset
DS-2024-042
Model Version
M-2024-07-18
Experiment
EXP-0718-01
Failure Mode
FM-2024-003
Run Result
RUN-0718-17
Evaluation
EVAL-0718-01
Analysis
ANA-2024-003
Conclusion
CON-0718-01
Deployment Decision
DEC-0719-01
Graph Overview
Artifacts10
Relationships12
Artifact Types7
Traceable100%
Path to Decision
Hypothesis
HYP-2024-001
Dataset
DS-2024-042
Experiment
EXP-0718-01
Run Result
RUN-0718-17
Evaluation
EVAL-0718-01
Conclusion
CON-0718-01
Deployment Decision
DEC-0719-01
Graph Integrity
All artifacts are versioned
All critical paths are valid
No orphan artifacts
Traceability is complete
Status Verified
Motivates
Feeds / Used in
Evaluated by
zansn.aiAustralian AI Assurance Infrastructure
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