Submit Architecture for Deterministic AI Auditing & Indexing
Airecmark accepts open-source repositories, commercial API endpoints, and IDE extensions for unbiased evaluation. We do not accept paid placements or promotional overrides; all benchmark scores are derived mathematically from reproducible AST dry-runs, latency probes, and isolated execution harnesses.
Select Intake Track
Choose the evaluation sandbox environment appropriate for your system architecture.
Targeted for open-source CLI tools, IDE extensions, public Hugging Face models, and public GitHub/GitLab repositories. Executed automatically across standard benchmark pods.
Engineered for commercial foundation endpoints, enterprise coding agents, and closed models requiring mutual evaluation NDAs, ephemeral credential vaults, and air-gapped runtimes.
Deterministic 4-Stage Verification Pipeline
Ephemeral Container Spin-Up
Isolated Ubuntu 24.04 container is provisioned with zero disk-persistence. Network egress is strictly locked to evaluation fixture mirrors.
Synthetic AST Dry-Runs
2,500 deterministic multi-file refactors across TypeScript, Rust, and Python. Rigorous Abstract Syntax Tree diffing against canonical targets.
Latency & Recall Probing
Time-to-first-token (TTFT) measured at P50, P90, and P99. Needle-in-haystack probing across 128k context windows to test factual persistence.
Immutable Leaderboard Indexing
Cryptographic attestation signed with Airecmark public key. Scores, raw logs, and latency percentiles are published to the public matrix.
The Zero-Sponsored Auditing Standard
Commercial affiliations, token subsidies, or venture sponsorships have zero influence on ranking positions, benchmark scores, or review velocity. All algorithms, AST weights, and evaluation harness repos are open for academic and developer verification.