Investor
Benchmarking & Performance
Performance comparison between traditional UI and AIVA’s generative interface with benchmark data.
Extract from the internal Q1-2025 Performance Report, 30-run median values. Full raw dataset, test harness, and replay scripts are available on request.
| Metric | Baseline (Conventional UI / Workflow) | AIVA Generative UI | Δ (Gain) |
|---|---|---|---|
| Task-Execution Latency¹ | TUI = 3.1 s (single RPC + DOM render) | TAIVA ≈ 0.60 s | 5.2 × faster |
| Manual Interaction Steps | 7–9 clicks / taps (avg 7.6) | 0 (single prompt) | 100 % reduction |
| Multi-Step Automation | Sequential / user-driven | Parallel, RL-optimised | n/a (qualitative) |
| State Adaptability | Static (hard-coded) | Live context re-render (≤ 130 ms diff-patch) | — |
¹Measured on a 6-core M2 MBP, 1 Gbps fibre, against Ethereum mainnet RPC (Alchemy) and Uniswap v3 SDK. All numbers are medians over 30 cold/warm cycles.
End-to-End Scenario Benchmarks
| Workflow | Legacy (Apps / Time) | AIVA | Effective Speed-up |
|---|---|---|---|
| Token list → chart → swap | 3 apps / ≈ 5 min | Prompt-chain, 12 sec | ~25 × |
| Yield search → stake (3 protocols) | Manual wallet hopping / > 4 min | 8 sec | 30+ × |
| Cross-platform hotel + flight booking | 4 sites / ≈ 15 min | 30 sec | ~30 × |
Methodology Snapshot
- Test Harness: Custom Playwright + Hardhat fork for deterministic chain state; Chromium headless for DOM metrics.
- Sample Size: 30 iterative runs per task, mixed cold (first-render) & warm (cached) states.
- Hardware: Apple M2, 24 GB RAM, 1 Gbps symmetrical fibre.
- Networks / APIs:
- Ethereum mainnet (Alchemy) ⸺ block #19 099 321 snapshot
- Uniswap v3 SDK 1.24.3
- AIVA alpha build a1.0.7 (NTO-0.9, DRL-beta, AEF-bridge-1)
Key Takeaway – AIVA’s generative approach removes UI traversal entirely, collapsing multi-window workflows into a single intent cycle and achieving order-of-magnitude speed-ups without sacrificing on-chain verifiability.