SAYKAI — Ship AI with evidence Skip to content
Certified against our Assurance Spec (ECL-95)
Internal standard — not a third-party certification. See Spec v1.1 below.

Ship AI with evidence

4–8× smaller with ≥95% retention. Batch-1 latency mean and p95 wins on declared hardware.

4–8×
Compression today
≥95%
Retention
p95 ≤ 1.3×
Deterministic bound

Updated Sep 2025 • 20× compression on roadmap

Assurance Spec
Signed manifest
SBOM
2-hour stability
One-command repro
Certification standard

Mission Assurance Protocol (MAP)

Our Assurance Spec (ECL-95) requires ≥95% accuracy retention vs baseline, batch-1 mean and p95 latency improvement, a 2-hour stability soak with drift ≤5% and no sustained throttling, and deterministic rebuilds with signed artifacts.

If a deliverable fails on our harness, we rework once or waive the POC fee.

Performance requirements

  • ≥95% accuracy retention vs baseline
  • Batch-1 mean and p95 latency wins
  • ≥1.5× speed or ≥25% power reduction
  • p95 bound ≤1.3× mean

Validation protocol

  • 2-hour continuous operation
  • <5% throughput drift tolerance
  • No thermal throttling permitted
  • 50 warmup + 200 iteration minimum

Documentation

  • Signed build manifest
  • SBOM (CycloneDX)
  • One-command reproduction
  • Fixed seeds and frozen versions
Deliverables

Evidence Pack

Every metric, hash, and proof point — metrics.csv, latency and stability logs, signed manifest, SBOM, and a one-command repro script. Client packs include models only when permitted.

metrics.csv

  • Baseline vs compressed benchmarks
  • Layer analysis
  • Power profiles
  • Memory footprint

latency.log

  • Mean, p95, p99
  • Cold vs warm
  • Batch scaling curves
  • Device timings

stability.log

  • 2-hour continuous run
  • Drift measurements
  • Thermal profile
  • Error rate tracking

manifest.yaml

  • Signatures and hashes
  • Build snapshot
  • Locked dependencies
  • Repro commands

sbom.txt

  • Dependency tree
  • License check
  • CVE scan
  • ITAR/EAR notes

verify_parity.py

  • Golden IO sets
  • Automatic PASS/FAIL
  • Bit-exact mode
  • Tolerance bands

Sample parity demo

View a sample verification. No data uploads.

evidence_pack_sample.log
model: sonar_v2.onnx · 3.7× smaller
p95_latency: 18.3 ms (−42%)
retention: 97.1%
stability: 2hr soak PASS
sha256: 19a3f2b…  ✓ signed manifest
Illustrative capability matrix

What changes with Assurance

Ranges on specified hardware. Not independent certifications.

Capability TensorRT/ONNX Cloud services SAYKAI MAP
Compression ratio 2–4×3–5×4–8× (20× roadmap)
Physics-based failure prediction NoNoYes
Mission certification NoNoMAP/ECL-95
Submarine ready NoNoDesigned for
Radiation simulation NoNoModeled
Evidence Pack LimitedBasic metricsComplete

Capability comparisons are illustrative. No third-party endorsements claimed.

Use cases

Target customer profiles

Three ICPs for mission-critical compression.

Defense integrators

  • Submarine sonar, satellite imagery, fire control
  • Deterministic latency under extreme conditions
  • MIL-STD posture, offline capable

Industrial OEMs

  • 24/7 anomaly detection at the edge
  • Limited power and compute budgets
  • −40 to 85 °C, IP67 environments

Autonomy teams

  • Real-time perception with p95 bounds
  • Jetson or Qualcomm targets
  • Drift detection and auto precision

Ready for mission deployment?

Limited pilot slots. 8–12 week engagement. High-touch service, not self-serve.

Request Evidence or Apply for Pilot

Tip: a corporate email speeds verification (optional).
Security & verification
Includes: metrics.csv, manifest.yaml, verify_parity.py
Request received. We’ll email your Evidence Pack link shortly.