RippleRank
RippleRank
RippleRank turns audio into searchable, classifiable, anomaly-detectable embeddings that learn new classes in real time — powered by pure wave physics. 92.22% crystal probe accuracy. 10/10 architectural milestones closed. Record once. Crystallize. Deploy forever.
1) Click Record — make a sound (clap, word, tap) — auto-stops at 1.5s
2) RippleRank calls /add_crystal — no training, just wave physics
3) Click Test Recall → /embed returns real confidence + anomaly score
Each demo shows a distinct capability — anomaly detection, one-shot learning, and benchmark proof. All powered by the same Resonance Field Engine.
Embeds a clean 440 Hz tone, then the same tone buried in noise.
anomaly_score separates — clean stays near 0, degraded spikes toward 1.
No labeled failure data needed.
Crystallizes a synthesised coffee-machine tone in one call, then
immediately tests recall against a noisy version via
/embed.
Match score proves the crystal works. No training loop.
v87's crystal centroids — computed from the full-stack field using homodyne scoring — classify 10 keywords at 92.22% accuracy on a held-out 50/50 split with zero leakage. No linear head, no labels at inference. The crystals ARE the classifier. 10/10 GAP closures validated.
All of them deal with the same problem: every new sound means a new training run. RippleRank eliminates that.
Every existing audio API charges per minute and requires retraining for new classes. RippleRank learns once, remembers forever, and charges a flat monthly rate.
| Provider | Pricing | What they offer | The gap |
|---|---|---|---|
| Deepgram | $0.0077/min | Streaming STT + keyword detection | Must retrain for every new sound class |
| AssemblyAI | $0.0025–$0.15/hr | Transcription + speaker diarization | Slow custom vocab, no continual learning |
| OpenAI Whisper | ~$0.006/min | General-purpose transcription | No anomaly scores, no one-shot new classes |
| ElevenLabs | Credits (~$0.05/min) | Voice cloning + TTS generation | No classification or anomaly detection |
| RippleRank (v87) | $29–$499/mo flat | 92% crystal classification + one-shot + anomaly + multimodal + edge ONNX | One crystal. 10/10 GAPs. No retrain. Ever. |
Start free, scale predictably. Every tier includes one-shot crystal learning and anomaly scores.
RippleRank is built on the Resonance Field Engine — a JEPA world model implemented as pure wave physics. No supervised labels in the training loop. No token embeddings. No classification heads. The math is the model.
We compute phase coherence C[Ψ] = |⟨e^iΔθ⟩|² over the complex field.
v87 reaches coherence 0.983 on real audio. Noise and anomalies collapse it
— giving you an intrinsic confidence and anomaly score with no labels required.
GAP3 (Temporal Horizon) and GAP4 (Reality Grounding) validated.
v87 milestone: centroid crystals from the full-stack field classify 10 keywords at
92.22% accuracy on a held-out 50/50 split with zero leakage.
Recall is pure homodyne cosine scoring: cos(field, centroid).
No gradients, no fine-tuning, no classification head.
GAP5 (Compositional) and GAP6 (One-shot) validated.
A global complex field Ψ persists across all inputs, slowly integrating
via EMA. v87 achieved 20,221 integrations with Ψ magnitude 0.999985 — near
unit-circle stability. Combined with interference memory (20,223 writes, 0.995 decay),
the engine builds cumulative context.
GAP1 (Persistent State) and GAP2 (Interference Memory) validated.
High-coherence inputs skip deeper layers (skip rates up to 70% at layer 3), reducing compute while maintaining accuracy. Exploration gain differs between low and high coherence states — the engine self-regulates its processing depth. GAP8 (Energy Efficiency) and GAP9 (Self-Regulation) validated.
All modalities produce complex fields with the same D=128 dimension.
Audio via STFT wave encoding, vision via Gabor filters, text via phase encoding.
Unified field representation enables cross-modal crystal matching.
GAP7 (Multimodal) validated.
The engine exposes 8 action readout ports that produce non-zero signals directly from the field state — enabling downstream decision-making, routing, and control without additional learned heads. GAP10 (Unified System) validated. All 10/10 GAP closures confirmed.
The v87 breakthrough validates the core architecture. These products build directly on proven results — same physics engine, new capabilities.
A language model with zero embedding tables and zero attention heads. Tokens are waves. Context flows through O(n log n) FFT causal resonance. Crystal readout replaces the linear output head — next-token prediction via cosine similarity with learned centroids. Pure physics from input to output.
Audio, vision (Gabor filters), and text (phase encoding) all produce complex fields with the same D=128 dimension. A crystal formed from audio can match against a text query — and vice versa. Enables voice-to-text search, audio-visual correlation, and multimodal anomaly detection without separate models per modality.
Scale the engine from 730K to billions of parameters without KV caches or quadratic attention. Wave compression reduces O(n) memory to O(log n) crystallized summaries. Cascaded resonance fields form hierarchies — local patterns crystallize first, then feed into higher-level fields for abstract reasoning.
Plug-and-play anomaly detection for manufacturing lines. USB microphone + edge device runs the ONNX model locally. Crystallize "healthy" machine sounds on day one. Coherence-based alerting when degradation begins — before the machine fails. Self-regulating skip layers (GAP8/GAP9) cut edge compute by up to 70%.
Give AI agents long-term audio memory. Persistent field Ψ (GAP1, 20K+ integrations validated) accumulates context across conversations. Interference memory (GAP2) enables pattern recall. Crystal bank grows with every interaction — the agent remembers voices, sounds, and context without retraining.
We replaced a 14M-parameter classifier and a weekly retraining pipeline with one RippleRank endpoint. New defect sounds get added in seconds — by the operators, not the ML team.
If your blocker isn't here, email [email protected] — we reply within a day.
RippleRank