Sorika®
Intelligence
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Sorika — Lone Thinker in Dawn Grassland

Intelligence, thoughtfully built.

An independent multimodal research studio. We architect ultra-compact, sovereign foundation models that perceive, reason, and speak with extreme mathematical frugality.

Fast

Designed to Work at Frontier Scale.

A structured approach to managing complex intelligence systems — from sub-15ms neural voice to high-throughput multilingual speech recognition.

Explore all model cards
01/03
Suzune S1 Series·Voice · S1 Mini

Ultra-compact neural speech synthesis for edge devices.

35M parameter lightweight neural voice engine engineered for sub-15ms latency, local client runtimes, and low memory footprints.

Suzune S1 Mini
Voice · S1 Mini01
Suzune S1 Series

Suzune S1 Mini

35M parameter lightweight neural voice engine engineered for sub-15ms latency, local client runtimes, and low memory footprints.

Suzune S1 Flash
Voice · S1 Flash02
Suzune S1 Series

Suzune S1 Flash

80M non-autoregressive foundation model delivering 24kHz studio HD audio, zero acoustic hallucinations, and sub-20ms first-chunk streaming.

Vaani 2.1 Flash
ASR · 2.1 Flash03
Vaani Series

Vaani 2.1 Flash

809M high-speed foundation ASR architecture operating at 21.5x–30.3x RTF with #1 English 5.90% WER on leaderboard benchmarks.

02 / REAL-TIME VOICE FOUNDATION

Acoustic intelligence.
Sub-20ms streaming latency.

166/2000·33 words
Lian/ Male
Conversational · Friendly
Elia/ Female
News · Authoritative

Want to use this API?

Try in Studio

AI models. Yours to deploy.

Built to run where you need them. On your phone, your laptop, your servers, or inside a facility that never connects to the outside.

Models

Vaani Series

The flagship speech recognition & audio foundation model.

Suzune S1

Ultra-compact, studio HD voice, built to run on the edge.

Deployments
Cloud
On-prem
On-device
Air-gapped
Hybrid
Runtimes
GGUF
Ollama
MLX
CUDA
llama.cpp
PocketPal
CoreML
Size

35 MB. The whole model.

Small enough for a laptop or a phone. Nothing cut out to get there.

18 GB · Full base
35 MB · Suzune S1
Speed
230tokens/s

Reads 230 tokens a second on an iPhone.

How fast it takes in what you send. No server.

iPhone 17 Pro230.7
Mac M2, 16GB~130
Windows, CPU only6.4
Open weights

Download it. Keep it.

No API key. No expiry. Runs on your machine for good.

Local

Pull the cable. It keeps answering.

Private AI on your computer. No internet, no server, nothing leaves the device.

Sorika / Reverie Local
Offline · running locally
$model loaded in unified RAM (0 network calls)
Privacy

Private by default. The model goes to the data. The data stays home.

On your device, on your servers, or air-gapped. Nothing is sent out.

Zero telemetry
100% Air-gapped ready
Client-side weights

Meet Reverie.

An AI that becomes yours.

DelegateAutonomous workflow

Give it the task, not the steps.

Reverie plans the steps, navigates the codebase, runs tests, and opens complete PRs without hand-holding.

Fix the login bug and open a PR.$
Reverie
Done in 2m 14s
Read the repo
Found the check in auth/session.ts
Edited the code
2 files changed +16 -6
Ran the tests
48 passed, 0 failed
Opened the PR
#214 · ready for review
Pull request #214 · Open

Latest research

View all
Suzune S1: Non-Autoregressive Speech Foundation Engine

Suzune S1: An 80M Parameter Non-Autoregressive Speech Foundation Engine

Research·Aug 2026
Lab Preview
Forthcoming research publication
Active investigation in progress