FantasyLab.ai — Glass-box AI. Local. Open. Yours.

Aurora · Quantitative

If a model can't show its work,
it shouldn't make claims.

Most AI analytics tools are LLMs reading your spreadsheet and pattern-matching plausible-sounding sentences. They hallucinate. They can't be reproduced. They can't be audited.

Aurora runs real research-grade math first — SINDy, HMM, mutual info, persistent homology — and only then asks a local LLM to translate the findings, with every claim grounded in cited public knowledge.

Studio · Cinematic

If a renderer can't simulate light,
it isn't really 3D.

Most "AI video" tools are diffusion models that hallucinate pixels frame-by-frame. They can't render the same shot twice. They can't be edited. They have no source file.

Studio uses Blender's Cycles engine — real path-traced light simulation — directed by a local LLM that plans camera, lighting, and atmosphere. Every render is a real .blend file you keep forever.

Two products. One lab.

Built independently, shipped together, sharing the same local-first foundation. Pick the tool that fits your work — or use both.

AURORA

v2.0 · 599 tests · shipping

Glass-box quantitative intelligence.

For humans analyzing hard data. For AI systems that can't afford to hallucinate. Cloud LLMs guess. Aurora computes.

🧠 Aurora Copilot

for analysts, quants, scientists, engineers

Drop a dataset and get rigorous findings — anomalies surfaced, causal relationships tested, forecasts with confidence bounds, every claim cited to the underlying computation. No cloud LLM guessing. No black-box math.

24+ research-grade methods (Isolation Forest, Granger, HMM, SINDy, persistent homology, Pearl do-calculus, VAR, DTW, BOCPD, Robust PCA, Kalman, EMD)
Six analytical lenses + spacetime system graph + phase-space trajectory
Knowledge-grounded synthesis · seed:* citations · custom KB ingestion (PDF/MD/TXT → bank)
v2.0 just shipped: causal inference, multi-dataset joins, composable findings, Plugin SDK

🛡️ Aurora Cortex

for AI builders, agent developers, AI product teams

The verification layer your AI agents and AI products call when they can't afford to hallucinate quantitative claims. Connect via MCP, the Python SDK, or Decision Contracts.

Aurora MCP server — 7 tools, HTTP transport (Claude Desktop, Claude Code, Cursor, custom agents)
Python SDK with .aurora.json bundle format (SHA-256 + Ed25519 + signer registry)
Decision Contracts — 6 action types (webhook, Slack, Discord, email, log, file) · SSRF-guarded
BYO-LLM — Anthropic, OpenAI, Gemini, Ollama, OpenAI-compatible · GPU embeddings (CUDA/MPS)
Streaming connectors — file-watcher, SSE bus, Kafka, Postgres CDC

Aurora Studio with Anomalies lens + intelligence tiles

[ aurora console — anomalies lens + intelligence tiles ]

A real run on a 9,357-row air-quality dataset. AUTO tier. ~14 seconds local. 0 fabricated. 12 cited knowledge entries.

599tests passing

24+research-grade methods

6analytical lenses

100%local execution

Get Aurora → View on GitHub

// run aurora locally in 60 seconds

git clone https://github.com/FantasyLab-ai/aurora.git
cd aurora
python -m venv .venv
source .venv/bin/activate          # Windows: .venv\Scripts\activate
pip install -r requirements.txt

# Optional substrate-layer extras
pip install cryptography           # Ed25519 bundle signing
pip install mcp                    # MCP server for LLM agents

# Run the Studio
python studio_api.py

Open http://127.0.0.1:8000 → click ▶ Try a demo → 10-second smoke test, or drop your own CSV / Parquet / JSON / XLSX.

STUDIO

v1.0 · launching mid-may

Local AI that directs real 3D cinematic video from a single prompt.

Type a scene. AI directs casting, camera, lighting, and pacing. Blender renders it locally with Cycles ray-tracing. Real light. Real .blend files. No cloud, no credits, no usage limits — yours forever.

Fantasy Studio canvas with a cinematic render in progress

[ studio canvas — cinematic render ]

Cycles ray-traced rendering · real photons, not pixels
Local Gemma 3 12B director · 4 render tiers
15 cinematic recipes · 300+ curated assets
Refine with words · iterate scenes by chatting
MP4 + GIF + PNG sequence + .blend source export

Get Studio → View on GitHub

What every FantasyLab tool shares.

Both products inherit the same foundation. These are the principles that don't bend.

💻

Local-First

Your CPU. Your GPU. Your data. Zero cloud dependencies. No API costs. No tokens. No credits. The whole pipeline runs on your machine.

🔍

Glass-Box

Every decision inspectable. Every method traceable. Every output reproducible. No mystery layers. No black boxes. No "trust us."

⚖️

Anti-Hallucination

Math first. Physics first. LLMs only translate what's already been computed or rendered — never invent. Verifiers catch what slips through.

📜

Source-Available

Aurora: Apache 2.0. Studio: BSL 1.1. Read the code. Audit the methods. Run it yourself. Modify it for your work. The opposite of a black-box SaaS.

// the manifesto

We think AI got the trade-off backwards.

The industry decided that "intelligent" means a model that confidently generates anything, instantly, without showing how. Faster, fancier, more impressive — and quietly, more wrong.

We think a tool that admits what it doesn't know, runs on your machine, cites every claim, and produces output you can audit for the rest of your life is more valuable than a cloud subscription that hallucinates beautifully.

That's the FantasyLab.ai bet. Local-first, glass-box, math-grounded, source-available tools — built for serious work, by serious builders who refuse to ship vibes as if they were truth.

// shipped from a single workstation, in public, without venture money

Why FantasyLab.

The questions we get asked most. Honest answers.

Why two products under one roof?

Because the same engineering philosophy — refuse the hallucination shortcut, run the actual physics, ship local — applies to creative work and analytical work. Studio and Aurora are different tools solving different problems with the same conviction.

Why local-first?

Privacy, cost, control, and reproducibility. Your data never leaves your machine. There's no monthly bill that creeps. There's no rate limit on a deadline. And a year from now, the same input still produces the same output.

Are these toys, or production tools?

Production tools, with rough edges. Studio renders real cinematic video. Aurora finds real anomalies and fits real ODEs. Both are early — we ship in public and iterate fast. Quality compounds.

How is this funded?

Patreon, donations, and eventual premium tiers on top of the open-source core. No venture money, no ads, no data harvesting, no enterprise sales cycle. Just builders, supporters, and tools.

Glass-box AI.
Local. Open. Yours.

Black-box AI is fine for chat.
Not for work that matters.

If a model can't show its work,
it shouldn't make claims.

If a renderer can't simulate light,
it isn't really 3D.

Two products. One lab.

What every FantasyLab tool shares.

Local-First

Glass-Box

Anti-Hallucination

Source-Available

We think AI got the trade-off backwards.

Why FantasyLab.

Why two products under one roof?

Why local-first?

Are these toys, or production tools?

How is this funded?

Follow the build.

Glass-box AI.Local. Open. Yours.

Black-box AI is fine for chat.Not for work that matters.

If a model can't show its work,it shouldn't make claims.

If a renderer can't simulate light,it isn't really 3D.

Two products. One lab.

What every FantasyLab tool shares.

Local-First

Glass-Box

Anti-Hallucination

Source-Available

We think AI got the trade-off backwards.

Why FantasyLab.

Why two products under one roof?

Why local-first?

Are these toys, or production tools?

How is this funded?

Follow the build.

Glass-box AI.
Local. Open. Yours.

Black-box AI is fine for chat.
Not for work that matters.

If a model can't show its work,
it shouldn't make claims.

If a renderer can't simulate light,
it isn't really 3D.