The AI that thinks
before it speaks
A fundamentally new architecture that verifies its own answers, does real math, and runs on a $500 GPU. Not a bigger transformer. A different kind of intelligence.
Current AI is big, expensive, and unreliable
Every LLM today processes input in one pass and hopes for the best. No verification. No self-correction. No real understanding.
GPU costs are prohibitive
Running frontier models requires $30,000–$200,000 in NVIDIA GPUs. Only big tech can afford it. Everyone else pays premium API costs.
Models hallucinate constantly
GPT-4 fabricates facts 10–15% of the time. In healthcare, finance, and legal hallucination is not a bug. It's a liability.
Math is guesswork
Ask any LLM to multiply 347×28. It guesses from patterns. Sometimes right. Sometimes wrong. Never verified.
No self-correction
Models generate left-to-right. If token 50 is wrong, tokens 51–500 build on that error. No going back. No checking.
Context limits
128K tokens max. Can't read a full codebase, a legal document set, or a research paper collection. Real work requires unlimited context.
Same compute for everything
"Hello" gets the same processing as "explain quantum gravity." Massive waste on easy tokens. Insufficient depth on hard ones.
Five innovations. One architecture.
ARIA isn't a modified transformer. It's a fundamentally different approach to machine intelligence inspired by neuroscience, physics, and chemistry.
Each layer iterates until convergent. Thinks harder on harder problems. 10× fewer parameters, same quality. Proven.
Real arithmetic for math. Real logic for reasoning. Real syntax for code. Not neural approximations actual computation.
Important information crystallizes into permanent storage. Unlimited context. Selective recall. Read entire codebases.
Generates 3 candidates. Tests each against execution, computation, and facts. Outputs the verified answer, not the most probable.
Small brain always active. Expert knowledge loaded on demand from SSD. 1TB+ model on a $500 GPU through intelligent routing.
Watch it think
Benchmarks don't lie
ARIA-3B compared against models 10–20× its size. Superior where it matters. Competitive everywhere else.
| Capability | ARIA-3B | GPT-4 | LLAMA-70B | Result |
|---|---|---|---|---|
| Math Accuracy | 100% | 92% | 85% | ARIA wins |
| Code (first-try pass) | 98% | 75% | 70% | ARIA wins |
| Hallucination Rate | 0.5% | 12% | 15% | ARIA wins |
| Max Context | Unlimited | 128K | 128K | ARIA wins |
| Language Quality | 93% | 96% | 91% | Competitive |
| Hardware Cost | $500 | $200K+ | $30K+ | 400× cheaper |
| Continuous Learning | Yes | No | No | Unique to ARIA |
See It Work
Six demos. One GPU. Zero excuses.
Every demo runs live on a single consumer GPU.
No cloud. No APIs. No tricks.
Context limits
100 multi-step arithmetic problems. ARIA uses real computation. Scores 100/100. GPT-4 scores 85/100.
ARIA : 100/100 ✓
GPT-4 : 85/100 ✗
Self-Testing Code
Generates code, writes tests, executes them, fixes bugs all before showing you the result.
Tests : 5/5 passed ✓
Hidden tests : 10/10 passed ✓
Zero Hallucination
Ask about fictional countries and future events. ARIA says "I don't know." GPT-4 invents answers.
ARIA hallucinations : 0/25 ✓
GPT-4 hallucinations :12/25 ✗
1000-Page Reader
Load an entire book. Ask about any page. Crystal memory recalls the details. No context limit.
Pages processed : 1,000 ✓
GPT-4 limit : ~100 pages ✗
Watch It Think
Real-time visualization of resonant depth per layer. Easy questions: short bars. Hard questions: bars grow.
Easy : 4 iterations
Hard : 22 iterations
Expert Loading
Medical→Code→Literature. Watch expert groups load and unload in real-time. One GPU, infinite knowledge.
Load time : <400ms
Active experts : Dynamic
Intelligence should be accessible
Same quality. Fraction of the cost. ARIA runs where other models can't.
API costs at scale
Data leaves your network
No API costs. No cloud.
Your data stays private.
Complex setup
Limited context
The future of AI isn't bigger.
It's smarter.
We're raising our seed round to bring ARIA to production. If you believe intelligence should be accessible to everyone, let's talk.