Now in Early Access

Your custom AI model,
built end-to-end

Describe what you need. We research, design, build, validate, and document your AI model — automatically.

See How It Works
AI Designer — end-to-end AI model pipeline

Trusted by researchers and engineers at

End-to-End AI Pipeline

Five specialized AI agents work in sequence to deliver a complete, production-ready AI model from a single description.

🔍Stage 1
Research

Understands your use case and surveys the latest techniques across the field

🧠Stage 2
Model Design

Architects a novel model tailored to your specific problem and constraints

💻Stage 3
Code Generation

Writes clean, production-ready PyTorch code with shape annotations and safety

✅Stage 4
Code Validation

Tests, debugs, and benchmarks the implementation with rigorous test suites

📄Stage 5
Documentation

Delivers full technical docs, API references, and usage guides

Everything you need to build AI

From literature review to production deployment — every step is handled with precision.

Custom Architecture Design

Novel model architectures tailored to your specific requirements — not off-the-shelf fine-tuning.

Automated Research Pipeline

Surveys the latest papers, identifies novelty gaps, and recommends the best approach for your problem.

Production-Ready Code

Clean PyTorch with shape comments, bf16 safety, torch.compile compatibility, and smoke tests included.

Rigorous Validation & Testing

Comprehensive pytest suites covering shapes, gradients, causality, numerics, plus synthetic benchmarks.

Full Technical Documentation

README, architecture docs, training guides, benchmark reports, and API references — all generated.

Continuous Model Improvement

Iterate on your model with ablation studies, profiling results, and actionable optimization suggestions.

How It Works

From idea to implementation in three simple steps.

1

Describe your problem

Tell us what you need — a linear-time language model, a vision transformer variant, an efficient SSM hybrid. Natural language is all it takes.

2

AI Designer builds your model

Five specialized agents research the literature, design the architecture, write the code, run validation tests, and generate documentation.

3

Receive code, validation & docs

Download a complete project: production-ready PyTorch model, comprehensive test suites, benchmark results, and full technical documentation.

What researchers are saying

“AI Designer turned what would have been 3 weeks of literature review and prototyping into a 2-hour pipeline run. The generated model outperformed our hand-crafted baseline.”

SC

Dr. X

ML Research Lead, Top Tech Company

“The validation suite alone saved us countless debugging hours. Shape tests, gradient checks, causality verification — all generated automatically with the model.”

MR

Y

Senior ML Engineer, Series B Startup

“We use AI Designer for rapid architecture exploration in our research group. The documentation quality is remarkable — grounded claims, reproduce commands, everything.”

YT

Prof. Z

AI Lab Director, University XYZ

Simple, transparent pricing

Start free, scale as you grow. No hidden fees.

Explorer

Perfect for individual researchers and students

$**/model
  • 3 model builds per month
  • Basic architecture families
  • Standard validation suite
  • Generated documentation
  • Community support
Professional
Most Popular

For teams building production AI systems

$***/month
  • Unlimited model builds
  • All architecture families
  • Full validation + benchmarks
  • Ablation runner & profiler
  • Priority support
  • Custom constraints & configs
Enterprise

For organizations with advanced needs

Custom
  • Everything in Professional
  • Dedicated infrastructure
  • Custom skill development
  • On-premise deployment
  • SLA & dedicated support
  • SSO & team management

Frequently asked questions

How AI Designer compares, what it produces, and how it works.

AI Designer is a multi-agent pipeline that takes a natural-language research goal and produces a complete, runnable machine learning system. It covers 8 domains: Language Models, Computer Vision, Reinforcement Learning, Generative AI, Graph ML, Time Series, Speech/Audio, and Scientific ML. The output is a downloadable ZIP containing literature synthesis, an architecture blueprint, production-ready PyTorch code, a full pytest suite, and publication-grade documentation — all in one automated run.

Ready to build your
AI model?

Join researchers and engineers who are building custom AI architectures in hours, not weeks.