app.faq.title

Honestly, you might not. That's why we start with a free discovery call. We'll ask about your problem, look at what data you have, and give you an honest assessment.

It depends on the problem, but generally you need: (1) historical examples of inputs and outcomes, (2) enough data to learn patterns, and (3) data that's reasonably clean and accessible.

Proof of concepts are usually 4-6 weeks. Full production systems typically take 3-6 months depending on complexity.

We work directly with your team—no account managers or sales engineers for technical work. You'll have weekly check-ins, access to our code repos, and visibility into everything.

Every project includes 30 days of support. After that, you can handle it yourself, or we can set up an ongoing support agreement.

Yes, we sign NDAs before any detailed discussions. We also take data security seriously—all our projects use encrypted storage and secure access controls.

Whatever makes sense for the project. For ML: Python, TensorFlow, PyTorch. For infrastructure: AWS, GCP, Docker, Kubernetes. For LLMs: GPT-4, Claude, Llama.

For most projects, yes—we train custom models on your data. Your data stays yours. We don't use it to train models for other clients.

Almost certainly. We've integrated with ERPs, CRMs, data warehouses, custom APIs, and legacy systems.

Our consulting covers strategy, roadmap development, vendor evaluation, and implementation guidance.

Most clients see 5-10x improvements in their target metrics within 90 days of deployment.

We build in checkpoints throughout every project. If something isn't working, we pivot early.