FAQ
Getting started
How do I know if AI is right for my problem?
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. Sometimes the answer is "AI won't help here" and that's fine—we'd rather tell you upfront than waste your time.
What kind of data do I need?
It depends on the problem, but generally you need: (1) historical examples of inputs and outcomes, (2) enough data to learn patterns (usually hundreds to thousands of examples minimum), and (3) data that's reasonably clean and accessible. If your data is a mess, we can help with that too—it's part of most projects.
How long does a typical project take?
Proof of concepts are usually 4-6 weeks. Full production systems typically take 3-6 months depending on complexity. Some simpler projects ship faster, and some complex ones take longer. We'll give you a realistic timeline after understanding what you need.
Working together
How do you work with clients?
We work directly with your team—no account managers or sales engineers. You'll have weekly check-ins, access to our code repos, and visibility into everything we're doing. Most clients say we feel like part of their team, not an outside vendor.
What happens after you ship?
Every project includes 30 days of support. After that, you can handle it yourself (we document everything), or we can set up an ongoing support agreement. Most clients keep us around for monitoring, updates, and new features.
Do you sign NDAs?
Yes, we sign NDAs before any detailed discussions. We also take data security seriously—all our projects use encrypted storage, secure access controls, and we never share client data between projects.
Technical stuff
What technologies do you use?
Whatever makes sense for the project. For ML: Python, TensorFlow, PyTorch, scikit-learn, XGBoost. For infrastructure: AWS, GCP, Docker, Kubernetes. For LLMs: GPT-4, Claude, Llama, and various open source models. We're not religious about tools—we pick what works.
Do you train models on our data?
For most projects, yes—we train custom models on your data because that's what makes them useful. Your data stays yours. We don't use it to train models for other clients, and we don't keep it after the project ends unless you want us to.
Can you integrate with our existing systems?
Almost certainly. We've integrated with ERPs, CRMs, data warehouses, custom APIs, and some seriously legacy systems. Part of our job is making AI work with what you already have, not rebuilding everything from scratch.
AI Consulting
What does AI consulting include?
Our consulting covers AI readiness assessments, use case discovery, strategic roadmapping, vendor selection, implementation guidance, and team training. We help you identify where AI can have the biggest impact on your marketing operations.
What results can I expect?
Most clients see 5-10x improvements in content production speed, 30-50% reduction in ad spend waste, and significant gains in lead quality. Results vary based on your starting point and implementation depth.
What if it doesn't work?
We build in checkpoints throughout every engagement. If something isn't working, we pivot or stop—you're never locked into a failing approach. We'd rather have a short experiment than a long expensive one.
Ready to transform your marketing?
Book a free consultation to explore how AI can 10x your results.
Book free consultation