Frequently Asked Questions

Not at all. Many of our clients don't have dedicated data or engineering teams. We handle the technical heavy lifting and build solutions that your existing team can manage. Part of our process includes training and documentation so you're never dependent on us.

It depends on the scope. A focused proof-of-concept can be ready in 2-4 weeks. A full production deployment typically takes 6-12 weeks. During our free discovery call, we'll give you a clear timeline based on your specific needs.

Our clients typically see ROI within the first quarter. Common outcomes include reduction in operational costs, improvement in efficiency, and significant time savings through automation. We set measurable targets upfront and track them throughout the engagement.

Absolutely. You own 100% of everything we create — code, models, documentation, and data pipelines. We don't believe in vendor lock-in. Our goal is to build solutions that your team can maintain and evolve long after our engagement ends.

We're technology-agnostic and choose the best tools for each problem. That said, we commonly work with Python, TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP, Azure), and modern MLOps tools. We also integrate with popular business tools like HubSpot, Salesforce, and various ERPs.

That's exactly what the free consultation is for. We'll honestly assess whether AI is the right approach. Sometimes the answer is a simpler solution — and we'll tell you that upfront. We'd rather earn your trust than sell you something you don't need.

Yes. We offer ongoing retainer arrangements for model monitoring, retraining, and optimization. Even after support ends, you have full access to everything we built and can reach out anytime.

Book a free 30-minute discovery call using the button below. We'll discuss your business challenges, explore whether AI is a good fit, and outline a potential path forward — with zero obligation.