You bring a problem your team is wrestling with — one that data and AI can solve. We sit down together and solve it live, using DeepQ AI. From framing the problem, to building the strategy, to running the solution. You watch every step happen in real time, ask questions, and challenge the methodology.
By the end, you've seen how DeepQ AI works on a problem that actually matters to your business — not a sanitized demo. You decide what happens next.
For first conversations. Bring one focused problem. We solve it live together over video. Best for early evaluation, or when your team is distributed.
For deeper sessions. Bring a more complex problem, or multiple connected problems. More time to go deep into your domain context, your data, your constraints. Best after a virtual session, or when the buying conversation has multiple stakeholders.
Both are free. Most engagements start virtual and move to in-person when there's clear interest from both sides.
A bootcamp follows a structured arc. You don't need to prepare anything beyond the problem itself.
If you'd like to explore engagement, we can shape what one would look like for your context — scope, scale, timeline, indicative range. Only if you want to. No pressure. Many teams do a bootcamp purely to evaluate, and that's fine.
Not a slide. A documented strategy and solution design from the live sessions. You can take it back to your team and act on it independently if you choose.
You've seen the platform on your own problem. You know the methodology, the transparency, what the platform does well, where it needs human judgment.
You know whether DeepQ AI fits your needs, what an engagement would look like, and what the path from here looks like. No follow-up sales sequence. You come back when you’re ready.
A bootcamp works best when the people in the room are the ones who feel the problem and care about the outcome.
Something specific your team is trying to solve, that data and AI can help with. The clearer the problem, the better the bootcamp. If you have multiple, pick the one with the most weight on it.
If you can share representative data for the problem under an NDA, the bootcamp gets sharper. If you can't — for compliance, sensitivity, or any other reason — we generate representative synthetic data on the go that matches your context. Both work.
Any documents, prior analyses, or assumptions you want us to consider. Not required, but helpful.
We don't run slides. We don't talk about company history. We solve a problem.
We don't show you canned use cases. We work on your problem, in your context.
A bootcamp is a working session, not a project. We're not delivering a finished solution — we're showing you what's possible when DeepQ AI works on a problem like yours.
You can walk away after the bootcamp with no further conversation. We won't chase. If you want to engage, you reach out.
Tell us a bit about your context, and we'll set up the session.
We'll respond within 1 business day to schedule. No sales calls. No nurture sequences.
