Talk to our AI engineers
30 min call with our team
Whether you're looking for expert guidance to get set up quickly, or evaluating a deeper partnership with custom builds and forward-deployed engineers, this call is for you. We'll understand your goals, map out the right approach, and figure out the best path forward together.
What to expect
- Walkthrough of QX tailored to your workflows and use cases
- Live scoping of templates, flows, or integrations relevant to you
- Clear picture of next steps, from self-serve setup to a full bespoke build
Who should book
- Teams wanting expert help scoping and implementing their first workflows
- Organizations with complex, bespoke, or enterprise requirements
- Anyone evaluating QX for a larger or longer-term deployment
Who you'll meet
You'll speak directly with our founder and team — engineers and operators who have built and deployed AI systems in demanding, real-world environments.
Frequently asked questions
How long is the demo?
The call is 30 minutes, but we're flexible. If it's useful to go deeper into specific workflows or requirements, we're happy to extend or schedule follow-up sessions.
Do I need to know exactly what I want?
Not at all. Part of what we do on the call is help you think through your use cases and figure out what's actually worth building. We'll come with questions and leave with a clear plan.
What is your pricing?
Self-serve plans are transparent and start at $0 — see our pricing page for details. For enterprise deployments including custom builds, dedicated support, on-premise options, API access or a forward-deployed team, pricing is tailored to your requirements and we can walk through this on the call.
What does a bespoke engagement look like?
For larger clients, we can embed engineers directly into your team to scope, build, and deploy custom AI workflows. This includes modelling and ingesting your internal data using our proprietary knowledge graph, bespoke data integrations, specialized agents and full productionised systems. We can also offer on-premise deployment.
What happens after the demo?
Depends on where you land. Some teams walk away and start building immediately on a self-serve plan. For more complex requirements, we'll follow up with a concrete proposal covering scope, implementation approach, and pricing.