Pricing built around your stack, not seat counts.
Three tiers defined by deployment complexity and integration surface. Pick the one that fits your architecture; bring edge cases to the call.
Single-system integration
Multi-system deployment
Full-stack AI systems
Quoted per scope
From 20,000
From 8,000
Complex, multi-team deployments with custom model training, SaaS product builds, or long-running data intelligence programs. The call replaces the estimate form.
Two to four integrated systems—agents, chatbots, data pipelines, or workflow automation. Trained on your data, wired to your APIs, tested in your environment.
One workflow automated end-to-end. Scoped deployment into your existing stack. Fixed timeline, defined deliverables, no scope creep.
Retainer and dedicated capacity available. Structured around your roadmap.
Retainer available post-launch. Includes 30-day stabilization window.
Ongoing retainer available. Includes deployment handoff and documentation.
Before you get on the call
What does the discovery call cover?
30 minutes: your current stack, the workflow or system you want automated, and a rough scope read. No commitment. You leave with a clear sense of fit and ballpark range.
Are retainers required after deployment?
No. Every project delivers a fully documented, handoff-ready system. Retainers are available for teams who want ongoing model updates, monitoring, or capacity for new automations.
We use a non-standard internal stack. Can you integrate?
We read your code before we scope. If it has an API surface or a data layer we can reach, we can integrate. Bring the architecture diagram to the call.
How long does a typical project take?
Starter engagements run 4–8 weeks. Multi-system deployments are 8–16 weeks depending on integration complexity. Custom scopes are timeline-quoted after the discovery call.
Scope questions are welcome on the call.
Thirty minutes. No pitch deck. Bring your architecture, your bottleneck, and your questions—we will tell you exactly what we can build and what it costs.