Transparent, project-based pricing for applied AI systems and LLM discoverability. No hourly billing, no surprise invoices.
Every engagement is project-based. No hourly billing, no retainers that go nowhere, and no vague statements of work that expand without warning.
You see the scope. You see the price. You decide if it makes sense.
The numbers below reflect real ranges based on project complexity. The final number depends on integrations, decision logic, and what the system must do in production.
$1,500 – $2,500
The starting point for every engagement. We define the problem, map the workflow, and design the system architecture before anything gets built.
$5,000 – $15,000
A production-ready applied AI system built around one specific outcome. Scoped, built, instrumented, and handed off cleanly.
$1,500 – $3,000 / month
Once the system is live, this retainer covers maintenance, monitoring, and iterative improvement as dependencies and usage shift.
$1,500 – $2,500
A full diagnostic of how language models currently represent your organization and where visibility gaps are coming from.
$3,000 – $6,000
Restructure and build content for retrieval by language models with stronger claim architecture and internal linking.
$1,000 – $2,000 / month
Continuous monitoring and updates so your organization remains current in model responses as data and model behavior evolve.
Most clients combine services. These are the most common starting points.
Systems Discovery + Pilot Build
$6,500 – $17,500
Discoverability Audit + Foundation Build
$4,500 – $8,500
Systems Discovery + Pilot Build + Discoverability Audit + Foundation Build
$10,000 – $24,000
No free pilots. No proof-of-concept builds for exposure or future work. No open-ended hourly engagements without a defined outcome.
Discovery exists so both sides know exactly what is being built before implementation starts.
Every engagement starts with a discovery call to define the problem, workflow, and measurable outcome.
Book a Discovery Call