Straightforward starting points for AI systems and custom software. Every engagement is scoped around business value, delivery risk, and the fastest useful release.
No sales maze. You speak directly with the team that scopes and builds.
Engagements
Validate
For teams ready to prove one high-value AI use case with a working, measurable release.
R110k | Typical timeline: 2-4 weeks
Build
For teams shipping reliable AI or custom software across real users, data, and operations.
project or monthly | Typical timeline: 6-12+ weeks
Scale
For organizations that need a long-term engineering partner, stronger controls, and scale.
annual partnership | Typical timeline: Ongoing
Prices exclude third-party model usage, cloud infrastructure, and software licenses. These costs are estimated separately so you can see exactly what belongs to delivery and what belongs to your operating stack.
How pricing works
Two projects with the same headline can require very different work. These are the factors that shape your final estimate.
Discuss your scopeThe number of decisions, edge cases, approvals, and systems involved in the process.
How ready your data is and whether we connect to standard APIs, legacy tools, or private systems.
The level of testing, permissions, auditability, compliance, and uptime your use case requires.
A focused release is faster than a broad transformation. We price around the smallest useful outcome first.
From idea to estimate
Enough discovery to remove ambiguity, without turning the buying process into its own project.
We clarify the business problem, desired outcome, and whether we are the right team.
We map the workflow, integrations, risks, and release plan with the people who will build it.
You receive a defined scope, delivery model, timeline, price, and success criteria.
Questions
The practical details teams usually want to understand first.