Fixedscope,honestpricing
Every engagement starts with a scoping sprint so the price reflects the actual work, not a guess. These are starting prices for the most common shapes of engagement.
Launch
$28,000
starting price, fixed-scope MVP
A fixed-scope, fixed-price engagement to take one clearly defined AI use case from concept to a working, deployed product.
- Single use case, scoped in a week-one architecture sprint
- Dedicated build squad for the full engagement
- Core AI pipeline plus primary user flows
- Evaluation against a test set built from your real data
- Deployed, working product at handoff
- Technical documentation for your engineering team
Scale
$65,000
starting price, multi-feature build
A broader engagement for teams ready to build a full AI product surface across multiple connected use cases and integrations.
- Multiple connected use cases within one product surface
- Dedicated build squad plus a named delivery lead
- Custom data pipeline and third-party system integrations
- Full evaluation harness with ongoing accuracy monitoring
- Production-grade security review and access controls
- Staged rollout plan with a pilot group before full launch
- 90 days of post-launch tuning support included
Enterprise
Custom
custom scope and pricing
An ongoing partnership for organizations building AI capability across multiple teams, systems, or business units at once.
- Multiple parallel workstreams with dedicated squads
- Custom governance, security, and compliance review
- Dedicated account and delivery leadership
- Integration across legacy and modern systems at scale
- Ongoing evaluation, monitoring, and retraining support
- Priority access to Aivora AI's research team
- Custom SLA and support terms
Pricingandengagementquestions
We offer fixed-scope project engagements for a defined MVP or feature build, larger multi-feature builds for teams scaling an AI product, and ongoing enterprise partnerships for organizations running multiple parallel workstreams. Most clients start with a fixed-scope engagement and expand from there once the first build proves out.