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Flexible discovery
Begin with the highest-value workflow, department, or data layer instead of buying a generic package.
Pricing for owned systems
Pricing for Owned Operating Systems
Myte prices custom operating systems around the workflow you need to own: scope, integrations, infrastructure, private AI path, deployment, support, and ownership requirements.
Pricing at a glance
The first conversation is flexible. The proposal becomes firm once the system is clear.
Proposal
Firm after scope
Pricing is fixed to concrete outcomes, acceptance checks, deployment responsibilities, and support boundaries.
Infrastructure
Your environment or ours
Run inside the Myte environment, your AWS/cloud account, local infrastructure, or a hybrid setup.
Ownership
Built to be owned
Source, docs, runbooks, deployment notes, and training are part of the ownership path.
How to read the price
A Myte proposal separates build cost, infrastructure cost, model cost, and support.
That separation matters. It lets you see what you are paying Myte to build, what third-party platforms cost, what recurring inference may cost, and what level of ongoing management you actually want.
What affects price
The scope changes with the operating reality.
The same Myte model can serve a small intake system or a multi-role operating system. These are the variables that change the proposal.
Number of workflows, departments, and user roles
Integrations with ERP, CRM, email, documents, payments, or legacy tools
Data cleanup, migration, normalization, and reporting requirements
Private AI, local inference, hybrid inference, or managed cloud model path
Security, permissions, audit logs, compliance, and governance needs
Deployment target, monitoring, maintenance, and support expectations
What you receive
The deliverable is not a rented dashboard.
The commercial structure is built around ownership and continuity, so the system can keep evolving after launch.
Clear scope and acceptance criteria
Milestones tied to working software
Source code for the system Myte builds
Deployment notes, runbooks, and owner documentation
Training for operators, managers, and technical owners
Support options for Myte-managed, client-owned, or hybrid operation
Delivery sequence
How delivery is sequenced
Pricing becomes concrete when the delivery path is concrete. We lock in outcomes, then execute in verifiable milestones.
Step 1
Discovery and ownership path
Workflows, infrastructure, data, AI posture, and support expectations are clarified.
Step 2
Firm proposal
Scope, milestones, acceptance criteria, delivery responsibilities, and support options are priced clearly.
Step 3
Build and deploy
The system is built, tested, deployed, documented, and reviewed with the operators who will use it.
Step 4
Operate and extend
You choose Myte-managed support, client-owned operation, or a hybrid path while the roadmap expands.
Pricing questions
What buyers usually need to know before Join Myte.
Clear budgeting starts with the work: scope, integrations, infrastructure, model path, support, training, and ownership expectations.
How should we budget before discovery?
The main cost drivers are workflow scope, integrations, deployment path, inference needs, support, training, and ownership requirements. Discovery turns those variables into a firm proposal before build work begins.
Do you offer firm pricing?
Yes. Once scope, integrations, environments, acceptance criteria, and support boundaries are clear, Myte can provide firm pricing tied to concrete outcomes.
Can we start small?
Yes. The usual path is to start with the workflow or department where value is easiest to verify, then expand into the operating system over time.
Are cloud, model, and infrastructure costs included?
They are separated clearly. Myte delivery work, third-party model usage, storage, APIs, cloud infrastructure, and support should be visible as different cost categories.
Can Myte manage the environment?
Yes. We can manage the deployed environment inside Myte, operate in your infrastructure with least-privilege access, or design a hybrid support model.
Can we run AI locally or privately?
Yes. When privacy, cost, latency, or control requires it, we design local, private-cloud, or hybrid inference paths.
Who owns the code and documentation?
You own the system components Myte builds for you, including source, docs, deployment notes, runbooks, and owner material.
What happens after launch?
You can operate the system with your team, keep Myte on maintenance and monitoring, or continue extending the roadmap by priority.
Ready to scope it?
Start the roadmap
Tell us the workflow you want to own first. We will map the operating pressure, clarify the delivery path, and come back with a scoped plan.
Start the roadmap