Prove it in a few weeks
Build and evaluate a focused proof of concept on your data in up to six weeks.
We put AI into production.
An engineer working inside your team and your environment: proofs of concept, production applications, integrations, and platform setup.
Email to arrange a call
Explore the services Arrange a 20-minute call by email.
Embedded with your team
We work inside your environment and tools, alongside the people who will own the system.
Defined scope and deliverables
The work, acceptance checks, and price are agreed before we start.
Access and data handling agreed
Scoped access, agreed data use, and human review where it matters.
What we build and set up
Fixed scope and price, agreed before work starts. We define the deliverables and who will maintain the result with your team or engineering provider.
Take it to production
Build, deploy, and monitor a proven use case as a system your team owns.
Connect it to your workflow
Connect an incoming request to a reviewable draft and an agreed destination, with permissions and approval defined.
Set up the platform
Model access, environments, a deployment pipeline, monitoring, and cost controls, ready for your team to build on.
How a production build is delivered.
For a production AI application, we agree the application scope, release criteria, and operating responsibilities before work starts.
A proof of concept ends with evaluation results and a recommendation. Production deployment has its own scope.
The complete workflow is shown below.
Using your device’s reduced-motion setting. The complete workflow remains visible.
Motion paused. The complete workflow remains visible.
Compact view: a complete workflow is shown above the stages.
Short window: a complete workflow is shown beside the stages.
Scroll through the four stages. The diagram follows the explanation.
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Scope the work.
Start with the task, the people who do it, and the systems and data involved. Agree what done looks like, who needs access to what, and where a person stays in the loop.
A clear scope. Agreed access and acceptance criteria.
2 / 4
Build it where it will run.
Set up the environment and build the system inside it, connected only to the data and tools the scope needs. Your team sees the work as it happens.
A working system in your environment.
3 / 4
Ship it and watch it.
Deploy through a repeatable pipeline. Test against the agreed cases, add monitoring and cost controls, and run it with real users under agreed limits.
A deployed system, with evidence of how it behaves.
4 / 4
Hand it over.
Leave the code, infrastructure, runbook, evaluation results, and operating assumptions with a named owner. Recommend what to do next.
Your team runs it. Further work is scoped separately.
Production build workflowAll four stages
Before we begin.
What does forward-deployed mean?
The engineer works inside your team and your environment for the length of the engagement. The work can be a prototype, a production application, an integration, or the infrastructure underneath it, depending on the agreed scope.
Do we need to know which model or tools to use?
No. We compare the options against your data, budget, and constraints during scoping, and we build with what your team can operate afterwards.
Can you work with systems and tools we already use?
Yes. We confirm licensing, access, and data handling before starting, and we build inside the accounts you control.
What will we receive from a proof of concept?
A working prototype in your environment, the code, documentation, evaluation results, and a recommendation on taking it to production.
Is a proof of concept ready for production?
No. It tests an idea against agreed cases. Production deployment requires a separate scope, release criteria, and operating responsibilities.
Who maintains the work after the engagement?
We name an owner from your team or engineering provider during scoping and agree the documentation they need. Ongoing operation or support requires a separate scope.
How is the price decided?
We agree a fixed scope and price before work starts.
What should we prepare for the discovery call?
A short description of what you want running, the systems involved, and your timing is enough. Arrange the call by email; don’t send confidential material.
What do you need access to, and what do you not want?
Access is provisioned by you and agreed during scoping. Don’t email passwords, API keys, administrator credentials, production secrets, or customer data. Read about access and data handling.
Who does the work?
Jay Rodrigues does the implementation personally, inside your team, from scoping through handover.
Can you work with our existing engineering team or provider?
Yes. We agree responsibilities, access, and handover with your team or provider, and we work in their tools where we can.
Do you work outside Ontario?
Yes. We serve Canadian organizations from Ontario, on site or remotely, and confirm location and sector requirements during scoping.
Set up. Build. Ship.
Tell us what you want running.
Email us to arrange a call. We'll talk through the use case, your environment, and the right first step.
Email to arrange a call
Arrange a 20-minute call by email.