Ship a production application with AI at its core — designed, built and handed over by a team that has to make it run.
From an internal agent that works your queue to a customer-facing product feature: we design, build, evaluate and deploy AI-driven applications on your cloud, with the guardrails and observability production demands.
The demo was easy. Production is where AI projects go quiet.
- A prototype impressed everyone and then stalled on data access, cost or accuracy.
- You need an AI capability in your product and hiring the team would take a year you do not have.
- Nobody can say how the model behaves on the inputs that matter — only on the ones in the demo.
What the engagement includes
Discovery & solution design
The user, the job to be done, the data, the model strategy and the success measures — agreed in writing before build.
Evaluation harness first
A test set drawn from your real inputs and an evaluation loop, so accuracy is measured, not asserted.
Application build
Backend, integrations, retrieval, agents or model calls, and the user interface — built on your cloud, in your repositories.
Guardrails & observability
Input and output controls, cost limits, tracing and monitoring so the system is operable at 2am.
Deployment & hardening
CI/CD, infrastructure-as-code, security review and load testing appropriate to the use.
Handover & support window
Documentation, paired sessions with your engineers and a 30-day stabilisation period after go-live.
How it works
Apply
Tell us the problem, the users and the data you have. We reply within two business days.
Scoping engagement
A short paid discovery produces the written scope, architecture and fixed price for the build.
Build in increments
Two-week increments, each demonstrated on real inputs against the evaluation harness.
Deploy & stabilise
Production release, 30-day stabilisation, handover to your team.
Who this is for
- Product companies adding an AI feature they must stand behind with customers
- Operations-heavy businesses automating a queue, a review process or a knowledge task at scale
- CTOs who need a production-grade delivery partner, not another prototype
Investment
AI-Driven Application Development
Scoped in writing before anything is invoiced. No checkout at this level — apply first so we can confirm fit and timing.
What happens after you apply
We review every application personally, reply with a straight yes / no / not-yet, and book a 30-minute scoping call if it is a fit.
Questions, answered
Why is the range so wide?
A single-workflow internal agent with one integration sits near the low end; a customer-facing feature with multiple data sources, evaluation at scale and compliance requirements sits near the top. The scoping engagement fixes the price before build.
Which models and clouds?
We are model-agnostic — OpenAI, Anthropic, Google, open-weight models via your cloud provider — and build on AWS, Azure or GCP. The choice is made on evaluation results and your data constraints.
Who owns the code?
You do. Everything is delivered into your repositories and your cloud accounts from day one.
What happens after the 30 days?
Your team runs it, or we continue under a support and improvement retainer scoped at handover.
Designed for production. Measured on your data. Owned by you.
Apply and tell us the problem. If it is not a fit for AI, we will say so on the first call.
Gridwise Technology · gridwisetechnology.com · Fixed-fee engagement, invoiced per the schedule above.