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Adapting your business to AI

Adapt AI to your business

Stop chasing AI hype. Design AI solutions measured by the impact they leave behind.

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The Approach

AI is a feature, not a solution

You can't solve an undefined problem no matter how much AI you use

We don't build until we know exactly what we are measuring

Product-First

Built for the user, tested until it's indispensable.

Measurable Impact

Strict KPIs guiding every development decision.

Data Sovereignty

Local models on your hardware. Total privacy.

Qualification

Client Alignment

01 Your team rebuilds the same spreadsheet every month, and everyone knows it.

02 Someone internal already sees the AI opportunity, but has no one to build it.

03 Your data cannot leave your infrastructure, so off-the-shelf tools are out.

Out of Scope We do not build undefined, generic chatbots.

0 Bytes of data sent off-site

40 Staff hours reclaimed per week

Example:
Patient data that can't leave the building.

The Bottleneck

A healthcare provider needs to automate extraction from unstructured medical records, but compliance law prevents them from using commercial cloud APIs.

The Architecture

We build an air-gapped LLM stack that processes intake forms and biometrics entirely on the clinic's own servers.

The Outcome

Intake documentation is fully automated, manual entry disappears, and nothing ever leaves the building.

How it works

From call to contract

Four steps before a line of code is written.

Discovery call

30 minutes

We open with one question: how do you measure success? Thirty minutes later the problem is stated in your words.

Scoping

1–2 weeks

We define the metric, the constraints and the data boundaries, then agree what a successful result looks like.

Statement of work

Written proposal

Fixed scope, named deliverables, timeline and price — and where models run, so no data leaves your network unless you say so.

Signed and started

Build begins

Contract signed, environment access granted, first working increment scheduled.

Ways to engage

Engagement Tiers

Start small, prove the metric, then scale the commitment.

Advisory & Architecture Review

Hourly

Work with the team weekly to review architecture, vet AI agent frameworks, unblock specific engineering hurdles.

Pilot Implementation

Project-Based

Validating specific business metric with a working Pilot. Scoping problem, envisioning the agent architecture, building functional Pilot to validate the impact.

Turnkey Solution

Time & Materials

Best for end-to-end product delivery. A longer-term engagement where we build, deploy, and document the finished product.

Leadership

The Team

“

I build the AI architecture that automates your heaviest workflows—so your team can get their time back.”

Imaad

Co-founder, Head of Architecture

I build the AI architecture that automates your heaviest workflows—so your team can get their time back.

“

I keep the engineering aligned with your business reality. No scope creep, no endless timelines—just strict delivery and measurable ROI.”

Sakura

Co-founder, Head of Operations

I keep the engineering aligned with your business reality. No scope creep, no endless timelines—just strict delivery and measurable ROI.

Proven outcomes

Enterprise AI at scale

Generative AI systems built from the ground up for a global automotive OEM, with internal automation tools saving 16,000 manual hours a month.

Capital projects

Site development, feasibility, financial, and environmental impact modelling across a pipeline of large-scale renewable energy infrastructure

Regulated delivery

Project integration across energy policy, regulatory bodies and corporate sustainability mandates, coordinating stakeholders through approval

Technologies

Cloud Platforms, Multi Modal LLMs, Agentic Workflows, Geospatial Engines, Computer Vision

An AI engineering and strategy practice based in Vancouver, BC.

So, how do you measure success?

Thirty minutes, no deck. We map the workflow and tell you whether it is worth building.

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Not ready to talk? Get the AI readiness checklist — the questions we ask before scoping anything.

Adapt AI to your business.