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ThinkingLab

Vancouver Technology Studio

Build smarter.
Scale faster.

ThinkingLab combines fractional CTO leadership, AI, cloud architecture, and product engineering to turn ambitious ideas and complex technology challenges into scalable products.

  1. 01 Idea
  2. 02 Strategy
  3. 03 Architecture
  4. 04 Engineering
  5. 05 Launch
  6. 06 Scale
A connected path from Idea to Strategy, Architecture, Engineering, Launch, and Scale.

Not your typical technology consultancy.

We work at the intersection of business strategy and engineering. That means asking difficult questions before writing expensive code.

We help founders and organizations understand what to build, how to build it, and what it will take to operate and scale.

Layered tracing paper with a hand-drawn network of connected nodes, illustrating architecture before implementation.
Working drawings — idea, structure, and the path between them.

Why ThinkingLab

More than a development shop.

Most software companies begin with requirements and implementation.

ThinkingLab starts with the customer, the business model, product feasibility, architecture, security, economics, and path to scale.

Then implementation follows.

Sean Mehrabi and Mike Qureshi working through a business system before it is built.
  1. 01

    Strategy

  2. 02

    Architecture

  3. 03

    Build

  4. 04

    Launch

  5. 05

    Scale

Sean Mehrabi explaining a software system roadmap to two founders.

Fractional CTO

You may not need a full-time CTO. You still need CTO-level decisions.

Early-stage and growing companies make technology choices that shape cost, risk, and speed for years. Senior technical leadership — for the hours you need it — helps you make those choices deliberately.

  • 01Technology strategy
  • 02Architecture and governance
  • 03Engineering leadership
  • 04Vendor and technology decisions
  • 05Technical risk management
  • 06Team development
  • 07Scaling and cost control
Sean Mehrabi reviewing a practical AI workflow with engineers.

AI Engineering

AI should do more than demo well.

We design AI systems that can operate inside real businesses, working with real data, applications, security requirements, and workflows.

That means designing for operational reliability, evaluation, privacy, and measurable value from the first prototype.

  • AI Agents
  • Enterprise Copilots
  • Retrieval-Augmented Generation
  • Intelligent Workflow Automation
  • AI Product Architecture
  • Enterprise AI Integration

A production path

The person or system that starts the request.

Cloud Architecture

Cloud Architecture & Consulting

Cloud platforms make it easy to start and easy to accumulate cost, complexity, and risk. Good cloud architecture balances security, resilience, performance, and economics against what the business really needs.

We design new cloud platforms, review existing ones, and plan migrations across Azure, AWS, and Google Cloud — without bias toward a single vendor.

Sean Mehrabi reviewing a layered cloud infrastructure diagram.

The platform the system runs on.

Mike Qureshi reviewing an application interface with a designer and an engineer.

Product Engineering

Software & Product Engineering

Software is easiest to build well when the product, the architecture, and the business model are understood together. We build products with that whole picture in view.

Clarify users, core workflows, and the smallest version worth building.

Data & Analytics

Data Engineering & Analytics

Useful analytics and useful AI both depend on the same foundation: data that is well-modelled, trustworthy, accessible, and governed.

We design data platforms and pipelines that connect operational systems to reporting, analytics, and AI applications.

Sean Mehrabi reviewing a data pipeline and analytics view with a data architect.
  1. Sources
  2. Model
  3. Quality
  4. Reporting
  5. Decisions

Startup Studio

You bring the idea. We help build the company around it.

We don't just build your app. We help you think through the product, technology, execution, and business decisions behind it.

Understand the problem, users, and market.

Mike Qureshi and Sean Mehrabi working through an early product with founders.

How we think

Architecture before code.

  1. 01

    Understand

    Examine the business problem, users, market, and constraints.

  2. 02

    Challenge

    Test assumptions before expensive implementation begins.

  3. 03

    Architect

    Design for maintainability, security, cost, and scale.

  4. 04

    Build

    Deliver practical increments and validated functionality.

  5. 05

    Measure

    Learn from users, systems, and operational feedback.

  6. 06

    Scale

    Evolve architecture, engineering processes, and capabilities.

Selected Work

Thinking made tangible.

Since 2019 we have supported founders and organizations through product strategy, architecture, prototyping, and launch. Detailed client case studies are published only with client approval.

Sean Mehrabi working beside system sketches, a notebook, and a laptop.
Architecture reviews
Scalability, cloud cost, security, and customer-experience considerations for data and analytics platforms.
Prototype to launch
Guidance from early prototype through validation, mentoring, and launch preparation.
Fractional leadership
Ongoing CTO-level support for teams without a full-time technical executive.
Technology decisions
Platform, vendor, and build-vs-buy choices grounded in business economics.

Founders

Built by technologists. Driven by business outcomes.

Portrait of Sean Mehrabi, Co-Founder of ThinkingLab

Sean Mehrabi

Co-Founder

Next step

What are you trying to build?

Whether you're starting with an idea, modernizing an existing platform, or making AI useful inside your business, let's talk about the problem first.