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DataBadger

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Software, data, and AI engineering

DataBadger is a boutique software, data, and AI engineering firm. Our team combines product management, product design, frontend engineering, DevOps, and quality assurance. We work from offices in London and Montreal, Canada.

  • Min project size
    $50,000+
  • Hourly rate
    $50 - $99 / hr
  • Employees
    10 - 49
  • Year founded
    Founded 2020

Overview by:

Reviewer avatar
Aidin Azabdaftari
COO About the Team

Service Lines
Custom Software Development
20%
Mobile App Development
20%
AI Consulting
15%
Enterprise App Modernization
15%
AI Development
10%
DevOps Managed Services
10%
Web Development
10%

No Focus Areas have been added yet…

Industries
eCommerce
45%
Retail
25%
Financial services
15%
Gaming
10%
Education
5%
Clients
Small Business (<$10M)
40%
Enterprise (>$1B)
30%
Midmarket ($10M - $1B)
30%

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Our Story

DataBadger is a boutique software, data, and AI engineering firm. We help companies that need a technology department without building one. We study the business first, then design, build, deploy, and maintain the system. The same senior team covers strategy, architecture, data, AI, product, and operations, so the people who design a system also support it after launch. We work from London and Montreal.

Meet the Team

Aidin Azabdaftari

Aidin AzabdaftariCOO

Aidin is COO at DataBadger, a boutique software, data, and AI engineering firm. He oversees operations and client partnerships, and leads sales from first conversation through delivery.

What Sets Us Apart

We study before we build

Every engagement starts with analysis of your business, not a technology choice. We tell you honestly whether a project is worth building, even when it is not the project you need.

One team, from advice to delivery

The engineers who will maintain a system are in the room when the architecture is decided. Strategy, architecture, data, AI, product, and operations are handled in-house, with no subcontracted layers.

We stay after launch

Maintenance, extension, and on-call support are part of the offer, not an upsell.

Quick Facts

6 years in business

Tools and Technology

Docker
Kubernetes
AWS
Jenkins
GitHub
Google Meet
Figma
Google Docs
Google Sheets

Commonly Asked Questions

Both. We can start with a consultancy phase (process analysis, architecture, build-versus-buy) and stay on to build, deploy, and maintain the system. You can also hire us for the build alone.

We stay. Maintenance, extension, and on-call support are part of the offer, not an upsell.

Tell us what is slow, manual, or stalled. We study the business first, then tell you honestly whether it is worth building. Reach us at info@databadger.ai.

Data platforms (Snowflake, ClickHouse, PostgreSQL, dbt, Airflow), applied AI and agents (LangGraph, MCP), product engineering (React, Next.js, Python), and DevOps (Kubernetes, Docker, AWS, GitHub Actions).

Yes. We take over projects that other teams started, including legacy systems and products that stalled. We first study the existing system, then tell you what needs a structural fix and what can stay.

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