Fastloop
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About
Fastloop is a Vancouver-based data integration and AI consulting firm that helps organizations bridge the gap between raw information and business impact. Founded in 2019, the firm operates as a platform-agnostic partner, meaning they work across various technology stacks to customize solutions for their clients. Their primary objective is to enable businesses to leverage cloud computing, machine learning, and advanced analytics to drive operational efficiency, automate manual processes, and uncover new revenue streams. By treating data as a strategic asset, they help clients move from overwhelming volumes of raw input to deep, directional insights that inform long-term strategy. The firm follows a methodology defined by their name: moving quickly to identify opportunities and then continuously iterating to optimize value. Their technical expertise is exceptionally broad, encompassing cloud architecture on AWS, Azure, and Google Cloud, as well as modern data warehousing with Snowflake and Databricks. They specialize in building complex data pipelines using tools like Apache Spark, dbt, and Fivetran, and then visualizing those insights through business intelligence platforms such as PowerBI, Tableau, and Looker. Beyond simple reporting, Fastloop implements sophisticated AI and machine learning models using frameworks like TensorFlow and Keras to prepare organizations for automated decision-making. Fastloop is designed for medium to large-scale enterprises that possess significant data assets but lack the internal infrastructure or specialized expertise to maximize their value. It is particularly beneficial for IT leaders who need to modernize legacy systems, marketing departments looking to build Customer Data Platforms (CDPs), and business executives seeking to reduce operational costs. Their client roster includes notable names like Sony, Hootsuite, and the City of Montreal, suggesting they are well-equipped to handle the complex, high-scale data needs of diverse industries ranging from retail to public services. What sets Fastloop apart from traditional consulting agencies is its "operator mindset," which blends strategic business insight with deep technical mastery. Unlike firms that are tied to a single software vendor, Fastloop’s platform-agnostic approach ensures that the technology chosen fits the client’s specific requirements rather than the other way around. They act as an extension of the client’s internal team, prioritizing "actionable intelligence" over static reports. This focus on results ensures that every implementation, whether it is a data lake or a custom AI model, contributes directly to a sustainable competitive advantage.
Pros & Cons
Supports all major cloud ecosystems including AWS, Azure, and Google Cloud.
Utilizes a deep technology stack featuring TensorFlow, Keras, and Apache Spark.
Platform-agnostic approach ensures unbiased technology recommendations for clients.
Proven track record with high-profile clients like Sony and Hootsuite.
Offers comprehensive services from raw data integration to AI-driven monetization.
No self-service platform available; requires hiring their consulting team.
Pricing is not transparent and requires direct contact for a custom quote.
Primary focus on large-scale enterprise needs may be complex for very small businesses.
Requires significant internal team collaboration to act as an extension of the organization.
Use Cases
Marketing Transformation Managers can integrate Google Analytics and Looker to visualize campaign performance and demonstrate clear business impact.
IT Directors can modernize legacy infrastructure by migrating to cloud-native platforms like Snowflake or Databricks with specialized expert guidance.
Business Executives can identify and unlock new revenue streams by implementing data monetization strategies using tools like Google Ad Manager.
Operational Leads can automate manual data processes and streamline reporting to reallocate valuable human resources to higher-impact tasks.
Data Scientists can leverage Fastloop's engineering expertise to build robust pipelines for training sophisticated AI and machine learning models.
Platform
Task
Features
• real-time analytics and reporting
• machine learning implementation
• data pipeline engineering
• customer data platform (cdp) setup
• data monetization strategies
• advanced analytics reporting
• cloud technology integration
• platform-agnostic consulting
FAQs
Which cloud platforms does Fastloop support?
Fastloop is a platform-agnostic firm that works with all major cloud providers, including Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure. They also integrate with specialized data platforms like Snowflake and Databricks.
Does Fastloop provide one-time projects or ongoing support?
The firm emphasizes continuous iteration through their 'loop' philosophy, working as an extension of your team to ensure data solutions are optimized over time. They focus on delivering long-term value rather than just static, one-off reports.
What kind of AI and machine learning tools does the team use?
The technical team utilizes a wide range of advanced tools including TensorFlow, Keras, and Python for custom models, alongside AI technologies like ChatGPT and Google Bard. They help prepare businesses for sophisticated machine learning applications.
Can Fastloop help with data monetization?
Yes, Fastloop offers specialized services to help businesses unlock new revenue streams from their existing data. They utilize platforms like Google Ad Manager and Analytics Hub to turn data assets into profitable business channels.
What is meant by an 'operator mindset'?
An operator mindset means the team combines strategic business insight with technical mastery to work alongside your business. They focus on modernizing infrastructure and managing data at scale to deliver real business outcomes.
Pricing Plans
Custom
Unknown Price• Cloud infrastructure integration
• AI and machine learning services
• Advanced data analytics
• Data monetization strategy
• Business intelligence reporting
• Customer Data Platform setup
• Operational efficiency automation
• Platform-agnostic technical consulting
Job Opportunities
Technical Lead: Data & Platform Engineering
Empower your business to transform raw data into actionable intelligence through expert AI services, cloud integration, and advanced analytics for better results.
Benefits:
Autonomy to make decisions
Trust to act on decisions
Accountability to see them through
Build real systems
Drive solutions
Experience Requirements:
7+ years in Data or Software Engineering
3+ years in a Technical Lead or Architect role
Other Requirements:
Grit Factor
Mastery of IaC (Terraform or Pulumi)
Hands-on experience with GCP and Azure
CI/CD & DevOps expertise
Strong Python & SQL skills
Responsibilities:
Design end-to-end data architectures
Personally handle high-impact plumbing
Security & Governance Gatekeeping
Modern DataOps & Reusable Assets
Agile Leadership
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Senior Ai Architect (Architect-Practitioner)
Empower your business to transform raw data into actionable intelligence through expert AI services, cloud integration, and advanced analytics for better results.
Benefits:
Autonomy to make decisions
Trust to act on decisions
Accountability to see them through
Build real systems
Drive solutions
Experience Requirements:
10+ years in software or data engineering
3+ years building, deploying, and operating LLM-based systems
Other Requirements:
Grit Factor
Production experience with Vertex AI, OpenAI, Azure AI
Expert-level Python
Strong SQL and data modeling fundamentals
Strong consulting instincts
Responsibilities:
Architect agentic workflows
Design retrieval systems (RAG)
Evaluation & Metrics Ownership
Technical Leadership & Delivery
Strategic Consulting & Practice Enablement
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Ratings & Reviews
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