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Factbird Tech Stack

Real-time manufacturing intelligence platform for production optimization

Manufacturing Copenhagen, Capital Region 51–200 employees Founded 2016 Privately Held

Factbird connects factory floor equipment to cloud analytics (AWS, Azure, Snowflake, Databricks) to surface production bottlenecks and quality issues in real time. The tech stack—Python, SQL, Spark, dbt, MLflow, SageMaker—reflects a data-first architecture built for streaming machine telemetry at scale. Active hiring skews heavily toward sales and product (12 of 18 roles) while the company pursues AI-driven features and platform adoption across EMEA, signaling a shift from early product-market fit toward scaled go-to-market.

Tech Stack 14 technologies

Core StackHubSpot Python AWS Docker Kubernetes dbt Apache Spark Snowflake Databricks MLflow SageMaker SQL Azure LinkedIn

What Factbird Is Building

◆Challenges

Solving real production bottlenecks
Improving oee
Digital transformation on shop floor
Expanding across emea
High-velocity environment
Reducing waste
Pipeline creation and acceleration
Minimizing downtime
Increasing productivity
Future-proofing operations

▲Active Projects

Platform rollout and adoption
Regional events (micro-events, executive dinners, trade shows)
Structured improvement workshops
Customer advisory board program for emea
Regional demand & campaign execution
Performance dashboards
Ai product vision
Ai-driven features
Data pipelines for training models
Production pipeline architecture

Hiring Activity

Decelerating20 roles · 4 in 30d

Department

Sales

7

Product

5

Marketing

3

Data

1

Ops

1

Seniority

Mid

9

Senior

5

Manager

2

Junior

1

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About Factbird

Factbird is a manufacturing intelligence platform that ingests production data from any machine or process and surfaces actionable insights to operators, process engineers, and plant managers. Founded in 2016 and headquartered in Copenhagen, the company serves mid-market manufacturers looking to reduce downtime, eliminate bottlenecks, and improve overall equipment effectiveness (OEE). The product pipeline includes performance dashboards, AI-driven feature releases, and structured improvement workshops delivered as part of customer engagement. Current growth priorities include EMEA regional expansion, platform adoption acceleration, and building out a customer advisory board.

HeadquartersCopenhagen, Capital Region

Company Size51–200 employees

Founded2016

Hiring MarketsDenmark, Poland, Belgium, Netherlands, Germany, United States

Frequently Asked Questions

What tech stack does Factbird use?

Python, SQL, AWS, Azure, Docker, Kubernetes, dbt, Apache Spark, Snowflake, Databricks, MLflow, and SageMaker. The stack emphasizes cloud data warehousing and ML model training for real-time production analytics.