Company profile

Fusemachines Tech Stack

Enterprise AI products and data/ML engineering services across cloud platforms

Software Development New York, New York 201–500 employees Founded 2013 Privately Held

Fusemachines delivers enterprise AI products and services on a multi-cloud stack spanning AWS, GCP and Azure, with Databricks, Snowflake, Spark and MLflow at the data layer. Projects split between ad-tech audience scoring and DSP activation, and security data work like IBM Watson on OpenShift, which points to client delivery across very different domains. Senior-skewed, accelerating data and engineering hiring plus an open CFO search suggest scaling both delivery and finance leadership.

Tech Stack 140 technologies

Core StackPython Power BI PyTorch TensorFlow AWS OpenShift Prometheus Grafana Databricks Apache Spark Snowflake MLflow Azure DevOps Docker Kubernetes Snowsight GCP Azure Red Hat Enterprise Linux Dell PowerEdge iDRAC IBM Watson IBM Cloud Pak for Data Ceph etcd SDN OVN Azure Machine Learning Azure Kubernetes Service Azure Data Lake Storage+109 more

AdoptingDocker Kubernetes Apache Airflow Dagster

What Fusemachines Is BuildingChallenges and projects from their job posts

◆Challenges

Operating ML pipelines at scale with low-latency scoring
Disaster recovery and business continuity
Standardizing disparate security telemetry
Privacy compliance
Moving away from BI-heavy dependencies
Improving financial data reliability

▲Active Projects

Audience scoring feature pipeline and DSP activation layer
Security data solutions and governance on AWS
AI/ML integration for security incident analysis
IBM Watson deployment and OpenShift cluster upgrades
CI/CD pipelines for ML models and features
Churn and propensity modeling

Hiring Activity

Accelerating20 roles · 7 in 30d

Department

Data

Engineering

Design

Finance

Executive

Ops

Seniority

Senior

Mid

Notable leadership hires: Chief Financial Officer

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About Fusemachines

Fusemachines is a privately held AI company founded in 2013 and headquartered in New York. It sells enterprise AI products and AI solutions to companies across industries, staffed by a global talent base. The company employs 201–500 people and hires across the United States, Canada, Mexico, Brazil and Nepal. Its work covers machine learning, natural language processing, data analytics and data engineering, delivered on major cloud and on-premise platforms.

HeadquartersNew York, New York

Company Size201–500 employees

Founded2013

Hiring MarketsMexico, Brazil, Nepal, United States, Canada

Frequently Asked Questions

What tech stack does Fusemachines use?

Fusemachines uses Python, PyTorch, TensorFlow, Databricks, Apache Spark, Snowflake and MLflow across AWS, GCP and Azure, plus Red Hat OpenShift, Kubernetes, Prometheus and Grafana. It is adopting Apache Airflow and Dagster.

What countries does Fusemachines hire in?

Fusemachines hires in the United States, Canada, Mexico, Brazil and Nepal, with hiring focused mainly on senior data and engineering roles.

What is Fusemachines working on?

Current projects include feature pipelines for audience scoring, a DSP activation layer, security data solutions on AWS, IBM Watson deployment on OpenShift, churn and propensity modeling, and CI/CD for ML models.

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How this profile is built

Fusemachines's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.