echoloc
Get started
echoloc/ Companies/ Gramener

Gramener Tech Stack

Design-led data science and low-code analytics platform for enterprise insights

Data Infrastructure and Analytics Princeton, NJ 201–500 employees Founded 2010 Privately Held
gramener.com LinkedIn

Gramener delivers data storytelling and analytics through Gramex, a low-code platform combining visualization, NLG, and AI/ML. The tech stack is production-heavy—Python, React, Kubernetes, AWS/Azure infrastructure, Apache Airflow, and MLOps tooling—reflecting a services-plus-platform model. Active projects center on ML production (pipelines, MLOps, model deployment, monitoring) and sales/marketing analytics, while pain points surface scaling challenges in ML reliability and go-to-market execution (territory balancing, sales-marketing alignment).

Tech Stack 72 technologies

Core StackHubSpot Python JavaScript React AWS Tableau Jira GitLab CI/CD Apache Airflow Kubernetes AWS RDS AWS Lambda Azure DevOps Jenkins Terraform Docker CloudWatch FastAPI Flask Django Azure Apache Azure Machine Learning AWS ECS AWS Elastic Beanstalk VPC Azure Kubernetes Service Azure Monitor Bash GCP+42 more

What Gramener Is Building

◆Challenges

  • Scaling ml production systems
  • Model deployment challenges
  • Maintaining ml system reliability
  • Sales & marketing process challenges
  • Territory balancing
  • Incentive management
  • Marketing-sales alignment
  • Pipeline contribution growth

▲Active Projects

  • Data pipeline and data flow architecture
  • Custom delivery framework
  • Conceptual minimum viable product (mvp) solutions
  • Mlops platform development
  • Ci/cd pipeline automation
  • Model deployment and monitoring
  • Sfe analytics
  • Cross-channel marketing use case
  • Sales & marketing data science solutions
  • Genai-powered data application architecture

Hiring Activity

Minimal15 roles · 0 in 30d

Department

Engineering
8
Data
2
Marketing
2
Design
1
Sales
1

Seniority

Senior
7
Lead
4
Mid
2
Junior
1

Notable leadership hires: Tech Lead

Company intelligence

Find more companies like Gramener by tech stack, pain points and active projects

Get started free

About Gramener

Gramener is a design-led data science firm founded in 2010, now a Straive Company, serving mid-market and enterprise clients in pharma, manufacturing, tech, and public sector. The core offering is Gramex, a low-code platform for building data applications that combine visual analytics, predictive models, and natural language generation to drive business decisions. The team spans 250+ employees across four global locations (US, Canada, India, Singapore), operating as a hybrid services-and-software business: custom delivery work funds platform investment, while the platform scales engagement across CXOs, analysts, and citizen developers. Clients use Gramener to automate reporting, optimize operations, and extract revenue impact from data.

HeadquartersPrinceton, NJ
Company Size201–500 employees
Founded2010
Hiring MarketsIndia, Pakistan

Frequently Asked Questions

What tech stack does Gramener use?

Python, JavaScript, React, AWS, Azure, Kubernetes, Apache Airflow, FastAPI, Flask, Django, Tableau, Docker, Terraform, and GCP. Infrastructure is multi-cloud (AWS/Azure primary) with containerized deployment and CI/CD via GitLab and Jenkins.

What is Gramener working on?

Core projects include MLOps platform development, data pipeline architecture, model deployment and monitoring, CI/CD automation, and sales/marketing analytics solutions. Also building GenAI-powered data application architecture and custom delivery frameworks.

Similar Companies in Data Infrastructure and Analytics

Other companies in the same industry, closest in size

W
Walmart Data Ventures
Data Infrastructure and Analytics
F
Factored
Data Infrastructure and Analytics
N
Nyla Technology Solutions
Data Infrastructure and Analytics

How this profile is built

Gramener'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.