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Gruve Tech Stack

AI-native enterprise services firm scaling ML and security delivery

IT Services and IT Consulting Redwood City, California 501–1,000 employees Founded 2024 Privately Held
gruve.ai LinkedIn

Gruve is a 501–1,000-person enterprise services firm founded in 2024, positioning itself around ML, data science, and AI delivery. The tech stack reflects a modern cloud-native services operation (Docker, Kubernetes, AWS/GCP/Azure, Terraform) paired with aggressive adoption of LLM frameworks (LangChain, LangGraph, CrewAI, AutoGen), signaling a shift toward AI-driven engagement models. Hiring velocity is accelerating across engineering and sales—28 roles posted in the last 30 days—suggesting rapid scaling into net-new logo acquisition and presales execution, both named as pain points.

Tech Stack 200 technologies

Core StackDocker Kubernetes AWS Terraform CloudFormation Cursor React Next.js Python Go Node.js JavaScript TypeScript Swift Splunk GCP Azure SAST DAST Windsurf JavaScript/TypeScript RxSwift UIKit Core Data Bazel iOS watchOS SOAR XDR AWS WAF+170 more
AdoptingLangChain LangGraph CrewAI AutoGen SONiC

What Gruve Is Building

◆Challenges

  • Complex multi-stakeholder sales cycles
  • Scaling presales execution
  • Regulatory compliance in india and gcc
  • Net new logo acquisition
  • Protecting ci/cd pipelines from supply chain threats
  • Reducing manual steps
  • Scaling ai inference data centers
  • High-performance low-latency networking
  • Customer adoption of next-gen networking
  • Compliance with pipa

▲Active Projects

  • Proof of value engagements
  • Leaf-spine data center architecture design
  • Rfp response and proposal development
  • Ai security portfolio positioning
  • Practice build: solution skus and reference architectures
  • Zero-trust architecture implementation
  • Cisco data center solution implementation
  • Llm-powered application prototypes
  • Ai agent integration
  • Mcp server integration

Hiring Activity

Accelerating30 roles · 30 in 30d

Department

Engineering
12
Sales
7
Security
5
Support
2
Legal
1
Marketing
1
Product
1

Seniority

Senior
15
Mid
6
Director
2
Junior
2
Manager
2
Lead
1
Staff
1
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About Gruve

Gruve delivers enterprise software and services focused on machine learning, data science, AI, cloud infrastructure, cybersecurity, and customer experience. The company operates across proof-of-value engagements, data center architecture design, zero-trust and security portfolio work, and LLM-powered prototypes. Current project mix includes AI agent integration, multi-cloud infrastructure (AWS, GCP, Azure), and compliance-heavy implementations (zero-trust, PIPA). The organization is headquartered in Redwood City, California, with engineering and delivery teams spanning India, the United States, and Singapore.

HeadquartersRedwood City, California
Company Size501–1,000 employees
Founded2024
Hiring MarketsIndia, United States, Singapore

Frequently Asked Questions

What tech stack does Gruve use?

Docker, Kubernetes, AWS, GCP, Azure, Terraform, Python, Go, Node.js, React, Next.js, and security tools including SAST, DAST, XDR, and AWS WAF. Actively adopting LangChain, LangGraph, and CrewAI for AI integration.

What is Gruve working on?

Proof-of-value engagements, zero-trust architecture, AI security portfolio positioning, LLM-powered application prototypes, AI agent integration, and data center architecture (leaf-spine design, Cisco solutions, high-performance networking).

How this profile is built

Gruve'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.