Gloat Tech Stack

AI workflow platform that embeds productivity tools into enterprise operations

Software Development New York, NY 51–200 employees Privately Held

Gloat's platform routes AI capabilities directly into work processes, targeting the documented gap where enterprises spend heavily on AI but capture minimal business value. The tech stack—Python, FastAPI, Django, Kafka, MongoDB, Neo4j—emphasizes real-time workflow processing and graph-based resource mapping. Active hiring is minimal and concentrated in senior engineering roles in Israel, while projects focus on AI agent infrastructure and Fortune 1000 expansion, suggesting the company is scaling impact per employee rather than headcount.

Tech Stack 24 technologies

Core StackAWS Kubernetes Python FastAPI Django Celery MongoDB Figma PostgreSQL Jira React TypeScript Kafka Docker MySQL Neo4j Langchain Java Node.js Go Angular Testim Xray OpenSearch

What Gloat Is Building

◆Challenges

Scalable high-performance systems
Pilot purgatory
Lack of roi
Strategic paralysis

▲Active Projects

Ai agent infrastructure/chain
New logo acquisition
Expansion with fortune 1000 clients
Design system

Hiring Activity

Minimal7 roles · 0 in 30d

Department

Engineering

Product

Sales

Support

Seniority

Senior

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About Gloat

Gloat builds a work orchestration platform designed to surface where AI delivers measurable financial return within enterprises. The product operates across three layers: Mosaic (workflow alignment between people and AI), Ascend (AI readiness training), and Signal (ROI measurement and impact assessment). The company serves organizations at scale—over 1.5 million employees across 30+ Fortune 500 companies—and operates primarily from New York, with engineering based in Israel. Core customers are large enterprises seeking to decouple productivity gains from hiring.

HeadquartersNew York, NY

Company Size51–200 employees

Hiring MarketsIsrael

Frequently Asked Questions

What tech stack does Gloat use?

Python, FastAPI, Django, Celery, PostgreSQL, MongoDB, Neo4j, Kafka, React, TypeScript, Kubernetes, and AWS. The stack emphasizes distributed systems, event streaming, and graph databases for workflow and resource mapping.

How many employees does Gloat serve?

Over 1.5 million employees across 30+ Fortune 500 companies, with recorded impact of 4.8 million strategic work hours unlocked on the platform.