What tech stack does Glean use?

Glean's core services are built in Python, Java, and Go — a stack consistent with its Google-pedigree founding team, which is deeply familiar with Google's large-scale distributed systems. Python dominates AI and ML model integration, data processing pipelines, and connector development. Go is used for high-throughput, low-latency service infrastructure where predictable performance is critical. Java likely supports enterprise integration paths and legacy connector compatibility.

Glean runs on a hybrid multi-cloud infrastructure spanning AWS (EC2 for compute, S3 for object storage) and Google Cloud Platform. For AI inference, Glean's Model Hub connects simultaneously to Amazon Bedrock, Azure OpenAI, and Google Vertex AI — supporting 15+ frontier models without committing to a single cloud AI vendor. Kubernetes and Docker handle containerized service orchestration; Bazel (Google's open-source build system) is confirmed for builds; CDN and edge delivery use a combination of Cloudflare, Amazon CloudFront, and Fastly. Glean's proprietary Waldo model — a reinforcement learning agentic search model launched April 2025 — runs before frontier LLM calls, delivering approximately 50% lower latency and 25% fewer tokens per query.

Glean's frontend is a React and TypeScript single-page application using Redux for state management, with an Electron wrapper enabling the native desktop experience across Windows and macOS. The frontend build pipeline uses Webpack and Parcel. This conventional modern enterprise SaaS stack makes SDK integrations, browser extensions, and third-party embedding straightforward for technology partners.

On the GTM side, Glean uses Salesforce as its primary CRM, Outreach.io for sales engagement sequences, Marketo for marketing automation, Intercom for in-app support chat, Zendesk for customer support ticketing, and ZoomInfo plus LinkedIn Sales Navigator for prospecting and data enrichment. Greenhouse is the applicant tracking system supporting Glean's aggressive hiring. These signals are consistent with a ~1,650-person enterprise software company scaling a direct sales motion across North America, EMEA, and Asia-Pacific.

Glean's multi-cloud posture (AWS and GCP simultaneously) and model-neutral AI inference layer reflect a company that deliberately avoids single-vendor lock-in at the infrastructure level — a philosophy it preaches to customers about enterprise software in general. Vendors selling cloud infrastructure, AI tooling, or data platforms should lead with neutrality, flexibility, and cross-cloud compatibility messaging. Assuming Glean is committed to any single hyperscaler will lose the conversation.

The Salesforce and Outreach GTM stack creates natural integration points for vendors in the RevOps, data enrichment, and sales intelligence space; Glean is already a power user of these platforms and an active buyer in the category. Glean's use of Kubernetes, Bazel, and multi-cloud compute signals a sophisticated platform engineering team that is a buyer for developer tooling in observability, security scanning, CI/CD, and infrastructure-as-code — especially tools that operate cleanly across AWS and GCP environments. With approximately 1,650 employees and aggressive hiring, HR technology, workforce management platforms, and enterprise learning systems are also active buying categories in 2026.