VS

Enterprise search finds answers.

AI infrastructure transforms organizations.

Glean helps employees search across company tools. Rebase gives you the infrastructure to connect every system, build any agent, and transform your organization into an AI company deployed in your cloud, with zero vendor lock-in.

The question isn't which search platform. It's whether you need search or infrastructure.

The question isn't which search platform. It's whether you need search or infrastructure.

What Glean Does

Glean is a Work AI platform built on enterprise search. It indexes documents, Slack messages, and emails from 100+ connectors. The Enterprise Graph maps relationships between documents and people. Glean Assistant is a ChatGPT-like interface grounded in your company data. Glean Agents can automate search-driven tasks. If your primary goal is helping employees find information faster, Glean delivers.

What Rebase Does

Rebase is Enterprise AI Infrastructure. Our Context Engine doesn't just index documents — it connects to live systems. CRM records, infrastructure state, operational data, code repositories. We build a knowledge graph with cross-domain correlation, real-time sync, ownership mapping, and dependency tracking. Agents are one capability. Search is another. Compliance, workflow automation, and institutional memory are others. Rebase is the foundation that enables all of it.

Head-to-Head Comparison

Head-to-Head Comparison

Dimension

Glean

Rebase

What it is

Enterprise search + AI assistant. Indexes documents, Slack, email from 100+ connectors.

Enterprise AI Infrastructure. Connects live systems, builds knowledge graphs, enables agents and automation.

Origin & DNA

Document search company (Slack integration). Added AI layer on top.

AI infrastructure from the ground up. Built for cross-system correlation and orchestration.

What it Indexes

Static content: documents, Slack messages, emails, wiki pages, confluence docs.

Live system state: CRM records, infrastructure metrics, operational data, code repositories, real-time databases.

Knowledge Graph

Enterprise Graph maps relationships between documents, people, and topics.

Context Engine with cross-domain correlation, real-time sync, ownership mapping, dependency tracking, system relationships.

Agent Capabilities

Glean Agents search and answer questions. Task automation for search-driven workflows.

Agent Studio with no-code builder, SDK, MCP workspace. Agents that correlate data, take action, execute workflows. Human-in-the-loop governance.

Action Depth

Agents answer questions grounded in search results. Limited cross-system action.

Agents orchestrate across systems. Update CRM, trigger infrastructure, modify code. Deep action capabilities.

Deployment

Glean single-tenant cloud. Your systems connect to Glean infrastructure. Multi-tenant data layer.

BYOC (your VPC), on-premises, air-gapped. Zero data retention. Your cloud, your rules.

Model Access

Glean-managed models. Limited third-party model flexibility.

AI Gateway: OpenAI, Anthropic, Google, Mistral, local models. True model-agnostic. BYOC.

Scope of Impact

Search and discovery. Helps employees find answers faster.

Full organizational transformation. DataWiki, Ops Automation, Support Agents, Engineering Intelligence, Compliance & Audit.

Typical Buyer

Enterprise (5K+ employees). Focus on knowledge worker productivity.

Mid-market to large enterprise (200-10K employees). Tech-complex: healthcare, fintech, infrastructure, utilities.

Switching Cost

High. Your semantic layer and graph live in Glean. Extraction/reimplementation required.

Low. Your data stays in your environment. Cloud-agnostic, system-agnostic, model-agnostic.

Competitive Moat

Document search is becoming commoditized. Frontier model providers shipping native search.

Live system intelligence + cross-domain correlation + institutional memory. Not commoditizable.

Head-to-Head Comparison

Dimension

Glean

Rebase

What it is

Enterprise search + AI assistant. Indexes documents, Slack, email from 100+ connectors.

Enterprise AI Infrastructure. Connects live systems, builds knowledge graphs, enables agents and automation.

Origin & DNA

Document search company (Slack integration). Added AI layer on top.

AI infrastructure from the ground up. Built for cross-system correlation and orchestration.

What it Indexes

Static content: documents, Slack messages, emails, wiki pages, confluence docs.

Live system state: CRM records, infrastructure metrics, operational data, code repositories, real-time databases.

Knowledge Graph

Enterprise Graph maps relationships between documents, people, and topics.

Context Engine with cross-domain correlation, real-time sync, ownership mapping, dependency tracking, system relationships.

Agent Capabilities

Glean Agents search and answer questions. Task automation for search-driven workflows.

Agent Studio with no-code builder, SDK, MCP workspace. Agents that correlate data, take action, execute workflows. Human-in-the-loop governance.

Action Depth

Agents answer questions grounded in search results. Limited cross-system action.

Agents orchestrate across systems. Update CRM, trigger infrastructure, modify code. Deep action capabilities.

Deployment

Glean single-tenant cloud. Your systems connect to Glean infrastructure. Multi-tenant data layer.

BYOC (your VPC), on-premises, air-gapped. Zero data retention. Your cloud, your rules.

Model Access

Glean-managed models. Limited third-party model flexibility.

AI Gateway: OpenAI, Anthropic, Google, Mistral, local models. True model-agnostic. BYOC.

Scope of Impact

Search and discovery. Helps employees find answers faster.

Full organizational transformation. DataWiki, Ops Automation, Support Agents, Engineering Intelligence, Compliance & Audit.

Typical Buyer

Enterprise (5K+ employees). Focus on knowledge worker productivity.

Mid-market to large enterprise (200-10K employees). Tech-complex: healthcare, fintech, infrastructure, utilities.

Switching Cost

High. Your semantic layer and graph live in Glean. Extraction/reimplementation required.

Low. Your data stays in your environment. Cloud-agnostic, system-agnostic, model-agnostic.

Competitive Moat

Document search is becoming commoditized. Frontier model providers shipping native search.

Live system intelligence + cross-domain correlation + institutional memory. Not commoditizable.

Why Enterprises Choose Rebase

Why Enterprises Choose Rebase

Your business runs on systems, not documents.

Glean searches what people wrote. Your business runs on live data: CRM records, infrastructure state, operational dashboards. Rebase connects to that live state. Agents that correlate real-time data can actually transform how you operate.

Finding information is step one. Correlation is where transformation happens.

Glean finds answers in documents. Rebase correlates data across systems. Which customer is highest-value? Which services depend on this infrastructure? Which engineer owns this codebase? These questions require infrastructure, not search.

Glean agents find answers. Rebase agents run your business.

Glean Agents can answer questions grounded in search. Rebase agents can update your CRM, trigger infrastructure, modify code, execute cross-system workflows. If you need AI to take action, not just answer questions, you need infrastructure.

Day 1, both platforms find answers. Day 365, only one compounds.

Glean improves as you add documents and connectors. Rebase improves as you add systems and agent memory. Institutional knowledge gets richer. Context gets deeper. Only infrastructure compounds into a genuine organizational transformation.

Glean manages your AI. Rebase gives you the infrastructure to manage it yourself.

Glean is a service you subscribe to. Rebase is a platform you own. It deploys in your cloud, uses your models, builds your knowledge graph. You control the AI transformation. No vendor lock-in.

What Glean's $200M+ ARR tells you about the market and why it's not enough.

What Glean's $200M+ ARR tells you about the market and why it's not enough.

Glean proved that enterprise search is a massive category. 100+ connectors, polished UX, strong adoption. If your primary need is helping employees find information faster, Glean delivers exceptionally well. But Gartner found that enterprise search is increasingly commoditized frontier model providers are shipping native search capabilities that erode Glean's core moat.

The structural question isn't whether Glean is good at search. It's whether search alone constitutes an AI strategy. Finding information is table stakes. The next layer correlating data across systems, deploying agents that take cross-system action, building institutional memory that compounds that's infrastructure. And infrastructure is what transforms organizations.

Glean focus

Enterprise search + AI assistant. Helps employees find answers faster.

Rebase focus

Enterprise AI Infrastructure. Connects systems, builds intelligence, deploys agents, compounds knowledge.

When Each Makes Sense

When Each Makes Sense

Glean Makes Sense When

  • Primary goal is helping employees find information faster

  • Search across documents, Slack, and email is your biggest pain

  • Organization is 5K+ employees (Glean's scale zone)

  • Knowledge worker productivity is the biggest AI ROI lever

  • You're satisfied with managed AI rather than owning the infrastructure

OR

What Rebase Does

  • You need to correlate data across live systems, not just documents

  • Agents need to take action, not just answer questions

  • Data sovereignty is required (healthcare, financial services, government)

  • You want to build institutional memory that compounds

  • You need AI infrastructure that scales across your entire organization

  • You want to own your AI stack, not depend on a vendor

When Each Makes Sense

Glean Makes Sense When

  • Primary goal is helping employees find information faster

  • Search across documents, Slack, and email is your biggest pain

  • Organization is 5K+ employees (Glean's scale zone)

  • Knowledge worker productivity is the biggest AI ROI lever

  • You're satisfied with managed AI rather than owning the infrastructure

OR

What Rebase Does

  • You need to correlate data across live systems, not just documents

  • Agents need to take action, not just answer questions

  • Data sovereignty is required (healthcare, financial services, government)

  • You want to build institutional memory that compounds

  • You need AI infrastructure that scales across your entire organization

  • You want to own your AI stack, not depend on a vendor

Why Teams Choose Rebase

Why Teams Choose Rebase

LIVE SYSTEM INTELLIGENCE

Connect to live systems and build a knowledge graph that reflects reality, not documents. Real-time correlation across CRM, infrastructure, operational data, and code repositories enables agents that actually understand your business.

MEASURABLE IMPACT

Reduce manual data sync by up to 80%. Cut engineering delivery time by 60%. Reduce MTTR from hours to minutes. Replace 3-5 point solutions with one platform.

ENTERPRISE READY

SOC 2 Type II. 50+ native integrations. Zero data retention. BYOC/on-prem/air-gapped. HIPAA and GDPR ready.

FAQS

REBASE vs GLEAN

REBASE vs GLEAN

Is Rebase a competitor to Glean?

Not directly. Glean is an enterprise search and AI assistant platform. Rebase is AI infrastructure — the foundational layer that connects your live systems, builds organizational context, and enables agents, search, compliance automation, and more. You could run search and agents on top of Rebase infrastructure just like you might run applications on AWS.

We already use Glean. Do we need Rebase?

How is Rebase's Context Engine different from Glean's Enterprise Graph?

Glean runs in single-tenant cloud. Is that different from Rebase's BYOC?

Can Glean agents do what Rebase agents do?

Glean is valued at $7.2B. Why should I trust a seed-stage startup?

Your organization needs more than search. It needs AI infrastructure.

Your organization needs more than search. It needs AI infrastructure.

See why enterprises choose Rebase to become AI companies not just find documents faster.

Your organization needs more than search. It needs AI infrastructure.

See why enterprises choose Rebase to become AI companies not just find documents faster.

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