--- title: "Glean Alternative Self-Hosted: Enterprise AI Without the Managed-Cloud Tax" slug: "glean-alternative-self-hosted" author: "ibl.ai Engineering" date: "2026-06-01 17:30:00" category: "Premium" topics: "Glean alternative, Glean self-hosted alternative, enterprise work AI alternative, Glean per-seat alternative, enterprise search AI self-hosted, knowledge work AI alternative, Glean replacement, owned enterprise AI Glean, work assistant alternative self-hosted" summary: "Glean runs in Glean's cloud and charges ~$40 per user per month. ibl.ai is the self-hosted alternative: runtime inside your VPC, model-agnostic, source-code ownership, no per-seat pricing. Same enterprise-search + agent + knowledge-work surface — different shape." banner: "" thumbnail: "" --- ## The Short Answer **ibl.ai is the self-hosted Glean alternative for enterprises that won't accept the managed-cloud + per-seat shape.** Same enterprise-search + work-AI + agent surface as Glean. Runtime executes inside your VPC (or on-prem, or air-gapped). Any LLM the enterprise chooses. Source-code ownership. No per-seat tax that grows with headcount. ## Why Enterprises Look for a Glean Alternative Three forces drive the search: **1. The per-seat math doesn't work above ~1,000 users.** Glean runs ~$40/user/month. A 5,000-employee company pays **$200,000/month — $2.4M/year** for a workload that runs $1,050/month on direct Claude Sonnet API or $3–8K/month self-hosted on ibl.ai. The bill scales linearly with headcount; the value doesn't. **2. The data lives in Glean's cloud.** Enterprise knowledge, customer records, internal documentation, employee chat — all indexed and accessible through Glean's infrastructure. For regulated industries (financial services, healthcare, government, legal), that's a vendor data-processing relationship compliance teams have to re-paper at every DPA refresh. **3. The model is Glean's choice.** Glean orchestrates against the model selection it controls. Enterprises that want multi-model routing (Opus for complex reasoning, Sonnet for high-volume workflows, Llama for sensitive workloads) can't get that within Glean's architecture. ## What ibl.ai Does Differently **Self-hosted runtime.** The agent runtime (OpenClaw / NVIDIA NemoClaw) executes inside your infrastructure — your AWS / Azure / GCP VPC, your on-prem data center, or your air-gapped enclave. ibl.ai handles orchestration over a secure Ed25519-signed WebSocket. Enterprise data never leaves your perimeter. **Model-agnostic.** Run any LLM the enterprise authorizes: Claude (any tier), GPT-5, Gemini, Llama 4, DeepSeek-R1, Qwen 3, your own deployment. The enterprise sets the routing policy. Different workloads → different models. Model swap is a config change inside your network, not a vendor coordination. **Source-code ownership.** OpenClaw runtime is MIT-licensed. The platform license is perpetual. The enterprise can audit the code, fork it, customize, and run it independently. No vendor lock-in. **No per-seat pricing.** Usage-based (token-priced) or flat-rate (platform license + GPU). The bill aligns with the actual work — not with headcount the enterprise might not deploy AI for in the first 18 months. ## What ibl.ai Replaces from Glean's Surface Same workloads Glean handles, on your infrastructure: - **Enterprise search** across the systems you already run — Slack, Notion, Confluence, Google Drive, SharePoint, Jira, Salesforce, ServiceNow, the rest - **Work agents** — internal-knowledge Q&A, meeting summarization, document drafting, project-status updates - **Help-desk automation** — IT, HR, finance internal-support workflows - **Sales + customer-success copilots** — proposal drafts, account research, renewal preparation - **Compliance + policy Q&A** — internal-policy lookup, audit-defensible reasoning - **Custom multi-agent workflows** — your team builds the agents; ibl.ai orchestrates For the full segment cost math + ChatGPT Enterprise / Microsoft Copilot / Glean comparison at scale: **[Enterprise AI with No Per-Seat Pricing: The Math at Scale](/blog/enterprise-ai-with-no-per-seat-pricing)**. ## The Cost Math Same workload (100M input + 50M output tokens/month at a 5K-employee enterprise): | Approach | Monthly cost | Data location | |---|---:|---| | **Glean** ($40/user × 5K) | **$200,000** | Glean cloud | | **ChatGPT Enterprise** ($60/user × 5K) | **$300,000** | OpenAI cloud | | **Microsoft 365 Copilot** ($30/user × 5K) | **$150,000** | Microsoft cloud | | Direct Claude Sonnet API (token-priced) | ~$1,050 | Anthropic cloud | | **ibl.ai self-hosted (Llama 4 / DeepSeek-R1)** | **~$3,000–8,000** | **Inside your VPC** | Glean is ~25–66× more expensive than ibl.ai self-hosted for the same workload, with the data inside their cloud. For the cross-segment hub: **[What Does AI Actually Cost in 2026?](/blog/what-does-ai-actually-cost-in-2026)** ## Why Glean's Architecture Doesn't Survive Regulated-Industry Buyers Glean's "your data, your cloud" pitch satisfies many enterprise buyers. It doesn't satisfy: - **Banks** (SR 11-7 model risk, FINRA, GLBA, examiner-subpoena reach) — see **[AI Cost Math for Financial Services](/blog/ai-cost-math-for-financial-services-per-seat-vs-usage)** + **[Air-Gapped AI for Banks](/blog/air-gapped-ai-for-banks)** - **Hospitals** (HIPAA boundary, BAA chain) — see **[HIPAA-Compliant AI Alternative](/blog/hipaa-compliant-ai-alternative)** - **Federal agencies** (FedRAMP, CJIS, IL4/IL5) — see **[Air-Gapped AI for Federal Agencies](/blog/air-gapped-ai-for-federal-agencies)** - **Law firms** (ABA Model Rule 1.6 + state-bar opinions) — see **[Harvey AI Alternative](/blog/harvey-ai-alternative)** + **[On-Premise Legal AI Platform](/blog/on-premise-legal-ai-platform)** - **Universities** (FERPA + LMS/SIS integration inside campus) — see **[FERPA-Compliant AI Platform for Higher Education](/blog/ferpa-compliant-ai-platform-for-higher-education)** Self-hosted on ibl.ai works for all five. ## Run the Numbers - **[Self-Hosted AI vs Glean](/resources/comparisons/self-hosted-ai-vs-glean)** — head-to-head deployment comparison - **[Self-Hosted Enterprise AI Platform](/blog/self-hosted-enterprise-ai-platform)** — the cross-segment "self-hosted" argument - **[Enterprise AI with No Per-Seat Pricing](/blog/enterprise-ai-with-no-per-seat-pricing)** — the per-seat-vs-usage argument - **[Self-Hosted AI Agent Platform You Own](/blog/self-hosted-ai-agent-platform-you-own)** — the source-code-ownership case - **[What Does AI Actually Cost in 2026?](/blog/what-does-ai-actually-cost-in-2026)** — cross-segment pricing hub ## Why Family-Owned and New York Matters Here When the AI vendor contract becomes a multi-million-dollar annual line item, the structure of the vendor matters. ibl.ai is **family-owned and operated from New York, NY** — a U.S.-headquartered, domestically-owned, long-term partner with a perpetual platform license and no investor exit pressure. The runtime is open source. The data stays inside your perimeter. The math works at 100 employees or 100,000. A self-hosted Glean alternative isn't a feature checklist exercise. It's an architecture statement about who owns the stack.