If you have searched for glean alternatives in 2026, you are typically doing one of three things. You are scoping enterprise AI search and the 100-seat minimum or six-week procurement cycle does not fit your timeline. You are evaluating Guru and want to understand whether the card-based model is the right shape for your knowledge. Or you are a UK or EU regulated buyer whose compliance function will not approve a US-controlled inference layer, and "sovereign alternatives" is the term you have been told to look for. The three motivations lead to different answers, and the products that solve each are not interchangeable.
This guide explains the structural differences between Glean, Guru, and the smaller category of sovereign alternatives that has emerged for regulated buyers in the UK and EU. It is written for CTOs and CIOs who are mid-evaluation, already familiar with the basic AI-search pitch, and now trying to work out which of three different products is solving the problem they actually have.
Glean alternatives: what you are really comparing
The vendors that show up when you search for Glean vs Guru vs sovereign alternative are not three versions of the same product. They are three different product shapes, each suited to a different procurement question.
Glean is a universal-connection enterprise AI search tool. It builds a knowledge graph across the document estate, integrates deeply with sources like SharePoint, Google Drive and Confluence, and is designed for organisations with at least 1,000 seats and a dedicated procurement function. The architecture is mature; the price floor and rollout time match the customer base.
Guru is a card-based knowledge platform. Knowledge lives in cards that someone has to author, review, mark verified, and keep current. Its model fits short, discrete units of internal knowledge well. It does not natively answer from the long-form documents that already live in SharePoint or Google Drive; those have to be re-authored as cards, or accessed through connectors that work card-style on top of them.
Sovereign alternatives are the newer category. They take the curation and cross-source-search architecture seriously and add a UK or EU contractual jurisdictional control over the AI processing layer that the larger US-headquartered vendors do not offer. AnswerVault sits in this category. The category is small but is the right shape for buyers whose regulatory exposure makes a US-controlled inference step unacceptable.
The first job for a buyer is to identify which question they are actually asking, then evaluate vendors within that shape. We unpack the same lens at a category level in our enterprise AI search guide for AI organizational knowledge.
Glean and Guru are different products
The most useful framing for a Glean-vs-Guru evaluation is that they are not really competitors. They are products from different category traditions, both of which now describe themselves as AI knowledge tools. The structural differences are large enough that for most teams, the question "Glean or Guru" is mis-asked.
Glean is built for enterprise scale
Glean's connector coverage is broad, the knowledge graph traverses entity and document relationships, and the customer success motion is built for multi-thousand-seat rollouts. The 100-seat minimum and £40 to £50+ per-user-per-month price point reflect that customer base, as does the typical 3 to 6 week enterprise rollout cycle. Pricing is not published; you go through sales. None of this is a flaw; it is a deliberate fit for the customers Glean is designed to serve. We cover the structural details in our AnswerVault vs Glean comparison.
Guru is built for card-shaped knowledge
Guru's model is curated, manually-authored cards. Done well, it produces high-quality short-form content for onboarding, customer support, and policy FAQs. The maintenance overhead is real: someone has to write each card, keep it in sync with the source document, and re-verify it as content changes. From a 10-seat minimum at £12+ per user per month, the model fits teams whose knowledge is genuinely card-shaped. For teams whose knowledge is mostly in long-form documents already living in SharePoint, Google Drive, or Confluence, the work of maintaining a parallel card base compounds. The structural argument is unpacked in our AnswerVault vs Guru comparison.
Where each loses to a different category
Glean loses to a card-based tool when the content is genuinely card-shaped and the team is small enough that the seat minimum is the binding constraint. Guru loses to a knowledge-layer tool when the team's documentation already exists in living source-of-truth systems and re-authoring it would create a parallel maintenance burden. Both lose to a sovereign alternative when the buyer's regulatory exposure cannot tolerate a US-controlled AI processing layer.
Where sovereign alternatives fit
The third category exists because UK and EU data residency is not the same as UK or EU contractual jurisdictional control over the AI processing layer. A platform whose model and inference infrastructure are operated by a US-headquartered company creates a residual exposure that residency alone cannot resolve. For most buyers this does not matter. For regulated buyers in financial services, public sector, healthcare, and certain industrial sectors, it is the constraint that narrows the shortlist most aggressively.
Sovereign alternatives, as a category, take this constraint seriously. The architectural commitment is that the AI processing layer sits inside the same jurisdictional boundary as the data, with contractual provisions that make that boundary defensible to a regulator. Neither Glean nor Guru offers this today.
The category is small enough that buyers genuinely have to read product documentation. The shortlist for UK regulated buyers in 2026 narrows quickly once "non-US AI processing layer" is the filter.
Side-by-side: Glean vs Guru vs sovereign alternatives
The matrix below compares the three categories on the dimensions that matter to a buyer who is mid-evaluation. Vendor-specific figures for Glean and Guru come from AnswerVault's published Glean comparison and Guru comparison pages.
| Dimension | Glean | Guru | Sovereign (AnswerVault) |
|---|---|---|---|
| Minimum seat count | ~100 seats | 10 seats | From 1 user (free), 5 (Pro) |
| Price per user / month | £40 to £50+ (not published) | £12+ | £7 (Pro), £14 (Business) |
| Self-serve signup | No | No | Yes |
| Time to first answer | Weeks | Card setup time | Under an hour |
| Indexes existing documents natively | Yes | Requires re-authoring as cards | Yes |
| Knowledge graph across docs | Yes | No | Yes |
| Source citations | Yes | At card level | At sentence level |
| Web, Teams, Slack | Yes | Yes | Yes (plus CLI, API) |
| Governed, curated document sets | Partial | Yes (cards as curation) | Yes (named SME approval) |
| External access for contractors and partners | No | No | Yes |
| Sovereign (non-US) deployment | No | No | Yes (Enterprise tier) |
The table is opinionated; vendors will dispute individual cells, often with reason. Glean's knowledge graph is genuinely strong; Guru's verified-card model has real value for the content it is designed for. The shape that fits depends on which of the three procurement questions above is yours.
How AnswerVault fits the sovereign alternatives category
AnswerVault is a governed AI knowledge layer designed around the same cross-source knowledge-graph architecture that Glean operates at, applied at a price point and procurement model that does not require a 100-seat commitment, and with a sovereign tier that addresses the constraint Glean and Guru do not.
The product is structured in three tiers. Pro is £7 per user per month with a 5-user minimum. Business at £14 per user per month adds SSO/SAML, API access, data residency, and per-query audit trails. Enterprise sovereign is UK-controlled, contractually outside the jurisdictional reach of the CLOUD Act; for the Enterprise tier specifically, the AI processing layer sits inside the sovereign boundary, not just the data-at-rest layer. AnswerVault is ISO 27001 aligned and ISO 42001 underway; full attestation detail and the trust documents procurement teams need are on our security page.
AI is included in every plan. There are no per-query usage charges, no separate API key requirements, and no need to bring your own model. Customer data is never used to train AI models, by AnswerVault or by our foundation-model providers. The web chat surface is the default, with Microsoft Teams, Slack, CLI, and API available as additional surfaces.
For buyers actively evaluating Glean, AnswerVault is the product designed to run in parallel during the weeks Glean takes to produce a quote. For buyers evaluating Guru where the content is mostly long-form documents in source-of-truth systems, AnswerVault is the alternative that does not require re-authoring those documents as cards. For UK and EU regulated buyers, AnswerVault is the alternative that does not require accepting a US-controlled AI processing layer.
Next steps
If you are mid-evaluation, the most useful first move is to pick a single document source (a SharePoint policy library, a Confluence wiki, or a Google Drive folder of contracts) and connect it to AnswerVault to see real answers from your real documents. That comparison tells you more in an hour than another round of vendor demos will tell you in a week. For a fuller side-by-side on each individual vendor, see the AnswerVault vs Glean and AnswerVault vs Guru comparison pages, or view pricing. For the broader category context, our enterprise AI search and AI organizational knowledge guide walks through the same evaluation across all four platform shapes.
See AnswerVault pricing and start a free trial.
AnswerVault is built by Catapult CX, an enterprise technology consultancy. The product was originally developed for a global pharmaceutical company with strict data governance requirements; the same architecture now powers the SaaS platform.