amaiko vs Glean: Enterprise Search vs a Proactive Assistant (2026)

What Glean does genuinely well

Most comparison pages bury the competitor’s strengths somewhere in paragraph nine. Let’s not. Glean has earned its position, and three things deserve credit before a single word of criticism.

Best-in-class enterprise AI search. If your problem is “we run a hundred tools and nobody can find anything,” Glean is arguably the best answer on the market. Search over your company’s scattered knowledge is the product, not a feature — and it shows.

100+ connectors. Glean indexes more than a hundred workplace tools, Microsoft Teams included. For a large enterprise with a sprawling SaaS landscape, that indexing reach is the moat: whatever your departments have bought over the years, Glean can probably crawl it.

It appears in every enterprise evaluation. When a corporate IT department shortlists workplace AI, Glean is on the list — reliably enough that competitors define themselves against it. That presence wasn’t bought; it was earned by shipping search that works.

So why does this page exist? Because “is Glean good?” is the wrong question. It is. The right questions are whether enterprise search is what your company actually needs from AI — and whether, at Glean’s price of entry, you can buy it at all.

Search-first vs assistant-first: five structural differences

The amaiko vs Glean comparison is not two products racing on the same track. They start from opposite premises. Glean assumes your problem is finding information. amaiko assumes your problem is everything that happens after the finding — and everything you never thought to search for.

Retrieval is not memory

Glean’s index is superb at fetching. Ask, and it retrieves — across more tools than almost anything else on the market. But an index does not accumulate understanding. It cannot tell you which of two conflicting documents reflects the actual decision, why the project changed course in March, or who really owns a topic when the org chart says otherwise. amaiko builds a persistent corporate memory that grows with every interaction: decisions, context, who knows what, why things were done the way they were. When an employee leaves, their context stays. The measurable effect for amaiko teams: 35% less time spent searching and onboarding up to 57% faster — not because search got better, but because the need to search keeps shrinking.

A search box waits. amaiko doesn’t.

Search is the purest form of reactive AI: it creates value only in the moment someone asks. Every insight sits behind a query somebody has to think of — and the queries nobody thinks of go unanswered forever. amaiko works the other way around. It monitors your company’s signals and acts first: your morning briefing is ready before you open the laptop, your inbox is triaged before you read it, meeting follow-ups appear without anyone asking. Glean made finding faster. amaiko makes asking unnecessary.

Finding is not doing

The best search result in the world still leaves all the work on your desk. amaiko runs a growing marketplace of specialized AI agents — for meetings, email, research, knowledge linkage and more — that you assemble to fit your company and that coordinate on complex requests and execute, not just point. See how the agent network operates. A search engine hands you the manual; an assistant does the task.

A connector is not a colleague

Glean’s Teams connector treats Microsoft Teams as one more data source to index. amaiko treats Teams as the place where work happens: it lives there as an assistant, in the chat window your team already has open all day. The difference sounds subtle and isn’t — one product visits your workplace to read; the other works in it. And because amaiko is a plain-language chat, anyone can use it — no prompt engineering, no training program.

An enterprise project is not an onboarding

Deploying a platform that indexes a hundred tools is, unavoidably, an enterprise project: connector by connector, permission model by permission model, with IT owning the rollout. That is not a flaw in Glean — it is the nature of what Glean builds. But it is a cost. amaiko’s onboarding is a single Teams chat: install it, say hello, and it starts working. No deployment phase, no admin marathon, no change-management deck.

The data-control question

Glean is cloud-only on US infrastructure — your data lives in the US, full stop. For regulated industries, security-conscious enterprises, and anyone who needs data kept in Europe, that is often where the evaluation stops. amaiko’s answer is structural, not contractual: EU data residency — data stored in the EU, isolated per tenant, and never used to train public models. amaiko is ISO 42001-ready and aligned with the EU AI Act, the management standard for AI systems. The data question, settled by where the data actually lives rather than by a clause.

The pricing reality

Glean costs $50+ per user per month, sold through enterprise contracts that typically mean six-figure annual commitments. Run the math for a 200-person company: $50 × 200 × 12 is $120,000 a year — as the floor, before the deployment project. That is not a pricing page; it is a procurement filter. Glean has decided who it wants to sell to, and most companies are not on the list.

amaiko’s full-featured Plus tier is €29.91 per user per month, billed annually, with no six-figure commitment — a number a department head can approve without convening the board, for a product that is working the same week.

Who should choose which

Honest segmentation, no sales reflex.

Choose Glean if you are a large enterprise — thousands of employees, dozens of SaaS platforms, a dedicated IT organization — whose dominant pain is findability across that sprawl, and cloud-only US infrastructure passes your data governance review. In that scenario, Glean is the benchmark, and you should evaluate it.

Choose amaiko if you are a Teams-centric company that wants AI acting before anyone asks, a corporate memory that outlives staff turnover, EU data residency that closes the compliance question, an assistant anyone can use without training, and a price built for normal companies rather than the Fortune 500.

Run both? In theory they complement each other — a search layer below, an assistant layer on top. In practice the question rarely arises, because Glean’s commercial model and amaiko’s price point barely intersect. If your company is small enough to find Glean’s pricing absurd, the decision has already been made for you.

If you are surveying the wider field, our roundup of Glean alternatives covers the other contenders. And if you would rather see a proactive assistant than read about one: book a demo — it takes one Teams chat to show you.