Alhena AI: The Complete Guide (2026)

This is our honest, researched guide to Alhena — what it is, how it works, what it actually costs, who it fits, and how it stacks up against the alternatives. Full disclosure up front: we build an AI support product (Macha) ourselves, so we'll be transparent about that. But the goal here is a genuine guide to Alhena, not a pitch. Where we can't verify a number, we say so.

What is Alhena AI?

Alhena AI's homepage, aimed at ecommerce customer experience.

Alhena is an AI shopping and support assistant built specifically for e-commerce brands. Its promise is two-sided: automate customer support (order status, returns, WISMO, policy questions) and drive revenue (product discovery, recommendations, upsells) from the same conversational agent. It's sold as an all-in-one layer for Shopify-first merchants, with pre-trained "vertical" agents tuned for categories like fashion, beauty, home, travel, and sports.

The company launched in 2022 — originally as Helix3 Labs, Inc., based in Pleasanton, California — and was founded by ex-LinkedIn engineers, with Ashu Dubey as CEO and Nagendra Kumar as CTO. It rebranded from Gleen AI to Alhena in February 2025 (Alhena). On the funding side, the company (as Gleen) reportedly announced a ~$4.9M seed round led by Slow Ventures around 2023 (Alhena); reported totals vary across sources, so treat the number as approximate.

Architecturally, Alhena is an AI agent layer that connects to the tools you already run — Shopify, plus helpdesks like Zendesk, Gorgias, Gladly, and Intercom — rather than a helpdesk replacement. It answers from your knowledge and store data, and where you wire it up, it can take actions like processing returns and updating orders. It's worth being clear on scope from the start: Alhena is deliberately narrow. Where a horizontal platform tries to serve every industry, Alhena's product, pricing, and workflows all assume you are selling physical or digital goods online. That focus is its greatest strength and its clearest limitation.

A quick note on the Gleen → Alhena rebrand

Because the rebrand only happened in February 2025, the product carries a split identity across the web. The Shopify App Store listing still lives at apps.shopify.com/gleen-ai, older G2 and Capterra records reference "Gleen AI," and third-party teardowns are scattered across both names. When you research the product, treat "Gleen AI" and "Alhena AI" as the same company and pool the reviews — otherwise you'll undercount the track record and get a distorted read on maturity.

How Alhena's AI works

Alhena's central marketing claim is that its agent is "hallucination-free." In practice that means it's grounded in your knowledge sources and store data, with guardrails intended to keep it from inventing answers. You connect your help-center content, product catalog, and order data, and the agent responds from that corpus rather than improvising from a generic model. Like most modern e-commerce agents, its answer quality lives and dies by the quality of the knowledge you feed it — the "hallucination-free" framing is best read as a design goal to validate in a pilot, not a guarantee.

Under the hood, Alhena organizes the work into specialized agents rather than a single monolithic bot. A Product Expert Agent handles product discovery, comparisons, and guided shopping by reading your full product catalog and real-time inventory (on Shopify, this maps to the read_products scope, powering product search and recommendations). An Order Management Agent handles order tracking, returns, cancellations, and refund workflows — including in-chat refund processing, return initiation, and live carrier tracking updates. Splitting the job across purpose-built agents is what lets Alhena both answer "which of these two jackets is warmer?" and "where is my order and can I return it?" in the same conversation.

Beyond answering, Alhena is pitched as a full agentic platform: it processes returns, updates orders, triggers workflows, and closes the loop end-to-end without a human in the middle (Alhena). That action-taking — reaching into Shopify and connected systems to actually do things — is what separates a true agent from a deflection chatbot that only links to help articles. If you're evaluating how far that goes, our guide to building custom tools and actions for an AI agent covers the mechanics.

The other half of Alhena is revenue: an AI Shopping Assistant that handles product discovery, recommendations, and upsells, plus a Sales AI and an AI Social Commerce layer that extends the same guided-selling motion into social channels. It also engages customers in 90+ languages, which matters for brands selling across markets. Note that AOV-lift and resolution-rate figures Alhena cites are vendor-reported — useful as directional signals, not independently verified benchmarks.

Key features

• AI Shopping Assistant / Product Expert Agent — pre-purchase Q&A, product comparisons, guided selling, and upsells drawn from your live catalog and inventory to lift conversion and AOV.
• AI Support Concierge / Order Management Agent — automated resolution for order status, returns, cancellations, refunds, WISMO, and policy questions, with in-chat refund processing and live carrier tracking.
• AI Agent Assist — a copilot that drafts replies for human agents rather than fully automating, so the same knowledge base serves both the bot and your team.
• Actions & workflows — process returns, issue refunds, update orders, and trigger multi-step flows in Shopify and connected systems.
• Vertical agents — templates tuned for fashion, beauty, home, travel, and sports, so setup starts from a category-aware baseline instead of a blank slate.
• Review management & social commerce — surface and act on reviews, and carry the shopping assistant into social channels.
• Integrations — Shopify, WooCommerce, Magento, BigCommerce, and headless/custom stacks on the storefront side; Zendesk, Gorgias, Gladly, Salesforce, Klaviyo, and Intercom on the support and marketing side (Alhena Shopify integration).
• 90+ languages for multi-market brands.
• Analytics dashboard — reporting on conversations, resolution, and performance (see the honest note on depth below).

Deployment and setup reality

One of Alhena's more credible operational claims is speed of deployment. For Shopify merchants, setup runs through a standard OAuth flow that handles permissions, token exchange, and automated agent configuration — and Alhena reports most brands are live within 48 hours, with no developer resources, no Liquid theme changes, and no separate implementation fee. That is a genuinely low-friction on-ramp compared with platforms that require a professional-services engagement before you see a working agent.

The trade-off to plan for is the training work behind that speed. Because the agent answers from your knowledge, catalog, and order data, the quality of a pilot is bounded by how clean and complete those sources are. Alhena offers automated weekly retraining to keep answers fresh as your catalog and policies change, but the honest expectation for any grounded agent is that the first week is a tuning exercise: seed the knowledge base well, watch the transcripts, and correct gaps before you widen automation. Alhena is also platform-agnostic beyond Shopify — WooCommerce, Magento, BigCommerce, and headless stacks are supported — though Shopify remains the most polished, best-documented path.

Alhena AI pricing (2026)

Alhena AI's published pricing tiers.

Alhena publishes pricing, which is a point in its favor — many competitors hide it behind a demo. Based on its pricing page and third-party listings as of July 2026, the ladder runs roughly like this:

• Free — a starter tier with roughly 25 conversations/month, useful for testing before you commit.
• Pro — from about $199/month billed annually, including ~200 conversations/month, up to ~50,000 SKUs/URLs, several AI profiles, advanced analytics, email support, automated weekly training, review management, social integrations, and API agents.
• Growth — around $499/month for ~550 conversations/month with advanced AI visibility and ~25 optimization credits.
• Scale — around $999/month for ~1,200 conversations/month with advanced AI visibility and ~50 optimization credits (Capterra).
• Enterprise — custom pricing with volume discounts, a dedicated CSM, custom integrations, and a fully managed AI-visibility program.

A word on the billing model: Alhena bills by conversations and "optimization credits," not strictly per resolution. Encouragingly, it publishes what it doesn't charge for — spam, irrelevant queries, and immediate human handoffs where the AI never engages cost zero credits — which softens the usual worry with conversation-metered pricing. Additional actions beyond your plan are billed as overage at roughly $1.20 each (some earlier listings cited a lower ~$0.83 floor; the published rate has trended toward $1.20). Model this against your real ticket volume: a high-traffic store can move through a conversation allotment quickly, and overage adds up, so the plan tier you pick matters more than the headline price. All figures here are fast-moving — confirm the current numbers directly with Alhena (Alhena pricing).

Pros and cons

Pros

• Purpose-built for e-commerce, with deep Shopify integration, live-inventory awareness, and specialized product/order agents.
• Genuinely two-sided — it's built to sell, not just deflect, which is rare in support-first tools.
• Fast, low-friction deployment — OAuth setup, most brands live within ~48 hours, no Liquid changes or separate implementation fee.
• Transparent, published pricing with a free tier and a clear list of what doesn't consume credits.
• 90+ languages and vertical templates speed up setup for niche brands.
• Reviewers on G2 rate it highly (~4.9/5 across ~36 reviews at the time of writing), praising response quality, easy training, and — carried over from the Gleen era — a responsive team during onboarding.

Cons

• E-commerce-only focus — B2B SaaS, agencies, and service businesses should look elsewhere; the product, pricing, and workflows all assume you sell goods online.
• Analytics depth is limited — the most consistent reviewer complaint is that the dashboard lacks deep trend analysis and long-term comparisons; fine for smaller stores, frustrating at larger scale.
• Modest review volume — the footprint is genuine but still small (tens of reviews, not hundreds), and it's fragmented across the Gleen and Alhena names, so social proof takes some digging to assemble.
• Conversation-based billing can get expensive at high volume once you exceed your plan and hit ~$1.20 overage per action.
• Newer brand identity means some third-party docs, integrations lists, and app-store links still point at "Gleen," which can slow due diligence.

Who Alhena is best for

Alhena is a strong fit if you're a DTC or e-commerce brand — especially on Shopify — that wants one agent to both handle support and drive revenue. If product discovery, recommendations, and upsells matter as much as ticket deflection, its two-sided design is a genuine differentiator. It's also a good option for multi-market brands that need 90+ languages out of the box, and for smaller teams that want transparent pricing and a free tier to start.

It's a weaker fit if you're outside e-commerce, if you need deep analytics and reporting, or if you want an AI layer that spans a broader stack of helpdesks and internal tools beyond the e-commerce core.

Alhena vs alternatives

No single AI agent wins for everyone. Here's an honest comparison of Alhena against the vendors it most often gets shortlisted with — including us.

Where we fit: Macha is an AI agent layer that runs on top of the helpdesk you already use — Zendesk, Freshdesk, Front, Intercom, or Gorgias — and you build agents in plain English. Instead of conversation bundles, we price per AI action (a "credit" is one action the agent takes), so cost tracks the work done rather than a fixed conversation cap. If you want the two-sided sell-and-support motion Alhena is built around, Alhena may be the cleaner fit; if you want to bring your own helpdesk and automate real workflows across it, that's where Macha lives. Compare the pricing model and decide by fit.

Frequently asked questions

What is Alhena AI? Alhena is an e-commerce AI shopping and support assistant (at alhena.ai) that automates customer support and drives revenue through product recommendations and upsells. It rebranded from Gleen AI in February 2025.

Is Alhena the same as Gleen? Yes. Alhena is the rebranded name for Gleen AI; the rebrand happened in February 2025, so older reviews and links may still reference Gleen.

How much does Alhena AI cost? Alhena publishes pricing: a free tier (~25 conversations/month), a Pro plan from about $199/month billed annually, and custom Enterprise pricing. Billing is conversation- and credit-based, with overage around $0.83–$1.20 each. Confirm current rates with Alhena.

Who funds Alhena AI? As Gleen, the company reportedly raised a ~$4.9M seed round led by Slow Ventures (reported totals vary across sources, so treat the figure as approximate).

Does Alhena work with Shopify? Yes — Alhena is built for Shopify-first merchants and is listed on the Shopify App Store (still under the gleen-ai app URL). Setup runs through OAuth with no theme or Liquid changes, and most brands are live within about 48 hours. Beyond Shopify it also supports WooCommerce, Magento, BigCommerce, and headless stacks, and integrates with helpdesks like Zendesk, Gorgias, Gladly, and Intercom plus Salesforce and Klaviyo.

How does Alhena's credit and conversation billing work? Plans include a monthly conversation allowance (roughly 25 free, ~200 on Pro, ~550 on Growth, ~1,200 on Scale), plus "optimization credits" on higher tiers. A credit is consumed when the AI resolves or assists an interaction; spam, irrelevant queries, and immediate handoffs where the AI never engages are not charged. Actions beyond your allowance bill as overage at roughly $1.20 each. Confirm current numbers with Alhena.

Is Alhena good for support only, or does it drive sales too? Both, by design. It runs a Product Expert Agent for discovery, comparisons, and upsells alongside an Order Management Agent for tracking, returns, and refunds. If you only need deflection, that dual focus may be more than you need; if pre-purchase selling matters, it's the point.

What do reviewers say about Alhena? On G2 it rates around 4.9/5 across roughly 36 reviews, with praise for response quality and easy training. The most common criticism is limited analytics depth — the dashboard lacks deep trending and long-term comparisons — which matters more for larger stores.

What are the best Alhena alternatives? Depending on your needs: Yuma AI (Shopify support automation), Rep AI (Shopify conversion/guided selling), Gorgias native AI (for existing Gorgias merchants), and Macha (an AI agent layer that runs on your existing helpdesk with per-action pricing).

Shopping for an AI agent that runs on the helpdesk you already use, with pricing that tracks the work done? See how Macha compares, or explore the pricing.