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AI Agents & Assistants

Leena AI

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Panel rating · 6 judges · How to read the stars

Category median

Sovereignty: not determined

0–5 in half steps. 5 means the rubric's top anchor is met on the evidence.

by Leena AI Technologies Inc. · leena.ai

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Leena AI: AI-assisted analysis on whats-best.ai Leena AI: AI-assisted analysis on whats-best.ai (dark)

Add ?theme=dark to the image address for dark backgrounds. The badge shows the category and the month of the latest evaluation, and EU-Made where that is the product’s provenance. It never shows a score.

Leena AI at a glance

Vendor
Leena AI Technologies Inc.
Headquarters
Not stated on the vendor’s pages as of 3 Nov 2026
Data hosting
Not stated on the vendor’s pages as of 3 Nov 2026
Free plan
Not stated on the vendor’s pages as of 3 Nov 2026
Panel verdict
The AI panel rates Leena AI 3/5, the mean of 6 judges. Leena AI is an agentic AI platform with pre-built AI Colleagues for back-office work. how scores are made
As of
Vendor pages captured 3 Nov 2026; evaluated by the panel 3 Nov 2026. all sources

Leena AI alternatives, European ones first →

Read this page as one judge. Each weighs the same scores by what they care about.

The Data Protection Officer

Weighted verdict

Signs the DPA and gets asked where a prompt goes. Wants every model provider named as a subprocessor with its region, training excluded for all of them, retention the company controls, and an EU-only switch that also covers agents and connectors — not just the chat window.

Same scores as the panel view — this lens weights them the way this judge cares.

Scored by The Data Protection Officer

Panel median The Data Protection Officer This judge’s scores over the panel median. Each label opens its reasoning below.
Scores per criterion, in stars out of 5
Criterion Panel median The Data Protection Officer
Data use, training & retention 0.5 of 5 0.5 of 5
Models & processing location 2 of 5 2 of 5
Admin, identity & access controls 3.5 of 5 3.5 of 5
Integrations, connectors & knowledge 4 of 5 4 of 5
Agent capabilities & guardrails 4 of 5 4 of 5
European sovereignty 1.5 of 5 1.5 of 5

Data use, training & retention

How this is scored

What happens to prompts, uploaded files, connected data and outputs: whether any of it trains a model (the vendor's or a model provider's), how long it is kept and where logs live, whether zero-retention is available, and whether a data processing agreement covers it.

0 — No statement on training or retention; the privacy policy is a website policy that does not cover the product.

3 — A general statement that business data is "not used for training", with no word on retention, on the model providers behind the product or on logs.

5 — Business data excluded from training by contract, retention periods stated for chats and files, and a DPA offered to business customers.

8 — No-training commitments stated for the vendor and every model provider it routes to, retention configurable by the admin (including deletion of chat history), zero-data-retention terms with the model providers named, and abuse-monitoring retention described.

10 — Data use fully accounted for: training, retention, logging and abuse monitoring stated per model provider, customer-controlled retention and deletion with an audit trail, outputs and connected data treated as customer data in the DPA, and an independent audit (SOC 2, ISO 27001 or ISO 42001) covering the product.

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The Data Protection Officer

I found no statement on whether prompts, files, connected data or outputs train any model, on retention periods, on zero-retention terms, or on a data processing agreement covering the product; the captured terms cover website cookies and a liability disclaimer for free website use. Encryption at rest and in transit, a full trace log and SOC 2 / ISO certifications are documented, and PII in conversations can be masked or blocked — but none of that answers where a prompt is kept or who learns from it. 2 4 7

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Models & processing location

How this is scored

Which models sit behind the product and who runs them, where inference and storage happen, whether the customer can pin processing to the EU, choose or exclude model providers, bring its own model or key, or run the product in its own cloud or on premises.

0 — The models behind the product and the processing location are not stated.

3 — The model family is named, but where inference runs and through which provider (the model maker, a hyperscaler, the vendor) is unstated.

5 — Models and their providers named, with an EU processing option stated for storage and at least the default model.

8 — Each available model listed with provider and inference region, EU-only processing selectable by the admin and enforced across models, model providers excludable, and bring-your-own-key or own-cloud deployment documented.

10 — Processing fully under the customer's control and documented: EU-only or on-premises inference for every feature including agents and connectors, open-weight or self-hosted models supported, data flows per feature published, and a residency commitment in the contract rather than on a marketing page.

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The Data Protection Officer

The model matrix is unusually public: OpenAI, Azure OpenAI, Anthropic and Amazon Bedrock are each listed with their models, the default is OpenAI GPT 5.5, and retiring models have published replacement paths. Deployment offers public cloud, single-tenant or private VPC across fourteen-plus regions; what I found no statement on is an EU processing option for storage or inference, the region each provider runs in, or any way to pin or exclude a provider. 3 4

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Admin, identity & access controls

How this is scored

What the IT department controls: SSO and SCIM provisioning, roles and groups, which models, agents and connectors each group may use, retrieval that respects the permissions of the source system, audit logs, usage reporting, and policies such as data-loss prevention — and whether reporting on staff use is scoped and documented.

0 — No admin features documented; accounts are individual sign-ups.

3 — A team workspace with an owner and member invitations, but no SSO, no roles and no audit log.

5 — SSO, admin and member roles, user management, and an admin view of usage.

8 — SAML/OIDC SSO with SCIM provisioning, group-based permissions for models, agents and connectors, retrieval that inherits source-system permissions, exportable audit logs, and usage analytics with documented scope.

10 — Governance a regulated company can operate: fine-grained policies (DLP, content filters, prompt and output logging rules), audit logs streamed to a SIEM, per-agent ownership and approval, usage reporting that can be aggregated or pseudonymised for works-council agreements, and every admin action logged.

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The Data Protection Officer

Role-based control reaches the individual skill, directory sync from Active Directory and the HRIS is documented, retrieval inherits the source system's permissions with no second permissions table, every change is written to the audit trail, and MCP calls are tracked in analytics. I found no naming of SAML/OIDC or SCIM, no export of audit logs to a SIEM, and the scoping of usage reporting for works-council purposes is not described — an identity and SSO connector category exists, but as a category name, not a documented control. 4 5 6 7

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Integrations, connectors & knowledge

How this is scored

How the product reaches company knowledge and systems: connectors to file stores, wikis, mail, CRM, ticketing and ERP, how fast and how completely they sync, the API, support for open protocols such as MCP, and how the assistant cites the sources it answers from.

0 — No integrations; users paste text or upload files one at a time.

3 — File upload and one or two connectors (for example a drive), with no API and no statement on sync or citations.

5 — A connector library covering the common file stores, wikis and collaboration tools, answers citing sources, and a documented API.

8 — Connectors to file stores, wikis, mail, CRM and ticketing with incremental sync, custom connectors or MCP support, an API and webhooks for embedding assistants and agents in other tools, and source citations on every grounded answer.

10 — The product sits in the company's systems: read and write connectors with documented scopes, MCP servers and clients, contact-centre or telephony integration where relevant, a knowledge layer that can be audited and corrected, and the data, agents and configuration exportable when the customer leaves.

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The Data Protection Officer

Two hundred plus pre-built connectors across twenty-seven categories, deep documented scopes for Workday and ServiceNow, MCP on both client and server side with permission-aware calls and source links on grounded answers, A2A handoffs, a governed no-code REST connector, SFTP, LDAP and browser automation. I found no statements on connector sync frequency, on webhooks, or on exporting data, agents and configuration when a customer leaves. 1 5 6

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Agent capabilities & guardrails

How this is scored

What an agent can actually do and where it stops: multi-step tasks, tool use and actions in other systems, scheduling and triggers, human approval before consequential actions, run logs, evaluation and testing before release, and the limits the vendor states rather than hides.

0 — No agents; the product is a chat window, whatever the marketing says.

3 — Saved prompts or custom assistants with instructions and files, but no actions in other systems and no run history.

5 — Agents that call tools or APIs and run multi-step tasks, built without code, with a log of each run.

8 — Agents that act in connected systems with scoped permissions, human approval configurable per action, triggers and schedules, test and evaluation tooling before release, and documented limits and failure handling.

10 — Agents a business can put in production and account for: versioning and staged rollout, evaluation against test sets, monitoring of quality and cost per agent, handover to a human with full context, every action attributable to the agent and the person who deployed it, and the vendor's own statement of what agents must not be trusted with.

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The Data Protection Officer

High-risk actions — record updates, provisioning, money movement — sit behind explicit approvals, four layers of guardrails block out-of-policy actions before execution with violations logged per turn in run history, every action is attributable to the user it was taken for, and workflow versions carry versioned test cases with published-version test runs and documented failure handling. I found no public statement on staged rollout, per-agent cost monitoring, human handover with full context, or the vendor's own account of what these agents must not be trusted with. 3 4 7 8

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European sovereignty

How this is scored

Who the contracting entity and the parent company are, where customer data is hosted, and who the subprocessors are — model providers above all, then hosting, search, telephony and email. Independently sourced by the sovereignty pipeline; for an AI product the model provider is a subprocessor, so a European interface over a non-European model counts as such.

0 — Non-EU vendor and contracting entity, hosting unstated, subprocessors (including model providers) unnamed.

3 — A privacy policy exists, but hosting location is unstated or non-EU and the model providers behind the product are not named as subprocessors.

5 — EU hosting stated and an EU contracting entity, but prompts reach non-EU model providers or other subprocessors without a stated safeguard or EU region.

8 — EU hosting on named infrastructure, EU contracting entity, every subprocessor listed with its location including model providers, EU inference available, and a DPA offered.

10 — Sovereign end to end and evidenced: European ownership, entity, hosting and model processing, every subprocessor European or optional, data export and deletion documented, and a security or certification statement published rather than implied.

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The Data Protection Officer

A privacy policy exists and the terms are governed by the law of the Netherlands, but the contracting entity's jurisdiction is not published, hosting is stated only as fourteen-plus unnamed regions, and the model providers — OpenAI, Azure OpenAI, Anthropic, Amazon Bedrock — are named in the configuration documentation while I found no subprocessor list giving their locations or regions. No EU hosting, EU inference or residency commitment is stated in anything I read; as it stands, I cannot tell where a prompt physically travels or under which processor's terms. 2 3 4

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Pricing transparency not rated — the vendor publishes no price

How this is scored

Whether a company can compute the real annual cost from public pages alone: price per seat, per agent, per conversation or per usage unit, what is included in each tier, usage limits and overage, which models, connectors or agents cost extra, minimum seats and term.

0 — No public prices at all; every customer is a sales call.

3 — A starting price or "from" figure exists, but usage limits, included models and what scales the cost are unclear.

5 — Prices per tier are public with the main inclusions, but usage limits, overage, agent runs or enterprise features (SSO, audit logs, EU processing) are unpriced or "on request".

8 — Every tier priced publicly with seat or usage units, usage limits and overage rates, add-ons listed, minimum seats and term stated.

10 — Complete price computability: annual cost derivable for a given number of seats, agents or conversations, with every usage rate, model surcharge, add-on and support tier and the cancellation and data-return terms published.

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The Data Protection Officer not rated — no public information

We found no public information on pricing: no per-seat, per-agent or usage prices, no tiers, usage limits, overage, minimum seats or term appear on the captured pages. The homepage publishes ROI and savings ranges, which are outcomes rather than prices. 1 2

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European sovereignty — proven facts

0 of 6 dimensions proven

Built only from facts shown on the vendor's own pages. A dimension we could not prove is left open, not scored as zero.

Hosting location Not determined — uncited Report an error
Hosting options Not determined — uncited Report an error
Open source Not determined — uncited Report an error
Data processing agreement Not determined — uncited Report an error
Transfer impact assessment Not determined — uncited Report an error

Questions about Leena AI

Is Leena AI European?

Not determined: the vendor’s pages as captured do not say where Leena AI is based.

Where does Leena AI store data?

Not stated on the vendor’s pages as of 3 Nov 2026.

Does Leena AI have a free plan?

Not stated on the vendor’s pages as of 3 Nov 2026.

What are the best alternatives to Leena AI?

As of 4 Nov 2026, the panel rates Langdock (4/5), Dust (3.5/5) and Unique AI (3.5/5) highest among the other 18 AI Agents & Assistants products evaluated. Ratings that look equal are rounded to half stars; the order uses the unrounded rating, then the name. The highest-rated European alternative is Langdock (EU-Made). Ratings are the AI panel’s opinion, formed from public evidence: how scores are made. The full list, with European products first: Leena AI alternatives.

Where this could be wrong

What we left out

A claim that does not survive our checks costs us the claim, not the page. This is what was taken off this one.

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Sources (8)

The pages every claim on this page was read from — each one checked, dated, and kept verifiable.

  1. 1 Vendor page leena.ai Checked 3 Nov 2026 Details →
  2. 2 Terms of service — found from the homepage leena.ai Checked 3 Nov 2026 Details →
  3. 3 Models & processing location — found from sitemap docs.leena.ai Checked 3 Nov 2026 Details →
  4. 4 Admin, identity & access controls — found from sitemap leena.ai Checked 3 Nov 2026 Details →
  5. 5 Integrations, connectors & knowledge — found from sitemap leena.ai Checked 3 Nov 2026 Details →
  6. 6 Integrations, connectors & knowledge — found from sitemap leena.ai Checked 3 Nov 2026 Details →
  7. 7 Agent capabilities & guardrails — found from sitemap docs.leena.ai Checked 3 Nov 2026 Details →
  8. 8 Agent capabilities & guardrails — found from sitemap docs.leena.ai Checked 3 Nov 2026 Details →