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AI Agents & Assistants

Unique AI

UK / wider Europe Report an error

Panel rating · 6 judges · How to read the stars

Category median

Sovereignty: 1 of 4 dimensions proven

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

by Unique AG · www.unique.ai

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Unique AI: AI-assisted analysis on whats-best.ai Unique 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.

Unique AI at a glance

Vendor
Unique AG
Headquarters
Not stated on the vendor’s pages as of 26 Oct 2026
Data hosting
Not stated on the vendor’s pages as of 26 Oct 2026
Free plan
Not stated on the vendor’s pages as of 26 Oct 2026
Panel verdict
The AI panel rates Unique AI 3.5/5, the mean of 6 judges. Unique AI is a Swiss agentic platform for wealth and asset managers. how scores are made
As of
Vendor pages captured 26 Oct 2026; evaluated by the panel 28 Oct 2026. all sources

Unique 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 4.5 of 5 4.5 of 5
Models & processing location 3.5 of 5 3 of 5
Admin, identity & access controls 3.5 of 5 3.5 of 5
Integrations, connectors & knowledge 3.5 of 5 3.5 of 5
Agent capabilities & guardrails 3.5 of 5 3.5 of 5
European sovereignty 3 of 5 3 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

Training exclusion is stated for the vendor and, through a documented Microsoft opt-out agreement with abuse monitoring disabled, for the model provider itself; retention is published per service — prompts and answers held with deletion on request, thirty days after termination by default, ten years for audit logs — and a data processing addendum plus SOC 2 Type 2 and ISO 27001/9001/42001 audits cover the product. The captured pages give different figures for default retention (ten years after the last transaction on the privacy page versus thirty days after termination in the security documentation), and deletion runs through an email request confirmed by email rather than an admin-controlled audit trail, which keeps it just short of the top level. 3 5 6 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 default models are Azure OpenAI GPT deployments kept separate from public OpenAI services, storage remains in Switzerland, three deployment models including a customer-managed tenant on the customer's own cloud are documented, and self- or cloud-hosted custom models can be connected. But the trust pages describe OpenAI access through Microsoft data centres in Switzerland, Europe, the US, UK and Asia, and we found no public information on an administrator-selectable EU-only processing switch enforced across models, agents and connectors, nor a published inference region per model. 3 6 7 9

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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

Granular custom roles with transitive inheritance, per-resource and per-action allow/deny policies covering chat, assistants, MCP connectors and analytics, audit logs written implicitly on every operation and exportable on request, SharePoint permissions synchronised into the knowledge base, and usage analytics with per-user daily spending limits make this genuine IT-grade governance. We found no public information on single sign-on or SCIM user provisioning, and granular policies are manageable only via the API while the interface offers inheritance only. 8 10 11 13

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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

Deep-documented connectors for SharePoint and Confluence with incremental file-diff sync, scans defaulting to every fifteen minutes, optional SharePoint permission synchronisation, configurable file types and rate limits, plus an MCP hub with custom MCP servers and a documented API and SDK for embedding assistants in internal systems. We found no public information on connectors for mail, CRM, ticketing or ERP, on webhooks, or on how grounded answers cite their sources. 2 12 13

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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

Prebuilt finance agents for KYC, RFP and onboarding alongside no-code custom agents in Spaces, multi-step workflows with per-tool execution timing and an in-loop hallucination check, agent access to systems and datasets governed per agent through the MCP hub, and benchmarking against human-verified ground truths where flagged outputs go to a human reviewer. We found no public information on human approval configurable before consequential actions, or on schedules and triggers for agent runs. 1 2 14 15

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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

The contracting controller for EEA and Swiss customers is Unique AI AG of Zurich, storage remains in Switzerland on Microsoft Azure under Swiss law and Zurich jurisdiction, and the model provider — Azure OpenAI, deployed separately within the customer's Azure environment — is named with its region. However, we found no public information naming the individual subprocessors or their locations (only categories such as IT services, telecommunications and consulting), Microsoft remains a US-headquartered provider subject to the US CLOUD Act regardless of server region, a New York entity is controller for customers outside the EEA, and ownership is not stated. 3 5 6 7

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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

The published terms describe billing mechanics — invoicing due in thirty days, non-refundable and non-cancelable subscriptions, automatic renewal with thirty days' notice, taxes extra — but every price sits in an order form; we found no public price per seat, per agent or per usage unit and no published tiers, and longer audit-log retention is described only as a contract upsell to a single or customer-managed tenant. A company cannot compute any annual cost from the captured pages. 4 11

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European sovereignty — proven facts

1 of 4 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.

Ownership Not determined — uncited Report an error
Data residency Not determined ⚠ unverified — uncited Report an error
Subprocessors US CLOUD Act reach ⚠ unverified 0/2 pts 3 Report an error

Questions about Unique AI

Is Unique AI European?

Yes, though not from the EU. whats-best.ai classifies Unique AI as UK / wider Europe.

Where does Unique AI store data?

Not stated on the vendor’s pages as of 26 Oct 2026.

Does Unique AI have a free plan?

Not stated on the vendor’s pages as of 26 Oct 2026.

What are the best alternatives to Unique AI?

As of 28 Oct 2026, the panel rates Langdock (4/5), Dust (3.5/5) and Omnifact (3.5/5) highest among the other 15 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: Unique 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 (15)

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

  1. 1 Vendor homepage www.unique.ai Checked 26 Oct 2026 Details →
  2. 2 Features page (platform) www.unique.ai Checked 26 Oct 2026 Details →
  3. 3 Trust center www.unique.ai Checked 26 Oct 2026 Details →
  4. 4 Terms of service www.unique.ai Checked 26 Oct 2026 Details →
  5. 5 Privacy policy www.unique.ai Checked 26 Oct 2026 Details →
  6. 6 Data use, training & retention — found from sitemap docs.unique.ai Checked 26 Oct 2026 Details →
  7. 7 Data use, training & retention — found from sitemap www.unique.ai Checked 26 Oct 2026 Details →
  8. 8 Models & processing location — found from sitemap docs.unique.ai Checked 26 Oct 2026 Details →
  9. 9 Models & processing location — found from sitemap docs.unique.ai Checked 26 Oct 2026 Details →
  10. 10 Admin, identity & access controls — found from sitemap docs.unique.ai Checked 26 Oct 2026 Details →
  11. 11 Admin, identity & access controls — found from sitemap docs.unique.ai Checked 26 Oct 2026 Details →
  12. 12 Integrations, connectors & knowledge — found from sitemap docs.unique.ai Checked 26 Oct 2026 Details →
  13. 13 Integrations, connectors & knowledge — found from sitemap docs.unique.ai Checked 26 Oct 2026 Details →
  14. 14 Agent capabilities & guardrails — found from sitemap docs.unique.ai Checked 26 Oct 2026 Details →
  15. 15 Agent capabilities & guardrails — found from sitemap docs.unique.ai Checked 26 Oct 2026 Details →