Pricing

Find information instantly in Noor with semantic search

Swiftask connects your AI agents to Noor to transform your document search. Stop searching by keywords, start searching by intent.

Result:

Save valuable time by accessing precise answers directly from your Noor documents.

Keyword search in Noor limits your efficiency

You store thousands of documents in Noor, but your teams struggle to find critical information. Classic keyword search fails when the terms used don't exactly match the document. The result: daily time loss and growing frustration.

Main negative impacts:

Irrelevant results: Classic text search ignores context and synonyms, returning outdated or off-topic documents.
Productivity drain: Your experts spend hours navigating folders to find a specific procedure or piece of data.
Siloed knowledge: Information exists but remains inaccessible, preventing fast decision-making and effective collaboration.

Swiftask implements a semantic search layer over your Noor data. Our agents understand the meaning of your questions and extract the precise answer, regardless of the vocabulary used.

BEFORE / AFTER

What changes with Swiftask

Traditional search

A team member searches for 'refund policy'. If the document is titled 'Returns conditions', the search fails. They must manually open every file to verify its content.

Swiftask semantic search

They ask 'How do I get a refund?'. The AI agent understands the intent, analyzes the semantic content of Noor documents, and extracts the answer directly, including deadlines and conditions.

Activate intelligent search in 4 steps

STEP 1 : Connect your Noor instance

Integrate Swiftask with Noor in a few clicks via our secure connector. Your documents become instantly exploitable by AI.

STEP 2 : Automatic semantic indexing

Swiftask analyzes and vectorizes your Noor data to enable deep content understanding.

STEP 3 : Configure the search agent

Define search scopes and the tone of your AI agent's response without writing a single line of code.

STEP 4 : Query your bases

Ask questions in natural language within Swiftask and get sourced answers directly from your Noor documents.

Advanced search capabilities

The agent analyzes the query, identifies key concepts, and compares vector similarity with your indexed documents in Noor.

Target connector: The agent performs the right actions in noor based on event context.
Automated actions: Multi-document search. Extraction of precise answers with citations to sources. Support for complex natural language. Contextual filtering based on document metadata.
Native governance: Search precision improves continuously as the AI learns from your specific business context.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-noor@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Benefits of Noor integration

1. Increased precision

Get answers based on meaning, not on exact term matching.

2. Massive productivity gain

Drastically reduce search time for your operational teams.

3. Democratized access

Any team member can find complex information without being an expert in Noor's structure.

4. Sourced answers

Every answer provided by the AI is accompanied by the exact reference to the original document in Noor.

5. Guaranteed confidentiality

Semantic search strictly respects the access rights defined in your Noor instance.

Security and privacy

Swiftask applies enterprise-grade security standards for your noor automations.

Data isolation: Your Noor data is processed in an isolated and secure environment.
Respect for permissions: The AI agent can only access documents the user is authorized to see.
End-to-end encryption: All communications between Noor and Swiftask are encrypted.
GDPR compliance: We adhere to the strictest standards for protecting your corporate data.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on internal performance

Metric	Before	After
Average search time	10-15 minutes	Under 5 seconds
Search success rate	60%	95%+
Tool adoption	Low (complex search)	High (conversational interface)
KB maintenance	Strict manual organization	Automatic intelligent indexing

Take action with noor

Save valuable time by accessing precise answers directly from your Noor documents.

Configure custom Noor alerts with your AI agents

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