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Extract business entities automatically with Aleph Alpha Luminous

Swiftask integrates Aleph Alpha's Luminous models to transform your unstructured documents into actionable data in seconds.

Result:

Save valuable time by eliminating manual data entry and improving your business data reliability.

The complexity of manual entity extraction

Extracting key information from contracts, reports, or emails is a repetitive, error-prone task. Traditional rule-based methods fail to cope with the nuance of natural language.

Main negative impacts:

  • Frequent data entry errors: Human intervention in processing large volumes of documents inevitably leads to costly mistakes.
  • Slow document workflows: Manual processing creates bottlenecks that slow down your entire business value chain.
  • Loss of data value: Information buried in unstructured documents remains unusable for your management systems.

Swiftask connects your workflows to Aleph Alpha Luminous. You get sovereign AI capable of precisely identifying and extracting the entities you need.

BEFORE / AFTER

What changes with Swiftask

Traditional extraction

An operator reads each document, identifies dates, names, and amounts, then enters them manually into an ERP. This method is slow, expensive, and difficult to scale for thousands of files.

Extraction with Swiftask + Luminous

As soon as a document is uploaded, the Swiftask agent sends it to Luminous. The model instantly extracts entities (e.g., contract number, total amount, due date) and automatically injects them into your database.

4 steps to automate entity extraction

STEP 1 : Define your target entities

Indicate in Swiftask which information you want to extract (e.g., named entities, dates, monetary values).

STEP 2 : Connect the Aleph Alpha model

Enable the Luminous connector in your Swiftask workspace to leverage its advanced text understanding capabilities.

STEP 3 : Configure the processing pipeline

Connect your document source (email, cloud drive, API) to trigger extraction immediately upon receipt.

STEP 4 : Integrate the results

Configure the destination for extracted data (your CRM, ERP, or BI tool) for immediate use.

Advanced analysis capabilities of Luminous

The Luminous model analyzes the global semantics of the document to extract entities even when the context is complex or ambiguous.

  • Target connector: The agent performs the right actions in aleph alpha (luminous) based on event context.
  • Automated actions: Named Entity Recognition (NER). Structured data extraction (JSON). Long document analysis. Robust multilingual support. Compliance with European data protection standards.
  • Native governance: Swiftask ensures full traceability for every extraction to guarantee data compliance and accuracy.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-aleph-alpha-(luminous)@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.

Strategic benefits for your business

1. Increased precision

Drastically reduce error rates thanks to the intelligence of Luminous models.

2. Operational scalability

Process thousands of documents daily without increasing your headcount.

3. Digital sovereignty

Use European AI that respects the strictest privacy standards.

4. No-code deployment

Set up your extraction pipelines without writing a single line of code.

5. Productivity gains

Free your staff from tedious extraction tasks for higher-value missions.

Security and sovereignty

Swiftask applies enterprise-grade security standards for your aleph alpha (luminous) automations.

  • Secure infrastructure: Swiftask ensures end-to-end data encryption when calling Aleph Alpha models.
  • Data control: You maintain total control over your documents and extracted entities.
  • GDPR compliance: Using Europe-based models facilitates your compliance with data protection requirements.
  • Auditability: Every extraction is logged in Swiftask for complete traceability.

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

RESULTS

Measurable performance

MetricBeforeAfter
Processing time per doc10-15 minutesUnder 5 seconds
Error rate5-10%< 1%
Processing capacityLimited by humansUnlimited (automated)
ROIHigh entry costs80% cost reduction

Take action with aleph alpha (luminous)

Save valuable time by eliminating manual data entry and improving your business data reliability.

Supercharge your customer support with Luminous AI

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