Pricing

Clean your Peliqan data automatically with AI agents

Swiftask integrates with Peliqan to automate the cleaning, normalization, and validation of your datasets in real time.

Result:

Save hours on data preparation and ensure flawless quality for all your analyses.

Manual Peliqan data cleaning slows down your projects

Data preparation in Peliqan is often a major bottleneck. Between removing duplicates, fixing formats, and handling missing values, your team spends more time fixing data than using it.

Main negative impacts:

Recurring human errors: Manual handling introduces biases and errors that skew your analysis and decision-making reports.
Operational time loss: Repetitive cleaning consumes valuable resources that could be allocated to high-value tasks.
Loss of trust: If data is unclean, your team loses confidence in the insights generated by your tools.

Swiftask turns Peliqan into a source of clean data. Our AI agents apply intelligent cleaning rules upon ingestion, ensuring constant integrity.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

A data analyst manually exports data from Peliqan, uses Python scripts or Excel to clean columns, then re-imports the file. The process is slow, error-prone, and hard to maintain.

With Swiftask + Peliqan

Swiftask monitors your Peliqan tables. As soon as new data is added, the AI agent automatically applies the defined cleaning rules. Your data is ready to use instantly.

Set up your cleaning workflow in 4 steps

STEP 1 : Connect Peliqan to Swiftask

Link your Peliqan instance to Swiftask via our secure connector to access your tables and datasets.

STEP 2 : Define your cleaning rules

Configure instructions for your AI agent: date formatting, duplicate removal, text normalization, and value validation.

STEP 3 : Automate execution

Enable the trigger: cleaning runs automatically upon every update or according to a scheduled frequency.

STEP 4 : Monitor quality

Track cleaning reports in Swiftask. Receive alerts if anomalies are detected in your data.

Advanced features for your data

The AI agent analyzes the semantics and structure of the data to apply intelligent corrections, going beyond simple filters.

Target connector: The agent performs the right actions in peliqan based on event context.
Automated actions: Intelligent deduplication based on similarity. Automatic formatting normalization (phone, email, dates). Intelligent imputation of missing values. Cross-column consistency validation.
Native governance: All transformations are documented in Swiftask for full traceability (audit trail).

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

Each Swiftask agent uses a dedicated identity (e.g. agent-peliqan@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.

Why choose Swiftask for Peliqan?

1. Increased reliability

Drastically reduce error rates in your critical datasets.

2. No-code scalability

Handle growing data volumes without adding technical burden to your IT team.

3. Productivity gains

Automate 100% of repetitive and tedious cleaning tasks.

4. Full control

Define your own business rules and adjust them in just a few clicks.

5. Enhanced compliance

Ensure your data is clean to meet regulatory and governance requirements.

Data security and governance

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

End-to-end encryption: Data moving between Peliqan and Swiftask is protected by banking-grade security standards.
Access control: Precisely control which agents have access to sensitive Peliqan tables.
Action logs: Every cleaning operation is logged for complete and transparent auditing.
GDPR compliance: Swiftask adheres to data protection standards, ensuring the security of your personal information.

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

RESULTS

Impact on your data operations

Metric	Before	After
Preparation time	Hours per dataset	Seconds
Input error rate	High (manual)	Near zero (AI)
Data freshness	Delayed	Real-time
Human intervention	Daily	Supervision only

Take action with peliqan

Save hours on data preparation and ensure flawless quality for all your analyses.

Generate intelligent reports from your Peliqan data

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