Pricing

Ensure reliable Pipeline data flows with AI-powered validation

Swiftask embeds an AI layer into your pipelines to validate, normalize, and clean your data in real-time.

Result:

Eliminate input errors and corrupted formats before they ever reach your destination systems.

Data pipelines suffer from poor input quality

Data is the fuel for your business, but its quality is often compromised by manual entry or unstructured sources. A pipeline without effective validation propagates errors, making your analytics and decisions obsolete.

Main negative impacts:

Corrupted downstream data: A minor error at the input multiplies across your databases, distorting your reporting and business processes.
Costly manual correction: Your technical teams spend disproportionate time cleaning poorly formatted datasets instead of innovating.
Compliance risks: Non-validated data can lead to regulatory or security compliance breaches, exposing your company.

Swiftask acts as an intelligent filter at the heart of your pipelines. Our AI agents verify, validate, and enrich your data instantly based on your specific business rules.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

Raw data enters your pipeline. Format errors, missing fields, or outliers are only detected once stored, requiring complex human intervention to fix the database.

With Swiftask + Pipeline

Every piece of data is analyzed by Swiftask as it moves through the pipeline. If an anomaly is detected, it is automatically corrected or isolated for review, ensuring only clean data proceeds.

Setting up your intelligent validation in 4 steps

STEP 1 : Define your validation rules

Configure validity criteria in Swiftask: expected formats, allowed values, mandatory fields, or logical consistency.

STEP 2 : Connect Swiftask to your Pipeline

Integrate Swiftask as a validation step in your existing data flow. The Pipeline connector ensures seamless operation.

STEP 3 : Activate the AI cleansing agent

The AI analyzes flows in real-time, corrects minor errors, and flags critical inconsistencies for human action.

STEP 4 : Monitor flow quality

Use the Swiftask dashboard to track rejection rates and the health of your data continuously.

Advanced validation capabilities

The agent examines every record to detect structural anomalies, duplicates, and syntax errors, while ensuring compliance with defined data schemas.

Target connector: The agent performs the right actions in pipeline based on event context.
Automated actions: Automatic string cleansing. Normalization of date and currency formats. Duplicate detection and merging. Inter-field logical validation. Alerts triggered for critical corrupted data.
Native governance: Swiftask adapts to your evolving data needs without modifying your pipeline's infrastructure.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-pipeline@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 automated validation

1. Guaranteed data integrity

Ensure data quality at the point of entry, drastically reducing downstream errors.

2. Operational time savings

Automate repetitive cleaning and free up your analysts for higher-value tasks.

3. Proactive detection

Identify anomalies before they become critical business issues.

4. No-code adaptability

Modify your validation rules in a few clicks without touching your pipeline source code.

5. Enhanced compliance

Apply strict quality and security standards across all your data flows.

Enterprise-grade security and compliance

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

Secure data processing: Your data is processed in an isolated environment, adhering to the strictest security standards.
Governance of rules: Control who accesses and modifies validation rules within your Swiftask workspace.
Detailed audit logs: Every correction or rejection is logged, allowing you to trace the origin of every piece of data.
GDPR / SOC2 compliance: Swiftask is designed to meet the most rigorous data protection requirements.

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

RESULTS

Impact on your data performance

Metric	Before	After
Data quality	85% accuracy	99.9% accuracy
Processing time	Hours of manual cleaning	Validation in milliseconds
System errors	Frequent	Near-zero
Maintenance cost	High	Reduced by 70%

Take action with pipeline

Eliminate input errors and corrupted formats before they ever reach your destination systems.