Pricing

Supercharge dynamic forecasting with Hex and Swiftask

Swiftask integrates with Hex to turn your notebooks into intelligent forecasting engines. Analyze, project, and anticipate trends in real-time.

Result:

Increase accuracy and reduce your financial and operational reporting cycles.

The limitations of static forecasting models

Most companies rely on rigid forecasting models that become obsolete the moment they are published. Manually updating data in Hex takes valuable time, preventing Data teams from focusing on strategic analysis.

Main negative impacts:

Data latency: The gap between data collection and forecast updates leads to decisions based on outdated information.
Operational overhead: Data scientists spend too much time maintaining data pipelines instead of improving predictive models.
Lack of agility: Adjusting forecast variables based on changing market contexts is complex and slow.

Swiftask automates the execution and feeding of your Hex notebooks. By connecting live data streams, your AI agent recalibrates your forecasts continuously.

BEFORE / AFTER

What changes with Swiftask

Before Swiftask automation

Analysts manually export data, load it into Hex, re-run notebook cells, and share static reports via email. The process is slow and prone to human error.

With Swiftask + Hex

Swiftask automatically triggers the execution of your Hex notebooks as soon as new data is available. Forecasts are updated instantly in your dashboards.

Deploying your predictive models in 4 steps

STEP 1 : Connect your data sources

Integrate your databases or APIs with Swiftask to centralize incoming data streams.

STEP 2 : Link your Hex project

Use the Hex API to allow Swiftask to execute your notebooks programmatically.

STEP 3 : Configure the forecasting AI agent

Define the thresholds and conditions that trigger a forecast update.

STEP 4 : Automate reporting

Configure alerts or dashboard updates to inform stakeholders.

Key features of the Hex integration

Swiftask analyzes the variances between forecasts and actual results to dynamically adjust model parameters in Hex.

Target connector: The agent performs the right actions in hex based on event context.
Automated actions: Scheduled or conditional notebook execution, injection of dynamic parameters into cells, alerts on model drift, automatic export to BI tools.
Native governance: All executions are logged to ensure the reproducibility of your analyses.

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

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

1. Increased accuracy

Models are always up-to-date with the latest data.

2. Data productivity

Free your data scientists from repetitive maintenance tasks.

3. Fast decision-making

Speed up the feedback cycle with real-time forecasting.

4. Total transparency

A complete history of every model execution.

5. Scalability

Manage hundreds of models simultaneously without extra effort.

Security and data governance

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

Secure authentication: Use encrypted API keys to communicate with your Hex instance.
Environment isolation: Every execution occurs in a controlled and isolated environment.
Audit and compliance: Full traceability of the data injected into your models.
Granular control: Define exactly who can trigger or modify the automations.

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

RESULTS

Measurable impact on your operations

Metric	Before	After
Update time	Hours (manual)	Minutes (automated)
Forecasting frequency	Weekly	Real-time
Forecast error	Variable	Significant reduction
Data Scientist time	40% maintenance	5% maintenance

Take action with hex

Increase accuracy and reduce your financial and operational reporting cycles.