Use Cases

DeltaEngine’s building blocks work together to cover every stage of an AI project, from concept to production-grade deployment. Below are representative scenarios showing how Delta Lab, Delta Apps, Delta Flow, and Delta Engine combine to deliver real-world value.


Goal Reduce the time a law firm spends reviewing NDAs and MSAs.

Workflow

  1. Build a clause-extraction model in Delta Lab.

  2. Package an interactive review interface with Delta Apps using the Content Creator Tool and Vector Search Tool.

  3. List the finished app on Delta Flow for internal teams to access.

  4. Run large document batches on Delta Engine for cost-efficient processing.

Result First-pass reviews drop from hours to minutes while maintaining citation accuracy.


Multilingual Customer Support Bot

Goal Offer real-time support in six languages without hiring separate regional teams.

Workflow

  1. Use Delta Lab to fine-tune a domain-specific language model.

  2. Assemble a chatbot in Delta Apps with the Translation Tool, Notification Tool, and Logic Router Tool.

  3. Publish the bot in Delta Flow so business units can integrate it via API.

  4. Scale requests automatically through Delta Engine during peak traffic.

Result Customer satisfaction increases and support costs remain stable as the business grows internationally.


Web3 Portfolio Tracker

Goal Provide users with daily wallet summaries and risk alerts.

Workflow

  1. Configure an on-chain data pipeline in Delta Lab.

  2. Combine the On-Chain Tool, Scheduler Tool, and Notification Tool in Delta Apps.

  3. Distribute the tracker as a freemium service on Delta Flow.

  4. Use Delta Engine to manage blockchain queries at low latency.

Result Users receive timely alerts and insights while the creator earns usage-based revenue.


Automated Content Pipeline

Goal Generate and schedule marketing posts, then track performance metrics.

Workflow

  1. Train a brand-optimized copy model in Delta Lab.

  2. Build a full pipeline in Delta Apps with Content Creator, Scheduler, and Analytics tools.

  3. Expose the pipeline through Delta Flow so multiple teams can reuse it.

  4. Perform heavy inference workloads on Delta Engine during campaign launches.

Result Campaign production cycles shrink from days to hours, freeing creative teams for strategy.


Predictive Maintenance Dashboard

Goal Warn factory operators of equipment failures before downtime occurs.

Workflow

  1. Use Delta Lab to train a predictive model on sensor logs.

  2. Create a dashboard in Delta Apps with Data Retriever, Vector Search, and Notification tools.

  3. Deploy privately via Delta Flow for authenticated plant managers.

  4. Scale inference spikes through Delta Engine as telemetry volume grows.

Result Downtime drops noticeably while maintenance planning becomes data driven.

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