Generative AI is transforming industries by taking on the “superhuman scale” tasks, like processing massive data sets, drawing previously undrawable conclusions through deep learning, and delivering highly personalized automated experiences to make applications better. Managing the complexity of these long-running, stateful workflows is where Temporal truly shines.

The crew at Docker recently featured us among the top solutions for agentic orchestration in their new Generative AI Catalog, a curated list of open-source projects and Docker images forming the backbone of modern generative AI apps and agentic workflows.

Over the past few months, I’ve been digging through the community to find and chronicle all the cool ways developers are already using Temporal to power Generative AI use cases and agentic workflows. Check out these examples where Temporal powers AI applications, all live and in production today:

1. Video Content Processing and Translation#

If you’re working with video pipelines, Temporal is a game-changer for reliability, speed, and efficiency in parallel processing. Temporal coordinates complex workflows for content ingestion, AI-powered translation, and subtitles, creating a seamless video editing experience that scales. Managing real-time video becomes easier, with consistent, high-quality output.

2. Conversational AI and Call Center Transcription#

Conversational AI is everywhere, especially in customer support. Temporal helps you build reliable workflows for transcription, sentiment analysis, and insights extraction. For instance, one provider uses Temporal’s Python SDK and workflows written in several programming languages to automate thousands of call transcriptions daily, increasing both speed and accuracy while minimizing downtime.

3. Synthetic Data Generation and Processing#

Need high-quality data while keeping privacy in check? Temporal orchestrates synthetic data generation, anonymization, and processing, making it easier to build reliable datasets. Get the throughput you need, with the accuracy you can rely on, by adding Temporal to complex processes.

4. AI Platform for Predictive Analytics and Customer Insights#

Temporal supports AI platforms that deliver predictive insights by orchestrating data collection, model training, and prediction workflows. One example is a company using Temporal to analyze billions of data signals, helping teams predict customer trends and target their next best opportunities with confidence.

5. Market Intelligence and Cryptocurrency Data Enrichment#

AI-driven market intelligence platforms like Messari transform vast data streams into actionable insights for users. Temporal’s reliable data ingestion and enrichment workflows ensure smooth, scalable processes that handle large data volumes with ease.

6. AI-Powered HR Workflows#

One HR platform uses Temporal to power AI-driven workflows for onboarding, benefits management, and leave processing. Temporal coordinates approvals, validations, and employee notifications, streamlining the HR experience and giving employees the support they need when they need it.

7. AI Infrastructure and Resource Optimization#

For platforms that manage AI resources like GPUs, Temporal orchestrates everything from setup to monitoring and teardown. It maximizes resource utilization, helps control costs, and keeps the infrastructure in great shape—perfect for teams that need efficient, scalable resources for high-performance AI.

8. State Tracking in Generative AI Workflows#

Temporal’s durability and state management make it a natural fit for tracking conversation states and managing session timeouts. You benefit from smoother user interactions in generative AI applications—even with complex queries—while keeping latency low.

9. Research and Applied AI Workflow Orchestration#

Temporal supports teams working on AI research and applied production. Research teams benefit from Temporal’s cloud-based approach, which allows them to quickly iterate and scale up their experiments. Applied AI teams love Temporal’s reliability, which enables them to deploy their models to production with confidence.

One team is even exploring it for workflows like image uploads and safety scans. Temporal’s payload encoding and durable execution help ensure that sensitive content meets compliance standards every time.

Benefits of Temporal for Generative AI#

Reliable Performance: Run your workflows smoothly with built-in retries, rollbacks, and flexible error handling. Cost Savings: Reduce LLM processing costs by ensuring only essential data gets processed. Faster Development: Build, deploy, and innovate faster with Temporal’s easy workflow orchestration.

Why Temporal?#

Streamline your operations from start to finish with Temporal, the go-to solution for orchestrating complex, stateful workflows that need to run reliably in generative AI applications. With features like automated state management, high resilience, and scalability, Temporal equips teams to manage every stage of their AI processes smoothly and efficiently.

Temporal addresses common challenges in generative AI, including:

Sync/Async Process Handling: Temporal coordinates synchronous and asynchronous tasks efficiently, reducing latency. State Tracking: Ideal for applications where tracking state is critical, such as chatbots or conversational AI. Scalability: Built to scale flexibly, Temporal is suited for high-demand AI applications.

With Temporal, your teams can launch AI-driven products that are efficient, reliable, and ready to grow with your vision and strategic plans.

Are you working on an agentic workflow, an AI app, or another Temporal-powered AI solution? We’d love to hear about it! Feel free to email me directly at clair.byrd(at)temporal.io.