Our customers deliver reliable products
for their customers
From startups to public companies, our customers chose Inngest to power their products.
Streamlining dynamic video generation
Building scalable video pipelines with Inngest.
Securing the Internet: How Outtake's AI Agents Dismantle Cyber Attacks at Scale with Inngest
Outtake's approach demonstrates that effective AI agents require a robust architecture to handle large datasets, manage rate limits, and ensure reliability
How BÆRSkin Tactical Supply Co. achieved 100% event deliverability by switching from Kafka to Inngest
"We were losing roughly 6% of events going through Kafka. Now that we switched to Inngest, we're super confident that everything is working!."
Scaling a developer email platform with serverless workflows
"The DX and visibility with Inngest is really incredible."
How cubic reduced false positives by 51% by orchestrating their multi-agent system with Inngest
For teams looking to build and ship AI Agent systems, cubic's experience highlights the importance of selecting the right orchestration layer.
How Day AI built a CRM that can reason using Inngest
"Inngest is like the nervous system of Day AI, it makes things reliable by default so we can focus on building."
How Windmill's AI Agent helps manage thousands of employees using Inngest
How Windmill integrates with 20+ productivity tools to power their AI Agent using Inngest.
Leveraging multi-tenant concurrency to scale AI workflows
How Otto uses flow control and orchestration to build AI Agents that are as easy as a spreadsheet.
Productionizing AI-driven sales flows using serverless LLMs
Leveraging Inngest for production-grade complex state management and LLM chaining.
Solving bi-directional data synchronization
How the GitBook team cut sync times from hours to minutes with Inngest's concurrency management.
Powering the Future of AI-Driven Content
"The ability to test complex workflows locally has been a game-changer, giving us confidence that our AI-driven processes will run smoothly in production."
Orchestrating complex financial data pipelines
50x faster and 50x cheaper. How Fey leverages Inngest in data-intensive processes.
Shipping e-commerce import pipelines in record time
"We were able to simplify our development process, speed up our time to market, and deliver a better customer experience."
Building a mission-critical workflow engine on top of Inngest
Saved months of development time and effort building on Inngest's primitives.
“The DX and visibility with Inngest is really incredible. We able to develop functions locally easier and faster that with our previous queue. Also, Inngest's tools give us the visibility to debug issues much quicker than before.”
“I wanted to find a solution that would let us just write the code, not manage the infrastructure around queues, concurrency, retries, error handling, prioritization... I don't think that developers should be even configuring and managing queues themselves in 2024.”
“For anyone who is building multi-step AI agents (such as AutoGPT type systems), I highly recommend building it on top of Inngest's job queue orchestration framework, the traceability it provides out of the box is super useful, plus you get timeouts & retries for free.”
“Inngest completely transformed how we handle AI orchestration at Otto. Its intuitive developer experience, built-in multi-tenant concurrency, and flow control allowed us to scale without the complexity of other tools or the need to build custom solutions. What would have taken us a month.”
