The promise of Restate is that it is so fast and lightweight that it will allow developers to use it where traditional workflow systems would’ve been too slow and resource-intensive.
The open-source platform Temporal, for example, offers a somewhat similar feature set, though the Restate team would likely argue that its system is faster and more lightweight.
Virtually every modern application today consists of chains of workflows that are handled by a distributed set of services that have to reliably talk to each other.
He believes this will make the service usable in situations where you’d not classically use a workflow engine — think e-commerce shopping carts, for example.
“[Restate] does the classical workflows code things, just on an extremely lightweight foundation — and it goes a little further than just standard workflow use cases.
A few years later, Levie’s original idea was becoming commoditized, and he switched gears to enterprise content management in the cloud.
Traditional enterprise content management, whether on prem or in the cloud, has involved storing, managing, securing and governing unstructured content.
Today, the industry is changing once more, and Box is again working to position itself on the forefront of that shift.
Levie has always had a knack for seeing where the puck is going, and his company is embracing the software shift toward AI and workflow automation.
Last year, Box bought Crooze, a small company that specializes in workflow automation and metadata management with integrations into Box, making it a logical acquisition target.
Nanonets, which primarily targets the financial services sector, says its AI platform aims to improve the efficiency of these processes and make them cost-effective.
The company’s AI platform uses machine learning architectures to analyze unstructured data from uploaded documents and extract useful information.
Nanonets is not alone in the global market for AI-based workflow automation.
Consistent revenue growth is one reason investors have been investing in AI startups despite the slowdown in global markets.
AI startups in the U.S. receive the most investments, followed by companies in China, U.K., Israel and India.
Want to weave various Stability AI-generated video clips into a movie?
Morph Studio, which has its own text-to-video model, just introduced an AI filmmaking platform.
Undergirding the creation process is Morph’s partnership with Stability AI, though eventually, Morph plans to introduce an array of generative video models for users to choose from.
AI has introduced a new workflow to film production,” Morph’s co-founder Xu Huaizhe said in an interview with TechCrunch.
Meme generatingXu’s commitment to creating a community around videos was evident in Morph’s inaugural product endeavor: a place for sharing AI-generated memes.
As Inngest founders Tony Holdstock-Brown (CEO) and Dan Farrelly (CTO) told me, the team added new flow control features, for example, which now make it easier to manage concurrency down to the user level.
Inngest will handle the queues and database state for these functions and the developers don’t have to do anything special to make that work.
Combining that with the new flow control features, Inngest argues, is unlocking a lot of new capabilities for users.
“The durability and the reliability, which we have, combined with the flow control aspect allows you to build into this reliability layer.
The Inngest team also expanded its language support from only offering a TypeScript SDK to also offering Python and Go SDKs — and users can migrate between them as needed without having to shut down their functions.
