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Agentic AI Platform for Intelligent IT Automation built by MSPs for MSPs. Revolutionize your operations with advanced AI agents. | ngram is an agentic AI video creation platform designed to turn raw inputs (documents, PDFs, URLs, prompts, screen recordings, or rough ideas) into polished, on-brand, professional videos in minutes. Unlike basic video editors or screen recorders, ngram plans before it renders: it researches context, builds a storyboard, writes scripts, generates voiceovers, edits footage, and applies motion graphics, while keeping the user fully in control. It is built specifically for product teams, marketers, founders, and content creators who need high-quality videos repeatedly without a dedicated video production team. |
Connectwise, Autotask | re Value Proposition From idea to publish-ready video in under 5 minutes Storyboard-first workflow (control before generation) Context-aware AI (audience, goal, platform, tone) On-brand consistency across teams Multi-format output from a single project |
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Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.

It makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want.

It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.

Developer framework to orchestrate multiple services and APIs into your software application using logic triggered by events and time. Build ETL processes, A/B testing, real-time alerts and personalized user experiences with custom logic.

Zencoder downloads the video and converts it to as many formats as you need. Every output is encoded concurrently, with virtually no waiting—whether you do one or one hundred. Zencoder then uploads the resulting videos to a server, CDN, an S3 bucket, or wherever you dictate in your API call.

It is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Build and map powerful workflows across tools to save your team time. No coding required. Create rules to define what information flows between each of your tools, in minutes.

It is a WebRTC media server and a set of client APIs making simple the development of advanced video applications for WWW and smartphone platforms. Media Server features include group communications, transcoding and more.

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It is a library for constructing graphs of media-handling components. The applications it supports range from simple Ogg/Vorbis playback, audio/video streaming to complex audio (mixing) and video (non-linear editing) processing.