Hammer of the Gods launches low-code for Secure Edge Computing
Hammer Forge nails the trifecta: Making managing enterprise-level edge computing simple, fast, and secure at scale.
The day has finally arrived!
Our team has been working on this for many months now (seems like forever!), building with our early adopters, community, and key enterprise customers. Thank you so much for supporting us and taking us this far!
We are happy to announce the launch of Hammer Forge Studio - our SaaS low-code deployment and orchestration platform for edge computing. This first launch is geared towards the mobile phone, web, mobile-web, and desktop markets.
Take it for a spin - there is a free tier, and no credit card required. You can read more about our pricing here.
We also announced a press release and are sharing that verbatim here below for your perusal.
Press Release, Feb 8th, 2020
Palo Alto, Calif. - Feb 8, 2022 - Hammer Of The Gods (HOT-G) launched Hammer Forge, the low-code deployment and orchestration platform for secure edge computing and embedded machine learning. While there has been an acceleration of cloud developer tools for Machine Learning (ML) and MLOps, Hammer Forge is at the forefront what is only just beginning as the next technology super growth phase: managing ML for billions of edge devices (e.g. phones, mobile browsers, Coral.ai, Jetson Nano, Raspberry Pi, IoT devices, and sensors).
Analysts estimate¹ that the edge computing market has a CAGR of more than 19% and is expected to be $87.3 billion USD by 2026. The fragmentation in this market means that engineering teams have to support many types of devices and ML frameworks. HOT-G is making the developer experience (DX) consistent from building all the way to managing production deployments while taking security, monitoring, and observability into account upfront.
For the past year, the HOT-G team has been focused on the closed beta of their developer experience tools and have been working with the community of open source devs, students at several prominent hackathons, and early adopters in the areas of:
securing edge deployments
reliable builds for the edge devices
and MLOps for the edge devices
We are at an inflection point where enterprises with sufficient data are now building machine learning models making them their IP. The data will be kept private on their environments, but distributing and safeguarding their IP (models) is still a hard problem. In this regard, Hammer Forge also serves as a licensible cloud native SecOps platform for enterprises to secure, protect, and deploy their IP on devices.
“The developer experience to deploy models on the Edge requires you to know several different frameworks from React-Native, Obj-C/Gradle, C++, Tensorflow, Python and more. With Hammer Forge, we are making EdgeML development accessible to more developers with a No-Code environment.”- Co-Founder and CTO, Kartik Thakore.
Hammer Forge is based on HOT-G’s open source framework called Rune, that runs on the edge devices.
“Demand to move to the edge is surging from the need to address privacy, security, latency, and growth of capable hardware, but we are still at the very beginning of this Big Bang stage. HOT-G is looking ahead by solving problems we will run into managing secure production edge computing workloads while still making the developer experience simple and awesome.” - Co-Founder and CEO, Akshay Sharma.
About Hammer of the Gods (HOT-G)
Based out of Palo Alto, CA, HOT-G, is building the distributed infrastructure and developer experience tools paving the way for secure production-ready edge computing deployments. The founding team previously built several companies, including most recently doc.ai, a Palo Alto-based healthcare AI company which was acquired by Sharecare Inc. in 2021. The team previously developed federated learning, privacy preserving technologies, and zero-trust security infrastructure for healthcare.
The company has raised money from Quiet Capital, Amino Capital, S2 Capital, and other prominent Silicon Valley angel investors.
Visit hotg.ai and contact akshay@hotg.ai for more information.
[1] The edge computing market size is expected to grow from USD