Google Cloud Speech-to-Text
An API driven by Google's AI capabilities enables precise transformation of spoken language into written text. This technology enhances your content with accurate captions, improves the user experience through voice-activated features, and provides valuable analysis of customer interactions that can lead to better service. Utilizing cutting-edge algorithms from Google's deep learning neural networks, this automatic speech recognition (ASR) system stands out as one of the most sophisticated available. The Speech-to-Text service supports a variety of applications, allowing for the creation, management, and customization of tailored resources. You have the flexibility to implement speech recognition solutions wherever needed, whether in the cloud via the API or on-premises with Speech-to-Text O-Prem. Additionally, it offers the ability to customize the recognition process to accommodate industry-specific jargon or uncommon vocabulary. The system also automates the conversion of spoken figures into addresses, years, and currencies. With an intuitive user interface, experimenting with your speech audio becomes a seamless process, opening up new possibilities for innovation and efficiency. This robust tool invites users to explore its capabilities and integrate them into their projects with ease.
Learn more
OpenMetal
If your cloud bill has become harder to predict than your revenue, OpenMetal is worth a look.
We provide hosted private cloud and dedicated bare metal infrastructure as a service. Our private cloud is built on OpenStack and Ceph, with fully managed hardware, and priced on a flat-rate model that doesn't punish you for growth. No per-resource metering, no egress surprises, no bill that requires a spreadsheet to decode.
Our private cloud platform gives organizations dedicated hardware and full OpenStack access without the overhead of building or maintaining their own infrastructure. Deploy a private cloud in under an hour, integrate with your existing tools, and hand the operational burden to us.
For teams that need raw compute power without virtualization overhead, our bare metal servers offer dedicated hardware with the same transparent pricing and fast deployment. Run standalone or connect directly to an OpenMetal private cloud for a flexible hybrid setup.
OpenMetal is a practical choice for organizations running compute-intensive or latency-sensitive workloads including blockchain validators, AI and machine learning pipelines, high-frequency applications, and regulated industries where data residency and compliance requirements rule out shared public cloud environments.
If you're managing infrastructure costs at scale, moving workloads off a hyperscaler, or simply need dedicated hardware that performs consistently, OpenMetal gives you a straightforward path to get there without building everything yourself.
Learn more
Oz Liveness
Oz Liveness stands at the forefront of facial recognition and authentication technology, utilized by both private and public sectors globally to mitigate the threat of biometric fraud. By effectively countering deepfake and spoofing attempts, it safeguards identities with precision.
The software employs sophisticated algorithms engineered to identify various types of biometric spoofing, including 3D and 2D masks, as well as images and videos played on devices such as iPads and laptops.
Endorsed by the rigorous ISO30107 certification, our technology assures organizations that they can authenticate a genuine individual within moments. This accreditation not only enhances security but also significantly reduces compliance and fraud risks for users. Furthermore, the continued evolution of our capabilities ensures that we stay ahead of emerging threats in the biometric landscape.
Learn more
CullAi
CullAi is a cutting-edge application created to aid professional photographers in choosing the most outstanding images from their shoots by focusing on individuals who frequently appear, while also allowing users to prioritize specific subjects if desired. For example, during a wedding event, the tool automatically identifies the bride and groom as more prominent figures compared to other guests who may appear multiple times, thus facilitating a more customized selection process. Each image is assigned an AI-generated score that assesses the quality and clarity of faces based on various criteria, including lighting conditions and whether the subjects' eyes are open. The fundamental scoring mechanism utilizes a linear mapping, providing a reliable starting point, yet photographers have the ability to adjust the scoring thresholds to better match their personal preferences and artistic standards. If discrepancies arise between the automated scores and your own judgments, it may be beneficial to tweak these thresholds for a more harmonious fit with your creative vision. This adaptability ensures that CullAi can cater to the distinct requirements of every photoshoot, ultimately enhancing the overall photographic experience. By allowing for such customization, photographers can achieve results that resonate more closely with their unique style.
Learn more