Zuva, Inc.

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Zuva, Inc. is a contract AI company.



References

2023

2023

  • GBard https://g.co/bard/share/e25a3efeec2a
    • QUOTE: Zuva is an AI contract review platform that helps businesses automate their contract review and analysis processes. Their platform uses natural language processing (NLP) to extract key information from contracts, such as obligations, liabilities, and conditions. This information can then be used to identify risks, track progress, and generate reports.
    • Zuva offers two main products:
      • Zuva DocAI: This is an API-driven platform that allows developers to embed AI contract review functionality into their own applications. This can be useful for businesses that want to integrate contract review into their existing workflows.
      • Zuva Contracts AI: This is a standalone contract review platform that is designed for businesses that need a complete solution for contract review and analysis. It includes all of the features of Zuva DocAI, as well as a user-friendly interface and a variety of reporting tools.
    • Zuva's contract AI platform has a number of features that make it a powerful tool for businesses of all sizes. These features include:
      • Automated clause identification: Zuva can automatically identify and extract key clauses from contracts, such as confidentiality agreements, termination clauses, and intellectual property clauses. This saves businesses time and effort, and it helps to ensure that important clauses are not overlooked.
      • Contract risk assessment: Zuva can identify potential risks in contracts, such as financial risks, legal risks, and reputational risks. This information can be used to inform business decisions and to mitigate risks.
      • Customizable AI models: Zuva's AI models can be customized to meet the specific needs of individual businesses. This allows businesses to tailor the platform to their own unique contract types and workflows.
      • Integration with existing systems: Zuva's platform can be integrated with existing contract management systems (CMS) and enterprise resource planning (ERP) systems. This allows businesses to access contract data from within their existing workflows.
      • Scalable platform: Zuva's platform is scalable to meet the needs of businesses of all sizes. This means that businesses can grow with the platform as their needs change.

2022

  • https://www.golangprojects.com/golang-go-job-eyt-Remote-Senior-Software-Engineer-GoLang-Zuva-Inc-remotework.html
    • QUOTE: We’re Zuva. We’ve built machine learning software that helps businesses make better decisions by understanding the details of their documents. We’re accelerating this opportunity by making our machine learning available to developers and software vendors, helping them build new and better solutions for their customers.

      Zuva is a unique early-stage company. We’ve been building, refining and selling our technology for 10+ years, and now as a newly formed spin-out company, venturing into the business document intelligence space.

      Our team is primarily based in Toronto, with plans to become a global workforce. From building trusted partnerships with our clients to delivering an employee experience that is second to none, our people are at the center of all that we do.

      Zuva is hiring an experienced Full stack/Backend Developer with experience in using Go to be a key member for one of our cross-functional product teams. You'll be joining a small but nimble team of empowered developers in a supportive environment that values experimentation. We work in small and focused cross-functional teams, usually made up of a Product Manager, Designer(s), and a mix of Frontend and Backend Engineers.

    • What you will be doing:

      At Zuva you will have the opportunity to design, develop and deploy backend cloud-native services within a containerised microservices architecture. The work is cutting edge, constantly changing and focused on building and operating critical, highly available, low latency, scalable solutions. You will play an active role in introducing new technologies, applying machine learning solutions, and collaborating on technical and architectural decisions. Participate in greenfield projects and enjoy end-to-end ownership from concept to deployment, including building and operating infrastructure, toolset and deployment pipelines.

    • Here are a few of the tools and methodologies we utilize: