Grape Up
uses cookies


This website uses cookies to improve its user experience and provide personalized content for you. We use cookies for web analytics and advertising.


You can accept these cookies by clicking "OK" or go to Details in order to manage your cookies preferences more precisely. To learn more, check out our Privacy and Cookies Policy


OK
Details

1.



Essential website cookies are necessary to provide you with services available through the website, autosave your settings and preferences, and to enhance the performance and security of the website - you have the right not to accept them through you web browser's settings, but your access to some functionality and areas of our website may be restricted.


2.



Analytics cookies: (our own and third-party : Google, HotJar) – you can accept these cookies below:


I don't accept
I accept

3.



Marketing cookies (third-party cookies: Hubspot, Facebook, LinkedIn) – you can accept these cookies below:


I don't accept
I accept

OK
Grape Up
  • Why Grape Up?
  • Solutions
    • Automotive
    • Insurance
    • Finance
    • Telco
    • Retail
  • Services
    • Platform Enablement
    • Platform Ops&Support
    • Engineer Enablement
    • Application Transformation
    • Application Development
    • Hero
    • Data Science
    • MLOps
    • Cloudboostr
    • Why Cloudboostr?
    • Support & Services
    • Pricing
  • Company
  • Insights
    • Blog
    • Webinars
  • Careers
    • Meet us and feel at home
  • get in touch
  • Search
  • Why Grape Up?
  • Solutions
    • Industry
      • Automotive
        • Connected Car
        • Shared Mobility
        • Automotive Cloud
        • Big Data
        • AI & Advanced Analytics
      • Insurance
        • Telematics Platforms
        • Advanced Analytics
        • Data-driven process automation
    • Solution
      • VIN Recognition
      • Vehicle Inspection API
    • Product
      • Cloudboostr
    • Case Studies
  • Services
    • AI & Advanced Analytics
      • Enterprise Analytics Consulting
      • AI Consulting & Implementation
      • AI & Data Infrastructure Engineering
    • Cloud Services
      • Platform Enablement
      • Platform Ops&Support
      • Engineer Enablement
      • Application Transformation
      • Application Development
    • AWS
    • Azure
    • Kubernetes
  • Company
  • Insights
    • Blog
    • Webinars
  • Careers
    • Meet us and feel at home

get in touch
AI & Advanced Analytics — Enterprise Analytics Consulting AI Consulting & Implementation AI & Data Infrastructure Engineering

Automotive
Industry


Empowering automotive enterprises to build Software-Defined Vehicles


Insurance
Industry


Enabling data-driven innovations in the insurance industry



Cloudboostr

Success stories


Get to know how
Grape Up empowers
enterprises
to transform their
businesses


read stories

AI & Advanced Analytics


Enterprise Analytics Consulting


AI Consulting & Implementation


AI & Data Infrastructure Engineering



Cloud Services


Platform Enablement


Platform Ops&Support


Engineer Enablement


Application Transformation


Application Development


Careers


Level up your
career with us!
Explore job
opportunities!



Meet us


Get to know us better
from the inside



Insights


Get hands-on knowledge about cloud-native technologies, DevOps & AI



Blog


Discover our blog to read what's new in the industry



Webinars


Learn new tools and approaches with the community of tech enthusiasts

What are you looking for?


Enter your search term



search

Building enterprise AI
environments for creating and
running AI-driven applications
at scale



Advising on best practices and architectures for developing artificial intelligence at enterprise scale


Providing consulting, installation, configuration, and support services for enterprise AI, data science, and machine learning platforms


Building custom end-to-end machine learning stacks supporting all stages of the machine learning workflow from data ingestion and model training to production deployment

Analytics Infrastructure Engineering Services



Enterprise AI infrastructure consulting


Providing architecture and technology recommendations for implementing the desired enterprise AI capabilities into your IT environment. Advising business leaders and data scientists on building ecosystems required to accelerate the development and productionizing of machine learning models and AI applications.



Data platform architecture design


Ensuring an efficient flow of data is a critical component of a successful AI solution. Provide guidance on how to build a complete, efficient, secure, and flexible architecture for data collection, preparing data, data management, and storage. Supporting data engineers and big data experts in creating data platforms allowing for turning unstructured and structured data into insights and leveraging them to maximize business value.



Enterprise AI platform
installation and deployment


Partnering with leading enterprise AI and data science platform providers to stay at the forefront of the data analytics technology landscape. Grape Up certified consultants with expertise in Dataiku, Microsoft Azure, and AWS environments can help business leaders navigate their journey to enterprise AI and ensure end-to-end platform deployment.



Data platform engineering


Building scalable, performant, and secure data streaming platforms and data lakes based on a modern cloud technology stack. Integrating AI and machine learning platforms with data sources, existing systems, and other elements of the enterprise AI environment allowing companies to automate processes, deploy models and build AI-driven applications at a large scale.



Enterprise AI platform
operations and support


Maintaining and operating cloud-based analytics and data infrastructure. Ensuring reliability and security for mission-critical solutions, enterprise AI platform providers (including Microsoft Azure, Dataiku, AWS), open-source platforms, and making machine learning developers and data scientists work easier.



Analytics automation and
orchestration


Following MLOps practices to design and build automated pipelines and workflows that standardize and streamline the deployment of machine learning, data science, and AI-driven solutions to production. Enabling enterprise companies to focus on artificial intelligence software development and problem-solving while the deployment process is automated.

Leverage enterprise AI and cloud technology to fully benefit from advanced analytics


Enterprise companies willing to deliver advanced analytics solutions at scale need solid foundations based on the combination of resilient cloud infrastructure and performant enterprise AI technologies and AI platforms.


Get insights and see use cases for successful machine learning and AI platforms development


Read about delivering enterprise AI platforms that empower data engineers, data scientists, and machine learning engineers to productionize machine learning models and AI applications.



Building a Scalable Fast Data Platform
to Expand Digital Financial Services


Grape Up developed a platform that empowers DBS to utilize data from numerous data sources. By building a scalable, efficient, and robust data system, the leading Asian bank can effectively provide its services to various markets and handle the growing demand in digital banking products.

Grape Up developed a platform that empowers DBS to utilize data from numerous data sources. By building a scalable, efficient, and robust da...


DBS



Arrow3

Developing a Global Cloud Platform Enabling Data-Driven Decision Making


Adidas Logo

see
more
case
studies

Learn how experts build platforms enabling
leveraging artificial intelligence in enterprise


Machine Learning at the Edge – Federated Learning in the Automotive Industry


Machine Learning combined with edge computing gains a lot of interest in industries leveraging AI at scale – healthcare, aut

IoT SaaS – Why Automotive Industry Should Care, and Which AWS IoT or Azure IoT is Better to Use as a Base Platform For Connected Vehicle Development


We’re connected. There’s no doubt about it. At work, at home, in town, on holidays. Our life is no longer divided into off

Need help with AI platform development?


Discuss your project with AI and machine learning subject matter experts.





Please add some short introduction to your case:




The controller of the data within the scope provided above is Grape Up Spółka z ograniczoną odpowiedzialnością with its seat in Krakow, 44 Gabrieli Zapolskiej Str, 30-126 Kraków, KRS no. 0000513816. The data will be processed in order to contact you and in case you give us your consent - to provide information about our products and services. You have the right to access the data, to receive copies, to rectify, delete or demand to limit their processing, to object to processing and to withdraw your consent for marketing contact – by sending us an e-mail: info@grapeup.com. For full information about processing of personal data please visit Privacy Policy.


Platforms, tools, and technologies enabling the development of enterprise AI and deployment of machine learning models


Learn more about a broad range of solutions empowering data science, artificial intelligence, and machine learning experts to deliver state-of-the-art, next-generation AI-powered software. See how established companies develop intelligent applications at an enterprise scale.


AI Platform Machine Learning Operationalizing AI Natural Language Processing
Data Science MLOps Artificial Intelligence Computer Vision

AI Platform


Leveraging artificial intelligence to enhance delivered software and improve business processes has become a priority for many innovative companies. Their teams ensure the proper environment to automate the way application developers create solutions and deploy models to production. Using cutting-edge AI and machine learning platforms, enterprises gain greater efficiency, reduce time and costs, and accelerate the process from ideation and testing to deployment.

Machine Learning


Machine Learning is a self-learning AI technology that develops itself autonomically by analyzing experiences, examples, and data, without a programmer's intervention or assistance. ML-enabled applications learn by observing behaviors and getting insights from provided inputs. Such apps use collected insights to make better decisions and improve operations. Machine Learning analyzes large volumes of data, using computational intelligence to accelerate the pace the knowledge is used to determine business opportunities, improve customer experience, minimize risks, or accelerate digital transformation.

Operationalizing AI


AI operationalization is a process of applying ML models to particular use cases and adopting AI experiments to reliable production models. Developing an AI-enabled application requires learning and validating phase. Such an application cannot be directly deployed to production. Every ML model needs a proper implementation phase when the solution is verified and adjusted to the environment. It's a critical process to implement AI in an enterprise and obligate both Data Science proficiency and software development expertise at scale.

Natural Language Processing


Natural language processing combines AI, computer science, and computational linguistics, allowing computers to analyze human language. Using NLP techniques, computers extract data and insights from various content (including voice calls, text messages, feedback gained by virtual assistants) and provide enterprises with precise recommendations to improve customer experience and business operations.

Data Science


Data science enables companies to gain insights and improve their business processes with data-driven decision making. To get the most out of the collected data, enterprises build the proper environment allowing for transforming raw data into predictive models and complete business information that can be used by machine learning and big data applications.

MLOps


MLOps standardizes and streamlines the lifecycle of machine learning solutions in production. MLOps combines the knowledge gathered by DevOps engineers, machine learning specialists, and data scientists to automate and accelerate the operationalization and development of AI and ML applications. MLOps practices allow companies to control the full lifecycle of the machine learning models, including the development phase with training, packaging, and validation, and the production phase with deployment, monitoring, and retraining.

Artificial Intelligence


Defined as a machine's ability to learn, understand, and solve problems similarly to humans, Artificial Intelligence is one of the driving forces of innovation. With the continuous development of AI technologies, enterprises across industries use their features to improve customer service, increase safety, accelerate business operations, and automate repetitive tasks. AI, with its capability to process large volumes of data and learn at a rapid pace, has become a crucial factor in software development.

Computer Vision


Computer vision is an AI technique that extracts data and information from visual content, enabling AI-powered tools to provide recommendations and improve decision making.

Why grape up Company Case Studies Blog Resources Careers
Solutions
Industries:
Automotive Insurance
Solutions:
VIN recognition Vehicle Inspection API
Product:
Cloudboostr

Services
AI & Advanced Analytics:
Enterprise Analytics Consulting AI Consulting & Implementation AI & Data Infrastructure Engineering

Cloud Services:
Platform Enablement Platform Ops&Support Engineer Enablement Application Transformation Application Development

Technologies:
AWS Azure Kubernetes

Contact us


get in touch

Feel free to drop us a line

info@grapeup.com


USA

+1 (408) 471 7887

EMEA

+48 530 250 478

© Copyright Grape Up, 2023

Cookies Policy - Privacy Policy

LinkedIn Facebook Twitter Instagram YouTube