Data Science Artificial Intelligence solutions with business focus

Computer vision or natural language understanding – due to Standupcode's cutting-edge solutions, our customers navigate safely and efficiently through even the most complex systems and environments, yielding maximum business value. Don't settle for less.

Unlock your potential!

Use your data to create real impact and business value

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Insights & Learning

Analyze customer behavior, gain insights into existing data, visualize, learn and optimize your business models.

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Boost Efficiency

Reduce errors and manual tasks, automate processes, detect fraud and avoid discontented customers.

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Drive Revenue

Use data for segmentation, personalized content, automated marketing and targeted campaigns.

Cross-domain expertise

Let data boost your business

Life Science & Healthcare
Finance & Insurance
Automotive
Client Domain Knowledge
Standupcode Vertical Specialists
Standupcode Data Science & AI Methods
NLP Based Research
ADAS/AD Computer Vision
Predictive Risk Management

Predict risks before they appear. Find customer problems before the customer finds them. Support decisions through visualized data. The use of data, particularly in combination with machine learning, unleashes tremendous potential for business. We combine your industry knowledge with our AI expertise to build tailored solutions that boost your business.

Use cases: How can we boost your business?

Drug discovery

AI-based choices in the complex multi-KPI context of clinical studies: Standupcode's life science and healthcare customers identify the most promising molecular candidates for therapeutic compounds. We save years and millions.

Real-time asset valuation

Live decision making in pricing and scoring, trading and portfolio optimization in local and global markets: From real estate to cars, to movable goods and stock, we ensure the best deals thanks to the best data.

Ideas-2-Solutions:
Standupcode Data Science & AI Ladder

Pre-Phase

Situation Analysis

  • Determination of motivation & wishes
  • Completion of questionnaire
Directional Map
Data Value Workshop

Topic Definition & Technological Overview

  • Definition of goals
  • Recording of the existing situation
  • Exchange: industry-specific features, corresponding approaches, big data, analytics & loT
  • Data profile: Type, volume, security, aspects
  • Consulting: Platform, architecture, infrastructure, strategy
Data Map & Strategy
Prototyping

Feasibility & Added Value Demo

  • In-depth understanding of business cases
  • Clarification of environmental conditions
  • Selection of methodology, models and tools
  • Creation of minimal end-to-end pipeline
  • Visualization of the identified added value
End-to-end Pipeline & Visualization
Implementation

Solution Implementation & Optimization

  • Functionalities & Features
  • Reliability
  • Performance: architecture layout, hardware, scaling
  • Data completion
  • Maintainability
  • Accuracy
  • Data processing
  • Parameterization
  • Visualization & dashboarding
Extraction & Abstraction of Insights, max. Methodical Value Added
Rollot & Operation

Long-term Operation & Support

  • Deployment on final infra & devices
  • Future Stories & Features
  • Monitoring
  • Adaption to current trends (data quality & volume) & technological progress
  • Role coordination
  • Interface management
  • Maintenance and updates
  • Knowledge management
Max. Operative Value Added

Our offers & services

Get started with the Standupcode Academy. Gain deep knowledge with our Data Science & AI services. See detailed info in the slider below.

Data Science & AI Services

  • Consulting: Your value plan
  • Implementation: End-to-end solutions
  • Supply: Technology fitting you
  • Analytics: Insights on demand

Standupcode Academy

  • Trainings: Docker & Kubernetes Training
  • Workshops: Data Value Workshop
  • Introductions: Natural Language Understanding
  • Labs: Python Hands-On Lab

Customer Feedback

The following reviews were collected on our website.

4 stars based on 100 reviews
Outstanding Data Science Solutions
Their data science solutions have significantly improved our decision-making process. Highly recommended!
Reviewed by Mr. Robert Lewis (Chief Data Officer)
Exceptional AI Integration
Integrating AI into our operations was seamless and has boosted our efficiency remarkably.
Reviewed by Mr. Alan Thompson (Operations Manager)
Top-Notch Data Analysis
The data analysis services provided were insightful and actionable. Great experience overall.
Reviewed by Miss Laura Green (Data Analyst)
Innovative AI Applications
Their innovative AI applications have transformed our business operations, leading to better outcomes.
Reviewed by Mr. Daniel Reed (Business Development Manager)
Professional and Knowledgeable
The team is professional and highly knowledgeable in data science and AI. Excellent service!
Reviewed by Mr. Michael Adams (IT Director)
Reliable Data Insights
Reliable data insights that have helped us navigate through complex business challenges.
Reviewed by Mr. Peter Zhou (Market Research Analyst)
AI-Driven Success
Their AI-driven solutions have driven our success in numerous projects. Impressive work!
Reviewed by Mr. George Wilson (Project Manager)
Highly Skilled Team
A highly skilled team that delivers on their promises in data science and AI projects.
Reviewed by Mr. Samuel Lee (Product Manager)
Excellent Support
Excellent support throughout our AI integration project. Couldn’t have asked for more.
Reviewed by Mr. Jack Martin (Customer Support Manager)
Transformative Data Solutions
Their data solutions have been transformative for our business. Highly effective!
Reviewed by Mr. Henry Stone (Chief Technology Officer)

Got Questions? Find Answers Below!

Our Most Frequently Asked Questions

Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It involves techniques from statistics, computer science, and domain expertise to analyze and interpret complex data.
AI (Artificial Intelligence) is a branch of computer science that focuses on creating systems capable of performing tasks that normally require human intelligence. Data Science provides the data and the methodologies for analyzing that data, which AI systems use to learn and make decisions.
Common applications include predictive analytics, natural language processing, image recognition, recommendation systems, and autonomous systems. AI helps in making sense of large datasets by identifying patterns and making predictions based on data.
Key skills include proficiency in programming languages like Python and R, knowledge of statistics and probability, expertise in data visualization tools, and familiarity with machine learning algorithms and techniques. Additionally, strong analytical thinking and domain knowledge are essential.