WhiteSpace

Scaling up the startup despite the pandemic? 
Ekohe brings exponential growth to on-demand meeting space innovator. 

Cyber Security Leader

Securing a bright future for Europe's cyber defense powerhouse.

Pulse Insights

From startup to B2B market leader at light speed, through an innovative Voice of Customer survey engine.

Because We Care

Ekohe's custom ChatGPT empowers BWC to stand tall in wellness, via an innovative, interactive, self-learning app.

Essence Wave

Empowering a chemistry industry leader with cutting-edge AI 

Host Broadcast Services

ERP Powering Broadcast & Event Infrastructure for the World's Largest Sporting Event Since 2008.

IDEO

From web registration to managed services, IDEO found a trusted partner to support its growth in China — for 8 years and counting.

Podknife 

Reimagine Podcasting: How NLP fostered an open, holistic ecosystem for audiences, brands and creators.


Fitnext

Helping wellness startup define, rapidly prototype, and launch an expert-driven, deeply personalized diet & exercise app.

International Cosmetics Leader

Centralizing data insights to optimize efficiency, boost sales, and enable market scale for international cosmetics leader.

Building the world's largest centralized development platform: 15,000+ innovations, $1.5+ billion funded.

Building and optimizing models tailored to specific business needs, enabling data-driven decision-making

Machine Learning Model Development

Leveraging advanced neural architectures to process complex patterns and large datasets with high accuracy

Deep Learning & Neural Networks

Predicting future trends and behaviors using historical data to drive strategic insights

Time Series Analysis & Forecasting

Developing autonomous AI systems that can plan, adapt, and make decisions independently

AI Agents & Automation

Helping businesses survive and thrive in the AI automation era by reimagining your business operations and workforce strategy

AI Transformation Strategy

Ingesting and consolidating data from APIs, CSVs, and FTP servers into data warehouses, preparing datasets for machine learning and advanced analytics

Data Engineering & Advanced Pipelines

Ensuring data quality, security, and compliance through structured policies and best practices.

Data Management & Governance

Turning raw data into actionable insights to drive informed decision-making and strategy.

Business Analytics & Intelligence

Using historical data and machine learning to anticipate trends and future outcomes.

Predictive Analytics & Forecasting

Designing and deploying scalable cloud solutions across leading cloud providers

AWS, Google Cloud, OVHCloud & Aliyun infrastructure deployments

Shaping product vision and strategy through user-centric innovation

Product strategy, Design Thinking & Innovation

Creating cross-platform mobile applications with a single codebase for both iOS and Android

React Native Development

Designing and implementing software solutions that connect and manage Internet of Things (IoT) devices and ecosystems.

IoT Platforms Development

Testing new ideas and technologies in controlled environments to validate feasibility and impact.

Pilot Programs

Building tailored software solutions for established businesses to streamline operations and solve complex organizational challenges

Custom Enterprise Software Development

Streamlining workflows by automating repetitive tasks to improve productivity and reduce errors

Process Automation

Carmakers and suppliers are increasingly leveraging AI-enabled control towers to enhance supply chain transparency and efficiency, as discussed at the ALSC Global conference in Michigan. Control towers centralize vast amounts of data, providing end-to-end visibility that facilitates swift decision-making on parts and materials logistics. By integrating generative and agentic AI, companies can automate complex processes, such as analyzing cross-border tariff impacts.

A prime example is Accuride, which utilizes its control tower to monitor ocean freight shipments from origin to customer destination. This visibility not only aids in delivering accurate dates but also helps management understand shipment costs at each stage. The company has also automated its freight audit and payment system using AI, ensuring it pays agreed rates.

ITS Logistics emphasizes the importance of aggregating data from multiple systems, enabling effective support for customers through trend analysis and innovative solutions. Similarly, CH Robinson’s Navisphere tool uses AI and automation to enhance international shipping efficiency.

Ford highlights the shift from a data-driven to a digital twin-driven approach, optimizing supply chain processes through AI agents that model production impacts, thus minimizing negative effects on profitability. Furthermore, the use of large language models at CH Robinson is set to streamline customer inquiries significantly.

Amid these advancements, cybersecurity remains a priority; organizations must safeguard proprietary data while integrating AI into operations. Demonstrations at the conference showcased AI’s potential to simplify logistics problem-solving, enabling real-time queries and identification of bottlenecks. As automotive supply chains face complexities like fluctuating tariffs, AI technology stands poised to drive significant improvements in efficiency and responsiveness.

Enhancing supply chain efficiency with AI-enabled control towers - Automotive Logistics

**Using AI to enhance production quality, automate processes, and improve operational efficiency**

_Manual processes, siloed systems, and unpredictable demand make it hard to scale efficiently_
Manufacturers face pressure to increase productivity, reduce waste, and respond faster to market changes—all while keeping operations stable

We support this transformation by combining **AI, data automation, and system integration** to s**treamline workflows, optimize resources, and drive real-time decisions** on the factory floor and beyond


The global AI in manufacturing market is set to grow from $23.4B in 2024 to over $155B by 2030, a 35.3% CAGR fueled by smart automation, predictive maintenance, and quality control

AI in Manufacturing Market

By 2035, AI is expected to boost manufacturing productivity by 40% through defect reduction, process optimization, and smarter resource allocation

Productivity Gains with AI

Automation with AI is delivering 20–30% lower operational costs and 40%+ efficiency improvements, with hyperautomation becoming a top priority for manufacturers

AI-Drive Efficiency Shifts

Future Trends

Manufacturing

Using AI to enhance production quality, automate processes, and improve operational efficiency

We can detect anomalies in machine data, predict potential failures, and reduce unplanned downtime—improving equipment lifespan and availability

Predictive Maintenance for Equipment

We provide models that analyze production data to identify quality issues early—reducing defects and minimizing rework

Quality Control with AI

We can build intelligent agents that automate repetitive tasks in planning, logistics, and inventory—improving speed and accuracy

AI-Driven Workflow Automation

We offer dashboards that track KPIs across lines, facilities, or geographies—enabling fast, data-informed decisions

Real-Time Production Monitoring Dashboards

We know how to build forecasting tools that improve supply chain responsiveness and reduce overstock or shortages

Smart Demand Forecasting & Inventory Planning

We help launch smart factory solutions—such as monitoring platforms or mobile tools for field operations—designed for fast iteration and integration

Manufacturing

Future Trends

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AI in Manufacturing Market

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Productivity Gains with AI

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AI-Drive Efficiency Shifts

Our use cases

AI-Curated Insights