Industries

Optimize business processes and compliance with industry-specific digital transformation solutions

Industries we serve

Pharma & Biotech

Animal Health

Cosmetics

Medical Devices

Specialty Chemicals

Nutraceuticals

Food & Beverage

Pharma & Biotech

Drug makers are some of the most regulated companies in the world. For good reason—people’s lives are at stake. However, legacy workflows for meeting these standards are complex and outdated. Pharmaceutical companies need to use AI/ML to unlock data throughout the organization to enable real-time decision making, optimize manufacturing processes, mitigate risk and improve profitability—all while meeting strict compliance requirements.

  • Track and optimize product performance
  • Optimize manufacturing operations to improve yield and reduce wrong or failed batches
  • Better manage raw materials, inventory and assets
  • Ensure compliance with regulatory bodies

Use cases

Batch Process Optimization

Leveraging AI to the batch

Relevant Factors Identification

Identify the critical variables affecting operations and the optimal conditions

Product Manufacturing Optimization

Leveraging AI to the product

Multi-Site Knowledge Generation

Leveraging AI to the Sites knowledge generation

Asset Performance Management

Leveraging AI to the assets and facilities optimization

Anomaly Detection

Prevent issues, defects, Out of Spec (OOS) and Out of Trend (OOT)

Root Cause Detection

Leveraging AI to identify complex undetected issues

Animal Health

Animal health companies are the lifeblood of today’s farmer, but manufacturing, marketing and delivering animal feed and pharmaceuticals is a complex and risky business. Companies need to constantly iterate existing products while coming up with new feed and medicines that optimize animal health and wellbeing. Then, they need to figure out how to source quality raw materials consistently and ship product to distributed farms—all under strict regulation and guidelines. AI/ML puts intelligence behind these business decisions and risk assessment while streamlining operations and meeting compliance.

  • Optimize manufacturing operations to improve yield, reduce wrong or failed batches, and enhance quality
  • Reduce water, wastewater and energy costs
  • Better manage raw materials, inventory and shipping to eliminate waste
  • Ensure compliance with regulatory bodies

Use cases

Batch Process Optimization

Leveraging AI to the batch

Relevant Factors Identification

Identify the critical variables affecting operations and the optimal conditions

Product Manufacturing Optimization

Leveraging AI to the product

Multi-Site Knowledge Generation

Leveraging AI to the Sites knowledge generation

Asset Performance Management

Leveraging AI to the assets and facilities optimization

Anomaly Detection

Prevent issues, defects, Out of Spec (OOS) and Out of Trend (OOT)

Root Cause Detection

Leveraging AI to identify complex undetected issues

Cosmetics

Beauty and wellness is a highly-competitive, highly-regulated industry with razor-thin margins. At the same time, customer expectations continue to skyrocket with new product lines and innovations in demand more than ever. Cosmetics brands can achieve operational visibility into their processes, supply chain and inventory with AI/ML solution so they can better optimize operations.

  • Accelerate time to market
  • Improve and standardize quality processes and equipment maintenance
  • Mitigate product claim risk
  • Ensure compliance with regulatory bodies

Use cases

Batch Process Optimization

Leveraging AI to the batch

Relevant Factors Identification

Identify the critical variables affecting operations and the optimal conditions

Product Manufacturing Optimization

Leveraging AI to the product

Multi-Site Knowledge Generation

Leveraging AI to the Sites knowledge generation

Asset Performance Management

Leveraging AI to the assets and facilities optimization

Anomaly Detection

Prevent issues, defects, Out of Spec (OOS) and Out of Trend (OOT)

Root Cause Detection

Leveraging AI to identify complex undetected issues

Medical Devices

Medical device manufacturers need to work closely with health care providers to improve health outcomes, enhance the patient experience and reduce health care costs. This requires constant collection of real-time data from devices in the field, and manufacturers need a way to collect, manage and analyze the data while ensuring they are staying in compliance with complex industry and government regulations. AI/ML can help manufacturers streamline operations and enable innovative new business models at scale—while protecting patient privacy and meeting regulations.

  • Empower predictive maintenance
  • Enable pay-by-use service models and traceability
  • Optimize device performance and accuracy
  • Increase device uptime and business continuity

Use cases

Batch Process Optimization

Leveraging AI to the batch

Relevant Factors Identification

Identify the critical variables affecting operations and the optimal conditions

Product Manufacturing Optimization

Leveraging AI to the product

Multi-Site Knowledge Generation

Leveraging AI to the Sites knowledge generation

Asset Performance Management

Leveraging AI to the assets and facilities optimization

Anomaly Detection

Prevent issues, defects, Out of Spec (OOS) and Out of Trend (OOT)

Root Cause Detection

Leveraging AI to identify complex undetected issues

Specialty Chemicals

Innovation and opportunity define the chemical manufacturing industry—requiring companies to embrace lean, agile business models. Visibility and transparency through AI/ML can help companies turn raw data into actionable information. Informing decision makers in real time allows companies to respond to opportunities and customers faster—a major differentiator in a competitive and volatile environment.

  • Optimize manufacturing operations to improve yield and reduce wrong and failed batches
  • Streamline supply chains with real-time visibility and insights
  • Uncover opportunities with minimal risk while remaining in compliance
  • Eliminate equipment error and emission events

Use cases

Batch Process Optimization

Leveraging AI to the batch

Relevant Factors Identification

Identify the critical variables affecting operations and the optimal conditions

Product Manufacturing Optimization

Leveraging AI to the product

Multi-Site Knowledge Generation

Leveraging AI to the Sites knowledge generation

Asset Performance Management

Leveraging AI to the assets and facilities optimization

Anomaly Detection

Prevent issues, defects, Out of Spec (OOS) and Out of Trend (OOT)

Root Cause Detection

Leveraging AI to identify complex undetected issues

Nutraceuticals

The market appeal of nutraceuticals is on the rise--whether it’s a boost to the immune system or more energy in the afternoon—and consumers are willing to pay for it. However, meeting rising consumer expectations requires constant product iteration, testing and innovation—all dependent on tight control of manufacturing conditions and variables for quality control. Nutraceutical companies must face these challenges while confronting razor-thin margins and a growing and complex compliance landscape. AI/ML can optimize operations through visibility and transparency into manufacturing, compliance and marketing workflows—increasing margins and enabling intelligent growth.

  • Optimize manufacturing operations to improve yield, reduce wrong and failed batches, and enhance quality
  • Reduce water, wastewater and energy costs
  • Better manage raw materials, inventory and shipping to eliminate waste
  • Ensure compliance with decentralized regulations

Use cases

Batch Process Optimization

Leveraging AI to the batch

Relevant Factors Identification

Identify the critical variables affecting operations and the optimal conditions

Product Manufacturing Optimization

Leveraging AI to the product

Multi-Site Knowledge Generation

Leveraging AI to the Sites knowledge generation

Asset Performance Management

Leveraging AI to the assets and facilities optimization

Anomaly Detection

Prevent issues, defects, Out of Spec (OOS) and Out of Trend (OOT)

Root Cause Detection

Leveraging AI to identify complex undetected issues

Food & Beverage

Consumer expectations are rising. It’s not enough to provide a delicious and nutritious product. Brands need to deliver an experience. This requires constant product iteration, testing and innovation—all dependent on tight control of manufacturing conditions and variables for quality control and FDA regulations. Food and beverage brands must do this while facing razor-thin margins and a shortage of skilled labor. AI/ML puts intelligence behind business decisions while streamlining operations and meeting compliance.

  • Track, benchmark, and optimize product performance
  • Optimize manufacturing operations to improve yield, reduce wrong and failed batches, and enhance quality
  • Reduce water, wastewater and energy costs
  • Better manage raw materials, inventory and shipping to eliminate waste

Use cases

Batch Process Optimization

Leveraging AI to the batch

Relevant Factors Identification

Identify the critical variables affecting operations and the optimal conditions

Product Manufacturing Optimization

Leveraging AI to the product

Multi-Site Knowledge Generation

Leveraging AI to the Sites knowledge generation

Asset Performance Management

Leveraging AI to the assets and facilities optimization

Anomaly Detection

Prevent issues, defects, Out of Spec (OOS) and Out of Trend (OOT)

Root Cause Detection

Leveraging AI to identify complex undetected issues