Quartic - Industrial AI and Decision Intelligence Software

Who are Quartic?

Quartic.ai is a provider of industrial artificial intelligence and decision intelligence software, founded to help manufacturers transform real-time operational data into actionable insights. The company is headquartered in the United States, with additional presence in Canada and India. Its leadership team, including founder and CEO Rajiv Anand, brings deep expertise from fields such as process automation, reliability engineering, and data science.

Quartic positions itself in the industrial analytics and manufacturing technology market, focusing particularly on process industries such as pharmaceuticals, life sciences, chemicals, food and beverage, and consumer packaged goods. Its mission is to reduce production variability, improve efficiency, and enable real-time decision-making by integrating AI into core manufacturing operations.

What does Quartic’s software do?

Quartic provides a suite of applications built on its industrial AI platform. The core elements include:

• Industrial DataOps (iLuminator): This module integrates data from operational technology (OT), information technology (IT), lab systems, and quality systems, creating a unified data fabric for manufacturing enterprises.

• Industrial Intelligence (eXponence): Delivers advanced analytics and machine learning for process optimisation, predictive modelling, and reliability improvement.

• Applications for Manufacturing: Quartic’s solutions address batch analytics, process optimisation, automated process analytical technology (PAT), continuous process verification, quality monitoring, and predictive maintenance.

The Quartic platform is designed to be usable by plant subject matter experts without requiring extensive data science expertise. It operates across edge, cloud, and hybrid environments, enabling deployment flexibility and scalability across multiple facilities.

What problems does Quartic solve for the business?

Manufacturing organisations face persistent challenges that affect profitability, competitiveness, and compliance. Quartic’s technology is designed to tackle these issues in a structured way:

• Production variability and quality drift. In industries such as pharmaceuticals and food production, even small variations between batches can result in wasted material, regulatory concerns, or customer dissatisfaction. Quartic’s machine learning models analyse live production data to detect early signs of deviation, giving operators time to adjust processes before quality is compromised. This improves yield and reduces rework and scrap.

• Operational inefficiency. Traditional process optimisation often relies on manual monitoring and after-the-fact analysis. Quartic enables manufacturers to run real-time analytics on production lines, shortening cycle times, improving throughput, and making better use of resources. By embedding predictive insights into daily operations, plants can avoid unnecessary downtime, improve equipment utilisation, and reduce overall costs.

• Unplanned downtime and equipment failures. Maintenance costs and unexpected outages can have a significant financial impact. Quartic applies predictive and prescriptive analytics to equipment data, helping reliability teams anticipate failures and schedule interventions at the right time. This reduces costly unplanned downtime, extends asset life, and optimises spare parts inventory.

• Slow process development and scale-up. In life sciences and specialty chemicals, developing and validating new processes can take years, with laboratory data often disconnected from production environments. Quartic integrates laboratory, quality, and plant data into a single framework, accelerating process transfer, validation, and scale-up. This shortens time-to-market for new products and reduces R&D costs.

• Compliance and regulatory risk. Regulated industries demand consistent, auditable control over processes. Quartic supports continuous process verification, automated process analytical technology, and detailed traceability of production decisions. This strengthens compliance frameworks, reduces audit preparation time, and lowers the risk of regulatory findings.

• Data fragmentation across legacy systems. Manufacturers often operate with a patchwork of legacy IT and OT systems that do not communicate effectively. Quartic’s DataOps layer harmonises this fragmented data into a unified fabric, enabling consistent analytics without requiring wholesale replacement of existing infrastructure. This allows companies to modernise operations incrementally rather than through disruptive system overhauls.

Taken together, these capabilities give businesses improved profitability, stronger compliance, and more resilient operations. Quartic allows organisations to transition from reactive firefighting to proactive and predictive decision-making.

How does Quartic use technology or innovation to deliver value?

Quartic differentiates itself by combining machine learning with process optimisation and control theory. Its approach goes beyond prediction, providing prescriptive recommendations and the capability to close the loop on decision-making by automating corrective actions.

The company’s innovation also lies in its DataOps framework, which contextualises and harmonises diverse data sources into real-time intelligence. Unlike tools that only provide retrospective analytics, Quartic aims to deliver predictive and prescriptive capabilities in live production environments.

Which industries and business functions use Quartic?

Quartic’s focus is primarily on process industries where variability, compliance, and efficiency are critical. Examples include:

• Pharmaceuticals and life sciences: Supporting regulatory compliance, process validation, and consistency in drug manufacturing.

• Chemicals: Enabling predictive maintenance and process optimisation across complex continuous processes.

• Food and beverage: Improving product consistency and reducing production waste.

• Consumer packaged goods: Enhancing throughput and reducing cycle times.

Within these industries, Quartic’s platform is used by operations, engineering, quality, and maintenance teams, with benefits extending to executive management seeking enterprise-wide efficiency gains.

Who are Quartic’s customers?

Quartic works with global manufacturing enterprises, particularly in life sciences and process industries. Well-known brand names working with Quartic include the likes of Sanofi, ABInBev, Novo Nordisk, and McCormick.

What makes Quartic different?

Quartic sets itself apart through its emphasis on decision intelligence: the ability not only to predict outcomes but to recommend and initiate corrective actions. Its combination of Industrial DataOps and AI analytics provides both the data integration layer and the intelligence layer, ensuring rapid insights from complex manufacturing environments.

The platform’s flexibility, operating across edge, cloud, and hybrid systems, and its usability for plant engineers and subject matter experts without deep data science expertise further distinguish it from traditional industrial analytics solutions.

What does the future look like for Quartic?

The broader market for industrial AI and Industry 4.0 solutions is expanding, driven by pressures on efficiency, compliance, and sustainability. Quartic is aligned with this trend, particularly as life sciences and regulated industries push toward real-time monitoring, predictive quality assurance, and autonomous manufacturing.

Quartic’s roadmap emphasises greater automation of decision-making, scaling deployments across multiple sites, and deepening integration with manufacturing ecosystems. Its partnerships suggest a strategy of expanding domain-specific expertise and accelerating adoption in heavily regulated sectors.

Our Viewpoint - Quartic

Why should buyers care about Quartic? Quartic represents a new class of industrial AI vendor focused on real-time decision intelligence. Its combination of data harmonisation, machine learning, and prescriptive recommendations positions it well for manufacturers seeking measurable improvements in efficiency, quality, and reliability.

For buyers, Quartic is particularly relevant if:

• Your operations suffer from variability or inefficiency in production.

• You need predictive and prescriptive insights to reduce downtime and improve yield.

• You operate in regulated industries where compliance, consistency, and data integrity are critical.

• You want scalable AI that can integrate with existing systems and infrastructure.

Quartic is a strong option for enterprises ready to move beyond pilot projects and embed AI-driven decision-making into core manufacturing operations.

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