Harness AI and ML to Transform Your Data into Actionable Intelligence.

Deliver Optimized Efficiency & Experience

Our AI/ML Expertise Across Industries

Healthcare & Medicine

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Medical diagnosis
New drug discovery
Personalized medicine
Early disease detection

Banking & Finance

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Fraud detection
Risk assessment
Algorithmic trading
Credit scoring

Retail & E-commerce

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Demand forecasting
Inventory management
Personalized recommendations
Chatbots for customer service

Manufacturing & SupplyChain

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Predictive Maintenance
Process optimization
Quality control
Autonomous robots

Client Success

98%

Accuracy in detecting coils that have failed the leak test

90%

accuracy in diagnosing 13+ medical conditions

100%

efficiency in detecting non-anodized calipers through the algorithm

Analyst Mentions

The NelsonHall report for Quality Engineering 2023 recognizes Cigniti as Leader in Overall Quality Engineering, AI-Based Analytics and Automation, Application Security Testing, Cloud Migration, and RPA.

Cigniti has been mentioned in the Robotic Process Automation in the IDC Market Glance AI and Automation in Hospitality, Dining, and Travel, 2Q23.

Cigniti's IP: Zastra™ has been mentioned in Forrester's latest report on Computer VisionLandscape titled “The Computer Vision Tools Landscape, Q2 2023 report.”

Cigniti is a Leader in Overall Quality Engineering, AI & Cognitive Testing, Continuous Testing & Application Security Testing, 2022

Challenges Faced by Today’s Organizations

Data Scope & Quality

Businesses implementing AI/ML struggle with data availability and quality. AI algorithms require ample high-quality data, but many lack the necessary infrastructure to obtain enough reliable data.

Integration With Existing System

Integrating AI/ML into existing business processes is challenging. Customization of complex enterprise systems is time-consuming and costly. It may also face resistance from employees due to workflow and process modifications.

Lack of Understanding the scope of AI

To maximize the benefits, organizations need to manage AI projects effectively by prioritizing specific areas that align with financial goals. Selecting the right use cases is crucial for achieving desired outcomes.

Lack of skilled Personnel

The shortage of AI/ML experts hampers businesses. Attracting and retaining skilled personnel is challenging, and training existing employees in AI/ML techniques may be limited.

Cigniti’s AI/ML Offerings

Cigniti provides end-to-end AI/ML project services, including consulting, strategy, development, testing, deployment, and management. Our capabilities cover AI strategy, ML testing, model building, cognitive services, and deep learning. Responsible AI/ML interventions have become essential for organizations, driving improved experience and efficiency.

As organizations increasingly rely on data-driven strategies, integrating machine learning into daily operations has become essential for driving innovation and maintaining a competitive edge. Our MLOps services are designed to seamlessly integrate machine learning models into your business processes, ensuring that they deliver consistent value at scale. By aligning the best practices from DevOps, DataOps, and AI/ML engineering, we manage the entire lifecycle of your models, from development to deployment and ongoing optimization.

Our Expertise in AI/ML Related Tools & Technologies