MLOps Services
Design and deploy scalable AI/ML solutions faster with our custom MLOps offerings to Improve performance of ML models across business functions.
Trusted by Top Brands
Standardized MLOps Workflows At Scale
“MLOPs systems are becoming ubiquitous across business and industries. However, research says 87% of AI/ML models never make it to production. Enterprises still face many challenges when it comes to scaling, automation, standardization, and cost-effectiveness of ML solutions. The skill gap and lack of experienced ML experts, monitoring tools, and automated processes leads to poor development standards without quality, duplication of efforts, and underperforming systems. Furthermore, ML projects implemented with sub-par standards expose enterprises to governance, security, and compliance risks.”
WorkCog helps you operationalize your ML models using best-in-class ML digital frameworks, automated workflows, and pre-built accelerators to scale ML models in production. Our ML solutions enable faster development cycles, process automation, and complement your team’s skills with state-of-art MLOps tools to accelerate time-to-market while helping you accomplish your ML objectives with confidence.
Machine learning (ML) is a highly iterative task. Data scientists spend tons of time trying out different algorithms and doing hyperparameter tuning to find the best-performing model. But these repetitive tasks can be automated by using Auto ML. Our approach provided all the source code that generated all the ML models, not just the best performing but all the models evaluated, allowing data scientists to customize the models with the source code provided. Strategize and define the optimal Machine Learning Operations (MLOps) framework for your enterprise with our extensive MLOps experience.
Our MLOPs Solutions
ML Advisory and strategy
ML Pipeline Development
ML Implementation services
REAL AI
ML Observability and Monitoring with MLWorks
Model Deployment and Implementation
Continuous Delivery for Machine Learning
Model Monitoring
ML Advisory and strategy
WorkCog’s ML leaders help business to strategize and define the optimal Machine Learning Operations (MLOps) framework for your enterprise. Our extensive MLOps experience combined with our toolkits, based on industry best practices and technology partnerships, will accelerate your roadmap to scale your ML capabilities. From ML use case architectures to model realization, modernization, and democratization, we help you find the right path to succeed in your ML new initiatives.
ML Pipeline Development
WorkCog’s ML team specialize in developing automated ML pipelines designed to take input data and code and process it, enabling you to train machine learning models seamlessly. Our ML pipeline development services ensure that your data is processed accurately and your ML models are trained to the highest standards for greater outcomes.
ML Implementation services
We ensure high-impact performance of ML systems with WorkCog’s proven ML engineering capabilities, accelerators, frameworks, and agile methodologies for developing robust MLOps workflows. We have helped clients across the ML lifecycle – from setting up automated ML pipelines, setting up feature stores, deploying and shipping models at scale to monitoring models in production. We help you harness the potential of ML systems with standardization, feature addition, and enhanced performance of processes across the ML lifecycle.
REAL AI
WorkCog’s REAL AI refers to the ethical and transparent use of AI, ensuring it aligns with human values, is secure, and respects privacy and dignity. WorkCog MLOps specializes in creating and deploying reliable and accountable ML systems that respect human rights. Our implementation of Responsible AI leads to improved decision-making, increased efficiency, better customer experience, enhanced compliance, and better governance of ML models in production. Using fairness frameworks to control bias and explainable AI to make model recommendations clear, we deliver twice as likely business outcomes compared to other solutions.
ML Observability and Monitoring with MLWorks
The robustness in ML and AI systems depends upon continuous monitoring and model feedback. MLWorks, WorkCog’s machine learning observability tool, is designed to bring end-to-end observability, monitoring of ML models, data and dependent pipelines to ensure continuous and effective production workloads, resulting in higher ROI for your AI investments.
Model Deployment and Implementation
We have extensive experience in deploying machine-learning models on cloud-native infrastructure that are optimized for ML workloads, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), ensuring their high availability, scalability and reliability.
Continuous Delivery for Machine Learning
Our CI/CD service enables your data science team to quickly test new ideas and iterate on models by automating pipeline components’ building, testing and deployment to the target environment. By streamlining the development process of your machine learning pipeline, we help you accelerate time-to-market and achieve business growth.
Model Monitoring
Our observability solutions, such as distributed tracing, log analysis and anomaly detection are designed to provide real-time insights into the performance of your AI systems, enabling you to optimize and fine-tune your models for better accuracy and efficiency.
WorkCog’s MLOPs Solutions Unique Approach
WokCog helps you operationalize your ML models using best-in-class frameworks, automated workflows, and pre-built accelerators to scale ML models in production. Our solutions enable faster development cycles, process automation, and extend your team’s skills with state-of-art MLOps tools to accelerate time to value while helping you accomplish your ML objectives. We implement ML projects with standards expose enterprises to governance, security, and compliance risks. We are your trusted MLOps partner of choice for all your business needs as we are early adopters of MLOps with proven expertise in scaling 10k+ models.
WorkCog’s Highlights
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Active consultants and engineers trained in DevOps tools & platforms
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Currently servicing DevOps & Automation customers
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C-sat score across all size of businesses consistently
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Successfully projects delivered within budgets and time frame
Tools & Platforms Expertise
Conducting full analysis and understanding of your existing IT systems is a key to success whilst adopting ML solutions with industry best practices. We identify and understand your business MLOPs challenges and develop concrete ML roadmap to execute custom automation workflows and solutions to ensure business success.
Automation and CI/CD
Multi Cloud Deployment
Log & Search Frameworks
Why Choose Us?
Championing
Full-stack DevOps & automation consulting expertise with multiple domains, defined goals, and KPIs
Winning
Innovate your systems and business processes with last mile adoption of AI-powered DevOps
Growing
Industry specific software/product development and delivery transformation with custom DevOps accelerators
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We are agents of change, consistently learning and applying our ML expertise to help tech leaders and businesses to work better, build greater, and deliver faster.