Machine learning (ML) is transforming industries, but getting models into production presents unique challenges. After working with many engineering teams, we’ve identified recurring issues with fragmented workflows, scalability, and maintaining model performance. To solve these, we’ve crafted solutions. Tikal’s ML Platform solution optimizes these processes, ensuring security and scalability at every step.
An ML platform provides the infrastructure needed to manage the entire lifecycle of machine learning projects. From data preparation to model deployment and ongoing monitoring, it simplifies the process, helping your team focus on insights instead of logistics. Tikal’s expertise ensures that both data scientists and developers can collaborate seamlessly, addressing their specific needs while reducing friction between development and operations. With Tikal’s support, you can build a platform that adapts to your evolving needs, ensuring that your models remain reliable and performant.
Tikal implements different tech solutions depending on the specific goals. We use tools like ClearML and Kedro for workflow management, Evidently AI for model monitoring, and Great Expectations for data validation. For scalability, we integrate solutions such as Kubeflow and cloud platforms like AWS, GCP, and Azure, ensuring your machine learning platform grows with your business.
By partnering with Tikal to implement your ML platform, your organization can achieve:
A fully integrated ML platform covers all stages—from data preparation and model training to deployment and monitoring—automating repetitive tasks and improving productivity
By creating a unified platform, collaboration between data scientists, engineers, and business stakeholders becomes seamless, ensuring that everyone stays aligned and focused on common goals.
Tikal implements tools for continuous monitoring, tracking both technical and business metrics. This helps identify issues such as model drift early, keeping your system adaptable and accurate in production.
Our platform is designed to scale with your business, ensuring that as your needs grow, the platform grows with you. Additionally, by automating manual processes and leveraging cloud infrastructure, you’ll reduce costs while maximizing efficiency.
The journey to an efficient machine learning platform begins here. In the initial strategy sessions, we’ll work closely with your team to ask the right questions about your goals, workflows, and challenges. This helps us shape a tailored roadmap that meets your current needs while staying adaptable for future growth. The Tikal Squad will integrate with your team as a dedicated, independent unit. The squad will be assembled based on the specific expertise required for your project, ensuring that you have the right mix of skills for success. Throughout the process, Tikal collaborates closely with your team, sharing all the knowledge and tools necessary to ensure your machine learning platform continues to thrive long after the implementation phase.
Ready to streamline and scale your machine learning platform?
Let’s build it together.
