Berm Tec

Data, ML & AI

Data Pipeline Accelerator for Enterprises

Strategic engineering solutions and impeccable data management are the pivots of every data-centric enterprise. Our Data Pipeline Accelerator is a tailor-made solution to automate and optimize data delivery driven by skilled consultants. We back your organization with state-of-the-art and industry-standard services to enable your team to take data and AI solutions to the center stage across your enterprise.

Move over trial and error methodologies, expensive learnings, and bumpy launchings by harnessing our thoughtful and advanced pipeline solutions.


Most data management solutions are optional and impulsive, even though data-driven businesses lead the industry. Our data pipeline solutions make your organization data-focused and edge out competitors in the modern software-led economy more rapidly than ever.


We impart scalability to your organization through a flexible data pipeline accelerator without compromising your ability to manage voluminous unstructured, structured, time-series, and relational data.


Our data pipeline accelerator injects scalability, adaptivity, and consistency into your organization. So, we ensure you can achieve all goals by meeting the ever-growing data demands in your workplace.


Machine learning (ML) is the science of machines understanding and mimicking human actions through data analysis is called Machine learning (ML). It's the methodology where engineers use mathematical data models to help a machine iteratively learn without direct human instruction and intervention. Typically, ML works on recognizing data patterns and leverages them to create a functional model to make justified forecasts. As humans improve with more practice, machine learning outcomes get enhanced with voluminous data and increased experience.

BERM TEC offers professional consulting for a flawless business process at every machine learning phase, from the initial stages to PoC seeking and enterprise-level implementation.


We version the dataset models and send them back with accurate artifact tagging and results-auditing to enhance the overall model. You can expect high-end traceability with the live comparison of expected and predicted performance.


Automated application testing increases validation and decreases unexpected outputs during the release phase. We ensure explainability and reduced bias with continuous offline comparisons of the model data.


Model generation using code and deploying it using Git pipelines help us induce optimum automation in your workflow. It reduces error probabilities and streamlines better model generation.

What We Do?

Solution We Build