Partner with a data & AI expert to empower your organization with intelligent decision-making, innovation, and a data-driven approach. We collaborate closely with your business to establish data & AI as the foundation of your operations, leading to process transformation and improved customer experiences.
Our comprehensive solutions guide your data strategy, establish a cloud-based data infrastructure with governance and security, ensure data quality using modern principles, and implement master data management. We enhance your business processes through advanced AI and ML, streamlining data science operations and delivering accelerated results, outperforming custom integrations, and making informed decisions.
Assess the data's potential impact, Create data value maps to outline key outcomes and gain better actionable insights
Transform data infrastructure within weeks, gain essential insights, embrace a data-centric approach
Transform your initial concepts into practical solutions swiftly and cost effectively with our generative AI expertise
Enable real-time, actionable data for precise and straightforward decision-making with customized, & highly visual dashboards
Accelerate Your data product development with dedicated teams of highly skilled architects and engineers
Unlock growth and drive business outcomes with the right blend of data + AI-driven intelligence for better decision making
Facilitate state-of-the-art machine learning advancements through efficient processing, monitoring, and simplified maintenance
Our client is a provider of data clean room platform that unlocks decentralized data to make better business decisions smarter, safer, scalable, and simpler.
They were looking for multi-cloud expertise for secure data processing at scale. We collaborated with stakeholders to create and implement the data cleanroom solution. Our solution empowered their customers to use their own computing resources or the client's clean compute engine. Also our solution supported diverse data sources, including code containers, machine learning models, data files, databases, and data warehouses. We enabled client to land multiple multi-million dollar deals with international conglomerates like Disney, Pepsi, L'Oréal, LinkedIn, and many more
Our customer is a global leader in SaaS technology providing end-to-end cloud-managed live and on-demand video infrastructure for TV and OTT. They wanted to to develop a scalable content ingestion/aggregation platform with a focus on resilience, failure handling, and scalability. We helped the, with a graph metastore solution for Ingesting, standardizing, and enriching media content. Also enabled de-duplication and content unification from numerous channel partners. Our solution ensured easy customer access to the content. We also implemented an analytics platform to track, process, and report on metrics related to media content and customer activities.
Our customer is building the next generation of global radar network and data services platform to help satellite operators deploy their services safely and to empower governmental space agencies with detailed visibility into the Lower Earth Orbit (LEO) ecosystem. They wanted to setup resilient and scalable data processing and storage solutions. We established a data lake to meet data processing, storage, and usage needs. and developed multiple ETL pipelines to handle petabytes of data daily (around 20 million files ingested, transformed, and stored). We empowered the analytics team to create advanced reports faster and reduced operational team workloads by migrating some reporting and machine learning tasks to a scalable platform.
The client built a collaborative data processing platform that helps companies ingest and unify disparate data sets from multiple sources. The platform outputs data without the need for procedural ETL and data pipelines. With this platform, they were aiming to unlock the full value of customer data by empowering business users to collaborate on datasets that are initially hard to understand, reconcile, and blend. Velotio helped setup data ingestion pipelines, a core feature set of the platform. This pipeline unifies diverse data sets from various sources, creating standardized outputs without requiring engineers to develop procedural ETL and data pipelines. It's built entirely using AWS components and services.
The client has a self-learning customer data platform. It keeps the customer data live and enriched while automating the customer life-cycle with relevance to continuously produce unprecedented results in cross/up-selling & retention marketing. We leveraged google cloud storage and big query to setup a data lake which stores structured and unstructured data in parquet format. The solution ingests Batch (files, structured) and real time data (clickstream data, unstructured). We built a highly scalable ETL data pipeline solution using Airflow, Spark and Kubernetes.Also implemented generic framework for non-technical users to easily add data standardization and validation rules in PySpark.