.svg){kind=spacer}
Without a secure, scalable data and AI infrastructure, even the smartest AI models will fall short, impacting your operational efficiency and strategic goals. ZeroStone specializes in building the robust, future-proof bedrock that ensures your AI investments deliver real, continuous value.
ZeroStone specializes in crafting these high-performance, secure data and AI foundations. We help you centralize disparate data sources into intelligent data lakes and warehouses, build robust ETL/ELT pipelines, and establish a resilient infrastructure optimized for both traditional analytics and the demanding requirements of autonomous AI agents. This ensures a single source of truth and a powerful engine for all your intelligent initiatives.
Description: We begin with an in-depth analysis of your existing IT systems, data sources, current cloud footprint (if any), and future growth projections. We identify architectural bottlenecks and data silos that hinder AI adoption and define a target cloud-native architecture aligned with your strategic objectives.
Focus: Understanding your current landscape and defining an optimal future-state infrastructure.
Description: We design a centralized, secure, and scalable data lake (for raw, unstructured data) and/or a data warehouse (for structured, analytical data) using leading cloud services like Google BigQuery. The design emphasizes creating a "single source of truth" for core entities and ensuring data integrity.
Focus: Building the centralized repositories for all your business data.
Description: We build robust Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines using services like Dataflow or Cloud Data Fusion. These pipelines integrate data from disparate systems, clean, standardize, and load it into your data lake/warehouse, ensuring high data quality for AI training and operations.
Focus: Ensuring continuous, high-quality data flow to power your AI.
Description: We develop a secure API Gateway (e.g., Apigee) to expose internal systems, allowing AI agents and external applications to interact programmatically. We also build integration workflows between cloud AI services and your existing tech stack, ensuring seamless data exchange and workflow automation.
Focus: Creating the connective tissue that enables AI agents to interact with your enterprise systems.
Description: Security and data governance are designed in from the ground up. We implement robust measures like VPC Service Controls, Customer-Managed Encryption Keys (CMEK), granular Identity and Access Management (IAM), and comprehensive audit logging. We also formalize ethical AI guidelines and anonymization strategies.
Focus: Ensuring your infrastructure is secure, compliant, and trustworthy for AI.
Description: A secure, scalable data lake and/or data warehouse providing a single source of truth for all business-critical data, optimized for AI workloads.
Description: Robust and reliable ETL/ELT pipelines for continuous data ingestion, transformation, and quality assurance, fueling your AI agents.
Description: A robust layer enabling programmatic, secure interaction between your AI systems and all internal and external applications.
Description: Infrastructure designed with comprehensive security controls, compliance frameworks, and data governance policies to protect sensitive information.
ZeroStone combines deep architectural expertise with pragmatic implementation. We don't just build infrastructure; we build resilient, secure, and future-proof foundations meticulously optimized for the demands of agentic AI, ensuring your intelligent systems have the reliable bedrock they need to thrive.
.svg){kind=spacer}
