Legacy modernization services
Looking for legacy modernization services with a dedicated team? GIGA IT gives you a senior, AI-augmented team that joins your roadmap and works in your time zone, backed by 300+ specialists and 1,215+ projects since 2008.
Legacy architecture slow innovation. GIGA IT modernizes data and Artificial Intelligence platforms by adopting cloud-native architectures, unifying fragmented sources, enabling lakehouse and streaming patterns, and embedding governance and MLOps for scalable, reliable AI.
Trusted in mission-critical environments
Assess
Most organizations underestimate the gaps that block modernization. Before defining a target platform, GIGA IT assesses the landscape to understand legacy constraints, data fragmentation, governance maturity, performance bottlenecks, and technical debt that will impact AI execution.
Current data and analytics architecture, cloud/on-prem footprint, reliability constraints, and scalability limits evaluated.
Data sources, lineage, duplication, governance, and gaps impacting AI, analytics, and real-time workloads are assessed.
Interfaces, pipelines, APIs, and batch or streaming data flows are mapped identifying where systems fail.
Latency, throughput, failure points, and operational friction analyzed to understand performance under real load.
Gaps in access control, encryption, auditing, retention, and regulatory alignment identified for modernization.
Diagnosis of constraints, risks, opportunities, and prerequisites to move into architecture design without rework.
Design
GIGA IT designs the future-state architecture for the data and Artificial Intelligence platform including cloud migration strategy, lakehouse architecture, streaming pipelines, governance frameworks, observability layers, and MLOps capabilities.
Phased modernization roadmap with milestones, SLAs, and KPIs aligned to GIGA IT delivery models.
Scalable platform optimized for analytics, AI workloads, real-time processing, and long-term resilience.
Unified data models, governance, cataloging, lineage tracking, and access policies to ensure trusted data.
Batch and streaming pipelines designed to ingest, process, and deliver data reliably at scale.
Environments for model development, deployment, monitoring, and continuous improvement are designed for AI at scale.
Encryption, identity management, auditing, network policies, and regulatory controls embedded into the architecture.
Deliver
GIGA IT executes platform modernization through cloud-ready engineering, automated pipelines, governance frameworks, security controls, and observability enabling real-time analytics and scalable Artificial Intelligence workloads with reliability in mission-critical environments.
Governance, access control, audit trails, encryption, and compliance-aligned policies implemented end-to-end.
Infrastructure is modernized by deploying cloud-native and lakehouse components while unifying distributed data sources.
Ingestion, transformation, and streaming pipelines implemented with observability and reliability at scale.
Tools, environments, and MLOps frameworks deployed for advanced analytics and scalable model deployment.
Logging, metrics, tracing, performance tuning, SLAs, and operational runbooks implemented to sustain workloads.
Ongoing optimization and platform evolution through End-to-End Delivery, AI Engineering Teams, or Staff Augmentation.
Turn on the transformation
Let's talkPlatform modernization matters only if it survives real constraints in mission-critical environments. GIGA IT combines executive consulting with production-grade Artificial Intelligence engineering to deliver actionable, fundable roadmaps built for ROI, reliability, and compliance.
GIGA IT validates priorities against data readiness, integrations, SLAs, and governance, so execution won’t stall in production.
Decision workshops align stakeholders on what to fund first, reducing friction and accelerating time-to-value.
Execute with your team, with our AI Engineering Teams, or via end-to-end delivery fast, accountable, and low-risk.
Energy & Industrial Manufacturing | Global operations with legacy data architectures
Tenaris operated with distributed systems and data sources that made integration difficult. Legacy architectures supported daily operations but weren’t ready to scale or incorporate advanced analytics and AI slowing innovation in mission-critical processes.
GIGA IT modernized the data and Artificial Intelligence platform end-to-end: unified fragmented sources, designed a cloud-ready lakehouse, implemented batch and streaming pipelines with governance, and enabled MLOps under End-to-End Delivery with phased rollouts.
GIGA IT transforms fragmented data infrastructures into unified, AI-ready platforms that enable real adoption at scale.
Choose the model that fits your roadmap and your team. Since 2008 GIGA IT has delivered 1,215+ projects for 50+ clients in 15 countries, with 300+ specialists and 97% client retention.
We assume full-cycle accountability from architecture to production, with defined milestones and executive visibility.
Deploy a cross-functional engineering team aligned to your roadmap, with shared accountability for delivery and performance.
GIGA IT embed senior engineers under defined architectural governance and performance expectations.
GIGA IT’s Platform Modernization transforms legacy data and analytics environments into cloud-ready, scalable, Artificial Intelligence-enabled platforms including cloud migration, lakehouse architectures, streaming pipelines, governance, security, and MLOps for real-time decision-making in mission-critical operations.
Legacy architectures create fragmentation, latency, operational friction, and high integration costs. GIGA IT’s modernization provides unified, real-time data access, enables advanced analytics and Artificial Intelligence, reduces technical debt, and creates a sustainable foundation for innovation.
GIGA IT delivers a fully modernized, production-ready platform: unified lakehouse architecture, batch and streaming pipelines, governance and lineage, security and compliance controls, MLOps for deploying and monitoring models, plus documentation, runbooks, and SLAs.
GIGA IT embeds governance, auditing, encryption, IAM, network controls, lineage, and quality checks directly into the platform implementing observability across logs, metrics, and traces, aligned with regulatory and security requirements (audits, retention, SoD, PII).
GIGA IT delivers Platform Modernization through three models, all nearshore and time-zone aligned with SLAs and reporting: End-to-End Delivery for full lifecycle, AI Engineering Teams as cross-functional squads, or Staff Augmentation with senior specialists.
Yes. GIGA IT provides ongoing operations, optimization, enhancements, and model lifecycle management through: End-to-End Delivery, AI Engineering Teams, or Staff Augmentation ensuring the platform continues to scale with new analytics, workloads, and AI initiatives.
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