AI Data and Cloud

From foundation to last-mile engineering

We build the data and cloud infrastructure AI systems need to run reliably at scale — from architecture blueprints to production-grade platform. Whatever stage you’re at, the goal is the same: infrastructure that grows without letting costs grow with it.

Bring us your hardest AI problem

Why Solvd

Instead of treating each discipline as a separate work stream, we integrate data, architecture, security and governance into a single, cohesive delivery model.

That matters most when organizations are taking on complex modernization programs, the kind that spans multiple domains, where gaps between vendors can become costly problems.

With Solvd, you get a single team that sees the full picture and is accountable for the overall outcome.

Accelerated time-to-value

By addressing technology, security and financial considerations together, we eliminate the delays and rework that often plague transformation. Shared priorities and roadmaps ensure alignment from day one.

Reduced complexity

Our unified operating model simplifies governance and reduces handoffs between teams. The result is consistent methodologies, tooling, and reporting across your cloud and infrastructure landscape.

Balanced decision-making

With our approach, decisions reflect a holistic view of tradeoffs and opportunities, leading to solutions that are cost-effective and aligned with business objectives.

Offerings

AI systems built around real business problems

AI governance  & compliance automation

We build the frameworks that keep AI systems accountable with risk management, privacy controls, compliance automation and responsible AI practices embedded into the architecture from the start, not added when regulators ask for them.

MLOps & model deployment

A model that works on launch day isn’t the same as a model that works six months later. The difference is what’s built around it. We build the operational layer that monitors, manages and improves your models continuously from CI/CD pipelines to drift detection and retraining workflows.

Cost-optimized infrastructure & migration

AI infrastructure gets expensive fast without the right design decisions early. We architect and migrate cloud environments to keep performance high and costs predictable, whether you’re moving to AWS, Azure, GCP or operating across all three.

AI-ready data platform build & transformation

We design and build the data platforms that AI systems need to perform consistently by modernizing existing infrastructure, integrating data sources and establishing the quality standards that make your data actually usable.

Data pipeline & Lakehouse engineering

Clean, reliable data at scale requires an architecture built for it. We engineer data pipelines and lakehouse environments that handle high-volume ingestion, transformation and storage without creating bottlenecks for your AI workloads.

Capabilities

DevOps

MLOPs

CI/CD design/implementation

Infrastructure design & multi-cloud architecture

Data warehousing, engineering & labeling

Data quality management

Partnerships

We partner with leading platforms

Solvd Team

The team behind AI Data and Cloud

Technical engineers specializing in cloud architecture, data platform design, MLOps, security frameworks, and AI infrastructure who build and optimize production-grade systems that scale reliably while keeping costs predictable.

Timothy Harney Senior Vice President of Cloud and Infrastructure

Brett Ashwood Director of Cloud Solution Architect

Oleg Chunikhin Vice President of Technology

Yaraslau Karotkin Director of Cloud Solutions

From foundation to last-mile engineering