Secure systems, engineered on Google Cloud

HALO is a Google Cloud partner with certified Professional Cloud Architects. We design, build, and operate production-grade systems on Google Cloud, from cloud-native applications and data platforms to API infrastructure and AI workloads.

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We build inside and around Google Cloud

We're a design, product, and engineering partner that builds inside and around Google Cloud, in environments where cost control, compliance posture, and engineering quality all have to be true at the same time. We've shipped multi-region applications, event-driven architectures, secure data layers, and API platforms inside compliance-sensitive environments, and the certification formalizes work our teams were already delivering. Cloud architecture work often sits alongside a product build, a data platform, a CMS migration, or an AI initiative, so our certified architects work as part of that wider team rather than as a standalone cloud function.

Why HALO

Why teams choose HALO on Google Cloud.

A credential your procurement and security teams already recognize, one accountable team for both the architecture and the code, and the range to carry a program from cloud foundations through AI. That is what high-stakes GCP work actually needs.

Certified professional cloud architects

Multiple certified Professional Cloud Architects on staff give procurement and security a credential they already trust, which shortens the vendor reviews that slow regulated work down.

Certified professional cloud architects

Multiple certified Professional Cloud Architects on staff give procurement and security a credential they already trust, which shortens the vendor reviews that slow regulated work down.

An engineering partner, not a reseller

We do not resell licenses or infrastructure. We design, build, and operate the systems, so the architecture decisions and the code that implements them come from one accountable team.

An engineering partner, not a reseller

We do not resell licenses or infrastructure. We design, build, and operate the systems, so the architecture decisions and the code that implements them come from one accountable team.

Cloud and AI in one engagement

The architects who stand up your cloud platform also stand up the data layer and the AI workloads on Vertex AI and BigQuery, so you scope one engagement instead of stitching three vendors together after the fact.

Cloud and AI in one engagement

The architects who stand up your cloud platform also stand up the data layer and the AI workloads on Vertex AI and BigQuery, so you scope one engagement instead of stitching three vendors together after the fact.

Compliance baked in

We work inside PCI-DSS, HIPAA, and ISO 27001 environments every day, and design that governance in from the first decision rather than retrofitting it before launch.

Compliance baked in

We work inside PCI-DSS, HIPAA, and ISO 27001 environments every day, and design that governance in from the first decision rather than retrofitting it before launch.

The full build on Google Cloud, from architecture to AI.

Architecture, migration, data, API platforms, and AI workloads, delivered by certified architects working inside your team rather than reviewing it from the outside.

Cloud architecture and platform design

Greenfield platforms, re-architectures of an existing GCP footprint, and the foundational decisions that set what everything else costs to run. We design performance, uptime, and cost as one problem, with resilience and observability built in from the outset, so the system holds up as traffic and teams grow.

Cloud architecture and platform design
Migration and modernization

Moving workloads onto Google Cloud from on-premise or a competing cloud, replacing aging tech debt, or building net-new on cloud-native foundations. Our certified architects sit inside the engagement at the workload level, which is exactly where migrations tend to succeed or fail.

Migration and modernization
API and integration platforms

The integration layer that lets enterprise systems exchange data reliably and securely at scale.

On a recent engagement we routed system-of-record and shared-services endpoints through Apigee X on Google Cloud, then built the layer that makes an API program usable: a Node.js service on the Apigee management and API Hub APIs, powering semantic search across the catalog and live documentation rendered from each API's OpenAPI spec, endpoints, versions, and payload examples, into an internal API marketplace. Proxying the traffic is the starting point; the lasting value is a program where teams find and consume the services that already exist instead of rebuilding them.

API and integration platforms
Data infrastructure

Governed data platforms, pipelines, and the BigQuery-backed layer that analytics and AI both depend on. We build data models that stay clear and queries that hold under real operational load, with governance applied from the first table rather than bolted on later.

Data infrastructure
Applied AI and agentic systems

LLM-native systems on Vertex AI, Document AI, and the broader Google Cloud AI toolchain: document and vision intelligence, semantic search, retrieval-augmented generation, structured outputs, function calling, and full agent workflow orchestration.

We run semantic search in production over an enterprise API catalog today, and we design these systems to be secure, explainable, and built for real traffic from day one, with human-in-the-loop validation early and governed scale once the system has earned it.

Applied AI and agentic systems
Embedded engineering and staff augmentation

Senior capacity that plugs into an existing cloud program: backend engineers in Go, .NET, and Node.js, process automation, and Apigee specialists who work as part of your delivery team. When a program needs credentialed GCP engineering to hit a date, we provide the people, not a statement of work from the sidelines.

Embedded engineering and staff augmentation