AI deployment that fits your data boundary.

iGears deploys AI in three ways: through managed APIs, in a data centre of your choice—including Canadian residency options—or on-site in your environment. We choose the architecture around your data, integration, security and operating requirements. Before launch, we document where information is processed, stored and backed up, and who can access it.

Three connected AI deployment paths: a managed API cloud, a data-centre server environment and an on-site office server

Three deployment paths

Choose the boundary before the technology

Start with data classification, integrations, expected usage and who will operate the system. The right choice is the one your team can secure, support and explain.

Fastest start

1. Managed API routing

Connect your application to approved hosted models through a controlled routing layer. This is often the fastest route to a pilot and can support model selection, filtering, logging and fallback rules. Processing locations depend on the providers and configurations you approve.

Regional control

2. Data-centre hosting

Host a dedicated AI workload in a data centre of your choice, including Canadian residency options. This provides greater control over region, access and isolation without requiring hardware in your office. The design records backups, monitoring, subprocessors and support access.

Your environment

3. On-site deployment

Run the model and supporting services on infrastructure under your organization’s control. This suits workloads with strict confidentiality, connectivity or operational constraints, provided hardware, patching, backup, monitoring and incident responsibilities are agreed in advance.

Residency clarification: Canadian residency is an available architecture option, not a blanket claim for every provider or integration. We confirm the location of application data, logs, backups and supporting services during scoping.

Decision guide

Which deployment model fits?

We compare sensitivity, time, budget and operating capacity, then produce a written deployment map.

Decision factorAPI routingData-centre hostingOn-site
Data sensitivityApproved workloads with provider controlsStricter regional and isolation needsHighest internal-control requirements
Time to pilotUsually shortestModerate setupLongest preparation
Up-front costUsually lowestDedicated hosting costHardware and operations may be required
OperationsProvider plus iGears controlsManaged infrastructure and monitoringYour environment with agreed support duties

Written before launch

Know where data goes and who can act

The deployment map covers providers, regions, access, retention, logs, backups, monitoring, fallback and human oversight. Claims such as “fully private” or “stays in Canada” are used only when the complete design supports them.

Questions we hear

AI deployment FAQ

Which AI deployment option is fastest to pilot?

A controlled API route is usually fastest because it does not require dedicated hardware. Provider, region, logging and fallback rules still need to be approved before real data is used.

Can our AI workload stay in Canada?

Canadian residency is available for suitable data-centre and provider configurations. We confirm the location of application data, logs, backups and supporting services rather than treating residency as a blanket claim.

Does on-site deployment mean nothing ever leaves our network?

Not automatically. Updates, telemetry, backups, support access and integrations all affect the boundary. We document each connection and can design for offline operation where the chosen model and workflow support it.

Do we need to buy servers?

Not for API routing or managed data-centre hosting. On-site deployment may reuse suitable infrastructure or require new hardware after workload, model size, availability and support needs are assessed.

Can we change deployment model later?

Usually, yes. A well-separated application and model layer makes it easier to move from an API pilot to dedicated hosting or on-site operation, but data and integration dependencies should be planned early.

What do you document before launch?

The deployment map covers providers, processing regions, storage, logs, backups, identity and access, retention, monitoring, fallback, incident ownership and human oversight.

Get a quotation

Map the data boundary first, then choose the deployment path.

Send it today and our Hong Kong engineering team scopes it overnight, so you usually have an answer before your next morning. Your contract, your invoicing and the person you call stay in Edmonton. A quotation costs nothing and commits you to nothing.

Prefer email or phone? info@igears.ca · +1 587 599 2412

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