RapidCanvas

No lock-in at data, model, or cloud.

Your data stays in the stores you already run. Your models stay the ones your cloud already gives you. RapidCanvas deploys inside your own account, so the procurement, identity and audit boundaries are the ones you already have.

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A dashed perimeter marks your own cloud account. Inside it, your data stores feed the RapidCanvas context layer, which in turn feeds the agents, applications and dashboards it ships, with every step staying inside the boundary.
One view

Four estates. One delivery layer.

Your data stays where it is. RapidCanvas maps it once into a Context Engine, and every solution after that meets the same trusted schema, so the next one starts where the last one finished.

In detail

Pick your estate.

The layer underneath is the same on all four. What changes is how you buy it, which of that estate's services it reads, and which model backend it calls.

Microsoft Azure

Live on Microsoft Marketplace. Built for the Azure estate.

Procurable through Microsoft Marketplace against committed spend, with Azure OpenAI as the model backend.

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Amazon Web Services

AWS Marketplace listed. APN Partner.

Procurable on AWS Marketplace against committed spend, with Bedrock as the model backend.

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Google Cloud

A Google Cloud Partner. BigQuery in. Vertex out.

Reads governed BigQuery datasets and uses Vertex AI, inside your own Google Cloud project.

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Snowflake

Snowflake as the source. RapidCanvas as the delivery layer.

Reads Snowflake in place with compute pushdown, and writes decisions back to it.

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Got questions? We're here to answer them for you

Have more questions?
Contact our support team to get what you need.

No. RapidCanvas reads your data where it already lives, through the standard connectors for that estate. On Snowflake it pushes compute down, so heavy aggregates run in Snowflake rather than on our side. There is no migration and no mirrored copy to govern, which means the lineage and access control you have already built keep applying.
Whichever your cloud already gives you. Azure OpenAI on Azure, Bedrock on AWS with Claude, Amazon Titan, Mistral or Meta Llama, and Vertex AI on Google Cloud with the Gemini family or Claude on Vertex. Model choice is configuration-driven, so swapping one for another does not mean rewriting your agents, and the platform layer wraps every call with evaluation and lineage.
Service-account access, scoped per environment rather than one credential across all of them, with key-pair authentication supported. On Google Cloud the service accounts are IAM-scoped, so they hold only the permissions that estate has already granted them. Nothing asks for a standing human credential, and the postures your account already enforces keep applying.
Inside your own cloud account and VPC, or hosted by us, whichever you prefer. Deployed into your account it inherits the network, identity and audit posture that account already holds, so one vendor risk review covers it across the estate rather than one per solution.
RapidCanvas is listed on AWS Marketplace and Microsoft Marketplace, transacted by private offer, which is sales-led rather than self-serve. Google Cloud and Snowflake are direct relationships today, with marketplace listings on the roadmap.
Private offers through AWS Marketplace and Microsoft Marketplace are eligible against a MACC or an EDP, so the spend counts toward the commitment you have already made rather than sitting outside it.
No. The layer underneath is the same on all four, and deployed into your own account it inherits the network, identity and audit posture that account already holds. One vendor risk review covers it across the estate rather than one per solution.
Three surfaces from one Context Engine: agents that scan, test and act on a schedule or on demand, decision services your own systems call as APIs, and DataApps your operators work in. All three read the same mapped schema, so they cannot disagree about what a field means.
More. Compute is pushed down, so heavy aggregates run in Snowflake rather than on our side. The data does not leave, the warehouse does the work it is already sized for, and the governance you have built around it keeps applying.
SOC 2, HIPAA, ISO 42001 and GDPR, and those controls apply on every estate rather than on one and not the others. That is the point of one layer: the posture does not change because you chose a different cloud.
RapidCanvas
G2 Winter 2026 awards: Momentum Leader, High Performer, Best Support, Users Most Likely To Recommend, Users Love Us
G24.9 out of 5
Gartner Peer Insights5.0 out of 5
Certifications: AICPA SOC, ISO 27001, ISO 45001, GDPR, HIPAA

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