Built on Snowflake
Your data stays in your environment.Built on Snowflake by design.
Most software companies say your data is secure. Chainworthy is designed so that security isn't a feature that can be misconfigured. It's a structural property of how the platform is built. Every analysis, every AI inference, every recommendation runs inside your dedicated Snowflake environment. There is no path by which your data reaches a shared layer.
Why we built on Snowflake, and what it means for you
Chainworthy chose Snowflake as its data and AI engine for a specific reason: Snowflake is the only platform that allows us to run enterprise-grade AI, including large language model inference, vector search, and semantic analysis, entirely inside a customer's own data environment. Not adjacent to it. Not in a secured tunnel from it. Inside it.
This means that when Chainworthy's AI analyzes your sales data, profiles your uploaded files, or generates a recommendation, that work happens in Snowflake Cortex, Snowflake's native AI processing layer, using your data, in your environment, under your security controls. The AI processes your data where it lives. It does not travel anywhere else.
For enterprise buyers evaluating AI tools, this distinction matters enormously. Most AI-powered analytics platforms process data on third-party infrastructure and return results. Chainworthy is different by design: we use Snowflake's AI capabilities so that we never need to be in the middle of your data.
Five things that are true by architecture, not by policy
Your own dedicated database
Every Chainworthy customer gets a dedicated Snowflake database, provisioned at signup, scoped to your organization, and never shared with another customer. Your data does not comingle with anyone else's at the storage layer, the processing layer, or the AI inference layer. Not through configuration. Through structure.
AI runs inside your environment
Chainworthy uses Snowflake Cortex for all AI processing: data profiling, KPI generation, finding analysis, recommendation generation, and Ask Chainworthy. Cortex runs natively inside Snowflake. When Chainworthy calls an AI model, it calls it from within your database environment. Your data reaches the model inside Snowflake. It does not leave Snowflake to reach the model.
Every AI interaction is auditable
Every call Chainworthy makes to an AI model, from the first data profile to the latest recommendation, is logged to an audit table inside your Snowflake environment. You can query that table at any time to see what data was analyzed, what prompt was used, and what the model returned. This is not a vendor-controlled log. It lives in your environment, under your control.
Role-based access enforced at the database level
Chainworthy provisions two roles per customer: an Admin role with full management access and a User role with read access appropriate for analysts and team members. These roles are enforced at the Snowflake database level, not at an application layer that could be bypassed. Access boundaries are structural.
Your data never trains a public model
Chainworthy uses Snowflake Cortex to invoke AI models for analysis. These models process your data in context and return results. They do not retain your data, learn from it, or incorporate it into training sets that other customers benefit from. Your proprietary business data remains proprietary.
Your IT team will have questions. We have answers.
Request a demo and bring your security and IT stakeholders. We'll walk through the full architecture and answer any due diligence questions directly.