Remix Labs provides an execution and experience layer that extracts unified context from a data lake—especially Snowflake—and makes it available to AI‑driven digital experiences. Users can compose personalized interfaces from a catalog of widgets, charts, forms, and dashboards, with AI automatically tailoring content by role, permissions, history, and real‑time data, and deploy them as standalone apps, Snowpark‑native solutions, or embedded experiences in tools like Salesforce or Slack.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise AI applications often struggle because they lack real-time, unified context about users, roles, and data, leading to generic or irrelevant experiences. Without a single source of truth that combines structured and unstructured data, organizations cannot personalize interactions across the many tools their teams use.
Solution
Remix Labs provides an execution and experience layer that extracts unified context from a data lake—particularly Snowflake—and makes it available to AI-driven digital experiences. Users can compose experiences from a catalog of widgets, charts, forms, and dashboards, which are automatically personalized by AI based on user role, permissions, history, and current needs. The platform supports three deployment models: standalone apps that connect via APIs, Snowpark‑native applications that run entirely inside Snowflake with zero data movement, and augmented experiences that embed contextual data into existing tools such as Zendesk, Salesforce, or Slack. Context follows the user across any embedding point, enabling consistent, governed AI interactions in portals, mobile widgets, chatbots, co‑pilots, and IVR flows. Built‑in Snowflake integration provides OAuth access, RBAC enforcement, and full governance while allowing AI‑generated insights, text‑to‑SQL, and agentic workflows.
Target Audience
Remix targets enterprise product and engineering teams that build customer‑facing or internal AI applications, especially those using Snowflake as their data lake, as well as business users who need contextual, personalized digital experiences embedded in existing SaaS tools.
Features
- Catalog of reusable widgets, charts, forms, and dashboards for rapid experience composition
- AI‑driven personalization that adapts content by user role, permissions, interaction history, and real‑time data policies
- Three deployment options: API‑based standalone, Snowpark‑native inside Snowflake, and data‑lake‑augmented embeds
- Deep Snowflake integration with OAuth access, zero data egress, RBAC from Snowflake permissions, and availability in Snowflake Marketplace
- Embeddable experiences for portals, mobile devices, chatbots, co‑pilots, and IVR systems
- Agentic workflow builder that combines multi‑source data, natural‑language queries, and automated task generation
- Governance features including data access policies, RBAC enforcement, and audit‑ready context management