AtlasGrid offers a cloud‑based platform that visualizes and manages spatial data through an interactive grid interface, enabling organizations to locate and monitor assets such as safehouses or facilities. Users upload location data, which the system maps onto a customizable grid for real‑time analysis and planning. The service is delivered via a subscription model, providing access to the grid UI, data integration tools, and ongoing support.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often store critical information across multiple silos—CRM, analytics, support tickets, and custom databases—making it difficult to derive a coherent, actionable view of user behavior. This fragmentation forces analysts to manually join datasets, leading to delayed insights and suboptimal decision‑making.
Solution
AtlasGrid delivers a data‑contextualization platform that automatically ingests and normalizes disparate data sources into a unified graph‑based knowledge base. The platform enriches raw events with semantic relationships, enabling real‑time queries that surface relevant user context without manual stitching. A low‑latency ingestion pipeline supports both batch uploads and streaming APIs, ensuring fresh data is always available for analysis. Users interact with the unified view through an interactive React Flow visualization, which lets them explore connections, trace journeys, and surface hidden patterns. AtlasGrid exposes RESTful and GraphQL endpoints as well as SDKs for seamless integration with existing BI tools, CRMs, and product dashboards. Built‑in role‑based access control, end‑to‑end encryption, and compliance‑ready audit logs protect sensitive data while meeting enterprise governance standards.
Target Audience
Primary users are product managers, growth analysts, and data engineering teams at mid‑size to large SaaS, e‑commerce, and fintech companies that need a consolidated, context‑rich view of their customers to drive data‑informed decisions.
Features
- Over 30 pre‑built connectors for SaaS services (e.g., Salesforce, Mixpanel, Zendesk) and native ETL adapters for on‑prem databases
- Graph‑native data model that captures entities, relationships, and temporal events for flexible, context‑aware queries
- AI‑driven enrichment engine that auto‑tags, deduplicates, and infers missing attributes across data streams
- Interactive React Flow UI for drag‑and‑drop node exploration, path tracing, and real‑time visual analytics
- Unified API layer offering REST, GraphQL, and WebSocket endpoints for programmatic access and real‑time subscriptions
- SDKs for Python, JavaScript, and Go to embed contextual insights directly into internal applications
- Enterprise‑grade security: TLS encryption, RBAC, SSO (SAML/OIDC), and immutable audit logging
- Configurable data residency and compliance modules (GDPR, CCPA, HIPAA) for regulated industries