Scaled Sense provides a platform that translates unique business requirements into technical specifications for cloud providers like Azure. This enables organizations to build and deploy data products, operational intelligence, and generative AI capabilities with reduced vendor lock-in. The platform accelerates development velocity by automating delivery and workload management, allowing teams to focus on core business value.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations often struggle with fragmented data across multiple systems, leading to inconsistent definitions, duplicated efforts, and misaligned strategies. Traditional business intelligence tools are reactive, providing insights only after events occur, limiting real-time decision-making and process automation. Centralized data architectures can become bottlenecks, hindering data access and delaying the delivery of business value from data assets.
Solution
Scaled Sense provides a platform that unifies data, automates processes, and enables real-time decision-making. The platform offers solutions for enterprise ontology, data products, and operational intelligence. The Enterprise Ontology solution provides a framework that unifies an organization’s data across disparate systems, ensuring a consistent, shared understanding across the enterprise. The Data Products solution leverages a Data Mesh architecture to enable decentralized ownership of data, empowering business domains to treat their data as products. The Operational Intelligence solution goes beyond traditional BI by providing event-driven, automated decision-making capabilities, using real-time data streams to trigger processes and actions based on predefined conditions, incorporating AI to enhance decision-making in complex or ambiguous situations.
Target Audience
Scaled Sense targets enterprise organizations seeking to improve data management, automate decision-making, and accelerate the delivery of business value from their data assets.
Features
- **Enterprise Ontology:** Centralized knowledge base for managing and sharing data definitions and relationships, with versioning and visualization tools.
- **Data Products:** Supports a Data Mesh architecture with domain-oriented data products, automated lifecycle management, and cross-domain discoverability.
- **Operational Intelligence:** Event-driven workflows, AI-powered decision-making, real-time data stream ingestion, and cross-system orchestration.
- **Generative AI:** AI-driven insights engine with natural language processing and pre-built generative models for reporting, summarization, and forecasting.
- **Comprehensive Data Modeling:** Model data as an enterprise asset, considering schema, use cases, lineage, quality, and ownership.
- **Plug & Play Integration:** Seamlessly connect internal systems with third-party services.
- **Continuous Delivery:** Automated delivery of business logic.
- **Workload Management:** Well-architected workloads for running business logic.