Symbologic
Symbologic provides a secure enterprise AI platform that deploys on-premises or in a customer's virtual private cloud, ensuring sensitive data never leaves the organization's control. The platform unifies siloed structured and unstructured data, documents, and feeds, using an intent router to deliver cited, hallucination-free answers to both analytical and research questions. A Corporate Memory engine stores all queries and results for auditability and continuous value building.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Enterprises face significant challenges unlocking value from AI because their sensitive corporate data is scattered across siloed systems, and conventional AI solutions require sending data to external cloud services, creating privacy and compliance risks. Organizations need AI that can answer both analytical and research questions accurately without compromising data governance or role-based access controls.
Solution
Symbologic delivers operational intelligence by deploying a secure AI solution directly on the customer's on-premises infrastructure or within their virtual private cloud, ensuring data never leaves their control. The platform integrates seamlessly with existing infrastructure to unify siloed data, documents, and data feeds, then applies governed role-based access controls to answer analytical and research questions with high accuracy. A proprietary Corporate Memory engine stores all queries, search results, and work product for tracking and reuse, continuously building value over time. The system provides full auditability and complete citations for every answer, enabling hallucination-free decisions grounded in trusted corporate data.
Target Audience
Primary customers are large enterprises and organizations with sensitive or regulated data that need secure, governed AI capabilities, such as market research firms and businesses with proprietary data assets requiring in-house AI deployment.
Features
- On-premises or VPC deployment that keeps all data within the customer's architecture for complete data sovereignty
- Frictionless integration with existing infrastructure without disrupting current systems
- Unified querying of structured and unstructured corporate data, documents, and data feeds
- Intent router that directs quantitative queries to deterministic computing engines for analytically precise answers and qualitative questions to advanced language models with citations
- Corporate Memory engine that stores all queries, search results, and work product for tracking, reuse, and continuous value building
- Full auditability with complete citations for every answer, maintaining a referenceable ledger of time-tracked activity
- Role-based access controls governed by the enterprise's own data privacy policies
- Rapid deployment in days with predictable LLM token cost control