Crosscale provides agentic AI that lets enterprise users ask plain‑English questions of core systems such as Oracle, SAP, Db2, SQL Server and JD Edwards, delivering governed, auditable answers that never leave the organization’s perimeter. The model‑agnostic platform runs on‑prem, in a VPC, or hybrid, and supports private or major LLMs like GPT, Claude, Gemini and Llama, ensuring secure, reliable analytics directly on existing data warehouses.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise organizations often store critical business data in core systems such as Oracle, SAP, Db2, SQL Server, and JD Edwards, but traditional analytics tools require data movement or lack governance, making it difficult for business users to query this information safely and reliably.
Solution
Crossscale delivers an agentic AI platform that enables users to ask plain‑English questions directly against these core systems. The platform parses natural‑language queries, maps them to the underlying schema using a patented QueryIQ engine, and generates SQL statements that run in‑place without extracting data from the perimeter. Answers are returned with full auditability, including the SQL receipt, data lineage, source system, and confidence scores. The solution is model‑agnostic, supporting major LLMs or private models, and can be deployed on‑premises, in a VPC, or in hybrid environments, ensuring that data never leaves the customer’s controlled infrastructure.
Target Audience
Primary customers are large enterprises in sectors such as financial services that need secure, governed analytics on legacy core systems for business users and analysts.
Features
- Natural‑language query interface that converts plain English into intent, entities, time ranges, and metrics
- Patent‑pending QueryIQ engine that grounds queries to the actual database schema and enforces governance policies
- In‑place execution on Oracle, SAP, Db2, SQL Server, and JD Edwards without data egress
- Auditable output that includes SQL receipt, lineage, source system, and confidence metrics for every answer
- Model‑agnostic architecture supporting GPT, Claude, Gemini, Llama, and custom private LLMs
- Flexible deployment options: on‑premises, VPC, or hybrid environments