Matan Sitbon
CEO
Eoracle
Eoracle offers a cross‑fleet trust platform that ingests raw telemetry from GPUs, CPUs, accelerators and other compute hardware and converts it into a standardized world model of asset reality. The model provides trusted records of each unit’s identity, condition, custody history, degradation trajectory and economic value, enabling data‑center operators, cloud providers and enterprises to assess risk, plan capacity and compare assets across locations.
- Data & Analytics
- Enterprise Software
- Hardware
Updated 5 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Operators of large compute fleets lack a unified, trustworthy view of hardware assets because telemetry data is fragmented across systems and does not convey asset condition, ownership, degradation, or economic value. This makes it difficult to assess risk, optimize capacity, and compare assets across locations.
Solution
Eoracle provides a cross‑fleet trust pipeline that ingests raw telemetry from GPUs, CPUs, accelerators, and other compute hardware and translates it into a standardized “world model” of asset reality. The platform normalizes signals into trusted records describing each unit’s identity, operational condition, custody history, degradation trajectory, and estimated economic value. By stabilizing these records into a common reference frame, assets become comparable across data centers, cloud operators, and edge sites, enabling consistent risk assessment and capacity planning. The model is continuously updated as new telemetry arrives, allowing stakeholders to trace asset history, predict performance decay, and make data‑driven decisions about procurement, maintenance, and resale.
Target Audience
Primary customers are data‑center operators, cloud service providers, and enterprises that manage large fleets of compute hardware and need accurate, comparable asset intelligence for operations and finance.
Features
- Telemetry ingestion engine that aggregates hardware signals from heterogeneous monitoring tools and vendors
- Unified asset ontology that maps raw metrics to standardized fields for identity, condition, custody, degradation, and value
- Real‑time state inference layer that interprets signals to distinguish normal workload behavior from wear, misconfiguration, or ownership changes
- Historical asset ledger that records lifecycle events and provides trend analytics for performance and depreciation
- API and SDK for integration with data‑center management platforms, cloud orchestration tools, and financial reporting systems
- Security and provenance controls that cryptographically sign asset records to ensure tamper‑evidence and auditability