Oliver provides a data platform designed specifically for AI agents, allowing them to query and act on enterprise data without prompt engineering or data duplication. The system stores a single trusted version of data and offers a thin, policy‑enforced layer that lets agents like Claude, GPT, or custom models retrieve answers in milliseconds, while supporting on‑prem VPC deployment or a managed cloud service.
Funding
Funding not disclosed
Founders
Product
Problem
AI agents require fast, reliable access to clean, well‑structured data, but existing data platforms are optimized for human queries, leading to latency, high token usage, and the need for extensive prompt engineering.
Solution
Oliver provides a data platform built specifically for AI agents, offering managed, right‑sized cellular storage that isolates each workload and delivers predictable, sub‑second query performance. The platform ingests data directly, maintains a single source of truth, and abstracts away raw table structures so agents can query meaningfully without prompt engineering. By keeping data in its original location and supporting both managed and VPC‑deployed options, Oliver eliminates data migration and vendor lock‑in while ensuring security through RBAC policies. Columnar storage with memory‑to‑SSD‑to‑object tiering and per‑file indexes enables analytical reads that are up to 1,000× faster than traditional warehouses, reducing token and compute costs for downstream AI workloads.
Target Audience
Primary customers are enterprises and AI‑first product teams that deploy large language model agents for analytics, automation, or decision‑making, and need a high‑performance, secure data backend.
Features
- Managed cellular storage that can be right‑sized to match the volume of data for each agent workload
- Isolated, policy‑driven access (RBAC) ensuring each agent operates only on its designated data slice
- Automatic data understanding on ingest, removing the need for prompt engineering and enabling semantic queries
- Multi‑tier architecture (memory‑speed hot tier, warm tier, and cold object storage) with per‑file indexes for sub‑second analytical responses
- Compatibility with any object storage or existing data lake; no data migration required
- Deployment flexibility: fully managed SaaS or self‑hosted in a customer VPC with SOC 2, ISO 27001, and HIPAA compliance options
- Swarm router that routes queries from multiple LLMs (Claude, GPT, Gemini, custom models) to the appropriate data cells