Flat retrieval at any scale
Complete work faster
Retrieval stays fast even as your memory grows huge.
Sovereign memory layer for your AI workforces
One shared memory substrate every agent reads and writes — self-hosted inside your perimeter, never handed to a vendor.
Chat copilots Vertical agents Enterprise search Custom agents
Your environment
Shared memory substrate Read & write via MCP — governed, portable, entitlement-aware
Sovereign by design
- In your perimeter
- No vendor lock-in
- Fully auditable
- MCP-native
- Runtime-agnostic
Why PearShape
Scattered memory is a liability. Sovereign memory is leverage.
One substrate every agent reads and writes, shared, auditable, and inside your perimeter.
Without a shared layer
Chat copilot MemoryVendor-held
Vertical agent MemoryVendor-held
Enterprise search MemoryVendor-held
With PearShape
Chat copilots Vertical agents Enterprise search Custom agents
Your environment
Shared memory substrate Read & write via MCP — governed, portable, auditable
Benefits
What a sovereign memory layer buys you
$0.003 per record
Cut token spend
Agents fetch only the facts they need, so context is priced by the record, not the prompt.
100% self-hosted
Keep your edge sovereign
Your trade secrets and hard-won advantages never leave your perimeter.
Market outlook
What the analysts are seeing
Over 40% of agentic AI projects will be canceled by the end of 2027 — driven by escalating costs, unclear business value, and inadequate risk controls.
Gartner, June 2025 Read moreThree out of four firms that build aspirational agentic AI architectures on their own will fail.
Forrester, Predictions 2025 Read more How we engage
Forward-deployed. Demonstrable proof in four weeks.
Our engineers embed with your team and stand the memory layer up against your real data, in your environment. No year-long RFP, no slideware — a working proof you can put in front of stakeholders.
4 weeks to a demonstrable, running proof
Book a scoping call 
Ready to own your memory layer?
See a sovereign memory layer running against real agents in under two minutes.