The memory API your stack is missing.
The memory API your stack is missing.
The suite
Everyone is talking about how the answer to better AI is more “context.”
But nobody is asking what “context” actually means.
Getting data closer together does not make it mean anything.
A standard does. There is no standard today.
Until now.
THE PROBLEM IN NUMBERS
Before any AI tool. Before any new software. This is the tax your team is already paying every single day just to find things that already exist.
Per employee. Not browsing. Not working. Just searching. That is 9.3 hours a week per person.
Half the time, the first search returns the wrong thing. IDC found workers take up to 8 searches to find one specific document.
The direct financial cost of the inability to find and retrieve internal information. Not productivity losses. Not opportunity cost. Just the raw number.
On top of searching, employees spend another 14% rebuilding things they know exist but cannot find. The same work, done twice.
Every failed search costs 23 minutes of lost focus. Multiply that by 8 failed searches per document.
For every five people you hire, only four are actually working. The fifth is spending their entire week finding information for the other four.
THE FIX
We solve that in three steps.
Every memory comes with five guarantees.
| Features | MI™ | Semantic Search Pinecone, Weaviate |
RAG Frameworks LangChain, Llama Index |
Enterprise Search Elastic, Vertex AI |
LLM Context Windows Claude, GPT, Gemini |
|---|---|---|---|---|---|
| Memory survives session end | ✓ | X | - | X | X |
| Runs on your own infrastructure | ✓ | - | - | - | X |
| Works with any LLM or tool | ✓ | - | - | - | X |
| Structures data at ingestion | ✓ | X | X | X | X |
| No context limit across sessions | ✓ | - | - | - | X |
| HIPAA / compliance built-in | ✓ | - | X | - | X |
| Reduces LLM compute 30%+ | ✓ | X | X | X | X |
| API-first memory in minutes | ✓ | - | X | - | X |
| Cryptographic hashing every step of pipeline | ✓ | X | X | X | X |
✓ YES X NO - PARTIAL
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