Enterprise-Ready

Turn Raw Events into Personalized Memory.

Stop treating returning users like strangers.
Identify intent and context instantly to deliver personalized agent experiences that drive revenue and retention.

See Use Cases View Documentation
Works with your stack:
GA4 Mixpanel Segment
Neural Fabric
Input: "Viewed Pricing"
Output: "High Intent"

See What's Possible

Give your agents the context they need to be truly helpful.

E-Commerce

The Intuitive Concierge

Agent
"I've pulled three sustainable linen shirts in Medium. I know you prefer plastic-free shipping based on your last checkout."
SaaS Support

The Engineer’s Peer

Agent
"I see you've had three 401 Unauthorized errors in the last ten minutes on /auth. Want me to check your API key permissions?"
Content

The Personal Librarian

Agent
"Since you enjoyed the deep dives on Rust concurrency last week, I’ve summarized this new thread on memory safety for you."

You're Wasting Context.

Traditional analytics tools dump valuable user behavior into cold storage where your agents can't see it.

Raw Data Silos

Raw clickstreams are noisy. To get context, you have to build complex pipelines: ingest, embed, store, and retrieve. It's brittle and expensive.

// Your custom pipeline
events -> kafka -> snowflake -> dbt -> pinecone -> ...

The Memory Pipeline

We handle the "Action-to-Memory" pipeline. We ingest raw events, use specialized LLMs to extract meaning, and store structured memory.

>> Actionable Insight Ready
{ intent: "Urgent", sentiment: "Frustrated" }

Three Steps to Sentience

01

Ingest

Stream raw actions. Pipe in your clickstream (Segment, GA4) or chat logs via our API.

02

Synthesize

Background workers process the stream, detect patterns, and update the "Long-term Memory".

03

Serve

Query the warehouse via API or MCP to get a perfect snapshot of the user's state.

agent.ts
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const warehouse = new MemFabric(process.env.KEY);
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// 1. Ingest actions
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await warehouse.track(userId, { event: 'checkout_failed' });
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// 2. Query Memory Warehouse
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const profile = await warehouse.lookup(userId);
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console.log(profile.summary);
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>> "User is price-sensitive. Recent friction at checkout."