About Pickle

Pickle is a personal memory platform that aggregates a user's spoken words, actions, and learned information into a unified, structured memory layer accessible to any AI service. It normalizes raw data into searchable episodes, identifies patterns, and predicts intent to enable AI assistants to act proactively, all while keeping the data encrypted in secure enclaves under user control.

<problem>Individuals generate vast amounts of personal data across devices and services, but this information remains siloed, making it difficult for AI applications to understand a user's context, preferences, and intent. The lack of a unified, user‑controlled memory layer limits the usefulness of AI assistants and hampers personalized experiences.</problem> <solution>Pickle provides a personal memory platform that aggregates a user's spoken words, actions, and learned information into a single, structured memory layer. The system distills raw inputs into standardized episodes, identifies recurring patterns, and makes these memories searchable for any AI service. By recalling relevant episodes in real time, Pickle enables AI assistants to anticipate user intent and take proactive actions. The platform runs within secure enclaves and uses open‑source code, ensuring that the memory data remains under the user's sole control and is accessible only to authorized applications.</solution> <features> - Data ingestion pipeline that captures text, voice, and interaction logs from multiple sources and normalizes them into episode records - Pattern‑recognition engine that extracts behavioral and preference trends across the user's history - Intent‑prediction module that retrieves the most relevant memories to inform AI responses and actions - Continuous learning loop that refines memory representations with each new interaction, improving personalization over time - Secure enclave architecture with end‑to‑end encryption, guaranteeing that memory data is stored and processed locally under user ownership - Open‑source SDK and APIs that allow third‑party AI models to query the memory layer without exposing raw user data </features> <target_audience>Pickle is aimed at developers of personal AI assistants, productivity tools, and any applications that benefit from deep user context, as well as privacy‑conscious consumers who want a single, sovereign memory repository.</target_audience>

What does Pickle do?

Where is Pickle located?

Pickle is based in San Francisco, United States.

When was Pickle founded?

Pickle was founded in 2024.

How much funding has Pickle raised?

Pickle has raised $4.4M.

Who founded Pickle?

Pickle was founded by Sanio Jung, Daniel Park, Daniel Park, Eunsoo Shin, Sang Jun Lee, Sanio Jung and Jason Cho.

Sanio Jung - Co-Founder
Daniel Park - Co-Founder & CEO
Daniel Park - CEO
Eunsoo Shin - Co-Founder
Sang Jun Lee - Co-Founder
Sanio Jung - Co-Founder
Jason Cho - Co-Founder

Location

San Francisco, United States

Founded

2024

Funding

$4.4M

Employees

14 employees

Investors

Nvo

Pickle

San Francisco, United StatesFounded 2024147K+ followers10/10 TractionRelative Traction Score based on online presence metrics compared to companies in the same age group.

Updated 2 months ago

Funding

$4.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Individuals generate vast amounts of personal data across devices and services, but this information remains siloed, making it difficult for AI applications to understand a user's context, preferences, and intent. The lack of a unified, user‑controlled memory layer limits the usefulness of AI assistants and hampers personalized experiences.

Solution

Pickle provides a personal memory platform that aggregates a user's spoken words, actions, and learned information into a single, structured memory layer. The system distills raw inputs into standardized episodes, identifies recurring patterns, and makes these memories searchable for any AI service. By recalling relevant episodes in real time, Pickle enables AI assistants to anticipate user intent and take proactive actions. The platform runs within secure enclaves and uses open‑source code, ensuring that the memory data remains under the user's sole control and is accessible only to authorized applications.

Target Audience

Pickle is aimed at developers of personal AI assistants, productivity tools, and any applications that benefit from deep user context, as well as privacy‑conscious consumers who want a single, sovereign memory repository.

Features

Data ingestion pipeline that captures text, voice, and interaction logs from multiple sources and normalizes them into episode records
Pattern‑recognition engine that extracts behavioral and preference trends across the user's history
Intent‑prediction module that retrieves the most relevant memories to inform AI responses and actions
Continuous learning loop that refines memory representations with each new interaction, improving personalization over time
Secure enclave architecture with end‑to‑end encryption, guaranteeing that memory data is stored and processed locally under user ownership
Open‑source SDK and APIs that allow third‑party AI models to query the memory layer without exposing raw user data