Personal AI
Early days of large-scale computing - IBM System/360
Computers started as giant undifferentiated mainframes. Everyone would access the same mainframe to crunch the numbers they needed.
They were centrally controlled, received centralized distribution of capabilities via a single large binary and didn't differ from role to role or person to person.
Then came personal computers
Even ahead of the GUI, personal computers meant freedom from the sameness and mundane capabilities of the centralized mainframe. It meant each company and each individual could personalize their computer to fit their computing needs. The accountant could install spreadsheet software. The lawyer, a word processor. The accountant and lawyer's kid installed "Oregon Trail".
Apple Macintosh 1984 television commercial
Then came LLMs
We're now moving towards a world where software applications are not only growing easier to build, but will be able to be generated on the fly to serve our needs.
We're moving from a world where we personalized our computing experiences with capabilities gained through installing software to a world where we have a flexible and generally capable computing environment that we personalize through our data.
When a computing environment is generally capable enough as AI is, it's not new software capabilities that make it tailored to your needs, but the data. Without portable and personalized context management, we're still in the undifferentiated era of AI.
Pacific is here to put personal AI on every desk.
To start, every company and every person needs a personal context manager to personalize their AI experiences to their needs.
Magical Personal Libraries
We are moving from a world where we personalize our computers by downloading personalized applications that suit our workflows, to a world where we personalize our software through our data and context. When software can be generated on the fly, it's the information that it acts on that is unique to you and that makes it work for you.
We need an easy way to personalize tools with our information. People have started to approximate this desire and take baby steps towards customizing their AI tools with their data.
They've copied their context into prompts, or manually uploaded their files with each query.
They've tried connecting individual apps to individual other AI apps.
They've hired consultants and paid for "special" databases to make it easier.
They've made up names like RAG, agentic retrieval and context engineering.
They've gone through months-long integration processes every time a company wants to try a new tool.
They've come up with standards like MCP, ACP or other API wrappers to incentivize easy connections.
This concept could exist within a single ecosystem like ChatGPT connectors, but we hope for a world where there are still countless tools built by those with differing opinions. That world is only possible if you can easily bring your data to those tools.
We have a tiny window right now to sprint towards that more idyllic future.
One where a thousand flowers can bloom in freedom. Otherwise, the large players will aggregate that data into an insurmountable advantage, stifling choice and eliminating strategic flexibility.
The future of software that we want to live in requires portable data.
Data that moves with each person or company from tool to tool, model experience to model experience.
What we need is a single magical personal library
One you can add to from anywhere
And plug into any software tool you may want to use
One that auto-organizes your information
So you can browse it, audit it and know it's reliable
And that you can permission and monitor centrally
So you know it's safe every time you use it
Pacific is working towards this future of a magical personal library for each of us.
Introducing the Pacific Enterprise Context Management System (ECMS)
Every company needs a way for the AI tools and agents they build, purchase and weave into the fabric of their organization to securely access and operate with the full information and capabilities of their organization. They need a single place to connect their data and their tools to make them work for their company across every AI tool now and in the future.
This can enable CIOs and AI task forces to enable new workflows, point solutions and experiments in an instant instead of requiring lengthy integrations for each new tool.
It can enable CISOs to monitor AI data access across their entire organization.
It enables Engineers to build new AI experiences on custom data sets and connect to proprietary systems with a single API call.
Pacific is building this context management system for the world. While foundation labs will continue to bring us greater intelligence to go after increasingly challenging workflows, the company-specific index is needed to make that intelligence work for each company.
Just as AI foundation labs put raw intelligence an API call or query away. Pacific does the same for your internal data.
To serve the world at large, it's sometimes best to start on "hard mode". We've been working with some of the largest companies for which information governance, portability and reliability is of the utmost importance — leading financial services firms — to turn their internal knowledge into a competitive advantage.
You can start building your personal library, and start living in a future of personal AI at pacific.app.
About Pacific
We're a fast-growing team with deep expertise across search, AI, and infra, perfectly set up to make this a reality. We're backed by many of the top minds across AI, technology, security, and finance, including Dylan Field, Chapter One, John Lilly, Mark Chen, Neo, as well as founders and executives at Moelis, Apollo, and others.
Our team is held together by the threads of curiosity, intensity and a shared extreme love of building. Together we're building towards putting personal AI on every desk. Every company and every person will one day have a magical library that personalizes their computing experience. We're the team working to pull that forward.
If you love to build and this is a future you're excited about as well, we'd love to meet you. Email us at [email protected] with evidence of curiosity, a love of building and extraordinary capacity.
