Serspace · Built for how you work
Introducing Serspace Resolve. A personal agent that gets you. An architecture that protects you.
Personal agents are everywhere. But most of them are guessing. We're building one that genuinely knows your world — and one you can actually trust with it.
What We Believe
Think about what it would take for you to hand an agent the keys to your life. It would need to know your world — your people, your projects, your context — not an averaged-out version of everyone else's.
And you'd need to be sure that nothing you share with it could ever be used without your permission. Most tools today can't make either promise.
Most AI tools were designed to keep you coming back, not to help you get things done. The tab overload, the context switching, the constant noise — it's not an accident.
We started Serspace because we think there's a better way. An agent that works for you, not the platform.
"The most important AI of the next decade won't be the biggest model. It will be the one that knows your world, reasons faithfully over it, and keeps it entirely yours."
— The Serspace thesisThe Architectural Bet
We build a model of your world instead of turning all of your data over to an LLM. The result is private, faithful reasoning. Ask the same question twice, get the same answer. See exactly how it got there. Fix it when it's wrong.
01 · Your World Model
Your agent works from a real model of your world — the people, projects, and commitments that make up your life. Built from what you tell it, not scraped from the internet. The reasoning starts from something true.
02 · Proofs, Not Predictions
Every answer comes with the chain of facts and rules that produced it. Ask the same question twice, get the same answer. When your agent has to make an assumption, it shows you and waits for you to accept or reject it. When it can't reach a conclusion, it says so and points at what's missing — instead of inventing one.
03 · Privacy That's Actually Private
Your world model is for you and your agent — not for us, not for advertisers, not for whoever buys the company in five years. We're designing every layer to minimize exposure by architecture, so the strongest privacy guarantees come from how the system is built, not from a policy you have to take on faith.
04 · Built for You Alone
No ads, no upsells, no third party paying to nudge the answer. Your agent has one job: serve your interests. And if you ever want to leave, you take your model with you and walk out the door. An easy exit is the truest test of whose side we're on.
What We're Building
Your email, docs, and decks aren't really the work — they're the paperwork around it. Serspace Resolve looks past all of that to the work itself: the ideas you're developing, the clients you're moving forward, the decisions that need to get made.
It tracks what's important across everything, so you're not constantly reconstructing context from scratch. And when you do need to write something, it helps you shape your thinking into whatever the world needs — a reply, a brief, an update.
Less time on the paperwork.
More time on the work.
Progress
Here's what we've figured out, and what we're currently researching.
Our natural-language-to-logic pipeline runs end-to-end on local open models, producing answers with proof trees — or honestly saying it cannot conclude — instead of plausible-sounding guesses. The reasoning step is deterministic and reproducible.
Facts persist with full provenance and are validated against the same ontology the translator uses. The system has a real, queryable model of your world that grows over time — not just a chat history — and every entry is auditable.
When the system translates what you said into formal logic, it makes interpretive choices. We're working on the confirm-before-commit step so you can see and approve those choices before they change your world model. The plumbing is wired; the interaction design is the open question.
When the system can't prove a conclusion, can it surface the smallest set of premises that would close the gap — and weigh them against principles of sound reasoning? We're working on abductive inference that makes hidden assumptions explicit and reviewable, rather than quietly smuggling them in.
Want to know more? Please Get in touch.
Who We Want to Hear From
We're looking to connect with design partners, researchers, builders, and investors.
01 · Design Partners
You write, advise, manage, build, or create — and you'd like a personal agent that understands your world. Come help us figure out what that looks like.
02 · Builders & Researchers
If you're trying to solve problems in privacy and faithful reasoning, we'd like to connect.
03 · Investors
If you agree personal AI will succeed on the basis of trust, accuracy, and cost, rather than on bigger LLMs, reach out.
Get in Touch
Whether you want to use it, build with us, or back us — we'd love to hear from you.
If something on this page made you nod, or argue with the screen, or wonder what we're building — that's enough of a reason to reach out. Tell us what you're working on, what's been bugging you, or just say hi. We read everything, and we write back.
Who We Are
We're engineers and builders who kept running into the same problem: AI tools that felt powerful in demos and disappointing in practice. So we decided to try a different approach.
Chris Barber
CO-FOUNDER & CEO
Joe Torreggiani
CO-FOUNDER & CTO