Your Sapience grows from your work and stays with you across AIs. Share what you choose, with your name attached. Sapience is a shared intelligence for humanity, so people and AI can discover what none of us could alone.
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You can use Sapience on your own. Free during beta, with a usage budget per person.
Stored on our servers, encrypted on disk. What stays yours
Ask it yourself. It answers from the notes of an example Sapience and shows the ones it used.
The drift is thermal. It follows the warm-up curve and settles once the mount reaches temperature. The compensation model from the bench run held in the field trial, and Tom's variant covers the vibration case.
A pre-trained model is trained on information up to a cutoff and then stops learning. Your Sapience carries your project's findings and decisions across the AIs you use, so you can pick up where you left off. Sapience keeps learning from all your work, including what you do in other AIs.
The live app, not a mockup, recorded at phone size. The lab is invented, and the waits for the model are shortened.
A living map. Your work organizes itself into a navigable map, from a single thought to the whole of what you know.
Your sessions talk to each other. A session can leave an addressed note for another thread, or a future you. Pinned commitments surface when the next session starts, and results return to the thread that asked, across Claude Code, claude.ai, Cursor, GPT, and Codex.
Three kinds of work it is built for. Research: keep a project’s findings with their sources, and the reasoning behind each decision, across the AIs you work in. Knowledge work: a product lead, consultant or writer keeps a project’s decisions straight across Claude, ChatGPT and the rest. Working together: two people, each on their own AI, plan a trip or a side project, and one AI can use the notes the other person chose to share, with their name on them.
The first time a colleague’s knowledge lights up against yours, the network’s purpose becomes clear.
Two people, thinking together through their AIs.
A chosen connection starts when you invite a colleague into a shared project. Sapience keeps your AIs in sync.
Fig. I · the discovery loop. Two people’s loops meet at the record.
Fig. I · the discovery loop. Two people’s loops meet at the record.
Somewhere, in a lab you have never heard of, someone is working on the other half of your breakthrough.
A found connection is made when your record and a stranger’s contain two complementary contributions to one problem and both of you would benefit from an introduction. Sapience finds complementary work for your problem and introduces the people behind it. Both people accept before anything is shared.
Because knowledge stays owned and credited, Sapience matches it across people and organizations no single vendor could connect. When you choose, what you establish reaches a stranger working on a complementary part of the discovery you are working toward, credited to you, in time to be useful.
The same structure often turns up in two fields that never talk to each other.
Glaciologists needed to sense the whole submerged front of a Greenland glacier. Engineering had the method, distributed fibre-optic sensing, eight years earlier, with no citation path between the fields; by similarity it ranked 22,746th. Sapience re-found the pairing among the first hundred it put forward. The glaciologists made the connection by hand in the end, so this is a connection recovered, not a discovery claimed.
In an internal benchmark on discoveries published after the reasoning model’s training cutoff, Sapience ranked the approach that later won first in 11 of 13 problems, on a small internal set whose protocol we share with partners.
Watch three strangers solve one problem › · Ask Sapience a question
“It’s amazing to have one brain’s memory infuse all my sessions: my Claude Code and web sessions are fully aware of each other now, and they talk to my Codex sessions too, across providers. That brain is constantly compounding, and it augments my own: it proactively suggests new ideas and connections.”
“This is something incredibly useful. The cross-domain connections are things I would never have found on my own.”
“This is very promising. Having the exact paper referenced is crucial. You know it’s the right thing, not something outdated.”
“Having a 2nd brain that is systematic and can help me keep hold of all the loose strings associated with my work is definitely invaluable.”
“The more collaboration across the world, the faster science progresses. I one billion percent see the benefit.”
A handful of researchers run Sapience in their daily work.
We keep only the knowledge objects we extract, never your raw conversations, and your data is never used to train anyone else's model.
Your link is private and unguessable, and nothing auto-deletes: your Sapience stays until you delete it, hosted or on your own machine. For a fully private or on-prem deployment, talk to us.
Figures I the discovery loop · II how it connects · III remembers at scale · IV stays current · V works across models · VI learns without forgetting · X to XIII the app, recorded at phone size
Remembers at scale
Accuracy holds from 4K tokens to a billion tokens of stored history, with the model reading a few hundred tokens per answer.
Scope BABILong qa3, 4K to one billion tokens of stored history. The official cells run to 10M; 30M to 1B use our corpora with repeating PG-19 book filler.
BABILong qa3. The official cells run to 10M; 30M to 1B use our corpora with repeating PG-19 book filler.
Stays current
Asked what a setting is now in a codebase that keeps changing, Sapience answers 88 percent right on the shipped engine, against 48 for Mem0 and 27 for the same model with git grep, on the same 60 questions.
Scope The same 60 questions on the real git histories of Django, LiteLLM, huggingface_hub and vllm, answers graded against git, no AI judge.
Real git histories of Django, LiteLLM, huggingface_hub and vllm, answers graded against git, no AI judge.
Works across models
The same model scores 86 with Sapience against 20 without it. On OpenAI's own long-context test, Sapience ties GPT-6 Astra, 98.4 against 96.3, reading about fifty times fewer tokens per answer.
Scope BABILong at 128K, the same model: 86 through Sapience against 20 by the first-sentence rule; judge-scored on both sides, 86 against 65. OpenAI MRCR v2, 8-needle items of 512K to 1M tokens, against vendor-published values.
BABILong at 128K, the same model: 86 through Sapience against 20 by the first-sentence rule; judge-scored on both sides, 86 against 65. In this benchmark nothing is fine-tuned and no weights change.
Learns without forgetting
In a two-task study across seven models from 7B to 397B, Sapience forgets 4 to 18 percent of the first task instead of 50 to 94.
Scope Synthetic two-task study on seven open models from 7B to a 397B mixture of experts, 17B active; three seeds per rung.
Synthetic two-task study on open models from 7B to a 397B mixture of experts; three seeds per rung; the 397B has 17B active. With Sapience the second task is learned as well or better. A model trained from its own record also answers tasks it never saw better, +6.01 points. The result is not a guarantee of perfect recall.
We’re admitting a limited number of people at a time.
One minute with an invite code. It reaches you in claude.ai, ChatGPT, Cursor, Claude Code or Codex. No code yet? Ask for a place.
What are you working on? One line is enough.
Your request is in. If approved, you will receive an invite code by email.
Prefer email? hello@spnc.ai
Ask for a place and we send an invite code. The build takes about ten minutes: no setup, no API key, one line builds your Sapience from your recent work and gives you a private link. The first discoveries are theirs. Come for the independence. Stay for the network.
One command installs it in about ten minutes, with no API key. It runs behind your Claude Code, claude.ai, Cursor, Cowork, and Codex sessions, which share one Sapience across every session and interface, and starts learning from them. Each session knows what previous sessions learned, whichever tool you use.
$ curl -sL "https://spnc.ai/install?i=YOUR-CODE" | bashyour code arrives with your invite · read on your laptop, never uploaded
Once your code arrives: Mac and Python 3, your history is read locally, the asking and connecting run on us. Not a terminal person? There is a one-click Mac installer. Prefer to see one first? Ask the live example your own question.
People learn individually and can do more by connecting what they know.
Sapience turns what we each know into what none of us could know alone.
AI that connects what you know, and who you know it with.
sa·pi·ence n. 1. wisdom; the trait our species is named for. 2. knowledge grounded in experience that builds cumulatively when people connect what they know.
Set in EB Garamond. Figures drawn in one ink. October 2026.
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