1T turns personal and business documents into private, queryable context for any SOTA LLM — without raw files or sensitive details leaving your machine. Public model power. Private life and work.
Not another chatbot — a lockbox that makes every frontier model useful on your documents, safely. At home and at work.
Documents are stored and indexed locally. Names, SSNs, cards, emails, phones, client identifiers, and other sensitive details are masked before a message leaves your browser. You approve every send. The AI only ever sees 1T’s protected copy — never the raw file.
Full redaction · Review before sendUse the best models today — ChatGPT, Claude, Gemini, Grok, and more — against a personal or work corpus that grows with you. Today: up to 10M local context. By October: 100M. Not one PDF. Your decade of paperwork and institutional knowledge.
Any model · Growing lockboxThe average person should never need to know what a token, context window, embedding, or RAG pipeline is. 1T removes the engineering surface: drop your files, ask in plain language, get answers grounded in your life or work. Frontier capability, consumer calm.
Ask real questions · Not AI homeworkTeams already want Claude, GPT, Gemini at work. IT and legal fear client data, IP, and PII walking out the door. 1T is the bridge: keep contracts, decks, CRM notes, and HR files in a local lockbox; let public SOTA models reason on redacted context only.
Coexistence · Not a private-model taxChoose which files each conversation can see. Switch models as quality or price shifts. Prepare for doctors, closings, tax season, board meetings, and client calls — making human experts sharper and cheaper to use, not pretending to replace them.
Per-chat selection · Multi-providerPower users can dig into chips, sources, and redaction details. Everyone else just… uses it — at the kitchen table or the conference table.
Each story goes deep: what’s in the lockbox, what they ask, how 1T works, and the confident next step — without raw documents leaving the machine.
Maya’s child is diagnosed with something that sounds rare and terrifying. The pediatrician is good but rushed. Web search is either alarmist or too generic. She needs calm, document-grounded literacy — not a random AI upload of her child’s chart.
PDFs and scans stay local. PII is detected and ready to mask.
ChatGPT, Claude, Gemini, Grok — 1T injects protected context.
She sees what’s masked, approves, and walks in prepared.
Every spring Tom pays an accountant largely for data entry — W-2s, 1099s, last year’s return into software he could use free, if he trusted himself. He doesn’t need a robot CPA. He needs confidence that the boxes match his forms.
SSNs and account numbers are masked before anything leaves.
SOTA model explains mapping using his protected forms.
DIY for simple returns — or bring exceptions to a CPA only.
Clipboard (or portal) forms, labs, then a short visit. Nothing changes. Apple Watch, sleep ring, and last year’s labs sit unused. Becky doesn’t want more forms — she wants a deep conversation about energy, sleep, and a way forward.
Years of signals in one private lockbox — not five apps.
SOTA model drafts a doctor-ready one-pager and intake answers.
Visit time goes to plan and partnership, not clipboard archaeology.
After years of living with parents and saving, Dipta and her husband found a home and locked a contract. Closing packet: dense, consequential, and new. Stress peaks at “time to sign.” They don’t need a free lawyer bot — they need implications, in plain language, from their documents.
Hundreds of pages — exactly why large local context matters.
Names, accounts, addresses masked; implications explained.
Comfortable signing — or a tight list for human counsel.
James coordinates meds, appointments, and insurance across hospitals and specialists. Papers multiply; continuity of care does not. He needs one private mind that holds the story — without uploading a parent’s life to the open web.
Multi-provider corpus in one local, family-controlled lockbox.
SOTA model holds the thread humans can’t keep in working memory.
Less chaos between visits; clearer questions for clinicians.
Priya has a competing offer. Vesting schedules, refreshers, and non-competes don’t fit in a LinkedIn post — and she won’t paste the packet into an anonymous tool. She needs a private side-by-side before she negotiates or signs.
Compensation docs stay local; figures never leave raw.
Frontier reasoning on redacted context — any model she prefers.
Clear framework + short list for counsel if needed.
Aisha runs a lean business. Invoices, contracts, and bank CSVs live in folders. She wants a calm quarterly read — cash, clients, risk — without uploading the whole company into another cloud AI product.
PDFs and CSVs as they are — no special pipeline training.
No tokens or RAG talk. Just “what’s going on?”
Bookkeeper / advisor gets a clean brief, not a data dump.
Sam’s claim was denied. The policy is a maze; the denial letter is vague; the medical notes are dense. Winning an appeal needs structured argument and patience — and zero appetite for pasting PHI into a random chat.
Policy + denial + clinical proof — all local, all sensitive.
Model builds arguments from redacted sources you control.
Stronger letter, clearer doctor ask, optional human advocate.
The best AI in the world already lives in public products — Claude, GPT, Gemini, Grok. Your company still needs contracts, client names, roadmaps, and HR files to stay yours. 1T is how those two truths finally coexist.
Most enterprises either ban public AI, accept shadow IT pastes, or pay a private-model tax that lags SOTA by months. 1T opens a third path.
Frontier reasoning, rapid model upgrades, tools people already love. No waiting for a private deployment to catch up. Use the best model this week.
Contracts, decks, CRM notes, and people data stay in a local lockbox. Names, emails, account IDs, and secrets are masked. Employees approve every send. IT gets a control story; teams get superpowers.
Every role already has a folder full of truth. 1T turns it into private context for public models — without building a new chatbot.
Omar ships client work on tight timelines. The answers are usually in last year’s SOW, the current MSA, and a messy folder of prior decks. Public AI would help overnight — if legal wouldn’t have a heart attack.
Per-conversation selection — no whole firm dump.
Client names and commercial terms masked on the wire.
He saw what left. Legal gets a control story, not a ban.
Lena’s team has years of discovery docs, PRDs, and win/loss notes. Onboarding is slow because the truth is fragmented. She wants SOTA synthesis without uploading strategy to a vendor’s training corpus narrative.
Years of docs — life-scale context at work.
No RAG lecture. Just “what did we learn?”
Execs and new hires get clarity without archaeology.
Chris has a big call at 2pm. The account history is in Salesforce exports, email PDFs, a security questionnaire, and last year’s proposal. He needs a battle card and risk list — not a data leak.
Only this opportunity’s files — selection is the control.
Emails, domains, deal values protected before send.
SOTA polish on private truth — not generic sales copy.
Nora is asked daily: “Can we use this tool?” “Does this clause match policy?” The answers live across binders and SharePoint. She wants public-model speed with a privacy story her CISO will sign.
Authoritative docs only — not the whole company drive.
SOTA compares clauses; sensitive IDs stay masked.
1T accelerates counsel — it doesn’t practice law alone.
Jordan fields the same questions every week. The handbook is long; managers need draft emails; offers need consistency. Employee data is the most sensitive corpus in the company — and the most tempting to paste.
Authoritative HR docs — minimize individual PII in context.
Names, emails, IDs never leave unmasked.
Consistent answers without turning ChatGPT into the HRIS.
Board week is a fire drill of decks, metrics, and narrative. Leadership wants frontier synthesis. The board pack is some of the most sensitive material the company owns. 1T is how public models meet private governance.
Only leadership-selected files — not the entire company drive.
Review-before-send is the governance control that matters.
SOTA narrative help; humans own the boardroom truth.
“The power of public models. The privacy of business.”
“Stop banning SOTA. Start controlling what leaves.”
“Use Claude or GPT tomorrow — on your contracts, not their training hopes.”
“Not a new chatbot. A lockbox for the ones you already love.”
Forms, timelines, prior filings — PII-heavy journeys you simply cannot casually upload.
Notes, papers, and transcripts for applications — large corpus, model choice, personal IP stays yours.
Settlement drafts, wills, asset lists — highest privacy bar, highest implication.
Years of decks, PDFs, and meeting notes as a second brain — query without sending client names raw.
Board models, cohort sheets, and commentary drafts with figures masked on the way out.
Runbooks + account history for escalations without dumping tickets into a public chat raw.
Health, money, home, clients, IP, people data.
Many files, years, formats. Hard for a human to hold at once.
Afraid to upload — or afraid of acting without understanding.
Local lockbox → mask → frontier chat → user-approved send.
Better visit, deal, board, or filing — not false certainty.
“Prepare for the doctor like a pro — without sending your chart to the cloud.”
“Your forms already know the answers. 1T helps you use them.”
“Understand the stack before you sign the stack.”
“Any frontier model. Your documents. Your rules.”
“SOTA power. Zero tokens, windows, or pipelines to learn.”
“Public model power. Business privacy. Finally in the same sentence.”
1T 