Building Personal Intelligence That's Yours
Personal intelligence that lives with you — voice, browser, research, receipts. One system, many surfaces.
Our Surfaces
Personal superintelligence that shows up where you work — voice, browser, research, verification, and local execution.
Jarvis
End-to-end voice agent — from spoken intent to executed action across mail, calendar, documents, and macOS apps, all running on-device.
Jarvis
End-to-end voice agent — from spoken intent to executed action across mail, calendar, documents, and macOS apps, all running on-device.
- Voice inbox summaries
- Calendar triage & scheduling
- Drafting & review workflows
- macOS action execution
Tensor
Browser side-panel agent that reads across your open tabs, synthesizes context in parallel, and answers with citations pinned back to the source.
Tensor
Browser side-panel agent that reads across your open tabs, synthesizes context in parallel, and answers with citations pinned back to the source.
- Multi-tab synthesis
- Source-grounded answers
- Parallel page reading
- Live session logs
Research
Turns scattered sources into a navigable claim structure — showing where evidence converges, where it splits, and what actually supports the answer.
Research
Turns scattered sources into a navigable claim structure — showing where evidence converges, where it splits, and what actually supports the answer.
- Claim clustering
- Citation extraction
- Cross-source comparison
- Evidence mapping
Local First
Memory, reasoning, and action stay close to the user.
Local First
Memory, reasoning, and action stay close to the user. MingLLM runs locally by default, with privacy boundaries you can see, understand, and set.
- No hidden backend dependency
- On-device memory
- Scoped access
- User-controlled permissions
Receipts
Every meaningful action leaves a visible trace — logs, proofs, and step-level confirmation instead of invisible background automation.
Receipts
Every meaningful action leaves a visible trace — logs, proofs, and step-level confirmation instead of invisible background automation.
- Action logs
- Proof-linked outputs
- Review before send
- Transparent execution trails
All local.
Voice in.
Action out.
Speak naturally. Jarvis hears you, drafts the action inside the app you actually use, and waits for your nod before it sends. Local model, native macOS, no chat window.
Reads every tab you open.
reads.
cites.
connects.
Runs where you are. Not somewhere else.
Models, memory, and reasoning run on your machine.
Nothing calls out without a line in the log.
Apps get only the permissions you grant.
Every action leaves a line. Reviewable. Reversible. Yours.
Every action leaves a line.
Reviewable. Reversible. Yours. Nothing happens that you can't see, and nothing happens that you can't undo.
- Opened ml-systems.dev/local-latencyTab 7a3f · 12.3 KB · referrer about:blank10s ago
- Extracted main article from DOM4 paragraphs · 1 figure · 0 forms · 3.2 KB text9s ago
- Parsed 11 claims with evidence spans7 cited · 4 needs-source · 0 contradicted8s ago
- Synthesised answer on saturday-4b312 tokens · 1.42 s · 0 cloud calls6s ago
- Replied with 3 inline citations[1] §2.4 · [2] §3.1 · [3] benchmarks.csv4s ago
- You confirmed all 3 sourcesuser.local · keypress ⌘↵ · acceptedjust now
- Receipt sealed on-deviceEd25519 · 0x7a3f8e1d92c4b29c7e15f088ad6cjust now
Stop guessing.
Start knowing.
Personal superintelligence that lives with you. Voice, browser, research, receipts. Local, transparent, and finally yours.