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Argus

Your noise, structured. Your signal, surfaced.
Personal Intelligence  ·  by taussig.ai  ·  Private beta 2026
Why it matters
You lead across more complexity than ever before.
The signal is in your noise. Argus finds it.
Every email you half-read, every thread you didn't have time to process, every meeting you meant to review -- Argus has been absorbing. When you need to know, it already does.
argus by taussig.ai  ·  Named for Dr. Helen Brooke Taussig  ·  "Learn to listen with your fingers."
0
Days of context
on day one
0
Graph nodes
indexed
<10m
Time to first
answer
Any AI
Claude, GPT,
whatever's next
The condition

You lead across more complexity than ever before.

The Ascended Expert

They earned their leadership through deep expertise in one domain. Beyond that they navigate on instinct and bandwidth they don't have. The anxiety isn't imposter syndrome -- they genuinely don't know what they don't know outside their lane. And the volume of noise means even signals within their lane get missed.

The Expanding Executive
Brief has grown dramatically. Focused on the new part of the portfolio. Genuinely worried they aren't across the prior stream. Reading less. Skimming more. Hoping.
The Project Lead
Slack unified their comms. What it actually did was consolidate noise into a single channel. The thread from Tuesday had the dependency. It was there. It always was.
The Department Head
Hundreds of signals across the team. One contains an implicit flag that becomes a real problem. They read it. They just didn't register it.
What they've tried

Everything they've reached for has failed them.

Search
Finds keywords, not context
Retrieves the document. Not the decision. Not the relationship. Not the implication buried three threads deep. Requires you to already know what to look for.
Better filing
Another thing to maintain
Folders, labels, Notion records. Helps with retrieval for things you knew mattered. Does nothing for the signal you didn't know to look for.
Aggregators
Noise with better UX
Slack promised to unify. It consolidated noise into a single channel and added a notification badge. Every new tool that promises to help creates another attention demand.
AI assistants
Capable reasoning, no inputs
Extraordinary reasoning. Working from a fragment of what it needs. You brief it on your own life. Every. Single. Time. The output is only as good as the context you remembered to provide.
The problem isn't intelligence. It's context.
Why now

Three forces converging. One window.

01 · The problem is worse
Tool proliferation has hit its breaking point
Every new tool promises to unify. Every new tool creates another island. The noise problem is structurally worse than it was three years ago and accelerating.
02 · The protocol arrived
MCP is the standard. The infrastructure exists.
For the first time there is a standard, engine-agnostic way to put your context into any AI tool. Anthropic, OpenAI, Google, Microsoft, Amazon have all adopted it. The infrastructure that makes Personal Intelligence deliverable now exists.
97M monthly SDK downloads · Linux Foundation standard
03 · The engines are ready
AI can now do something useful with rich context
A year ago you could have built the corpus. The engines couldn't reason over it properly. That gap is closed. The models that exist today can take a richly structured knowledge graph and produce answers that were previously impossible.
The noise problem · the protocol · the capability · converge now
Personal Intelligence

Structures noise. Surfaces signal.

Phase 1 · Now
The context layer your AI has been missing
Absorbs your digital life -- email, calendar, documents, messages. Builds a continuously-evolving knowledge graph.

Plug into any AI via MCP. Your prompts arrive with curated context. Engine-agnostic. Your data never leaves your control.
"Your noise, structured. Your signal, surfaced."
ARGUS CORPUS
Phase 2 · Roadmap
Personal Intelligence with hands
You operate across Jira, TeamWork, Asana, Slack, email -- all at once, none of them talking. Argus synthesises them into a single view of what matters.

You respond once. Argus knows the consequential updates and takes them -- across every system the decision touches.
Collaboration tools are designed for the collective. They impose collective structure on you. Argus inverts this. Everything organises around you.

The corpus is already live. The intelligence layer is next. The agent layer -- the one that acts -- is the natural completion of the system.
How it works

Three steps. Nothing changes about how you work.

01
Absorbs
Connects to your digital life -- email, calendar, documents, messages, photos. Source-agnostic. Always on. Always current. Nothing for you to file, tag, or maintain.
02
Structures
Builds a hybrid knowledge graph -- explicit relationships (this person, this project, this decision) and semantic associations (the connection no query would have found). The graph evolves with every message, every action.
03
Surfaces
Exposes curated context via MCP to any AI engine you use. Your prompts arrive already enriched. You ask a normal question. Your AI answers with the full picture -- because Argus gave it the context that was always buried in your noise.
Absorb · Structure · Surface · Signal, not noise
In practice

Context that was always there. Finally structured.

argus -- mcp · query session
→ ask "Who was involved in the Q3 pricing decision?" // Querying knowledge graph · 38,491 nodes · 6.2 years indexed   Cross-referenced 4 threads · 2 calendar events · 1 Drive doc   You, Marcus Chen, and the board made the final call on 18 Nov. Marcus pushed for a 12% lift. You held at current rates pending the Jan review. Contract updated 19 Nov -- Drive doc linked.   // Without Argus: "I don't have access to your emails."   →
Traction

The thesis has already held in production.

V1 ran in production for a month against a publicly listed company's ERP go-live -- one of the highest-noise, hidden context environments imaginable. Used daily. Not demoed. The thesis held.
  Founder validation · April 2026
  • Strategy locked. Positioning, ICP, competitive landscape, architecture decisions.
  • 27-agent build system active. Three teams: GStack (core engineering), K-Dense (ML/graph), Trail of Bits (security).
  • Sprint 1 in progress. Graph schema, connector architecture, security framework.
  • Founding cohort. Early access waitlist open.
Building in private. Shipping when it's right.

Not locked to one vendor.
Not owned by a platform.
Not another tool taxing your day.
Yours.

Your noise, structured. Your signal, surfaced.

You're in. We'll be in touch.
No spam. No noise. Just signal.
argus by taussig.ai
Named for Dr. Helen Brooke Taussig  ·  "Learn to listen with your fingers."
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