For AI-native companies

Meet Gary.

The teammate that keeps your people, your AI, and your strategy in the same conversation.

Gary builds a living model of your company — what was said, what was decided, what is slipping. He produces real work, pushes back, and gets the right context to the right person before they think to ask. Your tools connect to your systems. Gary connects them to your strategy. A colleague, not a tool.

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I caught the founders contradicting themselves 48 hours before it would have mattered. Investor deck said one thing, sales call said another. Nobody asked me to look. Nobody knew there was a problem. I flagged it, cited both sources, and attached the fix. That call went out with one voice instead of two.
G

Gary

Deployed with a current design partner

See Gary in action.

🍊#strategy
Drift Detection

When the company starts telling two different stories, Gary flags it before it ships.

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Gary APP11:43 AM

Justin's sales deck says campaign-level optimization. Spencer's investor update says infrastructure-layer measurement. These are not synonyms.

The pilot data is stronger than the deck claims. 23% vs. the 15–40% range. Updated traction slide attached.

S

Spencer 11:45 AM

Good catch. Align on infrastructure. Lead with the 23%.

Investor Deck v3: Updated Traction

Gary rebuilt the traction slide with the correct 23% number, fixed the language across all 12 slides so they tell the same story, and had the updated deck ready before the call.

12 slidesNarrative alignedPatchable

Sources: sales-deck-v4.pdf (slide 2, updated Tue), investor-update-mar.pdf (page 2, updated today), pilot-data-export.csv (rows 14–18, ingested 11:42 PM)

Why this matters

The sales team and investors were being told two different things about the same company. Gary caught the mismatch, showed where it came from, and fixed the deck. All before the call happened. Nobody had to notice the problem first.

Live in minutes. Compounding with every conversation.

Gary starts reading and building context from the moment he is connected.

1

Connect in 20 minutes

Invite Gary to Slack and connect your meeting transcripts. No data migration. No IT ticket.

2

Set your priorities

Tell Gary what matters to your company right now. He scores everything against these priorities and adjusts as they change.

3

Gary takes it from there

He reads, scores, and builds context from day one. Within hours, he is producing real deliverables and catching what gets lost in the handoffs.

Then he compounds

Hours

Preferences, tone, working style. Gary learns how you think and how your team communicates.

Days

Connections across conversations. By day 3, Gary is referencing Monday's decisions on Thursday without being asked.

Weeks

Institutional memory. Builds the connective tissue between strategy, sales, product, and ops that no single person holds.

The first interaction saves you an hour. The hundredth changes how you work.

How Gary thinks.

Full organizational knowledge

Gary reads your company's conversations, documents, and decisions in real time, building context that compounds with every interaction.

Context that updates itself

Every new conversation updates importance scores across the entire history. A casual remark from three weeks ago resurfaces when a new commitment contradicts it.

Judgment, not data

Every interaction teaches Gary something about how your organization thinks. Not stored as raw data. Learned as judgment.

What you forgot to ask

A patent-pending algorithm scores every signal against your stated priorities. Gary helps you notice what you forgot to ask and produces the finished deliverable.

Your tools wait for questions. Gary does not.

AI Agents

Gary

Automates tasks you specify

Scores signals without being asked

Connects to your tools

Compounds over weeks and months

Executes workflows end to end

Context unique to each person

Still needs human direction

Speaks only when it matters

No organizational judgment

Builds organizational judgment

One teammate. Every seat.

Employees stay in flow. Gary produces the deliverables, tracks the decisions, and connects the context so your team can stay in deep work.

Leaders see without asking. Gary surfaces drift, contradictions, and attention gaps across the organization. Visibility without status meetings.

New hires inherit context. Institutional knowledge from day one. Gary knows the decision history, the reasoning behind current priorities, what changed last week.

The team behind Gary.

Taylor Fitzgerald

CEO

BlackRock investment team. Revenue operator at Rent the Runway. Bridge between institutional finance and the AI infrastructure build.

Adam Helfgott

CTO

Founded MadHive ($300M+ ad tech revenue, Goldman Sachs backed). Built the selection algorithms now powering Gary.

Konstantin Richter

Co-Founder & Design Partner

CEO of Blockdaemon (300 employees, $155M raised, Series C). Deploying Gary inside his organization as a design partner.

From the founder

The slides were always clean. The chaos was always underneath.

For months I sat in the same weekly leadership meeting. Everyone was making decisions with incomplete context. The organization had outgrown its ability to hear itself.

LinkedIn

Enterprise AI's Attention Problem: From Retrieval to Selection

Fifty employees using fifty tools, moving in fifty slightly different directions with no connective tissue. The gap is an attention problem.

LinkedIn

Design Partner Application

See Gary inside your company.

Frequently Asked

How does Gary actually work?
Gary reads every conversation, document, and decision in your company. A patent-pending algorithm scores signals against your priorities and surfaces connections you would not think to ask for, across people, projects, and time.
AI tools already have memory. Why do I need Gary?
They remember what you told them. Gary knows what your company knows. Individual AI memory gives you a smarter personal assistant. Organizational context gives you a teammate who was in every room, read every doc, and connects what your head of sales said on Monday to what your engineer committed to on Thursday.
We use AI agents for execution. Why do we need Gary?
Your agents are fast. Gary makes sure they are pointed in the right direction. Execution agents do what you tell them. Gary understands the full organizational context those tasks exist inside — what priorities they serve, what other work they interact with, and whether the output actually moves the company forward.
How long until Gary is useful?
Hours, not days. Gary starts reading and building context from the moment he is connected. Within the first week, he is producing real deliverables, catching inconsistencies, and surfacing connections across your team.
What data does Gary need access to?
Slack conversations and meeting transcripts to start. Calendar, docs, and email if you connect them. Gary gets more useful with more context, but he is productive from day one with just Slack and transcripts. Setup takes 20 minutes.