Contexous

Turning AI agents into employees.

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Humanity is at the beginning of
a storm we enthusiastically invented.

1b

2025 — 2026

AI Is Replacing
The Human
Workforce

165,000+ tech jobs eliminated.
1,064 companies. And it's only April.

2

JOB CUTS — LAST 12 MONTHS

48K UPS
30K Amazon
30K Oracle
24K Intel
20K Citigroup
15K Microsoft
12K TCS
11K Accenture
5K Salesforce
8K Meta

+ Pinterest, HP, Chegg, CrowdStrike, Workday, Atlassian, Block, Google Cloud, and hundreds more.

As of April 2026

SOFTWARE MELTDOWN — YEAR TO DATE

-64% Atlassian
-58% Asana
-58% monday.com
-53% Doximity
-50% Figma
-49% HubSpot
-49% Duolingo
-48% GitLab
-47% Workday
-47% Trade Desk
-45% Intuit
-45% MongoDB
-45% Klaviyo
-42% ServiceNow
-40% Snowflake
-40% Elastic

The writing is on the Wall Street.

Source: YTD stock performance, April 2026

THE INDUSTRIES BEING DEVOURED

75% Programming tasks
70% Customer service
63% Knowledge work
60% Advanced economy jobs
50% Accounting roles by 2028
47% U.S. jobs automatable
40% Workforce needs reskilling
300M Jobs affected globally

Anthropic warns of a "Great Recession for white-collar workers."

Sources: Anthropic, Goldman Sachs, IMF, WEF, McKinsey — 2025/2026

3

Fear.

Urgency.

Every business is asking:
How do we retain our value?
How do we employ AI agents?

Every employee is asking:
"Will I still have a job?"

4

Everyone is looking to adopt AI
to better their position.

But they are throttled.

There's a memory limit to each conversation,
and there's no meaningful memory
continuity between them.

5

Do you have an AI agent you'd build a lasting relationship with?

Why not?

The problem

No memory continuity.

No companion. No assistant. No employee.

5b

Imagine hiring two geniuses with amnesia.

Every day they must relearn everything from scratch.

The First Genius

Brings a laptop to work. Summarizes what he learns each day. Every morning, reads everything before starting.

Knowledge compounds.

Becomes an employee.

The Second Genius

Comes in every morning with nothing. Relearns the same things. Makes the same mistakes. Can never build on yesterday.

A one-shot tool.

Gets fired.

6

A Property Manager and 2,000 Units

Marc manages 2,000 rental apartments across three cities. Every unit has a tenant, a contract, a maintenance history.

With Contexous

  • A context per property with full tenant profile
  • Knows the plumber was called twice last month
  • Drafts renewals using actual lease terms
  • 2,000 agents. 2,000 employees. One platform.

Without Contexous

  • Drafts emails one at a time, from scratch
  • Manually looks up each tenant's situation
  • AI is a typist, not a manager
  • Doesn't know lease terms or
    communication history

Which one would you prefer? The one that knows? Or the one that doesn't?

7

A context loads at the start of
every session.

The agent receives its
knowledge and identity.

Jobs

Wakes with full context.
Runs a predefined task.

Goals + Heartbeats

Pursues an objective autonomously
until achieved.

From Agents to Employees.

A conversation with an agent is powerful.

Load it with context and now you have identity, knowledge, continuity and focus.

Schedule a job for this agent and you have an employee.

Documents

Created and updated by the agent itself

Inheritance

Documents from parent contexts flow down

Session Summaries

X past session executive summaries load

Dynamic Data

3rd party real time performance data load

= 1 Context

The smartest and most capable
person in the room.

9

Jobs

Wakes with full context.
Runs a predefined task.

Goals + Heartbeats

Pursues an objective autonomously
until achieved.

From Agents to Employees.

A conversation with an agent is powerful.

Load it with context and now you have identity, knowledge, continuity and focus.

Schedule a job for this agent and you have an employee.

Remote Access

Every context, in your pocket.

Privileges

Granular control, per user and per tool.

At Scale

Hundreds of agents in parallel, all with full context.

You are in control.

10

Intelligence is a commodity.
Everyone wants to employ it.

Very few can.

One-shot tool → Companion → Assistant → Employees

The gap is the market. And the first to crack it wins.

11

Business

use case.

A live customer deployment running on Contexous in production.

10.1

Goals +

Heartbeats

Demo.

An agent pursuing a goal autonomously — working until it’s achieved, no user prompts.

10.2

Why we win.

At load

The context recipe.

Documents

The agent writes its own.

Inheritance

Rules cascade down the topic tree.

Session summaries

Every prior session — self and siblings.

Dynamic data

Designed and ready for 3rd-party integration.

At run

The operational stack.

Jobs

The agent schedules its own.

Goals + heartbeats

Tethered. No goal, no heartbeat.

Agent-to-agent DMs

A network, not islands.

Hundreds of agents

Desktop and palm of your hand.

We cooked the best recipe for agent context.

This is what turns an agent into an employee.

11d

Once you're in, you don't leave.

Every interaction creates IP. By design.

Knowledge. Experience. Context.

The moment it exists — you can't let it go.

11f

Ask the context.

Loaded: About Contexous

Pricing, use cases, getting started — ask anything.

Or email gili@contexous.com directly.

C
Hey — welcome. Ask me anything about Contexous: how it works, pricing, what you can do with it, or how to get started.
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