Pixel / Enterprise infrastructure

PIXELThe AI Operating System
for the Enterprise.

Any model.
One enterprise context.

Explore Adaptive Explore Cadence

The company is becoming computable.

01 / Intelligence without context

AI is getting smarter.But it still doesn’t understand the enterprise.

Enterprise systems such as GitHub, CRM, ERP, meetings, documents, databases and people sit as disconnected islands. Each AI model reaches only a fragment, and none of them share a representation of the organization.

GPTClaudeGeminiGrokOpen Models
GitHub
CRM
ERP
Meetings
Documents
Databases
People

Models can see fragments. They do not share a living representation of the organization.

  • What is happening?01
  • What happened before?02
  • Who is involved?03
  • What am I allowed to know?04
  • What am I allowed to do?05
  • What company policies apply?06

The next bottleneck in enterprise AI isn’t intelligence.

It’s
context.

02 / The Enterprise Intelligence Layer

Meet
Adaptive.

The intelligence layer between your enterprise and every AI.

03 / Enterprise Context Engine

Models know the world.Pixel learns how your company works.

Enterprise context graph connecting people, projects, customers, meetings, tasks, decisions, policies, permissions, systems and goals into a continuously evolving enterprise state.

  1. Customer
  2. Project
  3. Meeting
  4. Decision
  5. Requirement
  6. Task
  7. Agent
  8. Action
  9. Outcome
ENTERPRISE STATE

Every relationship remains connected.

Enterprise State

A continuously evolving operational representation of your organization.

04 / Retrieval and operational context

Beyond retrieval.

RAG remains useful. Enterprise context answers a different, operational question.

RAG

“What documents are relevant?”

Documents
Search
LLM

Enterprise Context

“What is happening in the company?”

PeopleProjectsCustomersDecisionsPoliciesSystemsHistory
Enterprise StateAI

05 / Governed execution

From context
to action.

AI can act. But the enterprise stays in control.

Command stream / px-runtime-01

  1. 01get_customer_context("Acme")
  2. 02get_project_state("Atlas")
  3. 03search_decisions("pricing")
  4. 04create_task({ owner, intent })
  5. 05update_crm({ opportunity })
  6. 06request_approval({ action })
  7. 07deploy_code({ change })

Governance gate

  1. 01
    Identity
    ✓
  2. 02
    Permission
    ✓
  3. 03
    Policy
    ✓
  4. 04
    Approval
    ✓
  5. 05
    Action
    →
  6. 06
    Audit
    ✓

Governedautonomy.

06 / The human operating environment

CADENCE

Where humans and AI agents work together.

Product management that understands your code — and brings AI agents into the work.

TASK / CAD-184
In progress

Implement subscription cancellation flow

ContextRequirementsCodeDependenciesDecisions
  1. 01Human creates intent
  2. 02Cadence understands context
  3. 03Story enriched
  4. 04Agent executes
  5. 05Human reviews
  6. 06QA Agent validates
  7. 07Done

Assigned

MA

Marina

Product Manager

CA

Coding Agent

Implementation

QA

QA Agent

Validation

One team.

Humans+Agents.

07 / Product architecture

Infrastructure below.
Work above.

Adaptive is the infrastructure.

Cadence is the first operating environment built on it.

Layer / 01PIXELAI Operating System for the Enterprise
Layer / 02ADAPTIVEEnterprise Intelligence Layer
Layer / 03CADENCEHuman + Agent Operating Environment
Your Applications
Custom Agents
Future Pixel Products

08 / Model agnostic by design

Models will change.Your enterprise context shouldn’t.

Replaceable model

GPT
Persistent assetENTERPRISE
CONTEXT

Any model.One enterprise
context.

09 / The enterprise flywheel

Every interaction makes your enterprise context more valuable.

Actions produce outcomes. Outcomes become decisions and memory. Memory makes the next action better.

Models learn about the world.

Pixel learns how your company works.

10 / In production

Running insidereal companies.

Every engagement adds operational context: systems, decisions, people and the way each company actually works.

  • 01

    Fundamentos Tecnologia

    Digital infrastructure

    AI datacenter and inference layer

  • 02

    Be180

    Out-of-home media

    Planning platform, asset bank and agents

  • 03

    Like:Me

    Consumer product

    Product engineering running on Cadence

  • 04

    Café Orfeu

    Specialty coffee

    Enterprise context assessment

  • 05

    Banana Brasil

    Food and retail

    Adaptive Layer over existing systems

11 / Vision

Every enterprise
will have
an AI workforce.

Those agents may come from OpenAI, Anthropic, Google, xAI, open-source models — and companies that don’t exist yet. They will all need to understand the same company.

PIXEL

The AI Operating System
for the Enterprise.

Any model. One enterprise context.

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Pixel — The AI Operating System for the Enterprise