8020/company — Enterprise AI Engineering & Deployment
Enterprise AI Engineering & Deployment

We turn enterprise context into proprietary intelligence.

8020/company builds and deploys proprietary AI systems inside large organizations. We turn your data, processes and accumulated context into operational leverage.

Find the leverage./ Build the intelligence./ Deploy it into the operation.

Model-agnostic by design. We build across the frontier and on your enterprise stack

Our thesis

Generalist models are becoming infrastructure. Advantage moves to context.

Enterprises have accumulated years, sometimes decades, of operational context: systems, databases, documents, internal software, workflows, decisions, teams and business units. We believe this context is one of the most valuable assets a company owns.

Large companies do not compete on access to the same models. They compete on their ability to combine those models with what rivals do not have: their data, processes, knowledge, behaviors and accumulated context.

Companies once built internal software to turn specific processes into advantage. A new generation will build its own layer of intelligence. 8020/company exists to build that layer.

  • Proprietary intelligence
  • Organizational context
  • Integration
  • Precision
  • Leverage
Enterprise context converging into structured intelligence
// context in → proprietary intelligence out
The operating principle

Three moves, repeated where they matter most.

01

Find the leverage

A small set of processes, decisions and bottlenecks drives most of the results. We locate them before writing a line of code.

02

Build the intelligence

We engineer specialized systems directly on your operational reality: models, agents and software shaped by your context.

03

Deploy into the operation

Intelligence integrated into real workflows, measured against real outcomes, and owned by the organization.

What we build

Full-stack AI engineering, deployed inside the enterprise.

We work at the intersection of AI engineering, automation, software and enterprise operations, in a forward-deployed model, close to your teams.

Specialized intelligence

  • Specialized models
  • Fine-tuning & customization
  • RAG & knowledge systems
  • Foundation-model orchestration

Agents & automation

  • AI agents
  • Multi-agent systems
  • Agentic workflows
  • Intelligent automation

Software & interfaces

  • Internal applications
  • Copilots
  • System integrations
  • Interfaces & hardware

Private deployment

  • Private & secure infrastructure
  • On-prem & VPC deployment
  • Open-source & proprietary models
  • Governance & observability
How we work

A forward-deployed engagement: embedded, precise, compounding.

leverage ↑ deployments →
01

Immerse

We embed with your teams to understand how the organization actually operates: systems, data, processes and constraints.

02

Find the leverage

Using the Pareto lens, we isolate the few points where intelligence and automation produce the greatest impact.

03

Build the intelligence

We engineer specialized AI systems on top of your context: models, agents, automations and software.

04

Deploy

We integrate the solution into the operation, measure it against real outcomes, and hand over ownership.

05

Compound

Each deployment becomes the foundation for the next leverage point. Intelligence that compounds over time.

~20%
→ 80%
~80%
→ 20%

// vital few inputs → majority of outcomes

Why 8020

The name is the method: the Pareto Principle.

In almost every organization, a small number of processes, decisions, bottlenecks or pieces of information is responsible for most of the results.

We do not apply AI indiscriminately across the company. We find where intelligence and automation produce the greatest impact, then concentrate engineering exactly there.

Positioning

Our territory is Enterprise AI Engineering & Deployment.

What we are
  • Builders of proprietary intelligence for the enterprise
  • Forward-deployed AI engineers, embedded in your operation
  • A company that builds, not one that only advises
What we are not
  • An automation agency
  • A traditional software house
  • A generic digital-transformation consultancy

Turn your context into leverage.

A short conversation is enough to find the first point worth building on.