Standard architecture: Machine learning and AI developer tooling

Workflows that drive an outcome from step to step. Process steps that hand work to each other.

Standard architectureThe parts at least half of the organizations in Machine learning and AI developer tooling have, as many as 7 of them run all together. Counted from public, sourced parts only; each organization below links to the parts it was counted on.

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Organizations running it: 7
Of their industry: 32%

The pattern

What every instance has, in order

Decisions
Market and positioning
in 100% of instances
then
Process
Lead generation
in 100% of instances
information
People
Sales
in 100% of instances
then
Process
Product or service design
in 100% of instances
then
Process
Customer onboarding
in 100% of instances
work
Process
Production or delivery
in 100% of instances
then
People
Customer service and support
in 100% of instances
then
Decisions
Data protection and security assurance
in 100% of instances

Coloured arrows: a flow of that type seen between the two at instance organizations. Grey arrows: order only.

Structure

Groups Layers Everything

Element

Share of instances

Companies

Integrations

57%

Variant · where they differ

Member

Variants, couplings and instances

Every level, number, source and dimension: Member, $300 a year.

See Member

Couplings · what comes together

Member

Variants, couplings and instances

Every level, number, source and dimension: Member, $300 a year.

See Member

Entropy

Where it runs rough

Operating-reality findings at instance companies: workarounds, manual hand-offs, bottlenecks.

Sales4 findings
Manual hand-off 3 · Informal channel 1 · at 4 companies
Production or delivery2 findings
Dependency 2 · at 2 companies
Suppliers and partners2 findings
Dependency 2 · at 2 companies

Seen across

Where it holds

Industries

Machine learning and AI developer tooling100%

Size

51-200 people14%

Region

United States29%
New York, NY14%
Redwood City, California (HQ); offices in New York, Shanghai, London, Berlin and Singapore14%
Remote-first; offices in Austin, San Francisco and London14%

Instances

The 7 companies it was seen at

Member

Variants, couplings and instances

Every level, number, source and dimension: Member, $300 a year.

See Member