Companies that sell what teams need to train, serve, evaluate and monitor models. It has no schema of its own: companies here are mapped on the AI model developers and AI products schema, and what it does not cover is recorded as gaps.
Baseline
AI model developers and AI products v1
Inherited from
AI model developers and AI products
Mapped on the schema
0 of 0 placed here
Primitives
60 in 8 parts
Last updated
3 Nov 2026
Deepen this industry
Focused research on the organizations with the fewest mapped parts in machine learning and ai developer tooling; what it finds is public for everyone.
Which models and AI products are offered, to which developers, businesses or consumers, and why they choose them.
0
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Pipeline generation
lead_generation
Demand: winning customers
Process
Inbound, outbound, partners and free sign-ups that put qualified buyers in front of sales.
1
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Sales
sales
Demand: winning customers
People
Self-serve checkout, inside sales or field sales, by deal size.
2
—
Packaging and pricing
pricing
Demand: winning customers
Decisions
Plans, seats, usage tiers and add-ons, and the discount rules around them.
2
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Quotes and order forms
quoting
Demand: winning customers
Process
The priced offer a buyer signs, with plan, term and seats.
0
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Subscription agreements
contracts
Demand: winning customers
Decisions
Terms of service, order forms, service levels and data processing terms.
0
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Model and product design
offer_design
Supply: making or delivering the offer
Process
What the models can do, which sizes and modes exist, and how products are built on top of them.
0
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Sprint and capacity planning
planning
Supply: making or delivering the offer
Process
Which engineers work on what, sprint by sprint.
0
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Compute and data purchasing
procurement
Supply: making or delivering the offer
Process
Buying accelerator capacity, cloud contracts and licensed data the work depends on.
0
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Compute, cloud and data partners
suppliers
Supply: making or delivering the offer
People
Chip vendors, cloud providers, data licensors and labelling contractors the company depends on.
0
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Model access and service
delivery
Supply: making or delivering the offer
Process
Serving models to users through apps, an API or private deployments.
0
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Output quality review
quality
Supply: making or delivering the offer
Process
How model answers are sampled, graded and fed back into training.
0
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Code, infrastructure and licences
inventory
Supply: making or delivering the offer
Data
The code base, cloud resources and third-party licences the product runs on.
0
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Provisioning
logistics
Supply: making or delivering the offer
Process
How a new account, tenant or seat gets switched on.
0
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Uptime and incidents
uptime_incidents
Supply: making or delivering the offer
Process
Monitoring, on-call, incident response and the post-incident review that stops a repeat.
3
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Compute capacityPremium
compute_capacity
Supply: making or delivering the offer
Data
Included for Members
Members
Members
Training data acquisition and licensing
training_data
Supply: making or delivering the offer
Data
Where training data comes from, under which licences or terms, how it is filtered, and how rights are recorded.
0
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Pretraining and fine-tuning runs
model_training
Supply: making or delivering the offer
Process
Planning, running and monitoring the training jobs that produce each model, from pretraining to post-training.
0
—
Evaluation and red-teaming
evaluations
Supply: making or delivering the offer
Process
Benchmarks, internal tests and adversarial testing a model passes before and after it is released.
1
—
Model release and versioning
model_releases
Supply: making or delivering the offer
Decisions
Who decides that a model ships, how versions are named and retired, and how users are told about changes.
0
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Inference servingPremium
inference_serving
Supply: making or delivering the offer
Software
Included for Members
Members
Members
Developer and enterprise onboarding
customer_onboarding
Customers: keeping them
Process
From an API key or signed contract to a working integration.
0
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Customer support
support
Customers: keeping them
People
Tickets, chat and help centre, by tier and plan.
2
—
Customer success
account_management
Customers: keeping them
People
Who owns the account after the sale, drives adoption and spots risk early.
0
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Customer data
customer_data
Customers: keeping them
Data
What is known about each customer.
0
—
Renewals
retention
Customers: keeping them
Process
How subscriptions are renewed at the end of each term.
0
—
Churn and expansionPremium
churn_expansion
Customers: keeping them
Data
Included for Members
Members
Members
Invoicing
billing
Money: getting paid and paying
Process
Invoices for annual and enterprise contracts.
0
—
Collections and receivables
collections
Money: getting paid and paying
Process
Turning claims into cash.
0
—
Payments and payables
payables
Money: getting paid and paying
Process
Paying suppliers and partners.
0
—
Payroll
payroll
Money: getting paid and paying
Process
Paying people.
0
—
Revenue recognition and close
accounting
Money: getting paid and paying
Software
The ledger, deferred revenue and the month-end close.
0
—
Plan and burn
budgeting
Money: getting paid and paying
Decisions
The operating plan, hiring plan and cash burn.
1
—
Cash and treasury
treasury
Money: getting paid and paying
Data
What the company has and owes.
0
—
Subscription billing
subscription_billing
Money: getting paid and paying
Software
Recurring charges, upgrades, proration, usage metering and failed-payment recovery.
2
—
Unit economics
unit_economics
Money: getting paid and paying
Data
What it costs to win and serve a customer against what the customer is worth.
3
—
Usage pricing and meteringPremium
usage_pricing
Money: getting paid and paying
Decisions
Included for Members
Members
Members
Org structure
org_structure
People: who does the work
People
Teams, roles and reporting lines.
0
—
Hiring
hiring
People: who does the work
Process
How people join.
0
—
Onboarding and training
training
People: who does the work
Process
How people become productive.
0
—
Performance and pay
performance_pay
People: who does the work
Decisions
How people are reviewed and rewarded.
0
—
Scheduling and capacity
capacity
People: who does the work
Process
Who is available when.
0
—
Policies and culture
people_policies
People: who does the work
Decisions
The rules people work under.
0
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Core system of record
system_of_record
Systems: tools and data
Software
The main tool the business runs on.
0
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Communication tools
communication
Systems: tools and data
Software
How people talk.
0
—
Integrations
integrations
Systems: tools and data
Software
Which tools exchange data without re-keying.
0
—
Metrics and board reporting
reporting
Systems: tools and data
Data
Recurring revenue, retention and pipeline metrics, and who sees them.
0
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Data management
data_management
Systems: tools and data
Data
Where records live and who owns them.
0
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Security and access
security
Systems: tools and data
Decisions
Who may see and change what.
0
—
Licences and registrations
licensing
Control: rules the company runs under
Decisions
What the company must hold to operate.
0
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Organizations: how many of the 0 organizations mapped in public on Machine learning and AI developer tooling and below have a sourced part on the primitive. Primitives are matched by key, so organizations on earlier versions count.