Segments.ai · FinOps Profile

Segments Ai Finops

FinOps view of Segments.ai spend. Segments.ai bills as an annual platform subscription whose primary cost driver is labeling-hours consumed per year (Core, Fusion, Enterprise tiers), with unlimited seats and projects. The REST API and Python SDK are not separately metered, so API-side cost optimization focuses on controlling how much paid labeling work is generated - dataset scope, sample volume, prelabeling/active learning to reduce manual hours, and reuse of releases - rather than on per-call charges.

Segments Ai Finops is the FinOps profile for Segments.ai on the APIs.io network, aligned with the FinOps Foundation Framework.

It defines 4 billable meters, billed in USD, on a annual cycle, and pricing category subscription-based.

The profile maps 8 FOCUS columns for cost-allocation reporting.

Tagged areas include Data Labeling, Computer Vision, Point Cloud, Annotation, and Machine Learning.

Category: AI and Machine Learning Pricing: Subscription-Based Billing: Annual FOCUS v1.3
Data LabelingComputer VisionPoint CloudAnnotationMachine LearningFinOpsCost ManagementFOCUS

Framework Alignment

Framework
FinOps Foundation Framework
Data Spec
FOCUS v1.3

Charge Categories

UsagePurchaseAdjustment

FOCUS Columns

BillingCurrency
USD
ChargeCategory
Usage
InvoiceIssuerName
Segments.ai
PricingCategory
Subscription-Based
ProviderName
Segments.ai
PublisherName
Segments.ai
ServiceCategory
AI and Machine Learning
ServiceName
Segments.ai

Meters

annual_subscription
Unit: subscription
Annual platform subscription fee for the selected plan tier (Core, Fusion, Enterprise).
labeling_hours
Unit: hours
Labeling-hours consumed against the annual usage allotment; the primary variable cost driver.
points_per_cloud
Unit: points
Point count per point cloud processed; capped per tier (e.g., up to 500,000 on Core).
stored_assets
Unit: assets
Images, point clouds, and multi-sensor sequences uploaded to Segments.ai-managed storage.

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