Markets · bedrock market · provisional

MLOps and AI/ML Infrastructure (LF AI & Data, MLPerf, Kubeflow)

Standards market (lf ai & data landscape + membership, mlperf benchmark results, kubeflow distributions). The Kin Score Market layer reads each provider in its market: who it integrates with, how deep those integrations go, and where the market publishes its own structure. Methodology.

67providers measured
30 (44.8%)declare their own
21 (31.3%)covered by others only
6 (9.0%)distribution only (sell through, not integrations)
10 (14.9%)undeclared
26declare compatibility (report only, not weighted)
0in-market workflows shown
Provisional. Provisional and unweighted: the Market layer is not part of the composite or agent readiness. Leader lists are read within a position, never as one ranking. A provider that declares nothing we can read is shown as undeclared, with no number: we never infer integrations.

Where this market publishes its structure

Own = declares at least one integration itself; covered = visible only because an aggregator, standards body, regulator or partner contract names it; distribution-only = listed only on cloud marketplaces it sells through, a channel reported beside, never counted as its own declared integrations; undeclared = nothing we can read, so no number; declares_compatibility = providers with a `compatible` shape vote, report only (kin, 2026-10-13): never counted as own, never in depth or position.

Taxonomy how this market maps onto apis.io

Derived 2026-10-23 from the 67 providers in this market we could resolve in the catalog. The percentage is the share of those providers carrying each one; it describes the market, not the tag or industry. Tag groups have no page of their own yet, so they are listed unlinked.

TagsMLOps 48%, Open Source 24%, Inference 21%, GPU 21%
Tag groupsMLOps 54%, LLM 43%, Hardware 22%, Kubernetes 21%
IndustriesArtificial Intelligence 87%, Developer Tools & DevOps 40%, Semiconductors & Hardware 33%
AreasMachine Learning 70%
CapabilitiesInformation & Data Management 42%, Cybersecurity Management 22%

share of resolved cohort carrying it; tags >=0.20 & >=3 members (max 12, junk dropped), tag_groups >=0.20 (cooccurrence, non-cross-cutting; max 8), industries >=0.20 (max 6), areas >=0.10 (max 6; areas are keyword-matched and sparse), capabilities L1 >=0.20 (max 8); derive-market-taxonomy.py

Leaders by position (provisional)

Provisional: grouped by position, depth compared within a position only. Distribution (cloud marketplaces) and iPaaS bridges are counted beside position, never inside it. Unknown-builder listings are left out of position shares and counted here.

builds-on 15 · publishes apps on other platforms' stores

ProviderDepthIntegrationsIn / outUnknown builderDistributioniPaaS bridgeMix
JFrog 52.7 20 0 / 20 0 1 0 standard 30%, builds-on-platform 65%, distribution 5%
ZenML 51.7 6 0 / 6 0 0 0 standard 33%, builds-on-platform 67%
Modal 43.1 8 0 / 8 0 3 0 covered 25%, builds-on-platform 38%, distribution 38%
TrueFoundry 42.8 7 0 / 7 0 1 1 ipaas-bridge 14%, standard 14%, builds-on-platform 57%, distribution 14%
DataRobot 42.7 7 0 / 7 0 3 0 contract 14%, builds-on-platform 43%, distribution 43%
Astronomer 42.5 10 0 / 10 0 4 0 builds-on-platform 60%, distribution 40%
Paperspace 42.5 5 0 / 5 0 1 0 covered 20%, builds-on-platform 60%, distribution 20%
Dataiku 36.7 6 0 / 6 0 4 1 ipaas-bridge 12%, standard 12%, builds-on-platform 25%, distribution 50%
Chalk 32.6 6 0 / 6 0 5 0 builds-on-platform 17%, distribution 83%
Roboflow 29.2 7 0 / 7 0 4 2 ipaas-bridge 25%, builds-on-platform 25%, distribution 50%
Superb AI 26.8 thin 2 0 / 2 0 2 0 builds-on-platform 33%, distribution 67%
ClearML 17.2 thin 1 0 / 1 0 0 0 builds-on-platform 100%
fiddler.ai 17.2 thin 1 0 / 1 0 0 0 builds-on-platform 100%
Neptune.ai 17.2 thin 1 0 / 1 0 0 0 builds-on-platform 100%
The San Francisco Compute Company 17.2 thin 1 0 / 1 0 0 0 builds-on-platform 100%

covered 2 · reached mainly through aggregators

ProviderDepthIntegrationsIn / outUnknown builderDistributioniPaaS bridgeMix
Lambda 51.7 4 0 / 4 0 0 0 standard 25%, covered 50%, builds-on-platform 25%
Segmind 36.4 3 0 / 3 0 2 0 covered 33%, distribution 67%

regulated 1 · named in a regulator's register or partners' contracts

ProviderDepthIntegrationsIn / outUnknown builderDistributioniPaaS bridgeMix
Credo AI 40.5 5 0 / 5 0 3 0 contract 20%, standard 20%, distribution 60%

standard 30 · listed by a voluntary standard's own directory

ProviderDepthIntegrationsIn / outUnknown builderDistributioniPaaS bridgeMix
Hewlett Packard Enterprise 62.8 25 0 / 25 0 4 0 standard 56%, builds-on-platform 30%, distribution 15%
Lenovo 61.2 14 0 / 14 0 1 0 standard 86%, builds-on-platform 7%, distribution 7%
Intel 58.5 19 0 / 19 0 1 0 contract 5%, standard 68%, builds-on-platform 21%, distribution 5%
Super Micro Computer 58.3 6 0 / 6 0 0 0 standard 100%
PyTorch 58.1 3 0 / 3 0 0 0 standard 100%
Advanced Micro Devices 58.0 23 0 / 23 0 3 0 standard 70%, builds-on-platform 17%, distribution 13%
Qualcomm 57.5 7 0 / 7 0 0 0 standard 100%
Rebellions 54.9 3 0 / 3 0 0 0 standard 100%
Dell Technologies 54.8 10 0 / 10 0 0 0 standard 70%, builds-on-platform 30%
Seldon 54.1 4 0 / 4 0 0 0 standard 100%
CoreWeave 53.3 9 0 / 9 0 0 0 standard 67%, covered 11%, builds-on-platform 22%
MLflow 52.4 3 0 / 3 0 0 0 standard 100%
Labelbox 51.8 5 0 / 5 0 0 0 standard 60%, covered 20%, builds-on-platform 20%
TensorFlow 50.8 4 0 / 4 0 1 0 standard 75%, distribution 25%
Alluxio 47.9 5 0 / 5 0 1 0 standard 80%, distribution 20%
H2O.ai 43.3 7 0 / 7 0 3 0 standard 29%, builds-on-platform 29%, distribution 43%
Flyte 40.9 thin 2 0 / 2 0 0 0 standard 100%
Kubeflow 40.9 thin 2 0 / 2 0 0 0 standard 100%
FuriosaAI 40.2 4 0 / 4 0 2 0 standard 25%, builds-on-platform 25%, distribution 50%
Tecton 40.2 4 0 / 4 0 2 0 standard 50%, distribution 50%
ArthurAI 36.4 3 0 / 3 0 2 0 standard 33%, distribution 67%
Determined AI 34.5 thin 2 0 / 2 0 0 0 standard 50%, builds-on-platform 50%
Habana Labs 34.5 thin 2 0 / 2 0 0 0 standard 100%
Label Studio 34.5 thin 2 0 / 2 0 0 0 standard 50%, builds-on-platform 50%
WhyLabs 33.2 thin 2 0 / 2 0 1 0 standard 50%, distribution 50%
KServe 23.6 thin 1 0 / 1 0 0 0 standard 100%
Ray 23.6 thin 1 0 / 1 0 0 0 standard 100%
Arize AI 17.2 thin 1 0 / 1 0 0 0 standard 100%
DVC 17.2 thin 1 0 / 1 0 0 0 standard 100%
Mithril 17.2 thin 1 0 / 1 0 0 0 standard 100%

mixed 3 · no single mode dominates

ProviderDepthIntegrationsIn / outUnknown builderDistributioniPaaS bridgeMix
Weights and Biases 51.7 3 0 / 3 0 0 0 standard 33%, covered 33%, builds-on-platform 33%
SAKURA internet 51.3 8 0 / 8 0 2 0 contract 25%, standard 25%, builds-on-platform 25%, distribution 25%
Crusoe 49.8 10 0 / 10 0 1 0 standard 40%, covered 20%, builds-on-platform 30%, distribution 10%

distribution 6 · only sells through cloud marketplaces

ProviderDepthIntegrationsIn / outUnknown builderDistributioniPaaS bridgeMix
Edge Impulse 28.8 3 0 / 3 0 4 0 distribution 100%
Comet 19.2 thin 2 0 / 2 0 2 0 distribution 100%
Compresr 19.2 thin 2 0 / 2 0 2 0 distribution 100%
DataLoop 19.2 thin 2 0 / 2 0 3 0 distribution 100%
NexGen Cloud 19.2 thin 2 0 / 2 0 2 0 distribution 100%
Domino Data Lab 9.6 thin 1 0 / 1 0 1 0 distribution 100%

undeclared 10 · declares nothing we can read: no number

ProviderDepthIntegrationsIn / outUnknown builderDistributioniPaaS bridgeMix
Chamber undeclared-----
Fiddler Labs undeclared-----
Hyperbolic undeclared-----
Inference undeclared-----
Azure Machine Learning undeclared-----
Pachyderm undeclared-----
Probabl undeclared-----
RightNow AI undeclared-----
NVIDIA Run:ai undeclared-----
Weights & Biases undeclared-----

Generated 2026-10-24 from API Evangelist's own files; nothing on this page is a model's judgement. Provisional and unweighted; not part of the Kin Score composite or agent readiness. Read the Market layer methodology. Disagree with an edge? Every edge cites its evidence and can be corrected through the normal correction path.