Information & Data Management › Artificial Intelligence Management

Artificial Intelligence Management

BC-610.60 Level 2 Cross-Industry 187 providers 540 API surfaces 61 rated strong or better

AI/ML model lifecycle, MLOps, responsible AI.

Artificial Intelligence Management (BC-610.60) is a level-2 business capability under Information & Data Management in the Cross-Industry model. The catalog holds 540 API surface(s) from 187 provider(s) that can perform some part of it, 61 of them rated strong or better. Reach is the vendor surface that lands on this capability — it is not a claim about what any particular organisation has deployed.

Where this capability definition comes from. This capability is part of a published business-architecture model that API Evangelist did not author. It is redistributed here under CC-BY-4.0. Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities, CC BY 4.0 Changes: Consolidated from 333 per-L1 YAML files into one JSON; English only (upstream i18n/ omitted); descriptions whitespace-normalised. No capability was added, removed, renamed or re-parented. Source repository · NOTICE and third-party framework attributions

Sub-capabilities

AI Use Case Identification BC-610.60.10

Identification and prioritisation of AI/ML use cases.

no catalog coverage

ML Model Development BC-610.60.20

Feature engineering, training, and validation of ML models.

no catalog coverage

MLOps and Model Deployment BC-610.60.30

Model deployment, monitoring, and lifecycle management (MLOps).

no catalog coverage

Responsible AI Governance BC-610.60.40

Responsible AI principles, risk assessment, and bias monitoring.

no catalog coverage

Generative AI Management BC-610.60.50

Generative AI use cases, foundation model selection, and guardrails.

no catalog coverage

Providers that reach this capability

Ordered by rating band. Reach means a provider publishes an API surface that can perform some part of this capability — it is not a claim that any particular organisation has deployed it.

Exemplar 21 Complete, well-documented, and agent-ready
Strong 40 Solid coverage with minor gaps
OracleAIServiceDocumentAIServiceLanguageAIServiceSpeechAIServiceVision11 APIs66.0NexGen CloudInference1 API65.9Infer by Flow7Inference1 API65.7PaperspaceModels1 API65.1VisierVeeConfiguration1 API64.4BriaDatasetModel2 APIs63.7SeekrAgentsAgents v1 - legacyAlignmentData jobs9 APIs63.0Galileo Technologiesprompts1 API62.9CometAutomation rule evaluatorsDatasetsExperimentsGuardrails5 APIs62.7CelonisAgents - Conversation1 API62.4Eden AIAutoml Classificationuniversal-ai2 APIs62.2PixieBrixcopilot1 API62.2Amazon NovaAsyncInference2 APIs62.1RefuelApplicationsFinetuned ModelsTasks3 APIs61.6ThingsBoardai-model-controller1 API60.7GenesysLanguage Understanding1 API60.3ViamInferenceML ModelTraining Jobs3 APIs60.2Amazon Web ServicesAgentsCustom ModelsMlModel5 APIs59.6ArthurAIAgent DiscoveryAgents V1Continuous Eval Test RunsContinuous Evals14 APIs58.7AppDirectAI Management1 API58.0WaxellGovernance1 API58.0Amazon ComprehendAmazon Comprehend1 API57.3SimplismartChat CompletionFlux TrainingLlmModel6 APIs57.3ZenMLArtifactsModelsPipeline RunsPipelines4 APIs57.2NanonetsImage Classification PredictOCR PredictOCR Train3 APIs57.1PortkeyFine-tuningFinetuneGuardrailsModels6 APIs57.0CrusoeFoundry1 API56.9H2O.aiAI AssistantsGuardrailsModelModels4 APIs56.3Leonardo.AIElements1 API56.3Amazon ForecastPredictors1 API56.2SewerAImodeling1 API56.0RoboflowInferModelOwlv2Perception Encoder9 APIs55.9PineconeManage Assistants1 API55.8MixedbreadEmbeddingsReranking2 APIs55.5SAPArtifactsConfigurationsDeploymentsExecutions5 APIs55.4Amazon BedrockConverseCustom ModelsFoundation ModelsInference5 APIs55.0Prime IntellectInferenceevalstraining3 APIs55.0CivitaiWorkflows1 API54.9VectaraAgents1 API54.8Credo AIShadow AImodelsuse_case_reviewsuse_cases4 APIs54.7
Developing 75 Usable, with meaningful gaps to close
Advanced Micro DevicesModels1 API54.1FriendliAIContainer.AudioContainer.ChatContainer.ClassificationContainer.Completions23 APIs53.8Google Cloud AutoMLProjects1 API53.4ReplicateDeploymentsModelModelsPredictions6 APIs53.1RapidataRankingFlowItem1 API52.9SambaNova SystemsChat CompletionsCompletionsEmbeddingsMessages6 APIs52.7HeliconeEvalsEvaluatorPromptPrompt20255 APIs52.4LettaAgentsLLMsModelsTools4 APIs52.4SweepAi Agents1 API52.2CoveoAdvanced Model ConfigurationsDynamic Navigation Experience ConfigurationMachine Learning ModelsMachine learning associations8 APIs51.2University of California, San Diegocompletions1 API51.0Oracle DatabaseVector Database/Inference OperationsVector Database/Models2 APIs50.8Amazon DeepRacerModels1 API50.7Amazon Lookout for EquipmentDatasets1 API50.7Google GeminiContent Generation1 API50.7Exactly AiModels v11 API50.5GeminiEmbeddingsGeneration2 APIs50.1Aito TechnologiesQuery1 API50.0TrueFoundryEmbeddingsImages2 APIs50.0Mistral AIAgentsFine-Tuning JobsModelsTraining Jobs4 APIs49.6NixtlaFinetuneFinetuned Models2 APIs48.9AkkioModelsTrainingmodeling3 APIs48.6Salesforce EinsteinAI Record InsightsDatasetsExamplesGenerations8 APIs48.6OpikAutomation rule evaluatorsDatasetsExperiments3 APIs48.5Azure Machine LearningWorkspaces1 API48.1Events.comCustom AgentsML-DashboardPython Agent3 APIs48.0TensorWaveGenerateOpenAITraining3 APIs48.0VijilAgent EnvironmentDiamond2 APIs48.0Fastino LabsInferenceanthropic-compatinference-history3 APIs47.9Sail ResearchChat Completions APIMessages APIResponses API3 APIs47.5Anomaly DetectionMultivariate1 API46.9University of AmsterdamApply GuardrailGuardrailsPrompt Managementevals6 APIs46.5Azure OpenAI ServiceChat Completions1 API46.3OpenMetadataAI ApplicationsAI Governance PoliciesLLM ModelsMCP Servers5 APIs45.7CodeProjectTraining1 API45.4Aleph AlphaBenchmark ExecutionsBenchmarksmodelstasks5 APIs45.3Superb AIAnnotationsDeploymentsFoundation ModelsModels7 APIs45.2Microsoft Azure AI FoundryChat CompletionsCompletionsEmbeddingsImages4 APIs45.0SailChat Completions APIMessages API2 APIs44.9TraceloopEvaluators1 API44.8Parea AIParea1 API44.3Exoscaledeployment1 API43.6Google BigQueryModels1 API43.5OsmosisAgent1 API43.3Prior LabsPredictionTraining2 APIs43.2Google Cloud Document AIProjects1 API43.1NVIDIA Run:aiDistributedDistributed InferencesInferencesTrainings4 APIs43.0Google Cloud Natural Languagedocuments:classifyText1 API42.9QuantCDNAI AgentsAI GovernanceAI Inference3 APIs42.9BigMLAnomaly DetectionBatch OperationsClusteringEnsembles10 APIs42.7Understudy LabsModels1 API42.7Google Vertex AIEndpointsModelsPredictionsTrainingPipelines4 APIs42.6Label Studiosubpackage_mlsubpackage_predictionssubpackage_projectssubpackage_prompts5 APIs42.5Sahara AIInference1 API42.4Qubrid AIChat CompletionsDatasetsFine-Tuned ModelsFine-Tuning Jobs4 APIs42.2RasaModel1 API42.1Incentivioml-controller1 API41.9ZeroEntropyModels1 API41.8Weights and BiasesCalls1 API41.7ProbablProjects1 API41.4Google Cloud Dialogflow CXAgents1 API41.3CleanlabCodexStudioTLM3 APIs41.2University of EdinburghELM1 API41.1AcceptAisystemsDecisionsDriftEnvelopes5 APIs40.7Vellum AIExecute Prompt1 API40.7BentoMLbento resourcebentosmodel repositoriesmodel repository resource6 APIs40.4Arize PhoenixDatasetsExperimentsPrompts3 APIs40.3NucliaAskPredict2 APIs40.2Stability AI3D Generation1 API40.1Contextual AIAgents1 API40.0Retell AICreate AgentCreate Retell LlmGet AgentGet Retell Llm4 APIs39.9BytezModels1 API39.7TenyksData Upload1 API39.7Adaptive MLCompletions1 API39.6Scalable Inference ServingInferenceModels2 APIs39.5
Thin 43 Limited public surface area
Ask SageExecute AgentTraining2 APIs38.7HumanloopEvaluatorsPrompts2 APIs38.6MLflowArtifactsExperimentsMetricsModel Versions6 APIs38.4nexos.aiModels1 API38.1Log10CompletionsFeedback2 APIs38.0LangSmithagentsdatasetsevaluatorsexperiments5 APIs37.9OllamaChat CompletionsCompletionsEmbeddings3 APIs37.8Rainbird TechnologiesDecisions1 API37.6Triton Inference ServerInferenceModel Repository2 APIs37.6Union.aiExecutionsLaunch Plans2 APIs37.5Unissonagent-evals1 API37.0OxenAIFine Tunes:2 APIs36.7TensorFlowInferenceModels2 APIs36.6AdaptionDatasets1 API36.3PredibaseBatch InferenceFine TuningInference3 APIs36.2TargonCompletions1 API36.2OpenlayerCommitsInference Pipelines2 APIs36.1Athina AIEvaluationsPrompts2 APIs35.9LangbasePipes1 API35.3BlaxelModels1 API35.0MOSTLY AIGeneratorsSynthetic Datasets2 APIs35.0ClearMLModels1 API34.6MastraAgents1 API34.5Together AIFine-tuningModelsRLevaluation4 APIs34.5KluActions1 API34.0LiteLLMCompletionsFine Tuning2 APIs34.0PoolsideChat1 API34.0TextcortexChat Completions1 API34.0International Business MachinesAnalyzeCustom Language ModelsEmbeddingsMessages6 APIs33.1Azure AI Document IntelligenceDocument ClassifiersDocument Classifiers:buildDocument ModelsDocument Models:build5 APIs33.0BasetenChat Completions1 API32.6Google TensorFlowModel StatusPrediction2 APIs32.2Jina AIEmbeddings1 API32.1Not DiamondCustom RoutersModel Routing2 APIs31.8DeepchecksApplication VersionsApplicationsInteractions3 APIs31.4UpTrainEvaluationRoot Cause Analysis2 APIs31.2Truth SystemsGet Context Output1 API30.3osmAPIMessages1 API30.2Voyage AIContextualizedEmbeddingsMultimodal3 APIs29.4Amazon Augmented AIHuman Loops1 API29.1Predictive Oncology Model and Data Clearinghouseperform-inferencing-controller1 API28.2OpenPipeModelsUnstable2 APIs27.0KServeModels1 API26.7
Emerging 7 Early or largely undocumented
Minimal 1 Almost no public developer surface
This page carries no rating. Capabilities are not rated. A capability is a description of what a business does, not a thing a company publishes, so a Kin Score would have nothing to measure.
The edge table is a Pro feature. This page shows which providers and tags reach Artificial Intelligence Management. The underlying tag → capability edges — each with the quoted fragment of the provider's own OpenAPI that evidences it, a calibrated confidence score, and the contract-provenance gate it passed — are available through the API, along with company-level capability maps. Only edges at confidence ≥ 0.7 with evidence found verbatim in the source contract are published at all.

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