Quantiphi

quantiphi.com · Professional Services · 3,284 employees

AI LeaderProduction AI operating model#36

Score

87/100

Grade

A-

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Production AI operating model with strong readiness signals: modern data foundation, retrieval/vector layer, agent framework signal; gaps: no major caps.

Pillar breakdown

01 · Data Foundation Modern MDS, warehouse/lakehouse, orchestration, ELT, BI, vector/retrieval infra.	21.5/23	Strong
02 · AI-Native Build Capacity LangChain, LlamaIndex, Semantic Kernel, LangGraph, CrewAI, AutoGen, DSPy, MCP, agent-builder tools.	16.0/16	Strong
03 · Stack Balance / Tool Mix Quality AI-native vs MDS ratio, modern vs legacy MDS, coherent data→retrieval→agents→eval sequence.	12.3/13	Strong
04 · Eval, Observability, Governance LangSmith, Arize Phoenix, Helicone, DeepEval, guarded-agent language, cross-functional governance.	11.7/14	Strong
05 · AI Hiring Investment / Momentum AI job share & volume, JD tech mentions, AI/GenAI/LLM/agentic project mentions, team breadth.	19.4/22	Strong
06 · Talent + Leadership Senior agentic roles, AI leadership, senior data roles, Head of Data, exec data-platform roles.	6.0/12	Partial

Stack signals

Tool-mix flags

warehouse/lakehousetransformationdata orchestrationBIretrieval/vectorLLM provider/modelagent frameworkeval/observabilitylegacy analytics

Matched technologies

AWS AthenaAWS BedrockAWS EMRAWS GlueAWS Glue Data CatalogAWS LexAWS QuickSightAWS RedshiftAWS SagemakerAWS Step FunctionsAgent FrameworksAgenticAgentic SystemsAgentic WorkflowsAi AgentsAlationAnthropic ClaudeApache AirflowApache HudiApache IcebergApache SparkApache SupersetAtlanAutoGenAzure Data FactoryAzure Data LakeAzure MLAzure SynapseBERTBentoMLChromaDBClickHouseCollibraCrewAIDSPyDVCDatabricksDatabricks Unity CatalogDeepEvalDelta Lake