Oracle and Salesforce consulting with emerging AI data infrastructure
Akidev is a services firm anchored in Oracle EBS and Salesforce implementations, but the tech stack reveals a significant pivot underway: the presence of vector databases (Milvus, FAISS), embedding pipelines, Apache Airflow, and AI-augmented data tooling suggests the company is building internal data and ML capabilities alongside traditional consulting. The hiring surge (17 roles in 30 days, mostly senior engineering) combined with active projects around vector embeddings and ML inference at scale indicates a shift from pure services delivery toward productized or managed AI services.
Akidev, founded in 2012 and based in Fremont, California, operates as a technology and management consulting firm specializing in enterprise applications—primarily Oracle EBS, Salesforce, and ServiceNow implementations. The company works with mid-market organizations on custom application development, packaged software deployment, and compliance consulting. With 51–200 employees and an engineering-heavy hiring profile skewed toward senior roles, Akidev is expanding its footprint in data infrastructure and AI capabilities, evident from active work on data governance, vector embedding systems, and ML inference orchestration. The company hires exclusively in the United States.
Core stack centers on Oracle (EBS, Applications, Database, Forms/Reports, JDeveloper) and Salesforce (Sales Cloud, Lightning, Apex, CPQ). Emerging AI/data layer includes Apache Airflow, Presto, Hive, Milvus, FAISS, and Python. Also uses NetSuite, Codex, and 5G/Bluetooth for connected systems.
Fremont, California. All hiring is currently concentrated in the United States.
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Akidev Corporation's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.