Practiv is a Sydney-based Data Cloud & AI consultancy built around Snowflake, Databricks, and GCP, with emerging RAG/LangChain capabilities. The hiring mix skews senior and heavily toward data roles (5 of 9 open positions), suggesting deep client engagements on analytics and AI integration rather than staff-augmentation. Core friction is legacy-system compatibility — integrating AI into existing tech stacks appears five times across their documented pain points, indicating a repeating pattern across customer wins.
Practiv is a 51–200-person consultancy founded in 2000 and headquartered in Sydney, operating across Australia and New Zealand. The firm specializes in Data Cloud and AI transformation — helping mid-market and enterprise customers accelerate adoption of cloud platforms (Azure, AWS, GCP) and build data-driven capabilities. They operate across three primary areas: cloud infrastructure and DevOps, business intelligence (Tableau, Power BI), and AI-driven automation. The team positions itself as specialist-led rather than generalist, with active project work spanning cloud deployment, AI solutions engineering, and process optimization.
Snowflake, Databricks, GCP, Python, Apache Spark, Tableau, Power BI, LangChain, LlamaIndex, and RAG frameworks. They also integrate OAuth and support Xero for accounting integrations.
Sydney, New South Wales, Australia. The firm was founded in 2000 and operates 51–200 employees across Australia and New Zealand.
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Practiv'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.