Data and AI advisory firm building analytics platforms for enterprise clients
Ingrity is a Sydney-based data and analytics consultancy (51–200 employees) operating across the full ML and data engineering stack: Python, TensorFlow, PyTorch, Vertex AI, SageMaker, Databricks, dbt, and cloud platforms (Azure, AWS, GCP). The company is actively migrating off Salesforce Sales Cloud while scaling a delivery-focused org—three engineering roles, one data role, and one security hire posted in the last 30 days, all at mid-to-lead seniority, suggesting emphasis on execution velocity and enterprise transformation delivery.
Notable leadership hires: Delivery Lead
Ingrity advises mid-to-large organizations on data strategy, analytics architecture, and AI implementation. The firm's capabilities span analytics advisory, data engineering, business intelligence, data science, and cloud strategy, delivered across Azure, AWS, and GCP. Founded in 2018, the company has grown to serve enterprise clients (primarily in Australia) on multi-year transformation programs that include data platform modernization, migration planning, and security automation. The team draws on experience from ASX-listed and multinational companies, positioning the firm as advisor rather than pure services vendor.
Ingrity uses Python, TensorFlow, PyTorch, Vertex AI, SageMaker, Databricks, dbt, Apache Airflow, Kubernetes, and cloud platforms (Azure, AWS, GCP). Also deployed: Spark, Neo4j, BigQuery, and NLP libraries (spaCy, Hugging Face Transformers).
Sydney, New South Wales, Australia. Founded in 2018, currently 51–200 employees, privately held.
Ingrity'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.