Ingrity Tech Stack

Data and AI consulting for enterprise process automation and analytics

IT Services and IT Consulting Sydney, New South Wales 51–200 employees Founded 2018 Privately Held

Ingrity is a data and AI services firm built around generative AI, ML automation, and analytics modernization. The stack is heavily weighted toward Python ML tooling (TensorFlow, PyTorch, scikit-learn) plus cloud data platforms (Snowflake, BigQuery, Databricks), and they're actively adopting LangChain and LangGraph—indicating a sharp pivot toward LLM-powered workflows. Project list (RAG pipelines, intelligent process automation, prompt engineering) and hiring concentration (15 data roles, 9 senior-level) confirm they're scaling delivery on AI-automation engagements, not just advisory.

Tech Stack 49 technologies

Core StackPython TensorFlow PyTorch scikit-learn Vertex AI SageMaker Neo4j Docker Kubernetes Apache Spark Databricks Delta Lake AWS Apache Airflow dbt Azure Data Factory Prefect BigQuery Azure Machine Learning Hugging Face Transformers spaCy NLTK SQL Azure GCP Git Dataflow Apache Beam Pub/Sub Dataproc+17 more

AdoptingLangChain Snowflake LangGraph

What Ingrity Is Building

◆Challenges

Complex operational challenges
Managing production incidents
Optimise claims processes
Cost control
Legacy reporting
Data remediation
Inefficiencies in business processes
Operational inefficiencies
Risk optimisation
Migrating from legacy data warehouses to snowflake

▲Active Projects

Productionise generative ai models
Build intelligent process automation solutions
Design ai-enabled decision support systems
Intelligent process automation (ipa) initiatives
Ml-powered automation pipelines
Implement retrieval augmented generation (rag) pipelines with langchain or langgraph
Build metadata enrichment workflows across structured and unstructured data sources
Lead model optimization efforts for latency and efficiency improvements
Ai-assisted analytics improvement
Prompt engineering for ai-driven insights

Hiring Activity

Accelerating20 roles · 10 in 30d

Department

Data

Engineering

Sales

Seniority

Senior

Mid

Lead

Principal

Junior

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About Ingrity

Ingrity delivers data strategy, analytics, and AI automation to mid-market and enterprise clients in Australia and globally. Founded in 2018, the firm operates across analytics advisory, data science, business intelligence, and cloud architecture—typically working with organizations modernizing legacy reporting systems or operationalizing ML models. Their engagement model combines strategic consulting (data strategy, cloud migration planning) with hands-on delivery (ML pipeline building, BI implementation, process automation design). Current project focus spans RAG systems, intelligent process automation (IPA), and AI-assisted analytics—suggesting clients are moving beyond static dashboards toward ML-powered decision support and workflow optimization.

HeadquartersSydney, New South Wales

Company Size51–200 employees

Founded2018

Hiring MarketsAustralia

Frequently Asked Questions

What tech stack does Ingrity use?

Core: Python, TensorFlow, PyTorch, scikit-learn, SQL. Cloud platforms: AWS, Azure, GCP. Data engineering: Apache Spark, Databricks, Delta Lake, dbt, Apache Airflow, BigQuery. Adopting LangChain, LangGraph, Snowflake.

What is Ingrity working on?

Productionizing generative AI models, RAG pipelines, intelligent process automation (IPA), ML-powered automation pipelines, metadata enrichment workflows, and AI-assisted analytics improvement. Also supporting clients migrating from legacy data warehouses to Snowflake.