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KData AI Tech Stack

Databricks and Snowflake consulting for enterprise data and AI migration

IT Services and IT Consulting Toronto, Ontario 11–50 employees Founded 2025 Privately Held

KData AI is a Toronto-based consulting firm (founded 2025, 11–50 people) specializing in Databricks, Snowflake, and Informatica implementations. The stack reveals a two-tier practice: legacy system modernization (SQL Server, Oracle, SAS replacement) running parallel to cloud-native AI workloads (GCP, Vertex AI, LangChain, RAG pipelines). The hiring velocity is accelerating on senior and lead roles in data and engineering, signaling aggressive delivery scaling against an active backlog of SaaS migration and multi-agent GenAI architecture projects.

Tech Stack 29 technologies

Core StackSalesforce Oracle Vertex AI Python LangChain Databricks PySpark SQL Server React Native Firebase Angular Zoom Miro GCP Azure Git SQL Server Reporting Services SQL Server Integration Services Oracle Reports Rhapsody Azure Logic Apps iOS Android Google Play Microsoft 365 Teams

ReplacingSAS

What KData AI Is Building

◆Challenges

Legacy replacement
System modernization
Digital solution delivery
Migrating legacy etl to cloud
Maintaining complex integrated healthcare applications
Implementing modern saas-based property assessment solution
Gap analysis of existing data structures
Data quality rule definition
Operating model design

▲Active Projects

Customer experience management (cxm) program
Enterprise ai agent and chatbot solutions on gcp
Multi-agent genai architecture
Prompt engineering and rag pipeline implementation
System modernization initiative
Legacy replacement initiative
Digital solution delivery initiative
Sas to databricks migration
Cama renewal and valuation enhancements solution (craves) deployment project
Data model requirements & definition

Hiring Activity

Accelerating8 roles · 4 in 30d

Department

Data

2

Engineering

2

Education

1

Healthcare

1

Ops

1

Product

1

Seniority

Senior

5

Lead

2

Mid

1

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About KData AI

KData AI provides consulting, specialized talent, and accelerators for enterprise data transformation and AI initiatives. The company works primarily with mid-market and enterprise clients on Databricks lakehouse platforms, Snowflake cloud data warehouses, and Informatica data integration tooling. Project scope spans legacy ETL-to-cloud migrations, property assessment software deployments, healthcare application modernization, and emerging generative AI solutions (agents, chatbots, RAG pipelines on GCP). The practice serves clients in Canada with a senior-skewed team structure suited to complex, phased transformation engagements.

HeadquartersToronto, Ontario

Company Size11–50 employees

Founded2025

Hiring MarketsCanada

Frequently Asked Questions

What is KData AI's tech stack?

Salesforce, Oracle, GCP, Vertex AI, Python, LangChain, Databricks, PySpark, Azure, Snowflake (via consulting), SQL Server, Firebase, React Native, Angular, Microsoft 365, Teams, Zoom.

What is KData AI working on?

SAS-to-Databricks migrations, enterprise AI agents and chatbots on GCP, multi-agent GenAI architectures, RAG pipeline implementations, legacy system modernization, property valuation solution deployments, and healthcare application integrations.