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Pythian

Data and AI Consulting for Enterprises

Employees
225 employees
Founded
Founded 1997
Locations
1 location

About

Pythian is a global data, analytics, and AI services provider that helps companies secure, manage, and optimize their data estates. With over 25 years of experience, Pythian delivers end-to-end data transformation, cloud migration, advanced analytics, and proactive 24/7 managed services across major cloud platforms to solve critical business challenges and drive growth.

Services

5
Production AI Consulting
Operationalizes enterprise AI through intelligent workflow automation, strategy development, workshops, and AI strategy alignment. Pythian helps design roadmaps, build data foundations, automate workflows, and deploy Vertex AI and Gemini models into secure production environments.
Database Consulting and Migrations
Optimizes database performance, eliminates bottlenecks, manages complex migrations, and upgrades architectures across Oracle, SQL Server, MySQL, PostgreSQL, Cassandra, and MongoDB. Pythian provides health checks, performance tuning, and 24/7 DBA support to ensure high availability and uptime.
Cloud Migration Consulting Services
Proactively migrates enterprise data and applications to major cloud platforms, including Google Cloud, AWS, OCI, and Microsoft Azure. Pythian uses automated migration frameworks, tested methodologies, and AI-powered code conversion to minimize downtime and transition legacy systems into agile architectures.

Quick Info

Followers
Employees
225
Founded
1997
Operating in
AustraliaCanadaUnited KingdomIndiaUnited States
Company type
Tech Company
Website
Industries1
Solution Areas5
Sub Industries3
Audience
Target Industries

Not specified yet

Customer Segments

Not specified yet

Business Model
Locations1
HeadquarterHQ
319 McRae Ave., Suite #600, Ottawa, Ontario, Canada K1Z 0B9

References14

  1. 1.Harvard Business Publishing
  2. 2.GigaOm
  3. 3.Day & Ross
  4. 4.Openforce
  5. 5.FYI Docs

Target Customer Brands

No target brands listed yet.

Recent activity

2
Sep 2026
1997
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Tags3

#data
#analytics
#AI