SquareShift · Applied-AI engineering

Applied AI, from idea to running system

You bring a specific area where AI can win. SquareShift shows you the art of the possible, then builds, runs, and expands the production system — one senior team, from the first conversation to the system running after go-live.

Google Cloud Premier PartnerLooker Consulting Partner — Delivery VerifiedElastic Select PartnerAnthropic Claude Partner
Latest news

SquareShift is now a member of the Anthropic Claude Partner Network.

We engineer Claude into the applied-AI systems we design, build, and run.

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02 The pivot

When AI has to run in production, you call SquareShift.

You bring the area where AI can win — an immediate problem, or an ambition for the business. SquareShift takes it all the way to a production system, and keeps expanding it.

01

AI that runs in production

02

Decisions on trusted data

03

A platform modernized in place

04

Signals unified into one system

Immediate challenge or long-term ambition, one team carries the decision all the way to a running system.

03 Partner-verified depth

Verified across Google Cloud, Looker, and Elastic

Every capability here carries a partner credential, not an adjective.

Google Cloud Premier PartnerGoogle Cloud Data Analytics specializationGoogle Cloud Machine Learning specializationGoogle Cloud Generative AI specializationLooker Consulting PartnerElastic Generative AI PartnerElastic PartnerClaude Certified Architect

Google Cloud Premier Partner

Data Analytics and Machine Learning specializations, verified by Google.

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Looker Consulting Partner — Delivery Verified

Semantic-layer and BI delivery, verified by Looker.

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Elastic Generative AI Partner

Elastic Select Partner. Search, observability, and AIOps delivery depth.

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Customers span Fortune 500 enterprises and VC-backed companies.

04 One team, no handoff

The team that shapes the decision is the team that builds and runs it.

One senior team shows you what's worth building, then builds and runs it, backed by150+ engineers across our delivery centers. Modernization is staged and risk-controlled: the existing stack is modernized in place, not replaced.

What we help you decide

  • Where AI should change a workflow — and where it should not
  • What a trusted data and semantic layer should look like
  • How cloud and platform foundations modernize without rip-and-replace risk
  • Where search, observability, and security signals are weakest

What we build and operate

  • Production AI workflows and agents
  • BigQuery and Looker semantic layers
  • Staged cloud migrations
  • Elastic-based search, observability, and AIOps systems
  • Custom engineering, delivered end to end
07 Start small

Advisory first, then build, migrate, or run it

The smallest useful step is a decision, not a program. Start there, then scale as the work earns it.

09 Let's build it

Bring the initiative that needs both a decision and a system

The team that shapes the decision is the team that builds and operates the system that ships. Customers span Fortune 500 enterprises and VC-backed companies.