Google Cloud Generative AI
About SquareShift
SquareShift is an applied-AI engineering company.
We help enterprises turn AI, data, cloud, search, observability, and engineering priorities into systems that work in production.
Clients bring us work that carries operating risk, technical complexity, or both. They need the system to hold up after launch, not just look good in a pilot.
Partner support
The partner and specialisation depth behind our AI, data, and search work.
Elastic Generative AI Partner
Google Cloud Premier Partner
Google Cloud Data Analytics
Google Cloud Machine Learning
Looker Consulting Partner
Elastic Select Partner
Anthropic Claude Partner
Where we are useful
Clients usually call us when the system has to work beyond the pilot.
That is usually the point where architecture, delivery, and operating reality have to come together without slowing the programme down.
AI and data programmes that need to ship
The brief is often clear. The hard part is turning it into a working system with the right data, workflow, and operating controls.
Complex environments with real constraints
The team may be dealing with regulation, legacy platforms, release windows, or cross-functional dependencies. The build still has to move.
Initiatives that need senior technical judgement
Architecture, trade-offs, and delivery decisions stay with experienced engineers rather than being handed from one team to another.
How clients work with us
The same team shapes the system and carries it into production.
SquareShift does not separate the thinking team from the delivery team. The engineers who shape the system are the same engineers who help build, deploy, and stabilise it.
For clients, that usually means fewer handoffs, clearer trade-offs, and faster movement from plan to working software. The accountability line stays visible.
Senior technical involvement
Experienced engineers and leaders stay close to architecture, delivery, and important decisions.
Practical delivery
Clear scopes, working software, and steady progress matter more than ceremony.
Production discipline
Security, maintainability, and operating reality are part of the build from day one.
Direct communication
Risks, trade-offs, and next steps are made explicit early so the work can move with fewer surprises.
Leadership
Leadership shaped by decades of work in data, AI, and machine learning.
The company is led by people with delivery responsibility across client outcomes, North America, engineering, and analytics.
Aananth
CEO
Leads company direction, client relationships, and major transformation programmes.
Venky
CEO, North America
Leads North America and works with enterprise teams on growth, account strategy, and delivery commitments.
Elango
CTO
Leads architecture, engineering quality, and the technical shape of delivery across platforms and products.
Steve
Head of Analytics
Brings 24+ years of global data experience, has built Centres of Excellence in Generative AI, Computer Vision, and NLP, and has delivered 25+ large-scale AI implementations across Bosch, PNC Bank, and Oracle.
Values
The standards we expect in the work and in the team.
Learning as a working discipline
We keep learning because the platforms, models, and operating patterns keep changing. That learning has to show up in the work.
Ownership without handoffs
Teams are expected to make decisions, surface risks early, and carry responsibility through delivery rather than passing it onward.
Quality that survives production
Architecture, testing, security, and maintainability are treated as part of delivery quality, not as separate clean-up work later.
Trust in how we work
Clients should get clear communication, direct answers, and a delivery team that behaves responsibly when the work gets difficult.
If you have a programme that needs senior engineering attention, let’s talk.
We can help shape the path, build the system, and carry it into production.