Enterprise AI and Gen AI that moves from pilot to production
We design, build and run AI on Vertex AI and Gemini, grounded in your data, integrated with your systems and governed, so pilots become production.
Why do enterprise AI pilots stall?
Usually not because of the model. Pilots stall on disconnected data, brittle integrations with CRM and ERP systems, and missing governance, so teams can't trust AI with real customer data. Production AI needs engineering around the model as much as the model itself.
Enterprise AI that delivers
Innovate faster
Google's latest models automating work that wasn't possible before.
Measurable growth
Value from multimodal data: predicting intent, personalizing and automating workflows.
Safer operations
Grounded agents, governed data and secured interactions.
Spend you can defend
Right-sized models and continuous cost monitoring in Zenta Pulse.
From first use case to production
01
Discover
A use-case portfolio scored for effort, impact and ROI.
02
Prove
A proof of concept on your data against an agreed success metric.
03
Productionize
Hardened pipelines, deployment, access controls and monitoring.
04
Scale
What works expanded to more teams and workflows.
Common questions
Which models do you use?
Gemini and other models on Vertex AI, and Anthropic's Claude where it fits better.
Can AI work with our CRM and ERP?
Yes. Integration with your existing systems is a core part of the work.
How do you make AI answers trustworthy?
By grounding answers in your own data, controlling access and logging what the AI does.
How do we start?
With a free consultation and a discovery that scores your use cases.