Company certifications

Google Cloud, HubSpot, ISO.

Individual certifications

Google Cloud-certified engineers.

20+ years

Delivery experience since 2005.

Israel, EU and U.S.

EU-based team with international clients.
PRODUCTION PROOF

What our team has already delivered

Google Cloud and AI have created value for our clients on real data volumes, business rules and operational constraints.

Behavioral analytics at 100K+ player scale

Gaming · BigQuery + Looker Studio
BigQuery event pipelines feed continuously refreshed analytics for a large multiplayer environment.
100K+ players · Analytics
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High-volume financial document scoring

Document AI · Vertex AI + BigQuery
An unstructured-document pipeline turns filings and reports into structured sentiment signals.
240K pages/day pipeline
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Quoting connected to operational data

Revenue Ops · ERP + AI integration
Business rules and ERP data power an AI-assisted quoting workflow for B2B distribution and operational assistants.
68% faster quoting
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Why us?

We connect Google Cloud to the systems that run the business

BigQuery and Vertex AI are useful when they connect to ERP, CRM, documents and operational workflows.

BigQuery & data platforms

Pipelines, analytical models, reporting foundations and cleaner operational data for AI and decision support.

Vertex AI & GenAI

RAG, document intelligence, search, recommendation and AI-assisted workflows over governed business data.

ERP / CRM integration

Cloud output reaches catalog, quoting, customer, approval and operational workflows instead of staying in a separate pilot.

Cloud Run / GKE / platform

Application delivery, integration, deployment and the production layer around data and AI workloads.

Automation & RevOps

Processes that start in CRM or ERP and use cloud data and AI to reduce manual work.

Production discipline

Access control, observability, cost awareness, documentation, CI/CD and a clear handover model.
Google Cloud connects existing data with applications, analytics and AI capabilities
Google Cloud connects existing data with applications, analytics and AI capabilities
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Quick Questions

Do you work with our existing team or replace it?

We normally complement the existing team. OPTI can own a defined outcome end to end or embed qualified capacity into your delivery model while your team keeps product ownership, rituals and architecture decisions.

What about IP and data security?

NDA-based work is standard. We work with least-privilege access, clear repository and environment ownership, and delivery discipline aligned with our ISO 27001 and ISO 9001 certifications. IP ownership is defined contractually and can remain fully client-controlled.

What is the minimum engagement?

We do not position this as isolated ad-hoc hours. Small fixed-scope work normally starts with a scoped assessment or sprint. Embedded capacity is agreed by role, allocation and expected duration after the technical assessment.

Do you only work on Google Cloud?

This campaign is intentionally Google Cloud focused. In production, the work often reaches beyond GCP into ERP, CRM, ecommerce, document systems and custom APIs. That integration layer is one of the reasons clients use OPTI.

How quickly can you start?

We confirm a realistic start window after the technical assessment, based on scope, access requirements and current capacity. When capacity is open, onboarding can be materially faster than permanent hiring, but we do not promise a fixed start date before we understand the work.