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Official Google Cloud Partner

Data Processing with Google Cloud

Migrations, application upgrades, data & analytics (BigQuery + Looker), AI agents with Gemini, SRE/DevOps, and security - delivered by a team with 20+ years in software and official Google Cloud & HubSpot partnerships.

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Google Cloud Partner HubSpot Solutions Partner ISO 9001 ISO 27001
Google Cloud Architecture: GKE, Cloud Run, BigQuery, Vertex AI

We deliver

Aplicații web și portaluri

Architecture & Landing Zone

VPC, IAM, Cloud Armor, Cloud Logging/Monitoring, cost and security monitoring.
Data și business intelligence

Migration and Application Modernization

Lift-and-shift on Compute Engine or modernization on Cloud Run / GKE
Securitate și calitate IT

Data & Analytics

BigQuery as a data hub; HubSpot/ERP/CRM connectors; Looker Studio for reporting.
ERP/CRM, software 3rd party

AI Gemini - Vertex AI

AI agents for processes, semantic search, summarization, sales & support assistants.
Aplicatii iOS si Android

SRE and DevOps

CI/CD (Cloud Build/Cloud Deploy), monitoring, SLOs and runbooks
Soluții personalizate

Security and Compliance

IAM least-privilege, Cloud KMS, backup & DR, access audit and access hardening.
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Why OPTI?

  • Focus on Business Processes & Automation – not just cloud, but operational results.
  • Expertise in ERP/CRM (e.g. HubSpot) – clean pipelines for leads and sales, analytics in Google Cloud.
  • AI as a Competitive Advantage – we design Gemini agents on your data (while respecting security and compliance).
  • Security Culture – ISO 27001, SRE runbooks, “security-by-default” controls.
  • International Experience – Romania, European Union, Israel, United States of America.
our-know-how

Packages

Standard (2–4 weeks)

  • Assessment and migration planning
  • Landing Zone (network, IAM, logging)
  • Observability & cost planning.

Data & AI (3–6 weeks)

  • BigQuery setup, data ingest from API/ERP/CRM
  • Dashboard Looker Studio
  • PoC Gemini/Vertex AI on a process (e.g., sales).

Reliability & Security (monthly)

  • SRE (SLO/SLI, alerts, runbook)
  • Backup/DR, Cloud Armor/WAF, monthly updates
  • Cost optimization (FinOps) and reporting
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Data & AI architecture

We unify operational data into a BigQuery hub, create reports in Looker Studio, and add AI agents with Vertex AI / Gemini for key processes (support, sales, document analysis).

Ingest & pipeline
HubSpot/ERP/CRM via connectors or Dataflow/Airbyte, raw storage in Cloud Storage, modeling in BigQuery.
Data modeling
Datamarts by domain (marketing, sales, operations) with dbt/Dataform, ID standardization and PII tagging.
Analytics
Dashboards in Looker Studio for management; materialized views for frequent queries.
AI on your data: Vertex AI
RAG, classification, summarization, secure endpoints, guardrails, and cost/latency monitoring.
Exposure & API
APIs/services that send scores or recommendations to HubSpot/ERP; orchestrated automation with Workflows.
Governance, compliance & regions
Data Catalog, fine-grained access policies, processing/storage in the EU, CMEK keys.
Dataflow in BigQuery, Looker reports, and Vertex AI agents for business processes

Success Stories

Read All Studies from OPTI

Process and methodology

The OPTI methodology involves an iterative process focused on rapid deliverables and client feedback.

Discovery: objectives, workloads, KPIs

Architecture & Planning: landing zone, security, cost

Migration/Build: CI/CD, infrastructure as code

Data & AI: BigQuery/Looker, Gemini agents PoC

Operations: SRE, security, continuous optimization

Process and methodology

Technology

 

Compute

GKE, Cloud Run, Compute Engine

 

Compute

GKE, Cloud Run, Compute Engine

 

Data

BigQuery, Cloud Storage, Pub/Sub, Dataflow

 

AI

Vertex AI / Gemini

 

DevOps

Cloud Build, Cloud Deploy, Artifact Registry

 

Ops

Cloud Logging, Monitoring, Error Reporting

Interesat?

Interested?

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References

Steps Overview

Step 1: Discovery and Assessment

We analyze your data sources, existing infrastructure, and business objectives. We assess your analytics, AI, and modernization requirements to propose the most efficient architecture on Google Cloud.

Step 2: Architecture and Landing Zone Setup

We design a secure and scalable cloud architecture. We configure the 'landing zone' in Google Cloud, including networking (VPC), identity management (IAM), logging, and cost monitoring, following security best practices.

Step 3: Migration and Data Pipeline Construction

We execute the migration of applications and data (lift-and-shift or modernization). We build automated data pipelines (ETL/ELT) to ingest data into BigQuery from various sources like HubSpot, ERPs, or APIs.

Step 4: Analytics and AI Proof of Concept (PoC)

We create interactive dashboards in Looker Studio to visualize the data from BigQuery. Upon request, we develop a PoC with Vertex AI / Gemini to demonstrate the value of AI on a specific business process (e.g., sales forecasting).

Step 5: SRE Operations and Continuous Optimization

We implement SRE (Site Reliability Engineering) practices to ensure service reliability. We constantly monitor performance and costs (FinOps) and provide a backup and disaster recovery plan.

Frequent Questions

GKE vs Cloud Run: how to choose?

Cloud Run – for most cases: stateless HTTP/event-driven services, autoscaling, fast time-to-market, pay-per-use cost, minimal operation. Suitable for APIs, webhooks, scheduled jobs, microservices .

GKE (Kubernetes) – when you need fine control and complex/long-running workloads: GPU/TPU, intensive streaming (gRPC/WebSockets), etc. Offers maximum flexibility and requires DevOps governance.

How do we keep BigQuery costs under control?

  • Partitioning & Clustering on time/filtering key columns, reducing scan.
  • Select only the necessary columns (avoid SELECT *), filter before JOIN.
  • Materialized Views / result cache for repetitive queries.
  • Expiration on "staging" tables and temporary tables for ETL.
  • Flat-rate slots / Flex slots for predictable workloads; otherwise on-demand.
  • Labels on projects/datasets for cost allocation by teams.
  • Budgets & alerts in Cloud Billing + scan-bytes monitoring dashboard.
  • Column format & compression (Parquet/ORC) when loading from Cloud Storage.
  • One single region (EU) to avoid egress costs.

Data can remain in the EU?

Yes. We design the platform in EU regions (e.g. Belgium/Netherlands/Germany/Poland) or in EU multi-region, with these principles:

  • Storage & processing in the EU for BigQuery/Compute/Storage.
  • Customer-managed keys (CMEK) in Cloud KMS from the EU.
  • VPC Service Controls policies and egress restrictions.
  • Back-up & DR in the EU (cross-region EU).
  • For AI services, we select EU endpoints/regions where available; if a service does not yet offer "EU-only", we inform in advance and propose alternatives.

How does it integrate with CRM/ERP solutions like HubSpot?

OPTI is a certified Google Cloud and HubSpot partner.

  • HubSpot → BigQuery: official API (Contacts/Companies/Deals/Activities), webhook-uris and Cloud Functions/Cloud Run jobs or ETL connectors (e.g. Airbyte/Fivetran) – incremental, with de-dup and ID mapping.
  • ERP/other applications: API/ODBC/JDBC, CDC, files from Cloud Storage.
  • Unified data model: taxonomies, currency, timezone, PII tagging, data catalog.
  • Validation & quality: business rules, test records, continuous reporting.
  • Backward sync: we write update-uris/score-uris in HubSpot (e.g. AI score per lead) or in CRM/ERP, respecting rate-limit and retry.

How long does a Gemini PoC take?

Typically 2–4 weeks, in four clear steps:

  • Scope & dates (2–3 days): we choose the use case, KPIs, data access, compliance & privacy.
  • Prototype (1 week): agent/endpoint on Vertex AI (prompting, RAG if needed), guardrails, authentication.
  • Iterations & measurement (1 week): user testing, fine-tuning prompts, cost & latency optimization.
  • Handover (2–3 days): demo, documentation, production plan (SLO/monitoring), TCO estimate.


Deliverables: functional demo, code/infrastructure as code, metrics dashboard, go-live plan, and estimated budget.

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Last updated: 26.03.2026

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