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[ Google Cloud ]
AI-native outcomes
on Google Cloud

Google Cloud Service Partner. 100+ brands shipped across D2C, retail, fashion, beauty and fintech with a 97 NPS — delivered across India, Southeast Asia, the Middle East and the US.

[ Answer ]

WHAT DOES DEVX LABS DO AS A GOOGLE CLOUD PARTNER?

devx labs is a Google Cloud Service Partner — an AI-native consulting firm reimagining customer experience for commerce-led enterprises. We replace bloated SaaS stacks with context-engineered, agentic AI systems on Google Cloud, priced for the outcome, with 100+ brands shipped and a 97 NPS across India, Southeast Asia, the Middle East and the US.

[ Co-sell mechanics ]

How GCP customer engineers engage devx.

We work the build-with motion on Google Cloud — a GCP customer engineer joins scoping, architectures are reviewed inside Cloud Console, and Marketplace transact options are available where consolidated billing matters. devx labs is listed in the Google Cloud Partner Directory as a Service Partner across India, Southeast Asia, the Middle East and the US.

BUILD-WITH

Joint architecture and prototyping. GCP customer engineer in scoping reviews.

MIGRATION

On-prem and AWS workloads to GCP — Anthos / GKE landing zones with funded discovery.

[ Solution areas ]

What we build on Google Cloud.

CUSTOMER INTERACTIONS Vertex AI consulting

Production agents on Gemini with grounding and evaluations. Vertex AI Search where lexical alone is not enough.

VERTEX AI →
CUSTOMER INTERACTIONS Gemini-powered solutions

Multimodal CX, voice and document agents — wired through your IAM and Cloud Logging.

GEMINI →
DATA & PLATFORM BigQuery + Looker modernization

Lakehouse on BigQuery, semantic layer in Looker, AEO content corpora and BI standardization.

BQ + LOOKER →
ENTERPRISE ARCHITECTURE GCP migration — Anthos / GKE

Pragmatic landing zones for SEA / MEA customers. Built on the doctrine, not vendor decks.

MIGRATION →
[ Honest comparison ]

AWS vs. Google Cloud — when each makes sense.

Asymmetry honestly stated. We are deeper on AWS today; we choose GCP when the data gravity, the model preference, or the customer mandate makes it right.

DIMENSION AWS GOOGLE CLOUD
Generative AI breadth Bedrock — multi-model (Claude, Llama, Mistral, Titan) Vertex — Gemini-led with multi-model where required
Data lakehouse Snowflake / Redshift / Glue patterns BigQuery — strong default for analytics-heavy customers
Agent runtimes Bedrock Agents · MCP-native Vertex AI Agent Builder · ADK-led
Where devx is deeper Yes — primary alliance, majority of pipeline Selective — SEA / MEA where the customer leads with GCP
Pick GCP when Customer is Workspace-led, BI is on Looker, or Gemini is the chosen model
Pick AWS when Bedrock is the model surface, MAP funding is in play, or marketplace transact is required
[ Accelerators on Google Cloud ]

Platforms that run on this stack.

[ Joint case studies ]

Co-delivered, with metrics.

FLAGSHIP · WITH GOOGLE CLOUD
SEA quick-commerce on Vertex + BigQuery

Search-grounded merchandising agents on Vertex, content corpus indexed in BigQuery for AEO measurement.

+3.4× AEO SHARE
Quick commerce · SEA
MEA telco superapp · Gemini agents

Agent fleet on Gemini wired through Apigee, talk-time compression on care channels.

−47% AHT
Telco · MEA · build-with
Retail OS on Cloud Run + Spanner

Cloud Run hosting + Spanner state, Pub/Sub event fabric. GCP customer engineer in weekly review.

14wk TO LIVE
Retail · IN
[ Credentials wall ]

The team, by the numbers.

100+
Brands shipped across D2C, retail, fashion, beauty and fintech
97
Customer NPS across the practice
6
Countries served — IN, SG, ID, PH, UAE, US
3
Delivery hubs — Surat, Mumbai, Singapore
[ Marketplace listings ]

Each marketplace is its own surface.

[ FAQ ]

Buyer, AE, and procurement questions.

BUYER · 4 AE-FACING · 1 PROCUREMENT · 1
[ Next ]

Bring a Google Cloud deal — we'll bring an architect.

30 minutes with the Google Cloud desk. No pitch — just your stack, your customer, and the next two milestones.