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Digital product engineering services.

Digital products that power acquisition, conversion, and monetization across commerce, marketing, analytics, and partner platforms: product-led, data-driven, AI-accelerated, and built for scale.

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100+

Brands served worldwide

Design. Ship. Scale.

Growth-native product teams from first release through continuous delivery.

Product engineering built for digital growth

Every initiative is run as a product with measurable outcomes, not a project with a delivery date.

Product-First Engineering

Digital initiatives designed as end-to-end products, with clear outcomes, user journeys, and analytics metrics embedded from inception.

Growth-Native Architecture

Products architected for acquisition, conversion, and global scalability, ensuring every feature drives measurable business impact.

Partner-Integrated Execution

Seamless integration with platforms like Feedonomics, providing cataloging, product feed optimization, and partner channel enablement.

Proprietary frameworks and delivery squads

Architecture rigour from our own audit and maturity frameworks, delivered by squads shaped around the work.

Proprietary Frameworks & Tools

AQ360 Audit
Deep architecture quality audit
DSMM Framework
Digital System Maturity Model
Fractional Ownership
Embedded lead architect engine

Delivery Squads

  • Web & App Development Pods
  • Go-to-Market Product Labs
  • Data & Intelligence Centers

Enterprise tech stack

Modern, cloud-native technologies chosen for the product, not the other way round.

Backend
Node.js, Go, Python, PHP, .NET
Frontend
React.js, Next.js, Vue.js, React Native, Flutter
Cloud
AWS, Azure, GCP, Docker, Kubernetes, Serverless
Data
PostgreSQL, MongoDB, Snowflake, Redis, BigQuery
AI / Intelligence
GPT-5, Claude, Llama, LangChain, AutoGPT

Turn a squad into a dedicated capability

When product work becomes a long-term capability, GCC-as-a-Service builds and operates a dedicated center around it.

GCC-as-a-Service

Digital Product Engineering FAQs

What is product-first engineering?

Product-first engineering treats every digital initiative as an end-to-end product, with clear outcomes, user journeys, and analytics metrics embedded from inception. Products are architected for acquisition, conversion, and global scalability, so every feature drives measurable business impact.

Which technologies does Cube27 use for digital product engineering?

Backend: Node.js, Go, Python, PHP, and .NET. Frontend and mobile: React.js, Next.js, Vue.js, React Native, and Flutter. Cloud: AWS, Azure, GCP, Docker, Kubernetes, and serverless. Data: PostgreSQL, MongoDB, Snowflake, Redis, and BigQuery.

What are AQ360 and the DSMM framework?

They are Cube27's proprietary engineering frameworks. The AQ360 Audit is a deep architecture quality audit, and DSMM is our Digital System Maturity Model. Both pair with Fractional Ownership, our embedded lead architect engine.

How are Cube27's product engineering teams organised?

Delivery runs through dedicated squads: Web & App Development Pods, Go-to-Market Product Labs, and Data & Intelligence Centers. Squads integrate with partner platforms such as Feedonomics for cataloging, product feed optimization, and partner channel enablement.

What services does Cube27 offer?

Cube27 delivers four core service lines: Agentic AI & Process Automation, Digital Product Engineering, Salesforce & Enterprise Platforms (commerce), and GCC-as-a-Service. Engagements span strategy, build, and long-term operation as an embedded extension of your team.

Where is Cube27 based?

Cube27 operates from Pune, India, with 150+ specialists providing 24/7 global coverage across NORAM, EMEA, APAC, and India.

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Let's build your next product.

Talk to a Solutions Architect about an AQ360 architecture audit, a dedicated delivery squad, or embedded architecture leadership.

  • Cube27 IT Pvt. Ltd. Plot 12, Mulberry Garden 1, Magarpatta City, Hadapsar, Pune Maharashtra India 411013
  • contact@cube27.com
  • Connect on LinkedIn
  • 24/7 global support across NORAM, EMEA, APAC, and India.

Why partner with Cube27?

  • Top 1% talent with stringent hiring
  • 6-week resource onboarding
  • <10% attrition for project continuity
  • 95% SLA for enterprise support

We typically respond within 24 business hours.