Partnerships

Partnerships that make enterprise systems easier to build, operate, and scale.

We work with cloud, data, automation, quality, engagement, and platform partners where their capabilities can strengthen the systems enterprises already depend on.

A partner ecosystem only matters when it reaches the work. For Mantra, partnerships are not a logo wall. They are a way to improve architecture, delivery quality, observability, automation, customer engagement, governance, and operating continuity inside real enterprise systems.

We use partner capability where it helps a client modernize faster, reduce integration risk, improve delivery reliability, or turn platform decisions into measurable operating advantage.

Partner capability map

Where partner capability enters the system.

We use partner capability where it strengthens the layer a client needs to move: cloud foundation, AI enablement, identity, data architecture, ecosystem engagement, automation, or release quality.

01

Cloud, AI & operating foundation

Systems that need scale, resilience, and intelligence need the right foundation first.

We use cloud and AI infrastructure capability to make modernization decisions more durable: where workloads run, how models are supported, and how teams operate the platform after launch.

AWS

Cloud foundations, migration paths, workload modernization, and managed platform patterns.

Microsoft Azure

Enterprise cloud, integration, identity-adjacent architecture, and modernization programs.

Google Cloud

Cloud-native systems, data workloads, analytics foundations, and scalable application delivery.

NVIDIA

AI infrastructure, accelerated compute context, and enterprise AI enablement patterns.

IBM Watson

AI, automation, and enterprise intelligence capability where workflow context matters.

02

Identity, ecosystem & engagement

Customer context only works when identity, trust, and ecosystem participation move together.

Identity, marketplace, loyalty, and ecosystem capabilities matter when they reduce drop-offs, strengthen trust, and carry context across the customer or partner journey.

Proveprove.com

Digital identity verification, onboarding confidence, and trust signals for regulated journeys.

Rakuten

Commerce, marketplace, loyalty, engagement, and ecosystem platform capability.

03

Data & application foundation

Modern products need data stores and application layers that can keep context usable.

Application data capability supports the product, workflow, and intelligence layers that have to stay coherent as users, operators, and systems move through a journey.

MongoDB

Application data, product context, workflow state, and flexible data models for digital systems.

04

Automation, quality & delivery acceleration

Velocity only matters when releases remain reliable and work actually gets lighter.

Automation and quality capabilities help reduce manual operating load, improve release confidence, and make delivery discipline part of the system rather than a late project phase.

UiPath

Workflow automation, process acceleration, and reduced manual effort in enterprise operations.

Katalon

Test automation, quality acceleration, regression coverage, and release confidence.

01

Partner principle

The platform choice has to serve the operating model.

Enterprise teams rarely need another isolated tool. They need systems that work together: product surfaces that carry context, data platforms that produce trusted signals, automation that reduces manual load, and governance that keeps the work accountable.

Our partnership approach starts with the outcome and works backward into the stack, integration pattern, quality model, and adoption path.

A partner capability is valuable only when it improves how decisions move, how work flows, or how users complete the journey.
02

Cloud and platform ecosystem

Modern foundations for workloads that need to scale and keep running.

Cloud and platform partnerships help us shape modernization paths that are pragmatic enough to deliver and disciplined enough to operate after launch.

  • AWS, Microsoft Azure, and Google Cloud for enterprise cloud foundations, migration paths, deployment models, and workload modernization.
  • NVIDIA and IBM Watson for AI infrastructure, enterprise intelligence, and automation contexts where the workflow must remain governed.
  • MongoDB for application data, product context, workflow state, and flexible data models inside digital systems.
  • Architecture patterns that keep cloud, AI, data, application, and workflow decisions connected instead of turning the stack into another layer of fragmentation.
03

Automation, quality, and release discipline

Better delivery is a capability, not a final project phase.

The systems we build are expected to survive releases, exceptions, audits, edge cases, and adoption pressure. Partner capabilities in automation and quality help make that possible.

  • Katalon for test automation, quality acceleration, regression coverage, and release confidence.
  • UiPath for workflow automation, operating leverage, and reduced manual effort in repetitive enterprise processes.
  • Delivery practices that keep release velocity tied to traceability, maintainability, performance, and operational control.
04

Engagement and workflow ecosystem

Customer and employee journeys need context that moves with them.

Engagement systems matter when they help enterprises respond to behavior, intent, service moments, and operating signals with greater relevance. We connect these systems to the journey and workflow, not as disconnected campaign or notification layers.

  • Prove for digital identity verification, onboarding confidence, and trust signals inside regulated customer journeys.
  • Rakuten for marketplace, loyalty, commerce, engagement, and ecosystem platform capability where it supports the operating model.
  • Integration patterns that connect identity, engagement, and ecosystem capability back into product, service, data, and decision workflows.
05

Certifications and maturity

The partner model is backed by delivery standards.

Enterprise work requires process maturity, security awareness, delivery discipline, and governance. Our certification posture reflects the expectations of complex and regulated operating environments.

  • CMMI Level 3 for process maturity and disciplined delivery practices.
  • ISO 27001:2013 for information security management practices.
  • ISO 9001:2015 for quality-management discipline.
  • GDPR-certified practices for privacy-aware operating expectations.
  • SAFe® 5 Agilist capability for scaled agile delivery contexts.
06

Partnership enquiries

Bring us a capability that can improve how enterprise work moves.

We are most interested in partnerships that strengthen customer journeys, data and intelligence systems, platform modernization, workflow automation, release quality, compliance, and enterprise operating performance.

For partnership enquiries, contact sales@mantralabsglobal.com.