Netguru

Make evidence-backed product decisions, align teams on priorities, and turn validated opportunities into a roadmap and delivery plan.

Create intuitive digital products that meet user needs, improve engagement and conversion, and support business goals.

Build and improve secure, responsive web products through integrated design, engineering, testing, launch, and ongoing support.

Launch and evolve mobile experiences across native, cross-platform, web, and wearable channels, from discovery through post-launch iteration.

Build scalable commerce platforms and omnichannel experiences that help businesses adapt, engage customers, and grow.

Build AI solutions that automate tasks, support customers, and turn data into actionable insights.

Build reliable data foundations and operationalize machine learning to support scalable AI and better-informed business decisions.

Build and modernize secure, observable cloud platforms while optimizing costs and supporting reliable software delivery.

Help product teams make evidence-based decisions, improve activation and retention, and prioritize work using trustworthy behavioral data.

Validate ideas, reduce development risks, accelerate innovation, and integrate emerging technologies to uncover business opportunities.

Identify defects and quality risks throughout development to support more reliable software releases.

Help teams set product direction, prioritize delivery, and use feedback and data to improve products over time.

Keep software supported, secure, and improving after launch through monitoring, maintenance, and continued development.

Add skilled capacity and expertise to teams to support delivery needs and project timelines.

Help commerce teams create accessible, consistent shopping interfaces faster and adapt them to their brand across mobile and responsive web.

Help customers find and compare suitable products faster through accurate, catalog-grounded conversations while reducing repetitive questions for support teams.

End-to-end delivery of tailored web, mobile, and SaaS applications using dedicated teams, agile development, rapid prototyping, scalable architectures, and 24/7 support to meet specific business requirements.

Products: Web development, Mobile development, Quality assurance, Software maintenance, Team extension

User-centered discovery, prototyping and iterative design to validate product-market fit and guide product roadmaps.

Products: Product strategy and discovery, Product design, Product management, Product analytics, Research and development, Silk Design System

Custom AI/ML engineering, NLP and computer vision development, model deployment, AI strategy and AI cloud integration for analytics and automation.

Products: AI and generative AI development, Data engineering and machine learning, Research and development

Cloud strategy, migration, architecture assessments, DevSecOps, cloud-native application development, application security, and managed infrastructure to modernize and operate enterprise cloud environments.

Products: Cloud and platform engineering, Software maintenance

Services for merchants and commerce operators building and modernizing storefronts, B2B portals, and marketplaces, integrating business systems, and improving product discovery and shopping experiences.

Products: Digital Commerce Services, Web development, Mobile development, AI Product Discovery

Product strategy and discovery

Netguru’s product strategy and discovery service helps teams understand customer needs, assess market opportunities, validate ideas, and define development direction. Work can include research, opportunity sizing, positioning, prototype testing, prioritization, go-to-market planning, and technical feasibility assessment. Engagements produce outputs such as a product strategy, validated opportunity map, roadmap, delivery backlog, estimates, and handover to engineering and other teams.

• Understand Customer Needs And Market Opportunities
  Use customer research and market and competitor analysis to identify user needs, opportunities, and problems worth addressing.
• Set A Clear, Evidence-Backed Product Direction
  Connect customer and market evidence to strategic choices so teams can agree on product direction and the problems it should address.
• Clarify Your Product’s Position In The Market
  Give product, sales, and marketing teams a shared understanding of the target customer, product value, and distinction from alternatives.
• Prioritize The Work That Matters Most
  Make trade-offs visible and focus effort on initiatives supported by customer evidence and business goals.
• Turn Priorities Into A Deliverable Roadmap
  Give product and engineering teams a shared sequence of work and a clear rationale for what comes next.
• Focus Investment On Promising Segments
  Compare market opportunities and customer segments to make an informed decision about where product investment should go first.
• Test Product Ideas Before Development
  Gather feedback on a prototype before committing development effort and assess whether an idea addresses a real user need.
• Identify Technical Risks Before Building
  Understand technical constraints and risks early to inform implementation choices and required capabilities.
• Plan Investment And Delivery With Confidence
  Use effort estimates and delivery phases to assess whether to proceed and communicate realistic expectations.
• Align Stakeholders On Product Decisions
  Create a shared understanding of product direction and resolve competing assumptions or priorities before delivery.
• Move From Strategy To Actionable Delivery
  Equip delivery teams with context, roadmap, architecture considerations, and backlog needed to implement the agreed direction.
• Coordinate Your Product Launch
  Give sales and marketing teams a plan for the target segment, channels, messaging, and launch activities.

Product design

Netguru designs digital products and experiences around user needs and business goals. The service combines product discovery, user research, UX and UI design, accessibility, and design systems. Its process uses workshops, interviews, competitor analysis, usability testing, and iterative refinement to shape product direction and user journeys. Reusable component libraries support consistent, scalable products.

• Improve Usability And User Journeys
  Create clearer ways for users to navigate and use a product, using testing and refinement to identify issues.
• Validate Ideas And Guide Product Direction
  Build a clearer understanding of users, the market, and business goals before shaping product direction.
• Ground Design Decisions In User Insights
  Use research and observed behavior to inform product design, verify assumptions, and make experiences more relevant.
• Create Clear And Engaging Interfaces
  Help users find and use key functionality through intuitive interfaces designed for product touchpoints.
• Scale Consistent Product Experiences
  Reuse components and shared guidelines to maintain consistency and support scalable design work.
• Refine Designs With User Feedback
  Use testing, feedback, and data to evaluate design decisions and improve the product over successive iterations.
• Make Products More Accessible
  Identify accessibility considerations and incorporate them through audits, workshops, and accessible interface components.

Web development

Netguru designs, builds, launches, and supports custom web applications, responsive websites, ecommerce experiences, and headless CMS websites. Services span discovery, UX and UI design, frontend and backend development, integrations, testing, deployment, and support. Projects use technologies selected to fit requirements, including React, Next.js, Node.js, Ruby on Rails, and headless CMS platforms. Delivery includes accessibility, performance, and security checks, launch planning, monitoring, maintenance, and support.

Category: Web Development Services

• Build Web Products Around Your Processes
  Develop custom web applications, including portals, internal tools, marketplaces, and SaaS products.
• Deliver Complete Web Applications
  Combine frontend and backend development to deliver applications suited to project requirements.
• Connect Your Essential Systems
  Integrate web products with business systems and services, including CRM, ERP, payment, and analytics tools.
• Build Connected Ecommerce Experiences
  Create ecommerce storefronts, portals, and marketplaces and connect them with relevant business systems.
• Publish Responsive, Mobile-First Websites
  Develop responsive websites and headless CMS implementations using platforms selected for the project.
• Design And Test User-Centered Experiences
  Combine research, interface design, prototyping, and user testing, with designers collaborating with engineers throughout the build.
• Review Working Software Every Sprint
  Review working software in a staging environment during each two-week sprint.
• Test Applications Before Release
  Combine automated regression and manual testing to check products before release and provide test reports.
• Check Accessibility Before Release
  Evaluate accessibility through automated checks and manual audits, including screen-reader testing.
• Monitor Core Web Vitals
  Check Core Web Vitals during development and review real-user data after launch.
• Apply Security Controls Throughout Delivery
  Address OWASP Top 10 risks with mapped controls and dependency scanning, supported by certified security management.
• Launch And Maintain Web Products
  Support production launches with release planning and monitoring, followed by ongoing maintenance and prioritized product work.

Mobile development

Netguru designs, builds, and launches mobile applications, including native iOS apps in Swift, native Android apps in Kotlin, cross-platform apps with React Native and Flutter, and Progressive Web Apps. Services span discovery, platform selection, architecture, UX/UI design, development, quality assurance, app store release, and post-launch iteration and support. Netguru also builds wearable applications and modernizes existing mobile products.

• Build For Multiple Platforms From One Codebase
  Develop applications for multiple platforms with a shared codebase, reducing duplicated work and supporting faster iteration.
• Reach Apple Users With Native Apps
  Create applications for Apple's device ecosystem with platform-specific development and release preparation.
• Build Apps For Diverse Android Devices
  Deliver Android applications designed and tested for varying screen sizes and devices.
• Test Apps Throughout Every Development Sprint
  Identify issues through testing across devices, integrations, performance, and accessibility before milestone releases.
• Validate Platforms And Architecture Before Building
  Assess feasibility and select a platform and architecture before development, helping teams plan for requirements and ownership.
• Design Accessible, User-Centered Mobile Experiences
  Shape app flows and interfaces through research, prototyping, and design systems, with accessibility checks.
• Prepare Apps For Store Release
  Coordinate app store configuration and release preparation, including optimization materials and platform review requirements.
• Connect Apps With Backend Services
  Integrate applications with backend systems and APIs while addressing authentication, data persistence, and integration behavior.
• Improve And Support Apps After Launch
  Continue developing products through planned updates, maintenance, and support for critical production incidents.
• Extend Mobile Experiences Through The Web
  Provide installable, offline-capable mobile web experiences with push notifications and without app store review cycles.
• Modernize Existing Mobile Applications
  Rebuild or improve legacy mobile applications as part of product modernization.
• Reach Users On Wearable Devices
  Extend an application to wearable devices, including smartwatches and fitness bands.
• Measure User Behavior And Optimize Conversions
  Use behavioral analytics and in-app conversion optimization to inform product improvements.

Digital Commerce Services

Netguru provides end-to-end digital commerce services, combining strategy, experience design, commerce engineering, AI and data, and ongoing operations. The team plans and builds composable ecosystems, B2B and B2C platforms, marketplaces, mobile shopping experiences, superapps, and autonomous stores. Services include architecture, modernization, integrations for product data, content, payments, logistics, order management, and store systems, as well as personalization, search, analytics, loyalty, maintenance, and managed operations.

• Plan Adaptable Commerce Architecture
  Choose and plan modular commerce technologies around business needs, supporting expandable components and growth into new markets.
• Build Scalable Commerce Experiences
  Create commerce platforms for business models including B2B, B2C, marketplaces, and retail, with capabilities that can expand as businesses grow.
• Connect Commerce Channels And Operations
  Integrate commerce platforms with operational systems and customer touchpoints to support coordinated experiences across channels.
• Personalize Product Discovery
  Apply AI, product data, and personalization to help customers find relevant products and navigate complex catalogs.
• Design Consistent Shopping Journeys
  Use research-led design, reusable components, and commerce patterns to create consistent shopping interfaces across mobile and web.
• Manage Product Data Across Channels
  Centralize product information for accurate data across channels and enable flexible content delivery for omnichannel journeys.
• Maintain Reliable Commerce Operations
  Support commerce platforms through monitoring, maintenance, cloud operations, DevOps automation, and security and compliance audits.
• Measure Commerce And Customer Engagement
  Use analytics and experimentation to gain insight into performance, while loyalty, promotions, and retail media support engagement and monetization.
• Validate Ideas And Deliver Modularly
  Test ideas early and build commerce capabilities in stages, expanding or replacing components as requirements evolve.

AI and generative AI development

Netguru helps businesses explore, develop, and implement AI and generative AI solutions, from early experiments to full-scale deployments. Capabilities include foundation model integration, retrieval-augmented generation, AI copilots and assistants, AI agents, machine learning, natural language processing, and computer vision. The service also covers AI evaluation, governance, safety, and AI agent prototyping and use cases such as claims processing and sales support.

Category: AI Development Services

• Ground AI Responses In Relevant Data
  Use retrieval-augmented generation to draw on relevant organizational information when generating responses.
• Support Users With AI Assistants
  Add AI copilots and assistants to products and workflows to support users and customers with tasks.
• Automate Tasks With AI Agents
  Build agents that plan and carry out tasks, coordinate connected tools and APIs, and operate with controls and monitoring. Prototypes can help validate workflows, including claims-processing and sales use cases.
• Automate Tasks With Generative AI
  Use generative AI to support complex tasks, automate work, and improve efficiency.
• Integrate Foundation Models Into Your Solutions
  Incorporate foundation model capabilities into products and business solutions.
• Evaluate And Govern AI Solutions
  Apply evaluation, governance, and safety practices when developing and implementing AI solutions.
• Validate Agent Workflows
  Test an AI agent approach with a working prototype before proceeding with further development.
• Speed Up Claims Assessment
  Support handlers by analyzing claims, checking compliance, and preparing recommendations; one reported project reduced assessment time from 30 minutes to 5 minutes.
• Support Sales In Real Time
  Support sales work with automation, insights, and real-time guidance.
• Personalize Experiences With Machine Learning
  Apply machine learning to customer experiences and business processes, including personalization and process automation.
• Extract Insights From Text And Audio
  Analyze text and audio at scale to uncover information in complex datasets.
• Move AI Projects From Exploration To Implementation
  Explore and validate AI and machine learning ideas, then develop projects through full-scale implementation.
• Analyze Images And Video In Real Time
  Extract real-time data from images and video to support processes and automate tasks.

Data engineering and machine learning

Netguru provides data engineering and machine learning services, including data pipelines and lakes, MLOps, feature stores, model training, and model serving. Work can also support data quality, governance, lineage, and reuse of validated features for reliable AI and data-driven solutions.

• Connect Data Sources
  Bring data from different sources into usable workflows for analysis and machine learning.
• Operationalize Machine Learning
  Move machine learning work beyond experimentation and support its operation in production.
• Train Machine Learning Models
  Develop machine learning models for project and business needs.
• Serve Trained Models
  Make trained models available for use in production systems.
• Centralize Organizational Data
  Bring organizational data together for downstream data and machine learning work.
• Reuse Validated Features
  Centralized feature definitions support consistency and reduce duplicated feature engineering.
• Validate Data Before Use
  Catch data issues before they cascade downstream and help maintain reliable inputs for systems and machine learning.
• Support Accountable Data Use
  Establish accountability around data and support confidence in AI systems.
• Trace And Reproduce Data
  Trace upstream changes and reproduce results for transparency and audit needs.
• Turn Data Into Insights
  Interpret data to support analysis, predictions, and business decisions.

Cloud and platform engineering

Netguru provides cloud and platform engineering services spanning cloud architecture, platform engineering, DevOps, infrastructure as code, and platform modernization. Capabilities include AWS, Google Cloud, and Microsoft Azure architecture, cost optimization, security, observability, cloud migration, CI/CD automation, and cloud operations.

• Design Scalable Cloud Foundations
  Get cloud architecture and strategy tailored to platform and workload needs.
• Modernize Application Platforms
  Modernize platforms and infrastructure to address evolving technical needs and support growth.
• Optimize Cloud Spend
  Improve cloud cost management and operations through optimization services.
• Strengthen Cloud Security
  Address cloud security and compliance needs, including isolation and encryption.
• Automate Software Delivery
  Automate continuous integration and delivery processes to support software delivery.
• Migrate Infrastructure To Cloud
  Move infrastructure to cloud environments and establish capabilities such as high availability and automated disaster recovery.
• Improve Platform Visibility
  Monitor cloud environments and support visibility into platform operations.
• Automate Infrastructure Management
  Manage and automate infrastructure through infrastructure-as-code practices.
• Monitor And Maintain Cloud Operations
  Support cloud operations with 24/7 monitoring and proactive maintenance.

Product analytics

Netguru helps product teams build reliable analytics foundations and use behavioral data to guide decisions. The service covers analytics audits, event instrumentation, metrics frameworks, decision-oriented dashboards, and analysis. It also helps teams select and configure analytics tools and conduct funnel, cohort, and retention analyses so teams can continue the work independently.

• Capture Product Actions Consistently
  Record user actions as discrete events, creating granular data that can be queried across time windows.
• Find And Fix Tracking Gaps
  Identify missing or duplicate tracking and unreliable metrics before they undermine analysis or product decisions.
• Understand Behavior Across User Journeys
  Connect user actions and journeys to cohorts, providing behavioral detail beyond aggregate traffic and page views.
• Align Teams Around Relevant Metrics
  Give teams shared measures to assess activation, retention, feature adoption, and progress toward a common focus.
• Connect Data Views To Decisions
  Focus dashboards on concrete product questions and decisions, with clear ownership.
• Locate User Drop-Off Points
  See which steps users abandon and identify where to focus improvement efforts.
• Reveal Behavior Patterns Over Time
  Compare user groups over time to surface behavioral differences.
• Measure Returning User Behavior
  Track return activity after first sessions to evaluate retention patterns and ongoing engagement.
• Spot Churn Signals Earlier
  Use behavioral signals to identify disengagement and inform intervention before cancellation.
• Build Independent Analysis Habits
  Help teams learn the analysis process and continue subsequent cycles without relying on Netguru.
• Identify Behaviors Linked To Retention
  Discover product actions associated with retention and use evidence to inform onboarding.
• Choose And Configure Suitable Tools
  Select and configure a product analytics platform based on scale, data volume, and privacy needs.

Research and development

Netguru’s research and development service helps businesses explore emerging technologies, develop and validate concepts, and test prototypes. The team assesses technical and economic feasibility, creates tailored solutions, and integrates technologies into existing systems. R&D strategy work identifies bottlenecks and opportunities to improve efficiency, while ongoing support helps keep products innovating.

• Validate Technical And Economic Feasibility
  Assess viability to test assumptions and reduce risks before committing further resources.
• Test And Refine Working Prototypes
  Evaluate concepts through working prototypes, usability testing, and iteration before integrating a solution.
• Explore Emerging Technologies
  Investigate relevant emerging technologies to identify opportunities for products, processes, and business growth.
• Develop Ideas Into Concepts
  Shape ideas into defined concepts and potential solutions for assessing and testing innovation opportunities.
• Build Solutions For Specific Needs
  Create custom solutions aligned with organizational requirements and identified challenges.
• Integrate New Technologies
  Incorporate emerging technologies into existing systems to support product launches and business opportunities.
• Address R&D Bottlenecks
  Identify obstacles in research and development and establish strategies to address them and improve efficiency.
• Sustain Product Innovation
  Continue implementing product innovation with support beyond initial R&D work.
• Protect Confidential Information And IP
  Use confidentiality measures and support intellectual property protection for project information and innovations.
• Measure Innovation Outcomes
  Assess R&D through indicators including ROI, patentable innovations, time to market, efficiency, market adoption, and strategic value.

Quality assurance

Netguru provides software quality assurance through manual and automated testing, including performance and security testing. QA is embedded at sprint level, with automated regression suites on every pull request and manual exploratory testing before milestone releases. Testing can cover device fragmentation, API integration failure states, performance under simulated load, and accessibility.

• Catch Regressions Early
  Automated checks on every pull request help detect issues during development rather than waiting for milestone releases.
• Find Issues Before Release
  Exploratory testing gives teams an opportunity to identify issues before a milestone release.
• Assess Performance Under Load
  Benchmarks under simulated load help assess application behavior against performance expectations.
• Check Software Security
  Assess software for security-related issues as part of quality assurance.
• Test Across Devices
  Check mobile application behavior across devices and account for differences in the devices users own.
• Check Integration Failure States
  Assess how applications behave when connected services or integrations encounter errors.
• Check Accessibility Before Milestones
  Use automated tools and manual screen-reader testing to assess accessibility before milestone releases.

Product management

Netguru provides product management support across discovery and delivery, including roadmaps, prioritization, product analytics, and post-launch iteration. Product managers can join an in-house team or work with a cross-functional team to own a roadmap sprint by sprint. For early products, analytics and user feedback can shape subsequent sprints and support work toward product-market fit.

• Connect Discovery To Delivery
  Carry product insights into delivery so planned work responds to validated needs and advances through successive sprints.
• Prioritize Work And Plan Delivery
  Give teams a sequenced view of work and a basis for prioritizing initiatives around agreed product direction.
• Use Product Data To Guide Decisions
  Understand user behavior and product performance to decide what to build, improve, or retire.
• Turn Feedback Into Next Steps
  Use post-launch learning to shape subsequent sprints and update product direction.
• Test Changes Before Committing
  Compare outcomes for users exposed to a change and a control group to support measured decisions.
• Add Product Expertise To Your Team
  Integrate product expertise into existing teams or work with a dedicated cross-functional team on roadmap delivery.

Software maintenance

Netguru supports software after launch with monitoring, ongoing support, dependency updates, security patches, and continued improvements. Maintenance can include regular updates, bug fixes, and troubleshooting, with SLA-backed support and a prioritized backlog to guide ongoing work.

• Maintain Reliable Operations
  Access ongoing production support, including assistance with issues and support governed by an SLA.
• Resolve Issues And Apply Updates
  Address bugs and apply regular dependency and security updates.
• Monitor Software Reliability
  Use monitoring and site reliability engineering support to oversee production reliability.
• Advance Product Improvements
  Continue improving products after launch by prioritizing work and shipping roadmap updates.

Team extension

Netguru helps clients expand product and engineering capacity through dedicated teams, staff augmentation, and delivery center engagements. Specialists can integrate with internal teams, providing expertise across engineering, design, and data. Netguru has supported rapid team scaling, on-demand expertise, and collaboration across projects and time zones.

• Extend Product And Engineering Capacity
  Add a dedicated team to support product and engineering work while collaborating with internal teams.
• Add Specialists To Existing Teams
  Bring additional skills and capacity into existing teams across areas including mobile engineering, QA, design, and UX.
• Scale Teams To Meet Project Needs
  Increase team capacity to support changing project demands, feature delivery, and business growth.
• Access Expertise Across Disciplines
  Add expertise across engineering, design, data, QA, and UX to address project requirements.
• Integrate Specialists With Internal Teams
  Work with specialists who join or collaborate alongside existing teams on product and engineering initiatives.
• Coordinate Work Across Time Zones
  Support collaboration between teams in different time zones through communication and coordination.
• Choose A Delivery Engagement Model
  Select delivery center support as an available software development engagement model.

Silk Design System

Silk is a free, evolving design system by Netguru for commerce teams building shops, marketplaces, and B2B products. It provides foundations, reusable Figma components, commerce patterns, and documentation for consistent, accessible interfaces across mobile and responsive web. Teams can adapt tokens and variables to their brand, while accessibility practices and contribution guidelines support quality as the system grows. Silk is designed for single-brand commerce products seeking a maintainable UI without the complexity of a large enterprise system.

• Build Accessible Interfaces By Default
  Use components and color palettes designed with accessibility in mind.
• Reuse Components Across Commerce Interfaces
  Ready-to-use components help teams assemble interfaces without rebuilding common UI elements.
• Build Common Shopping Flows Faster
  Apply ready-made patterns to product discovery, checkout, account, and other commerce journeys.
• Establish Consistent UI Foundations
  Use shared styling foundations across screens and devices without setting up core visual styles from scratch.
• Adapt The System To Your Brand
  Tailor the visual language through tokens and variables while preserving consistency.
• Reduce UI Setup And Prototyping Time
  Existing foundations, components, and layouts reduce basic UI setup. Netguru reports 50% less setup and prototyping time and 3–6 days saved during MVP sprints in client projects.
• Adopt Commerce UI Without Enterprise Overhead
  Provides reusable foundations and patterns for commerce teams that need structure and maintainability without a large enterprise system.
• Set Up And Customize Silk
  Guidance helps designers and developers use the system and adapt it to product requirements.
• Keep Interface Copy On Brand
  Guidance for interface text helps maintain a consistent voice across labels, messages, and calls to action.
• Extend The System Consistently
  Contribution guidance helps teams add to Silk while maintaining quality.

AI Product Discovery

AI Product Discovery, powered by Chatguru, is an open-source chatbot foundation that turns complex product data into conversational buying experiences. Customers explore catalogs using natural-language questions and receive recommendations grounded in product data through semantic search. Teams can configure the experience to match their brand, deploy it across cloud environments, and monitor performance. Its modular architecture supports scaling with catalogs and evolving toward deeper integrations.

• Explore Products Through Natural-Language Conversations
  Customers can describe needs, constraints, and preferences in their own words to explore product ranges through a guided conversation.
• Ground Recommendations In Real Product Data
  Base responses on products retrieved from the catalog to provide data-backed guidance rather than generic chatbot answers.
• Find And Compare Suitable Products Faster
  Provide recommendations based on customer needs and help compare options with less decision friction.
• Control Your Product Discovery Technology
  Use an open-source foundation with visibility and flexibility instead of relying on a closed chatbot vendor.
• Adapt Conversations To Your Brand
  Shape the conversational experience to reflect a brand and select its product scope across deployments.
• Navigate Expanding Product Catalogs
  Help customers explore product options as catalogs grow, using modular architecture designed to scale.
• Deploy Across Supported Cloud Environments
  Use the default Azure OpenAI integration or deploy across other major cloud providers, including cloud or on-premises hosting.
• Monitor Performance And Manage Costs
  Tracing and monitoring provide visibility into system performance to support quality and cost oversight.
• Test And Deploy With Structured Workflows
  Docker-based deployment and structured API testing and evaluation help prepare stable production environments.