Netguru

netguru.com

Netguru’s documented business is technology consulting and software delivery rather than software licensing alone. Buyers can engage it for technology decisions, scoped prototypes and MVPs, production applications, or embedded delivery capacity. Its AI offering includes model development, application integration, and production engineering, separately evidenced from data infrastructure work. Procurement should distinguish advisory outputs, experimental builds, production rollout, and ongoing operational responsibilities. ^[1] ^[2] ^[3] ^[4]

Services and delivery

AI strategy advisory

Advisory. Identifies AI use cases, assesses data quality, and develops implementation roadmaps. AI design sprints help define opportunities before engineering begins; the advisory deliverable should not be confused with a deployed application. ^[5]

Custom AI application development and integration

Implementation. Builds LLM applications, RAG chatbots, document-processing systems, and agents using tools and APIs. Work includes production application engineering and integration into existing systems. Named technologies include OpenAI, Anthropic, Azure OpenAI, and LangChain. ^[3]

MLOps implementation

Implementation. Implements retraining pipelines, drift monitoring, experiment tracking, and machine-learning CI/CD. This addresses the engineering needed to maintain model behavior after initial development; ongoing operational ownership requires separate agreement. ^[3]

AI MVP development

Implementation. Provides MVP design, functional AI prototypes, development, and iteration from user feedback. The engagement puts essential functionality in front of initial users without implying a fully scaled enterprise deployment. ^[2]

Applied machine learning development

Implementation. Develops predictive, NLP, computer-vision, and recommendation applications. Documented use cases include demand forecasting, anomaly detection, transcription, contract review, OCR, object recognition, and document routing. ^[6]

Custom software and mobile development

Implementation. Delivers bespoke systems, full-stack applications, mobile applications, and QA/testing, covering user interfaces through database management. Documented mobile technologies include Swift, Kotlin, React Native, and Flutter. ^[7]

Composable commerce implementation

Implementation. Builds modular B2B and B2C commerce systems and marketplaces, including PIM integration and headless CMS setup. Supported technologies include Shopify Plus, commercetools, Saleor, Medusa.js, Pimcore, Akeneo, Contentful, Strapi, VTEX, and Mirakl. ^[8]

Commerce maintenance

Managed services. Offers maintenance and SLA-based support alongside commerce development. Buyers should establish covered systems, support hours, incident responsibilities, and service levels in the contract. ^[8]

Data engineering

Implementation. Implements data collection, integration, and validation architecture, storage and processing platforms, and pipelines consolidating multiple sources. This is a data infrastructure service, not independently evidence of AI model development. ^[9]

Cloud architecture implementation

Implementation. Designs and implements cloud infrastructure. The documented offering supports cloud architecture delivery; platform selection and the precise infrastructure scope should be established for the engagement. ^[10]

Technology strategy advisory

Advisory. Provides architecture assessments, build-versus-buy analysis, modernization sequencing, technology-change roadmaps, and governance. These are decision-support deliverables rather than an implicit commitment to execute migration or modernization. ^[1]

Product discovery and UX research

Research. Offers product discovery, UX research, mockups, usability audits, and accessibility workshops. These design and research activities are distinct from coded component delivery and do not establish AI implementation. ^[11]

Company details

Technology and platforms

Netguru also developed Chatguru, an MIT-licensed open-source chatbot platform with RAG, hosting, observability, and reusable interface components. Its availability is not itself an external-client delivery reference, and buyers should not assume a Chatguru licence purchase is required. ^[12]

Engagement and delivery

The Delivery Hero case documents embedded engineers, data specialists, and designers working inside client product teams’ tools and standards. Deliverables included backend APIs, prototypes, analytics and reporting pipelines, and design-system work, demonstrating team extension alongside project-based delivery. ^[4]

Track record

For ITI, Netguru reports building an educational RAG assistant grounded in the client’s treatment guides and clinical guidelines. Work covered content preparation, retrieval, automated evaluation, load testing, and deployment in ITI’s Azure environment. Netguru reports 98% answer accuracy against an evaluation framework developed with ITI; this is a project-specific result. ^[13]

For ARC Europe, Netguru describes a chatbot combining an LLM conversational engine, a business-rule decision engine, and messaging integration including WhatsApp. The case distinguishes the initial prototype from integration into internal architecture and production rollout across international markets. ^[14]

For Merck, Netguru reports a five-week proof of concept extracting chemical information from scientific PDFs, enriching it from databases, and checking catalogue availability. The stack used LangChain and Azure OpenAI on Merck’s AWS infrastructure. The reported reduction from six months of manual work to six hours concerns this PoC, not an independently verified enterprise-wide result. ^[15]

Scope and limitations

This profile is limited to the supplied research notes. Reported client outcomes have not been independently verified.
Production references support AI delivery capability, but they do not establish that every prototype or MVP reached production.
The notes do not establish standard pricing, minimum engagement sizes, staffing commitments, or universally applicable support terms.
Cloud and software-lifecycle evidence should not be treated as verification of a broad standalone cybersecurity practice.

Questions to ask

Which deliverables and acceptance criteria distinguish discovery, PoC, MVP, production rollout, and support in the proposed statement of work?
Who owns data preparation, integrations, model evaluation, deployment, and operational handover?
Can Netguru provide references matching our industry, technical environment, and required production maturity?
What model-provider, hosting, data-residency, and open-source licence constraints apply?
How will accuracy, failure handling, human escalation, latency, and operating cost be tested?
What support hours, incident responsibilities, retraining obligations, and contractual SLAs are included?

Overview