Build a GenAI POC

How a GenAI POC can help your organization

Discover how GenAI can leverage the power hidden in your organization's data.

Integrate Siloed Tools

Your organization relies on specialized tools that are powerful, but often siloed and difficult to navigate. We develop generative AI proof of concepts (POC) that show how AI can reduce that complexity through intelligent orchestration.

Improve Exising Systems

Using agentic architectures, RAG pipelines, and cross-system protocols like MCP and A2A, we design AI agents that adapt and augment your existing systems—without needing to replace them.

Unlock more value

We build working prototypes that demonstrate the potential of GenAI and RAG-based systems in helping your organization make informed decisions grounded in real data.

What You Get in a GenAI POC

Before committing to full-scale development, a GenAI PoC gives your organization a focused, low-risk way to evaluate opportunities. We design each engagement to deliver fast, actionable insights adapted to your business.

Duration: Typically 4–6 weeks
Engagement model: Time & Material or Fixed Price (depending on scope)

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Functional GenAI prototype

We build a focused application customized to fit your business case, such as an assistant, retrieval tool, or content generator. The prototype runs on real data and workflows to show practical value in real-world conditions. This proof helps guide your next steps.

Multimodal LLM integration

We integrate large language models like GPT, Claude, or open-source alternatives—connected to your data and goals. The setup supports multiple input types and is adaptable to your environment, giving you flexibility without vendor lock-in.

Retrieval-Augmented Generation (RAG)

A GenAI setup combining your proprietary data with external sources. RAG uses custom embeddings and scalable vector search to retrieve relevant content. Designed for real-world deployment with modular pipelines to easily integrate with chatbots and enterprise workflows.

Light front-end interface

A simple UI lets stakeholders test and interact with the prototype. It’s designed for quick feedback, helping refine features and align the solution with business needs through real user input.

Feasibility check and ROI analysis

We deliver a summary of technical findings, business insights, and next-step recommendations. This helps your team assess feasibility, potential ROI, and whether to move forward with further development.

Built for Enterprise Environments

We create solutions that are compliant, secure, and flexible. The modular architecture also facilitates disruption-less integration into large systems.

01

Security-first implementation

SOC 2

ISO 27001

Enterprise-grade security is baked into every GenAI PoC we deliver. All projects are protected by NDAs and built with strict data handling protocols that align with your internal policies. We follow recognized standards, including GDPR, SOC 2, and ISO 27001, to safeguard sensitive data and maintain trust across every phase of the project.

02

Flexible hosting options

AWS

Azure

We adapt to your IT and compliance needs by offering multiple deployment options. Whether you need on-premise installation, a private VPC setup, or a secure cloud environment (AWS, Azure), we configure the GenAI PoC to run safely within your existing infrastructure. This flexibility ensures full control over data access and system integration, without compromising performance or security.

03

Minimal disruption

Our GenAI prototypes are designed to run independently of your production systems. They’re lightweight, deployable in sandbox environments, and easy to test without tying up core engineering resources. This setup lets your team explore capabilities and gather insights with minimal risk or operational overhead.

Case studies

Go beyond the obvious. Co-create with teams who value impactful experiences and products.

View All Projects

app screens from Friday Harbor AI underwriting analysis

Automating mortgage underwriting with multi-agent AI

Friday Harbor

screens from Monster AI Job Search feature

Helping candidates perform better at job interviews using AI

Monster AI

Helping students learn and understand basic math using artificial intelligence

Fibo — AI Math Tutor

Leveraging AI to build a content summarization app for better knowledge retention

taim

Creating a personalized audio listening experience with content curated by artificial intelligence

Audioburst

Why Choose nomtek?

Business-first approach

Our POCs are designed to validate value, not just demonstrate technology. We carefully analyze potential injection points for AI and how AI can improve workflows using your company's data.

Rapid iteration and low risk

Fast feedback loops help refine outcomes and avoid over-engineering too early. The main objective is validating where AI will help and bring benefits that translate into tangible improvements.

Cross-functional AI expertise

Our teams bring together design, engineering, and strategy to ensure results align with your organization’s priorities. The cross-functional setup lets us move fast with purpose and knowledge.

Validate your use case with AI

Frequently Asked Questions

Dedicated team

Unpack your idea with dedicated feasibility agents. A team of three experts will work on all angles to check technical feasibility and prepare an initial roadmap. Each iteration lasts one week.

High transparency

The whole process is highly transparent — you’re in the loop at every moment. If the first week reveals additional areas for exploration, we continue iterating. This way we generate enough valuable data to speed up your decision-making.

Rich deliverables

Deliverables — Every tech feasibility sprint ends with a report, roadmap, or prototype, depending on the duration of the workshop and our findings.

Custom Process

Throughout the workshop, we integrate custom processes crafted using collected insights and internal expertise. A tailored approach is optimized for confident execution in the later stages.

How safe is using GenAI in enterprise settings?

We follow strict access controls and security protocols in every GenAI proof of concept. Projects are covered by NDAs and built to comply with enterprise standards. Prototypes are deployed in sandbox environments to ensure safety, giving companies a low-risk way to explore GenAI capabilities before scaling.

What benefits does GenAI bring to enterprise workflows?

GenAI can boost operational efficiency, automate repetitive tasks, and improve access to information across teams. Our POC demonstrates how GenAI can augment and reduce compliexity in workflows, plus adapt to your environment. With fast user feedback and iteration, we help you make informed decisions grounded in measurable impact.

How can GenAI be implemented in my company?

Implementation starts with a GenAI OoC. Our clients often begin with exploring use cases like intelligent assistants, internal search, or content creation. These GenAI ideas are customized to your business. Each proof of concept POC we deliver is built to match your tech stack, data readiness, and business priorities.

What are the basics of GenAI POC?

The basics include understanding prompt engineering, embeddings, model selection, and how to connect GenAI to your data sources. We handle the full development process—from selecting the right tech stack to building scalable, testable prototypes—to optimize performance under real world conditions.

What is the meaning of GenAI?

GenAI refers to AI models capable of generating original outputs by learning from existing data. At Nomtek, we design GenAI solutions that integrate with your existing systems to address specific requirements, helping your organization achieve its business goals with minimal disruption.

What’s the difference between AI and GenAI?

Traditional AI focuses on analysis, classification, and prediction. GenAI, short for generative AI, goes a step further—it creates content like text, images, or code using large language models. Our team uses GenAI tools to build systems that support business needs like knowledge retrieval, content generation, and decision support.

What is POC in GenAI?

A GenAI proof of concept (POC) is a short-term project that tests a generative AI use case inside your business environment. At Nomtek, we use rapid prototyping and real data to build a working prototype that demonstrates clear business value. Our POC approach helps clients validate potential before committing to further investment—avoiding costly misfires.