AI Framework | ITMAGINATION

Straightforward and transparent scope with a fixed-price model to help you get started

Venturing into AI can raise many questions and concerns. Our goal is to bring clarity and confidence to the process.

Accelerated Time-to-Value: 6-8 Weeks

Rapid delivery of Proofs-of-Concept (PoCs) to showcase business impact early; in just 6-8 weeks.

AI Readiness - Data Maturity Assessment

Poor data practices are a top reason AI projects underdeliver and successful AI starts with strong data foundations. We assess your data readiness to reduce risk and improve ROI from day one.

Scalable and Responsible Solutions

Build AI solutions designed for seamless transition to production environments while addressing ethical, regulatory, and operational challenges.

Customized Roadmap for Your Needs

After the AI Framework phase, you can choose between two implementation tracks:

Quick Wins Track: Build production-ready AI solutions in 4–6 months, focused on high-impact use cases.
Full AI Platform Track: Develop a scalable, end-to-end AI platform over 8–12 months.

Fixed Price

Actionable roadmap & technical plan to deliver quick wins and prepare for long-term AI transformation.

€10,000*

* Rebated if full-scale project implemented

Deliverables & Artifacts

Multiple functional Proofs of Concept (PoCs) delivered
6–8 weeks of expert analysis and technical development
5+ structured stakeholder workshops & meetings
Detailed technical documentation
‍

AI readiness assessment based on data capabilities
Analysis of production use cases and ROI
Detailed technical documentation
Roadmap & solution architecture for full AI solution development

View Case Studies

Kickstart Your AI Journey

Deliverables & Pricing

Straightforward, transparent, flexible scope and fixed price model to help get you started

We understand that starting with your AI journey can bring about a lot of uncertainty, we want to do our part to reduce that uncertainty.

Fixed Price

Actionable roadmap & technical plan to deliver quick wins and prepare for long-term AI transformation.

€10,000*

* Rebated if full-scale project implemented

Deliverables & Artifacts

Multiple functional Proofs of Concept (PoCs) delivered
6–8 weeks of expert analysis and technical development
5+ structured stakeholder meetings and workshops
Detailed technical documentation
‍

AI readiness assessment based on data capabilities
Analysis of production use cases and ROI
Detailed technical documentation
Roadmap & solution architecture for full AI solution development

View Case Studies

Kickstart Your AI Journey

Accelerated Time-to-Value: 6-8 Weeks

Rapid delivery of Proof-of-Concept (PoC) to showcase business impact early - in only 6-8 weeks.

AI Readiness - Data Maturity Assessment

Poor data practices are a top reason AI projects underdeliver and successful AI starts with strong data foundations. We assess your data readiness to reduce risk and improve ROI from day one.

Scalable and Responsible Solutions

Build AI solutions designed for seamless transition to production environments while addressing ethical, regulatory, and operational challenges.

Customized Roadmap for Your Needs

After the AI Framework phase, you can choose between two implementation tracks:

Quick Wins Track: Build production-ready AI solutions in 4–6 months, focused on high-impact use cases.
Full AI Platform Track: Develop a scalable, end-to-end AI platform over 8–12 months.

Successful AI/ML Projects

Reduced Downtime & Warranty Claims with Predictive Maintenance Models

Developed IoT-powered predictive maintenance and quality models using sensor data and neural networks to detect production anomalies. The Azure-integrated solution improved uptime, reduced product returns, and enhanced quality control across 11 manufacturing sites.

Cut Concrete Costs & CO₂ Emissions with Optimized Mixing App

Developed a web-based app using non-linear optimization to reduce raw material usage and emissions in concrete production. The Azure-hosted solution enables CRH to calculate cost, CO₂ impact, and performance in real time, supporting sustainable manufacturing across global plants.

Achieved 85%+ Forecast Accuracy with AI-Powered Sales Predictions

Built a regression-based forecasting model using Gradient Boosting and time-series analysis to predict hourly sales, returns, and restocking efficiency. The solution improved inventory planning and operational effectiveness across stores using Python, R, and SQL-based analytics.

GenAI Legal Assistant Delivered on Azure for Dutch LegalTech Startup

Built a secure, GPT-powered legal research assistant using Azure OpenAI, Semantic Kernel, and Cognitive Search. Enabled Dutch legal professionals to query across laws and case files with source attribution and AI-powered Q&A; addressing major limitations of public LLMs while validating the client’s product-market fit.

Internal Copilot Boosts Sales Efficiency with Tailored Case Study Discovery

Developed an internal Copilot solution that uses Azure OpenAI to match relevant case studies to active sales conversations. The tool improves response time and personalization, empowering the sales team to deliver stronger, evidence-backed proposals faster.

Client Name Under NDA

Unified Azure Analytics Platform for Structured, Unstructured & IoT Data

Built an advanced analytics platform, automating deployments across Azure Data Lake, Databricks, Cosmos DB, and Event Hubs. It enables departments to ingest & analyze diverse data types - from IoT streams to business systems within a unified cloud-native environment.

Automated Social Media Monitoring with AI-Powered Image Recognition

Built a neural network–based system to detect product placement across social media in real time. The solution identifies brands, objects, and context, enabling automated marketing reports, influencer tracking, and competitor analysis for global marketing teams.

Logo Recognition Model Achieves 90%+ Accuracy in Global Field Use

Developed a deep learning-based image recognition model for Cheil to validate Samsung's logo consistency across global retail locations. Achieved over 90% balanced accuracy; even in poor lighting or angles, and integrated the model into a mobile tool used by sales teams worldwide with <3s response time.

LPP Uses Computer Vision to Analyze In-Store Traffic and Product Exposure

Delivered a machine learning solution that processes CCTV footage in milliseconds to detect queues, count customers, and analyze shelf space in retail stores. The system helps LPP validate in-store behavior patterns and boosts demand forecasting with ground truth data.

View Our Approach

Book a Call with Our AI Experts

Services

End-to-End AI & ML Solutions on Azure

From copilots & agents to forecasting models, we help you turn AI ideas into production-ready solutions—securely and at scale.

Copilot & Agent Development – Build AI Assistants Users Actually Use

We build custom copilots & agents using Microsoft 365, Copilot Studio, Azure OpenAI, and Azure AI Foundry.

These AI copilots & agents automate document processing, field operations, customer support, and more—integrated with Microsoft Graph, internal systems, and enterprise data.

Use AI Foundry, Semantic Kernel, and Prompt Flow to Manage LLM Workflows End-to-End

Design, evaluate, and deploy LLM-based solutions using Semantic Kernel, Prompt Flow, Azure AI Foundry, and Content Safety tools.

‍We help enterprise teams run structured pilots and move toward reliable LLMOps.

Responsible AI & Governance – Stay Compliant While Innovating

Extract, classify, and reason over structured and unstructured documents using Azure AI Document Intelligence, OpenAI, or custom AI models.

Ideal for contracts, invoices, product manuals, and regulatory docs.

MLOps & Model Deployment – Automate Model Lifecycle Management

We deliver ML-powered forecasting solutions using Azure ML and Databricks, helping businesses predict demand, inventory needs, churn risk, or maintenance events—backed by interpretable models and auto-retraining pipelines.

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Start Building AI & ML Solutions on Azure

Scalable & Secure AI/ML Solutions Built on Microsoft’s AI Stack

Generative AI Powered Copilots + Agents on Azure

Design copilots, autonomous agents, and knowledge assistants using Microsoft’s GenAI stack.

‍Build Fully Custom Agents & Copilots with Azure AI Foundry & Azure OpenAI: Enable summarization, classification, and natural language chat across your enterprise data.
Empower Business Users & Makers with Copilot Studio Integrations: Design LLM workflows and deploy copilots within Microsoft 365, Teams, or your custom apps.
RAG & Knowledge Orchestration: Use Azure AI Search + AI Studio to deliver grounded, auditable responses using your internal content.

Build & Deploy AI Copilots & Agents

Classic Machine Learning Solutions on Azure

Train, deploy, and monitor ML models for forecasting, scoring, and optimization.

Enterprise-Grade ML Workflows: Use Azure Machine Learning and Databricks to build and deploy time-series, classification, and regression models at scale.
‍Automated MLOps: Enable retraining, model versioning, and drift detection with ML pipelines and CI/CD.
Explainable, Compliant AI: Build trustworthy models with built-in explainability, Responsible AI dashboards, and audit trails.

Make Better Decisions with Advanced ML Solutions

Services

Microsoft Azure Cloud Consulting & Development Tailored for Enterprises

Our team has delivered over 50 projects on Azure for enterprises in the Financial, Industrial, and Entertainment Industries in the past 2 years.

13+ Years Of Microsoft Gold Solution Partner Azure Expertise

Whether you have a team of 2 or 200, our shared team inboxes keep everyone on the same page and in the loop.

Tailored Azure Consulting Services

An all-in-one customer service platform that helps you balance everything your customers need to be happy.

Improve Performance and Reduce Costs

Measure what matters with Untitled’s easy-to-use reports. You can filter, export, and drilldown on the data.