AI-Driven

Empowering Businesses Through AI Solutions

Advanced Analytics

Our advanced analytics service uses cutting-edge algorithms and tools to delve deep into your data, uncovering actionable insights that can amplify your business strategies and decisions.

Data Collection & Cleaning

No matter whether you store your data in the cloud or on-premise. We can build a robust pipeline that will end up in one place.

Data Exploration & Feature engineering

Preprocess the data to handle missing values, remove duplicates, and correct inconsistencies. The stability of the features is also crucial to cover in this step.

Hypothesis & Evaluation

Properly chosen statistical methods can provide robust characteristics, correlations, causations, and outlier detection, among other valuable insights.

Insights & Decisions

Interpret the results from the models to generate actionable insights. Use these insights to inform business decisions and strategies.

AI Strategy

With our AI strategy development service, we guide businesses in harnessing the power of Artificial Intelligence to create customized roadmaps that align with their objectives and challenges for long-term success.

Understand Business Objectives & Identify Opportunities

Identify the business goals and how AI can help achieve them. Look for areas within the business where AI can bring value. This could be improving existing processes or creating new products or services.

Assess AI Readiness & Develop an AI Roadmap

Evaluate the organization’s readiness to implement AI, considering factors like data availability, technical infrastructure, and skills. Create a detailed plan outlining the steps to implement AI, including the necessary resources and timeline.

Implement Pilot Projects & Scaling

Start with small-scale projects to test the effectiveness of AI and learn from the results. If the pilot projects are successful, scale them up and continuously iterate based on feedback and results.

Monitor and Update the Strategy

Regularly review the strategy to ensure it remains aligned with business goals and takes into account the latest AI developments.

AI Solution

Through predictive modelling, we help businesses anticipate future trends, risks, and opportunities by analyzing historical data, enabling proactive decision-making that maximizes efficiency and profitability.

Identify the Problem

A detailed understanding of the business problem will highly increase the chances of success.

Collect Data & Choose the Model

Gather relevant data and preprocess it for AI algorithms. We prefer the approach “less is often more” in terms of code and data.

Training & Evaluation

We prioritize hyperparameter search paired with selecting the appropriate evaluation metric for modelling and evaluation.

Deploy, Monitor & Update

Models with good interpretability, fast iterations, and high performance are emphasized to facilitate insights generation and decision-making.

Cloud Architecture Setup

The platform provides the entire lifecycle of machine learning models, from data ingestion to deployment and monitoring. There are two options for cooperation, we either provide you ready made architecture built by us, or help you to optimally choose and build from the lake of tools and technologies. We care about the costs, user experience and security.

Example setup

1. Data Ingestion: Scalable cloud storage (AWS S3, Google Cloud Storage, ADLS Storage Gen2) for raw data.
2. Feature Store: Centralized repository for consistent, scalable feature storage.
3. Model Factory: Automated pipelines for model development, training, and CI/CD integration.
4. Data Processing: Cloud-based ETL services (AWS Glue, Google Dataflow, Azure Data Factory).
5. Model Training: Cloud computing resources (AWS SageMaker, Google AI Platform, Databricks, Azure Machine Learning) for scalable training.
6. Model Registry: Secure storage and versioning for trained models (ML Flow).
7. Deployment: Cloud-native services (AWS Lambda, Google Cloud Functions, Azure Kubernetes) for scalable API deployment.
8. Monitoring: Integrated tools (AWS CloudWatch, Google Stackdriver, Azure Monitoring) for performance tracking and anomaly detection.

This architecture ensures seamless, scalable, and efficient ML model workflows in the cloud.

Data Visualization

Our data visualization service transforms complex data sets into visually appealing and easy-to-understand displays, enabling insightful interpretations that drive informed decisions and foster organizational growth.

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