We Help You With
How we provide innovative machine learning solutions
Step by step, we develop machine learning models that help businesses to improve their bottom line.
1. Business Analysis
We help users make sense of their business data and optimize data-driven decision-making across the board.
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Defining business needs a firm wants to address with machine learning.
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Analyzing the existing machine learning environment (if any).
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Designing a machine learning strategy and roadmap.
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Selecting optimal machine learning technologies.
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Deciding on machine learning solution deliverables.
2. Data Preparation
Our experts work on your data to enhance its quality and ensure that it can be easily processed and analyzed.
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Exploratory analysis of the existing data sources.
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Data collection, cleansing, and structuring.
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Defining the criteria for the machine learning model evaluation.
3. Building a Model
We set up models, check their efficiency and iterate until it is as transparent as possible.
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ML model exploration and refinement.
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ML model testing and evaluation.
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Fine-tuning the parameters of ML models until the generated results are acceptable.
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Deploying the ML models.
4. Valuation & Output
As soon as you approve the assessment, we go ahead with model deployment.
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Using quantitative and/or qualitative evaluation metrics.
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Providing quantitative feedback to optimize the model parameters.
- Once the model is developed and optimized, it can be deployed into the system/process.
5. Reporting
We provide a list of key elements to be used as a template when preparing and submitting ML-based manuscripts for the same audience.
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Delivering machine learning output in an agreed format.
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If required, implement machine learning models into an application for users’ self-service.
6. ML Model Support
Once the optimal end-to-end system is deployed, do we declare victory and move on? No! Not yet, at least.
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Continuous monitoring and tuning of ML models for greater accuracy.
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Adding new data to the ML models for deeper insight.
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Building new ML models to address new business and data analytics questions.
Why choose ardas
Transparency
Every hour of work is used efficiently.
Every movement and every hour paid for makes sense
Estimation Accuracy
The same team that is assessing your project will work on the project that our estimates hit with 90% accuracy
Experts in Processes
We’ve been honing the processes we apply throughout our SDLC for 17 years based on experience on projects big and small
AI & ML Expertise
We’ve developed three own SaaS and more than 70 clients’ SaaS products, so we know exactly how to make your startup a unicorn
Budget in Control
No unplanned expenditure. We report on the time spent and plan the development of all subsequent stages
Fast Scaling
We eliminate everything that doesn’t add value to a product and cut the delivery cycle to win time for improvements
Successful Cases of Our Data Science Services
We can create a machine learning model, train complex deep neural networks, or apply a computer vision algorithm to achieve a well-defined business goal.
Identifying Potential VIP Clients
Language: R, TensorFlow, Keras.
Methods: Neural Networks
To identify potential VIP clients first 2 weeks of their behavior are analyzed and a prognosis for 90 days is made. We analyze when users log in, their purchases, and their likes and dislikes.
Results: 90% of VIP clients are predicted correctly. Amount of VIP clients increased twice. Found the best processing time (3 minutes). Each extra minute reduces conversion by 2%. Reduced time of VIP client processing twice. Finally, 2% of VIP clients bring in 50% of the income.
Detecting, Recognizing and Searching People by Faces in Real Time
Language: Python, TensorFlow, Keras, DLib, OpenCV.
Methods: Neural Networks, Deep Learning.
Detecting and recognizing people's faces from video cameras in shops in real time. Then building unique face landmarks and searching for the closest face in the database.
Results: Face search has 80% accuracy.
We can discover new AI solutions for your business
If you have a problem that can indeed be solved with AI/ML we would advise the best approach based on our experience. Let's have a call and discuss how your business can be improved with machine learning methods.
Ryzhokhin