We Help You With
Any person can be uniquely identified by evaluating distinguishing biological traits. Unique identifiers include fingerprints, hand geometry, earlobe geometry, retina and iris patterns, voice waves, DNA, and signatures.
Our team develops analytics solution that tells a story of the past, present and the future to find hidden patterns in data to provide critical insights and drive business change. We build solutions that resonate across several levels of an organization.
We determine the condition of in-service equipment to estimate when maintenance is needed. This approach promises cost savings over routine or time-based preventive maintenance, because tasks are performed only when warranted.
We modernize traditional risk-management frameworks and develop or adopt new approaches that are built on strong foundations of enterprise risk management and aligned with leading practices and regulatory requirements.
AI solutions for business
We make it possible for any company to not only gather information, but also to instantly derive business insight and, perhaps even more importantly, reliably apply that insight to future business activities.
Machine learning for NLP
NLP and text analytics involves a set of statistical techniques for identifying parts of speech, entities, sentiment, and other aspects of text. The techniques applied to supervised machine learning.
Our team is highly skilled to overcome bad recording equipment, background noise, difficult accents and dialects as well as the varied pitches of people’s voices and other challenges with speech recognition.
Image & video recognition
We can power face recognition and authentication functionality for ensuring security in public places, detecting and recognizing objects and patterns in images and videos, and so on.
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.
Defining business needs a firm wants to address with machine learning.
Analyzing the existing machine learning environment (if any).
Designing a machine learning strategy and roadmap.
Selecting optimal machine learning technologies.
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.
Exploratory analysis of the existing data sources.
Data collection, cleansing, and structuring.
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 transparant as possible.
ML model exploration and refinement.
ML model testing and evaluation.
Fine-tuning the parameters of ML models until the generated results are acceptable.
Deploying the ML models.
4. Valuation & Output
As soon as you aprove the assesment, we go ahead with model deployment.
Using quantitative and/or qualitative evaluation metrics.
Providing quantitative feedback to optimize the model parameters.
- Once the model is developed and optimized, it can be deployed into the system/process.
We provide a list of key elements that can be used as a template when preparing and submitting ML-based manuscripts for the same audience.
Delivering machine learning output in an agreed format.
Integrating machine learning models into an application for users’ self-service, if required.
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.
Continuous monitoring and tuning of ML models for greater accuracy.
Adding new data to the ML models for deeper insight.
Building new ML models to address new business and data analytics questions.
Why choose ardas
Every hour of work is used efficiently.
Every movement and every hour paid for makes sense
The same team that is assessing your project will work on the project that’s our estimates hit on 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
We’ve developed 3 own SaaS and more than 70 clients’ SaaS products, so we know exactly how to make your startup an unicorn
Budget in Control
No unplanned expenditure . We report on the time spent and plan the development of all subsequent stages
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 in order 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 prognosis for 90 days is made. We analyze when users logs in, what purchases he makes, his 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 one extra minute reduces conversion by 2%. Reduced time of VIP client processing twice. Finally, 2% of VIP clients bring 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.