This isn’t our first rodeo! We launched our first machine learning solution in 2017. We’ll partner with you to build self-learning systems that use algorithms and statistical models to identify patterns in data and make predictions.
Identify the likelihood of future outcomes based on historical data
Build custom solutions that help drive efficiency such as chatbots and intelligent assistants
Make informed decisions about the future by predicting events and finding trends.
Analyze customer behaviors and deliver personalized experiences that drive loyalty
Create systems that recommend the next best action based on past results
Determine outliers and or fraudulent data points to take action sooner
Senior level solution architect with a vast history of Machine Learning projects. Most notably, Oleksandr implemented a model that allows EV station owners to predict which stations were available to charge the vehicles. This was a massive undertaking that operates the largest EV market in Europe.
8 Years Experience with NineTwoThree
CERTIFICATIONS
• AWS Certified Solutions Architect
• Machine Learning with TensorFlow Google Certified
• Google Data Analytics Professional Certificate
• AWS Certified Clout Practitioner
• Master in Computer Science, with MBA
Senior Level Data Scientist with world renowned results for NLP models in both the Human Resource hiring process for a major USA company and replicating therapists - scoring equivalent to humans using GPT-3. Also supported the EV charger station project for the US market.
4 Years Experience with NineTwoThree
• Machine Learning Neural Networks Certificate
• Improving Deep Neural Networks Certificate
• Convolutional Neural Networks Certificate
• Natural Language Processing with Vectors Spaces (Deeplearning.ai)
• Statistical Inference from John Hopkins University
Skilled Data Scientist with 4-years experience in computer vision, clustering analysis, object detection and tabular data classification. Also well acquainted with classification, decision trees, data pre-processing, cleaning, as well as neural networks.
4 Years Experience with NineTwoThree
• MLOps Professional Training Program
• AWS Cloud Practitioner
• Computer Vision and Artificial Intelligence from Abto
• Natural Language Processing with Vectors Spaces (Deeplearning.ai)
• Statistical Inference from John Hopkins University
Skilled Data Scientist with experience in computer vision, clustering analysis, object detection and tabular data classification. Built out a prediction model for 3d CT scans to predict the lungs capacity to detect pulmonary fibrosis for a major medical research company in Sweden.
2 Years Experience with NineTwoThree
• Deep Learning DeepMind Certified Course
• CNN DeepMind Course Certification
Aquafalcon monitors fish in pens in real-time so they can detect harmful lice and proactively protect their fish farms.
Google Maps crunches on data to learn historical patterns, then predict the best options for people’s routes.
Spotify knows what you like based on your listening patterns and uses that knowledge curate the perfect playlist.
eCommerce companies can send promotions to customers based on their inclination to buy with or without coupons.
Hospitals can treat patients based on the likelihood of re-admittance and prioritize those who will need more care.
We’ve built so many machine learning apps for startups, scale-ups and enterprises that we have over 150 standard operating procedures on using data to transform your business. Our projects are always delivered on time and within 7% of budget.
You might not need to predict traffic, suggest shows or match lovers.
But we’re sure you want to use computers + data to improve your business.
Your business is unique. Your web and mobile apps should be too. That’s why we build everything from scratch, every time.
Your needs can change based on the market. We grow or shrink with you because your needs are our priority.
We meet weekly and give you access to our tools so you always know what’s going on with your app.
We’ve been doing this for so long that we know exactly what it takes. Our last 27 projects finished 7% within budget.
We are the best because we hire the best and all of our developers have been on the team for over a year.
We get it right the first time so you can forecast the future and meet your goals.
Dataflik helps real estate investors improve their business marketing operations. NineTwoThree built the machine learning model that generates prioritized lists of motivated sellers faster and more accurately than a human expert.
This mental health company connects individuals to certified mental health professionals to prescribe ESA Letters.
Videosnap creates social media content with overlaid text extracted from just an audio file. We innovated the process in less than three months and created an MVP that raised.
We’ll jump on the call. Yes, Andrew and Pavel - the founders. Not some sales rep.Tell us everything about your vision, the company, your ambitions and your target audience.
We aim to make CEOs and CTOs look like heroes to their customers.
We excel at helping companies solve complex engineering problems that result in world class mobile and web applications.
Try us out, it's free to contact us - we love ideating.
After our first call we’ll sign the NDA’s bring on our team. You’ll meet our data scientists who will talk to your engineers and anyone else who is associated with the project for an in-depth exploration.
We’ll learn more about your business processes and how you store data, the history of your data, and the systems you’re already using. We’ll map the full picture of the best solution to build together and make sure there’s a good fit to work together.
If there’s a good fit, then we’re ready to start work! During the landscaping phase we’ll focus on measuring the predictive ability of your data. Based on our ideas from technical planning, we’ll create a small, achievable prototype that takes 2-6 weeks to build. We’ll assign a team including an engineer, product manager, and project manager that will experiment with your data and make sure we can achieve your goals with the right models.
After the landscaping phase we’ll deliver the prototype along with a report on our findings on how to use your data. Based on our findings, we’ll build a data pipeline that will produce the insights you need and retrain it until we have the right results. We’’ll then build out a roadmap on how to implement machine learning into your business based on data sources, data storage, and machine learning modeling best practices.
1. What is AI vs machine learning?
Artificial intelligence and machine learning are often grouped together but there are slight differences to be aware of. Artificial intelligence is most often targeted at simulating human behavior while machine learning is more like a computer using the information to improve its own intelligence.
2. Why is machine learning used?
Machine learning is becoming a widely-used tool because it has so many applications along with the potential to grow and improve as a solution with time. Implemented correctly, machine learning solutions can bring plenty of benefits that can improve or automate business processes and more.
3. Who uses machine learning?
Machine learning is used in all kinds of technology use cases, from social media networks to self-driving cars, banking, online shopping, and even voice recognition or language processing. This means these solutions are implemented by a variety of industries around the world.
4. What is the purpose of artificial intelligence?
There is a general overarching goal when it comes to artificial intelligence, and that is to create software that is not only able to process inputs and outputs but also to develop its own reasoning behind those decisions without a human guiding it.
5. What is deep learning and how does it work?
Deep learning is a subset of artificial intelligence and machine learning that use detailed and multi-layered data structures in order to represent that data in multiple ways when outputting the end result. It’s essentially a neural network that makes use of at least three layers and is a simpler mimic of the human brain’s functioning.
