Surpass competitors with the cutting-edge power of artificial intelligence solutions.
Elevate your buisness effortlessly with AI-Driven solutions that conquer key challenges through technology.
Revolutionize Your Operations and Ignite Business Brilliance with the Enchantment of AI-Powered Applications
Artificial Intelligence (AI) provides cutting-edge solutions that can help your business solve problems, automate tasks, and serve your customers better. AI-based systems excel at tasks like suggesting products users may like, recognizing objects in pictures, and automating monotonous jobs to help people save time.
WHAT WE DO
Embark on Limitless Transformation – Harness the Versatility of AI Solutions Across Every Industry and Sector.
Increase sales
49% of customers are willing to purchase more frequently when AI is present.
Improve productivity
Artificial Intelligence technologies are projected to increase labor productivity by up to 40% by 2035.
Analyze large volumes of data
AI gives apps the ability to learn and improve over time. It is extremely adept at quickly identifying patterns and trends.
Improve customer satisfaction
75% of enterprises using AI and machine learning enhance customer satisfaction by more than 10%.
Airbnb enjoys nearly a 4% lift in booking conversions thanks to AI solutions
Airbnb has successfully used AI to create new products, improve its service, and take advantage of new marketing strategies. In addition, it has leveraged machine learning to detect host preferences.
For each search query that a guest enters, Airbnb’s model computes the likelihood that relevant hosts will want to accommodate the guest’s request. In A/B testing, the model showed about a 3.75% increase in booking conversions, resulting in many more matches on Airbnb.
Step into AI Excellence with Unmatched Confidence – Allow Us to Expertly Guide You in Finding Your Ideal Solution to Kickstart an Exciting AI Project
Unlock a Universe of Tailored AI Solutions, Crafted Exclusively to Elevate Every Nuance of Your Unique Business Demands
Data Engineering
Prepare your data to make the most of AI algorithms
Data Science
Uncover meaningful insights to improve your products or services
Recommender Systems
Create a personalized experience for every user, thanks to an accurate recommendation system
Natural Language Processing
Build natural interactions with your users and identify patterns in unstructured data
Computer Vision
Automate difficult decision-making processes based on images
Audio Recognition
Identify patterns in audio data, enabling voice communication using a range of devices
Discover the Unrivaled Power of Process Excellence – Where the Right Approach Becomes Your Ultimate Competitive Edge
Through Years of Dedication, We’ve Forged an Unyielding Path in AI Project Development. Our Methodology Delivers Resilient Workflows, Ensuring Swifter, More Adaptable, and Consistently Superior Results for Our Valued Clients.At the Core of Our Success Lie Three Distinct Stages people save time.
AI Primer Workshops
A 6-hour workshop that provides a deep dive into AI adoption potential, delivering a personalized report with AI implementation ideas based on business impact and effort.
AI Solution Design Sprint
A comprehensive service that transforms your business problem into an actionable AI solution through a two-day workshop, including integration into your existing ecosystem, solution comparison, data governance strategy, risk identification, and monitoring strategy implementation.
Data Engineering
A tailored service that establishes a robust data infrastructure for your business, offering complex data migrations, data source consolidation and integration, data lake and warehouse construction, and data pipeline performance optimization.
AI Proof-of-Concept
A time-boxed validation process that assesses the feasibility of implementing an AI solution using your data, addressing potential risks and expediting results for your full machine learning project.
AI MVP Implementation
A service that bridges the gap between prototype and production for ML models, improving speed, prediction quality, cost-effectiveness, and other aspects for deployment onto production..
What is Artificial Intelligence?
Artificial Intelligence (AI), the luminary creation of our digital age, unveils a realm where machines metamorphose into sentient minds. AI is the art of imbuing computer systems with the power to replicate human intelligence, enabling them to discern, reason, learn, and adapt. At its core, AI is a symphony of algorithms orchestrating a ballet of data, where patterns are uncovered, insights gleaned, and solutions conceived with a precision that befits the finest artisans. It’s the magic of language translated into lines of code, the capacity to perceive the world as humans do, and the bridge between imagination and realization. AI propels us beyond the ordinary, catapulting us into a future where machines don’t just serve us, but collaborate, strategize, and innovate alongside us. Welcome to the threshold of a new era, where intelligence finds itself woven into the very fabric of technology.Envision a realm where the lines between the artificial and the real blur, where machines take on a semblance of human cognition. This is the captivating realm of Artificial Intelligence (AI), a scientific marvel that empowers computers to emulate human intelligence in ways that challenge the limits of imagination. AI is the fusion of innovation and computation, where algorithms evolve into digital minds capable of perceiving patterns, extracting insights, and making decisions with a sagacity that mirrors our own. It’s the magic behind self-driving cars navigating bustling streets, virtual assistants anticipating our needs, and medical diagnoses powered by data-driven intuition. As we traverse this electrifying landscape of AI, we tread on the precipice of a transformative era, where machines are not merely tools, but comrades in the grand journey of innovation
What data can you use for building AI solutions, and how do you do it?
Developers who want to design AI solutions need to train algorithms on a set of diverse data – for example, a collection of images, text, or specific information like financial transactions or products viewed by users.
You can buy prepackaged data, take advantage of public crowdsourcing initiatives (such as the Amazon Mechanical Turk), or – when dealing with potentially sensitive data – hire private crowds of data science specialists able to help you out with data collection, identification, and labeling services.
The dataset used for training needs to include a sufficient number of both positive and negative examples to help algorithms learn from it. For instance, if we want our algorithm to identify cranes in pictures, we need to show it pictures with cranes and without them.
The developer or data scientist may experiment with different algorithms before deciding which one is the best fit for the training data. But that’s not everything. We also need to provide the developer with a test set – a dataset used to test the model developed on the basis of the training data for evaluation, analysis, and improvement.
What is the future of AI and Machine Learning?
The future of AI and Machine Learning (ML) unfolds as a landscape of boundless potential, where innovation meets imagination to reshape industries, societies, and human experiences. AI and ML are poised to become ever more integral, permeating various facets of our lives.
In the realm of automation, AI and ML will revolutionize industries by streamlining processes, enhancing productivity, and minimizing human intervention. Smart factories and autonomous vehicles will epitomize this transformation, amplifying efficiency and safety.
Personalization will ascend to new heights as AI fine-tunes recommendations, curates content, and tailors experiences to individual preferences. From entertainment to healthcare, AI-driven personalization will craft a world that seamlessly adapts to us.
Healthcare will undergo a metamorphosis as AI accelerates diagnostics, predicts disease outbreaks, and advances drug discovery. With AI’s prowess, precision medicine will unlock treatments tailored to genetics and individual biology.
Ethics and responsible AI will take center stage, demanding a conscientious approach to AI development and deployment. The future hinges on ensuring AI aligns with human values and respects privacy.
AI’s convergence with augmented reality will birth immersive experiences that redefine entertainment, education, and collaboration. Imagine interactive learning environments, lifelike virtual concerts, and workplaces transcending geographical boundaries.
However, challenges persist, from navigating AI’s ethical dimensions to addressing potential job displacement. Striking a balance between technological advancement and societal well-being will be pivotal.
The future of AI and ML is an intricate mosaic, where technological leaps harmonize with human aspirations, forging a tomorrow that both astonishes and empowers.
Discover the Power of AI with Our Comprehensive Services
Why RAIBS should be your AI partner?
Practical AI focus
We specialize in translating tech trends into practical and commercially viable AI applications.
Diverse AI team
Diverse group of experts, including researchers, product managers, and engineers, ensuring comprehensive solutions.
Industry Experience
Hands-on exprience with unique challenges and opportunities in Finance, Retail, Proptech, and Healthtech.
One-stop Partner
Comprehensive range of services, including AI, consulting, product design, mobile and web development and more.
Frequently asked questions
It can be difficult to provide a ballpark figure for enterprise software development projects. Adding AI services makes it even more challenging. Estimating your project depends on many factors, such as what challenges your company is trying to solve, what AI solutions, software, or tools would best serve your company, what your expectations are in terms of accuracy, and more. For a more definitive answer, get in touch, and one of our experts will talk you through suitable AI solutions and give you an estimate based on an analysis of your precise requirements.
Raibs offers a variety of services, from data collection strategy to building a scalable machine learning infrastructure.
AI Design Sprint – rapidly validate your machine learning project
ML Processes Audit – verify your machine learning delivery processes
Data Quality Assessment – plan your data collection strategy
ML-Ops Transformation – build a scalable machine learning infrastructure
Data-Ops Transformation – build a scalable data infrastructure
AI solutions can bring you more customers, increase sales, and reduce business costs. However, if not used properly, they could lead to an outflow of customers, money loss, and reputational damage.
Data is the key to success when implementing AI solutions. In traditional software development, humans create computer systems, and machines simply follow these pre-programmed rules. Thus, the crucial part of an application is the algorithm behind it.
There are hundreds of business applications for AI solutions. In general, they are used to develop software and tools that can help your company solve several types of problems. The main ones are:
Classification: Is this credit card transaction fraudulent or not? Is this email spam or not? Machine learning is a great tool when you need to divide objects (for example, customers or products) into two or more pre-defined groups.
Clustering: ML discovers patterns in chaos. It enables those who use it to find parallels between data points and divide objects into similar groups (clusters). Importantly, there is no need to define the groups in advance.
Regression: It’s like a future prediction. On the basis of an input from a dataset, ML estimates the most likely numeric value of a particular quantity. It could be anything, such as stock or real estate prices, consumer behavior, or wear and tear on a piece of equipment within your company.
Dimensionality reduction: In an ocean of information, ML can choose which data is the most significant and how it can be summarised. In practice, it is applied in such fields as photo processing and text analysis.
Although AI solutions offer your company numerous new options, there are situations when it’s better to stick with traditional software methods.
When are you better off avoiding AI solutions?
You don’t have enough data: AI solutions are designed to work with huge amounts of data. Really huge. More than 100k records is a good start. If the training dataset is too small, then the system’s decisions will be biased.
Data is too noisy: “Noise” in AI is the irrelevant information in a dataset. If there is too much of it, the computer might memorize noise.
You don’t have much time (and money): AI solutions can be time- and resource-intensive. First, data scientists need to prepare a dataset (if they don’t do it, see point no. 2). Then, the computer needs some time to learn. Then the IT team performs tests and adjusts the algorithm. Then, the computer needs some time to learn again. IT does some testing and adjusts the algorithm. The computer goes back to learning. The cycle repeats over and over again. The more time is needed, the more you need to pay IT specialists.
You have a simple problem to solve.
To sum up: AI helps find patterns in the chaos of big datasets. It is worth considering when you have a complex task to solve, or if you’re dealing with a large volume of data and lots of variables. But this method has its limits. It’s better not to choose it if you are limited by time or the amount or quality of available data.
