AI Development Company
ELASTECH is an AI development company. We provide AI/ML services to make your business more competitive with intelligent automation and data-driven insights.
predict business problems With AI
AI and ML technologies enable your applications to work smarter and faster. ELASTECH’s AI development services utilize data rules to make accurate predictions, matching old data with any new data: forecasting system demands, budget planning, fraud detection, medical diagnoses, and potential defects from manufacturing processes.
predict business problems With AI
AI Development Services We Offer
Machine Learning Development Services
ELASTECH implements machine learning technology to optimize the performance of your systems when handling new data. Achieve critical insights through statistical methods to gain conclusions from your data.
Data Mining & Data Lake Creation
We enable organizations to harness the value of more data from more sources in less time, and empower users to collaborate, and analyze data in different ways, resulting in better and faster decision ability.
Bots and Process Automation
Combining AI with Bots is an effective way to streamline processes and reduce the need for manual labor, saving time and money. Whether it is process automation, customer support, or data analysis; we help you find and implement the right solution.
Natural Language Processing (NLP)
NLP is the ability of a computer program to understand human language. ELASTECH helps automate and streamline your interactions with customers, partners, and vendors by using NLP to drive value and profits.
Image Processing
AI/ML algorithms are leveraged to process and interpret images the same way as a human brain. We leverage AI/ML for object identification, streamlining medical diagnoses, navigating self-driving cars, facial recognition, and everything in between.
Data Driven IoT
ELASTECH helps you leverage connected devices and collect valuable data that can be used to improve the business value you offer clients. We consult and deliver turn-key IoT solutions to maximize ROI.
AI/ML Technologies
AI/ML Platforms
Machine Learning Frameworks
MLlib
MLlib is Apache Spark’s machine learning (ML) library. Its goal is to make practical machine learning scalable and easy. At a high level, it provides tools such as: ML Algorithms: common learning algorithms such as classification, regression, clustering, and collaborative filtering.
Caffe
Caffe is a deep learning framework written in C++, with a Python interface. The framework is developed with expression, speed, and modularity, in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors.
TensorFlow
Created by the Google Brain team, TensorFlow is an open source library for numerical computation and large-scale machine learning. It bundles together machine learning and neural networking algorithms and makes them useful by way of a common metaphor.
Keras
Keras is a high-level, deep learning API developed by Google for implementing neural networks. It is written in Python and is used to make the implementation of neural networks easy. It also supports multiple backend neural network computation.
PyTorch
Based on the Torch library, PyTorch is an open source machine learning framework for Python. It is principally developed to be flexible and modular for research, while also providing the stability along with the necessary support for production deployment.
WEKA
Waikato Environment for Knowledge Analysis (WEKA) is a collection of machine learning algorithms for data mining tasks. It contains a slew of tools for data preparation, classification, regression, clustering, association rules mining, and visualization.
Machine Learning Libraries & Tools
Gensim
Gensim is an open-source library for unsupervised topic modeling, document indexing, retrieval by similarity, and other natural language processing functionalities, using modern statistical machine learning. Bui
SpaCy
spaCy is an open-source library for NLP in Python written in Cython. spaCy is designed to make it easy to build systems for information extraction or general-purpose natural language processing.
Theano
Theano is a Python library that allows to efficiently evaluate mathematical operations including multi-dimensional arrays. It is mostly used in building Deep Learning Projects. It works a way more faster on Graphics Processing Unit (GPU) rather than on CPU.
Amazon Machine Learning
Amazon Machine Learning is an Amazon Web Services product that allows a developer to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns and then create and implement predictive applications.
Scikit-Learn
Built on NumPy, SciPy, and matplotlib, Scikit-learn is an open source module for Python that works on any numeric data stored as numpy arrays or scipy sparse matrices. Scikit-learn leveraged by Fortune 500 companies such as JP Morgan.
AI Development Services for a Global camera Brand
AI/ML models help photographers understand how to perfect their art
HOW YOU BENEFIT FROM AI DEVELOPMENT SERVICES
Faster Delivery
Deliver projects 57% faster than traditional delivery approaches.
Reliability
Expertise to deliver all
planned features and functionality, every time.
Business Relevance
Achieve competitive
advantage with real business solutions.
Reduced Risk
Reduce risk by 94%, effectively eliminating the re-work.
No Headaches
Desired outcomes without third-party developer challenges.
AI is changing the game for business leaders by developing competitive advantages. To explore how and where this modern technology can benefit your business, contact ELASTECH, a recognized AI development company.
AI is changing the game for business leaders by developing competitive advantages. To explore how and where this modern technology can benefit your business, contact ELASTECH, a recognized AI development company.
How companies need to play in order to win the war for talent
With Artificial Intelligence (AI), companies do more with less by automating extraordinary, but manual and time-consuming tasks. AI is frequently used to extract new insights, transform decision-making, and drive improved business outcomes.
Machine Learning (ML) is the study of statistical models and algorithms which is helpful to perform specific tasks. ML is a subset of AI that helps systems to learn and improve from experience without being programmed.
AI and ML work together to enable machines to think and act like humans. AI stands for Artificial Intelligence, which is a broad concept that involves teaching machines to perform tasks such as problem-solving, reasoning, and decision-making in order to solve complex problems. ML stands for Machine Learning, which is a more specific type of AI that focuses on teaching machines how to learn and adapt through experience. Together, AI and ML are used in precision analytics to recognize objects and draw conclusions from data sets, as well as to automate analytical model building from huge data sets to gain insights.
The following are the primary advantages of AI:
- AI drives down the time taken to perform a task
- AI enables multi-tasking and eases the workload for existing resources
- AI enables the execution of hitherto complex tasks without significant cost outlays
- AI operates 24×7 without interruption or breaks and has no downtime
- AI augments the capabilities of differently abled individuals
- AI has mass market potential, it can be deployed across industries
- AI facilitates decision-making by making the process faster and smarter
Computer vision is a field of Artificial Intelligence (AI) that enables computers to derive information from images, videos, and other inputs. Computer Vision mimics the human brain’s capability of recognizing visual information. Its algorithms detect facial features in images and compare them with databases of face profiles. It uses pattern recognition algorithms to train computers on a massive amount of visual data, and most computer vision algorithms were developed on general-purpose computer systems with software written in a high-level language.
Natural language processing (NLP) is a branch of Artificial Intelligence that is used to process and understand human language. It combines the studies of data science, computer science, and linguistics to understand language much as humans do. The main benefit of NLP is that it improves the way humans and computers communicate with each other. It also allows for large-scale analysis, provides a more objective and accurate analysis, streamlines daily processes, improves customer satisfaction, better understands markets, empowers employees, and gives real, actionable insights.
As an AI Development Company, ELASTECH delivers a wide range of applications to organizations across industries, leveraging Artificial intelligence and Machine Learning technology. Here are some common applications we have built:
- Used Natural language processing (NLP) technology to process and analyze human languages, such as chatbots, sentiment analysis tools, and language translation services.
- Processing applications that use AI and ML to analyze and interpret images and videos, such as facial recognition software, object detection and tracking tools, and video analytics platforms.
- Predictive analytics systems that utilize AI and ML to analyze historical data and predict future outcomes. Examples are predictive maintenance tools for manufacturers, fraud detection systems for banks, and recommendation engines for online merchants.
- AI/ML-based speech recognition and synthesis applications, such as speech-to-text tools, virtual assistants, and voice-activated devices
- We used Intelligent Robotic Process Automation (RPA) technology to automate repetitive tasks, such as data entry and processing, email filtering, and customer service responses
- FinTech applications that use AI and ML to analyze financial data and make investment decisions, such as algorithmic trading systems and risk management tools.
- Healthcare applications that leverage AI/ML to improve healthcare results, such as medical image analysis, personalized medicine, and patient monitoring systems.
ELASTECH has varied offerings regarding AI Development. The cost of a planning workshop to confirm project requirements and validate a technical design starts at $5k. If you already have your project plan, we offer a “Phase 0” validation for $3k. “Phase 0” validation serves as a planning phase to get your requirements approved by a recognized and trusted AI Development Company. Both, a planning workshop and a “Phase 0” validation, are stand-alone offers that will provide you with guidance and a complete roadmap to deliver (whether or not you choose ELASTECH as your implementation partner). We can also build a Prototype (PoC or MVP) to confirm the technical feasibility and business value of your AI/ML project. Prototypes start at $10k. AI/ML development starts at $15k for a small-scale project. For enterprise AI/ML solutions, end costs typically range from $50k to $1+m.
ELASTECH provides Planning Workshops as well as “Phase 0” Validations that can be completed within 2 weeks. PoCs and MVPs are delivered within 30 to 60 days. Moreover, we are an AI development company recognized for delivering final products faster and with all required features. Therefore, small-scale AI development projects are completed within 90 days. For enterprise solutions, we typically deliver each phase within 90 days so that we are always demonstrating progress.