SkyLabs division of TwixSoft is responsible for developing Aircraft Predictive Maintenance, unmanned flying aircraft, and autonomous flying drones. Predictive analytics and fault diagnostics of high-value engineering systems often involve processing of real-time sensor data to deduct impeding or hidden problems within the underlying system. To achieve this, it is necessary to condition the data from sensors and thereafter combine it with prior design knowledge of the system in order to create useful insights. The benefits of such analytics include abilities to prevent costly failures and cost-effective scheduling of maintenance cycles. To implement such a system, it is necessary to create a setup that can effectively enable data capture, data conditioning, secure transmission, database storage and execute real-time data analytics algorithms. Most of the cloud-enabled IoT platforms are evolving in this direction while addressing different domains such as engineering systems, retail data processing, and surveillance applications.
Ocean labs is working on solutions for marine and shipping industry including container tracking, ships counting, autonomous ships, ocean water temperature monitoring. Autonomous shipping presents many challenges. Disparate visual and positional sensor data must be detected, processed, and analyzed at the edge, all in real-time. With shipping, the data from these sensors are at greater scale than in other autonomous vehicle applications. For example, LIDAR sensors in shipping vessels must detect objects from several kilometers away, often in difficult weather conditions. Shipping vessels also need cameras with far-higher pixel count to see objects in, on, and over the water at distances of several kilometers, which means that large digital images must be processed for great detail. In addition, shipping vessels need to be outfitted with thermal, radar, and other sensors, all of which need to be fused together in order to read the environment. These sensors can produce enormous amounts of data – as much as 1TB of data per day, per vessel, about the same digital footprint as 250 high-definition feature-length movies.
Earthlabs division is working on AI-powered solutions for agriculture, cattle farming and green energy. There are few areas of ag that AI doesn't have the potential to revolutionize. Ag is all about complex judgements on the part of the farmer that are oftentimes stewed down to simple rules of thumb because considering all of the variables becomes too confusing/frustrating and basic rules of thumb are typically fairly effective. However, there's a lot of error here that can be addressed with more data and AI. For instance: one of my family members would sell his wheat on a certain date because that particular date typically aligned with above average wheat prices, and doing predictive analysis on commodity prices to time the sale was practically impossible- he was neither equipped with the right tools or data to make this type of decision. These are the types of decisions that AI is uniquely capable of helping with in addition to: Timing plantings and making predictions on the right time to plant, apply fertilizers, harvest, bale, till, etc. based on climate data, historical conditions, market conditions for inputs and outputs, personal information.
Body Labs are working on solutions for early detection of disease. The earlier the disease is diagnosed, the more likely it will be cured or well controlled. However, diseases like cancer or Alzheimer’s can be hard to detect, hiding in our bodies before symptoms appear. Every case of cancer is unique since it is driven by personal occurrences of genetic mutations that can be present at birth or happen over time. Truly early detection will come about when we identify the genetic markers responsible for cancer or detect cancer DNA in a simple blood test; this is the new hope behind “liquid biopsies,” blood tests that can detect cancer early – a new market heavily invested by genomic companies in China and the U.S. Defining these genetic markers at personal and population levels with medical and statistical rigor will require machine-learning technologies to power comparative clinical studies of unprecedented scale. Additionally, DEEPAMINOS team is working on protein engineering via AI/ML.
FAU/MAX PLANCK (https://www.maxplanckflorida.org) & TWIXSOFT LABS is a public-private technology accelerator located on the campus of BEHAVIORAL SCIENCE of FAU in Boca Raton, FL. More than 80 students are working on various Artificial intelligence ML/DL projects at this location. TWIXSOFT is excited to form a JOINT-VENTURE with FAU/MAX PLANCK in efforts to cultivate, promote, accelerate and commercialize jointly developed IP for future technologies in artificial intelligence ML/DL areas.
Hyperledger is a distributed, open-source ledger or framework based on Blockchain technology that uses smart contract application on enterprises and ventures. The cynosure of the Hyperledger is to advance cross-industry collaboration by creating blockchains and distributed ledgers with the main aim of improving reliability and performance of the blockchain. The Hyperledger is created with the sole aim of supporting open protocols and standards across industries. It acts as an intermediary for decentralized digital communities.
Supply chain is the process involved from the inception of producing goods to delivering it to the end customer. Blockchain can be integrated in the Supply chain process to make it easier and transparent. Each Blockchain contains a set of transactions entered in the distributed public ledger. Supply chain is further used to make the shared ledger details more transparent and secured between businesses. By using Blockchain in Supply chain, you can take a more novel approach or create a secured peer-to-peer network. Without any third party intervention the Blockchain then is less prone to manipulation.
The first element distinguishing a well-prepared company is the presence of a brand code. Now you can create a company's DNA and understand how your product or service is useful to the consumer. A quality brand code makes it possible to answer the main questions, and help you grow as a business. What is included: Mission/business scope; Vision; Value propositions; Slogan; Style; Targeting; Product/usefulness; After this stage begins market segmentation by 6W method which allows you to see who will be your customers and how you can provide your services / benefits to them. And, in the context of fund-raising, the availability of ready-made brand code will allow investors, as well as your team get clear vision on what the service / product is all about. On the other hand it helps to understand where the weakest and most vulnerable places of the startup are. The results will save you a lot of money during the marketing campaign and will save time for your team at every stage of the business development.
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Develop, test, and deploy AI powered applications faster with high-quality, customized solutions from Twixsoft. We are a leading AI developer with an interactive and engaging approach to AI-driven solutions. Our technology implimentation is geared towards producing results that matter to both clients and intended users. Schedule your free 30-minute consultation to see how your company can benefit from TwixSoft expertise
We work with 35+ PhD level Data Scientists experienced working with various algorithms and DATA Science techniques. Deep Learning is the DATA Science technique which has immense potential to generate unprecedented insights from your data. At DATA LABS, we are very passionate about Deep Learning and we can help you experience the benefits of Deep Learning for your business and we can advise you on your current or next Data project.
We work with many industry experts and their teams in collaborative effort to ensure their vision becomes a reality in a timely fashion. No job is too big or too complex.
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