Add innovative AI capabilities to your business and improve performance with services powered by Sherpa.ai

Sherpa.ai provides leading, scalable, versatile Artificial Intelligence solutions to ensure the success of your business, through a set of applications and toolkits that can easily be deployed across any framework or use case, taking into account user privacy and data security.

Scale

End-to-End

Any Framework

Security

Platforms & Solutions

Sherpa.ai provides leading, scalable, versatile AI solutions to ensure the success of your algorithms, through a set of APIs and SDKs that let developers access state-of-the-art AI and easily build AI-powered applications.

Conversational AI

Sherpa.ai Conversational AI is a service for creating speech and text dialogue interfaces. Start asking questions and quickly get answers from a wide range of domains, such as sports, stock market, restaurants, and events.

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Recommendation and Predictive AI

Sherpa.ai provides general purpose solutions for anticipating user preferences and tailoring recommendations. Include personalized, ad hoc recommendations made by AI models in your products and services.

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Privacy AI

The Sherpa.ai Federated Learning and Differential Privacy Framework is a secure computing framework that provides a solution for collaboration, while protecting data privacy. Implement modular, agnostic Machine Learning that supports real-life business improvements.

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Use Cases

Utilities

Create an Intelligent, Conversational Household Sidekick

By using Sherpa.ai Conversational AI, an appliance manufacturer with a wide array of products can add value to their business by innovatively facilitating users' day-to-day tasks.

Utilities

Develop Mobile-Connected Smart Speakers

Allow your users to interact with a smart speaker that connects to their mobile device, so they can ask all kinds of questions and perform a variety of tasks and actions. Simply by speaking naturally, users can receive verbal and visual feedback from prebuilt or private domains.

Automotive

Integrate a Smart Voice Assistant Into Vehicles

Automakers can easily integrate Sherpa.ai’s systems to make their vehicles intelligent, converting the conventional car into an intelligent, modern-day “KITT.”

Automotive

Anticipate Destinations with Personalized Next Place Predictions

Automotive brands with entertainment systems installed in their vehicles can add value to their business, by creating personalized, predictive, in-car suggestions for their users. If a user tends to travel to certain destinations at specific times, the in-car entertainment system can use that knowledge to predict the destination and directions.

Media

Enhance Entertainment with Custom Content TV & Movie Recommendations

By using Sherpa.ai Recommendation and Predictive AI, a television service provider that offers cross-device viewing options can add value to their business through the creation of personalized recommendations for their users.

Media

Keep Users Up-To-Date with Prebuilt News Recommendations

Using Sherpa.ai Recommendation and Predictive AI, written communication media and blogs with users across multiple platforms are adding value to their business by personalizing content, news, and newsletters. Sherpa.ai’s algorithms analyze the behavior and history of each user to generate personalized content and unique experiences for each user or reader that increase their satisfaction and reading rates.

Healthcare

Improve Diagnostics and Care Using Secure and Private Patient Data

Sensitive data from the healthcare industry is subject to strict data protection regulations. In order to learn from healthcare information and share patient data securely, Federated Learning can be employed so that medical institutions can ensure data privacy, while providing patients with the most advanced processes, diagnostic tools, and care possible.

Security

Keep Funds Secure Without Sharing Customer Data

Banks and financial institutions can use Federated Learning to identify money laundering transactions by using private transaction data to build more capable models. All banks using the same system benefit from each other’s transaction data, without exposing their own raw data or customers' data to competitors.

R&D

Advance Research Using a Private Framework

Universities and research institutions can use Federated Learning to anonymously combine their efforts, advance their research, and amplify their findings, while ensuring their data remains private, thanks to a Federated Framework.

Media

Improve Users’ Experience with Personalized TV Content Recommendations

Using Sherpa.ai Recommendation and Predictive AI, any television service provider or OEM can add value to their business by generating personalized content recommendations for their users.

Media

Keep Users Up-To-Date with Prebuilt News Recommendations

Using Sherpa.ai Recommendation and Predictive AI, written communication media and blogs with users across multiple platforms are adding value to their business by personalizing content, news, and newsletters. Sherpa.ai’s algorithms analyze the behavior and history of each user to generate personalized content and unique experiences for each user or reader that increase their satisfaction and reading rates.

Security

Deploy Industry 4.0 without Disclosing Sensitive Data

Companies providing operations and maintenance services to customers across the globe can benefit from Sherpa.ai Federated Learning and Differential Privacy by learning from all equipment data available, without disclosing any sensitive customer data. Through anonymous collaboration, plants, machines, and factories of all sizes can be run more efficiently and intelligently, while private data remains protected.

Security

Train Automatic Surveillance Models while Ensuring Privacy

AI models applied to surveillance systems usually face a privacy wall when they contain sensitive data. These models would greatly benefit from the ability to learn from all the information collected by tracking, monitoring, and automated security devices. The Sherpa.ai Data Privacy AI platform ensures the privacy of data, while offering a way to increase security and protection measures, using Artificial Intelligence techniques.

Security

Facilitate Edge Computing and Train Models at the Data Source

The rapid development of devices with increasing computational capabilities, such as mobile and IoT devices, has created the opportunity to learn complex models and decentralize data, using Edge Computing. The Sherpa.ai Data Privacy AI platform helps to improve Machine Learning models on distributed devices by sharing global information among nodes, while ensuring data remains private on each device.

Healthcare

Improve Diagnostics and Care Using Secure and Private Patient Data

Sensitive data from the healthcare industry is subject to strict data protection regulations. In order to learn from healthcare information and share patient data securely, Federated Learning can be employed so that medical institutions can ensure data privacy, while providing patients with the most advanced processes, diagnostic tools, and care possible.

Healthcare

Voice-Controlled Digital Assistant (appointments, follow-up, chronic illness management…)

The adoption of the use of chatbots in healthcare would provide faster and more simplified care, increase success in diagnoses, and allow a certain amount of automation of managerial tasks in overwhelmed healthcare systems, which would imply higher efficiency and productivity ratings. Patients could, among other things, request appointments, follow up on and monitor chronic illnesses, get answers to their medical concerns, get pharmacy help, be informed of any pathology, and make purchases from drugstores.

Healthcare

Reduce Diagnostic Errors, Thanks to Artificial Intelligence

The use of Sherpa.ai’s Artificial Intelligence and Machine Learning can play a huge role in helping doctors, not only in the early detection of diseases, but also in improving the diagnoses of said diseases. The analysis of massive amounts of combined data, such as unstructured data from radiology reports, blood work, electrocardiograms, etc., can be done using Artificial Intelligence and used to create simple reports to facilitate and improve the decisions made by doctors.

Healthcare

Predict Illnesses, Thanks to Artificial Intelligence

Sherpa.ai’s Artificial Intelligence is able to transform millions of data into knowledge and predictions that improve the follow-up treatment, values, and personalized care, and, ultimately, save lives. The early detection of chronic illnesses by identifying patients that are of the highest risk for potentially deadly diseases, as well as the predictive management of material resource demand, are just a couple examples.

Healthcare

Predict the Needs of Hospitals and Health Services

Sherpa.ai’s technology has been key in containing the COVID-19 epidemic and avoiding the collapse of ICUs, making it one of the most successful cases.

Telecommunications

Analysis of the Best Prices and Offers

Sherpa.ai allows telecommunications companies to increase sales by identifying the most relevant promotional offers and prices for each client, thanks to the Machine Learning algorithms that determine the best price or set of prices for each offer and sales promotion.

Telecommunications

Plan and Manage Networks More Efficiently

The proper management of communication channels is crucial for the outcome of telecommunications companies. With the arrival of 5G, it is even more pronounced. Sherpa.ai’s Artificial Intelligence technology is able to help telecommunications companies plan and manage networks more efficiently, better understand client behavior, and manage their finances more effectively. Thanks to the analysis based on usage data and demand forecasts based on Artificial Intelligence models, the efficiency of processes can be improved.

Telecommunications

Digital Assistants as a Customer Service Channel

Allow your clients to have a more natural and efficient communication channel. Anyone can interact with a smart assistant for customer service, incident management, or to interact with a company’s products or services and carry out any number of tasks or actions. In a natural way, users can interact verbally and visually.

Retail

Personalized Fashion in Real Time

By using Sherpa.ai Custom Content Recommendations, a clothing retailer can personalize item suggestions for their users, and even help them craft an outfit, based on products they have previously interacted with by purchasing, viewing, clicking, sharing, adding them to their shopping bag or wish list, etc. Plus, if a client adds a blazer to their shopping bag, the retailer can employ cross-selling and offer complementary products.

Retail

AI-based Return Probability Scoring

These days, there are many clients that take advantage of returns. The exchange policy of large companies has pulled the entire retail sector into a fast, easy, free return model, all without having to leave home. For the online textile industry trying to find their place in online sales, it has become almost mandatory in order to attract clients, which comes at a very high cost. Full returns, when customers do not keep any of the items, are the most damaging. Therefore, Sherpa.ai conducts scoring to predict the probability that a client will return a product, before they even buy it, and calculates the probability that a shopper will return a product using a specific method. Using these indicators, decisions can be made that help take specific action and thus reach the objectives that are laid out.

Retail

Complete Your Outfits

There are certain types of articles that are frequently purchased together. The detection of these commons sets of elements is typically called “frequent itemset mining.” All of the transactions are analyzed and association patterns are extracted to recommend relevant elements that are related and used along with the product that is being interacted with.

Retail

Stock Management

The smart management of stock helps to optimize stock, without having to keep a large inventory, reducing the capital invested in stock. In AI-based stock management, algorithms are used to optimize multiple objectives. The optimization prioritizes the objectives, based on the specific business objectives. • Grow in-store and online business • Anticipate and manage changes in trend • Avoid a shortage of stock • Avoid storing excess stock and, in turn, mitigate resource waste and reduce operative risk.

Retail

Physical Store Layout

Sherpa.ai’s technology can help maximize earnings for brick-and-mortar stores, thanks to the strategic placement of items. It detects and predicts what people are going to wear in different places across the globe, based on meteorological conditions, upcoming holidays and festivities, new events, etc. Through the use of Artificial Intelligence, demand for a particular item can be forecast, meaning that each place around the world and each user will be shown different articles of clothing, based on Artificial Intelligence and probability.

Retail

Price and Offer Management to Maximize Earnings

Sherpa.ai’s AI is able to determine the most appropriate price for each product, for each client, at a specific time. It updates thousands of prices automatically, as many times as necessary, using advanced AI techniques. The key to a smart pricing strategy is to obtain insights from data in real time. That way, companies can update their prices or present offers or promotions that adjust to the behavior and preferences of the client. Inventory previsions, company profits, and other external factors (such as competition) that can have an effect are accounted for.

Retail

Personalized Notifications

With the goal of incrementing the likelihood of purchase and augmenting interest in the app and the brand, Sherpa.ai’s Recommendation system allows Personalized Notifications to be generated for each individual. If a specific article crosses a determined user interest threshold, a notification can be generated. The interest level can be defined as a combination of multiple factors, such as “User Preference – Global Popularity Level,” and generate an individualized notification.

Retail

Artificial Intelligence Applied to Maximizing Business Activities

Sherpa.ai has a recommendation system that allows the maximum predictive power to be pulled from available data. Thanks to Artificial Intelligence, clients can personalize their recommendations to achieve the results they are looking for, interactions, income, or conversions, based on the goal they have in mind; such as maximizing profits, maximizing the number of product purchases, maximizing visits, or maximizing clicks.

Banking

Improve Risk Scoring Through the Use of Artificial Intelligence

When there is a credit application, Sherpa.ai’s technology is able to evaluate the risk of the person or the company in real time. To do so, profitability and leverage measures are used, along with a series of other variables, such as liquidity to calculate risk, which improves the risk analysis and the generation of scores is noticeably more precise. Thanks to Sherpa.ai’s Machine Learning-based systems, banks can generate credit risk models based on financial data, credit behavior, and consumer behavior. They can also identify when to increase or decrease a client’s line of credit, by calibrating the institution’s risk tolerance.

Banking

Keep Funds Secure Without Sharing Customer Data

Banks and financial institutions can use Federated Learning to identify money laundering transactions by using private transaction data to build more capable models. All banks using the same system benefit from each other’s transaction data, without exposing their own raw data or customers’ data to competitors.

Banking

Predict Defaults, Thanks to Artificial Intelligence

Banks lose a large percentage of their margin due to defaults on payments. To avoid such a situation, they should predict the possibility that a potential borrower will default, before granting them a loan. Through the use of Artificial Intelligence models and techniques, the entities can automatically generate a scorecard or client file that contemplates and combines various aspects of the borrower, such as their income or occupation, and use the outcome to determine the loan decision.

Banking

Manage Documents Efficiently, Thanks to Artificial Intelligence

To improve document management in the financial sector, which is one of the most complicated to manage, Sherpa.ai allows each document to be modeled automatically or the ability to select the most relevant text from a template to streamline product registration, minimize wait times in offices, and automate less important tasks that do not require human supervision.

Banking

Detect Fraud, Thanks to Artificial Intelligence

Sherpa.ai’s Machine Learning (ML) algorithms can analyze thousands of data in real time and flag suspicious or fraudulent transactions, halting many fraudulent claims in the process, and therefore significantly minimizing fiscal fraud in financial entities.

Banking

Voice-based Digital Assistant for Cross-selling Non-financial Products

With the help of Artificial Intelligence and Sherpa.ai’s Machine Learning models, banks can build individual profiles for their clients and develop predictions about potential needs, in order to branch into selling products and services that are not of a financial nature (insurance, car leasing, phone service, real estate leasing, logistics equipment, travel, training courses, etc.), and therefore create new business opportunities.

Automotive

Integrate a Smart Voice Assistant Into Vehicles

Add conversational intelligence to your vehicle and improve user experience by building a conversational car interface that can answer questions quickly and can carry out actions such as turning up the music, turning down the heat, and even turning on the headlights.

Automotive

Anticipate Destinations with Personalized Next Place Predictions

Automotive brands with entertainment systems installed in their vehicles can add value to their business, by creating personalized, predictive, in-car suggestions for their users. If a user tends to travel to certain destinations at speci?c times, the in-car entertainment system can use that knowledge to predict the destination and directions.

Utilities

Integrate a Personalized Digital Assistant that is Adapted to Your Company

Give your users the ability to interact with a smart assistant, in order to resolve incidents or interact with your company’s products or services and carry out a variety of tasks and actions. Users can interact with the smart assistant verbally and visually, in a very natural way.

Utilities

Plan and Manage Networks More Efficiently

The proper management of networks (electrical, water, or roadway) is crucial to the results of utility companies. Sherpa.ai’s Artificial Intelligence technology is able to help companies plan and manage networks more efficiently, better understand clients’ behavior, and handle finances as effectively as possible. Thanks to the analysis based on usage data and demand forecasts based on Artificial Intelligence models, processes can be made more efficient.

Manufacturing

Predictive Maintenance

By using Sherpa.ai Predictive AI, manufacturers can ensure that maintenance is under control by predicting when each machine needs to be inspected and maintained, based on workload and time in use. Preventing production issues, by alerting plant managers ahead of time, means less downtime and a tighter production schedule.

Manufacturing

Price Optimization

Create optimal price estimates for commodities, based on advanced Machine Learning analysis of previous prices and expected consumption.

Manufacturing

Smart Factory

Take advantage of Sherpa.ai’s advanced analysis services and tools to improve manufacturing operations, thanks to the capture, analysis, visualization, and execution of the data obtained from all the production facilities. Sherpa.ai helps improve business operations, thanks to access to plant data used to improve the overall efficiency of machinery, through the incorporation of Artificial Intelligence and Machine Learning, which provides the factory with predictive analytic capabilities in real time.

Manufacturing

Inventory Optimization

Get a complete view of global inventory levels and plan for different scenarios, in order to optimize inventory levels and comprehensively administrate to providers.

Smart Cities

Planning, Security, Energy Optimization, and Efficient Waste Management

Planning, Security, Energy Optimization, and Efficient Waste Management. Artificial Intelligence being developed in smart cities can play a crucial role in society. Infinite amounts of data, from sources such as drones, security cameras, and facial recognition systems processed using Artificial Intelligence can help enormously in the efficient management of cities and their resources. It can have many specific uses, which may be heterogeneous, such as optimizing the management of energy, waste, water, transportation, parking, and public safety.

Smart Cities

Traffic Efficiency Using Artificial Intelligence

To solve traffic congestion, an issue that a large part of the population experiences and that has a direct impact on accidents, work efficiency, and contamination, sensors and cameras in traffic lights, signals, and barriers that are able to pick up a large amount of traffic information can send that data to the cloud for analysis and pattern detection. This has the ability to improve traffic forecasts, employ smart management of traffic lights and barriers, or even open up a third lane on two-way roads, which can be used for either direction, based on the needs of the city. People could receive notifications about the shortest route to their destination, helping them to avoid traffic.

Smart Cities

Manage Public Transportation Fleets, Thanks to Artificial Intelligence

The challenge of improving public transportation offered to the public is making public transportation the fastest, most affordable, and most comfortable option. Artificial Intelligence allows for the optimization of each phase of the logistics value chain. The application of algorithms and the handling of data in an organized fashion allows decision-making to be fluid, correct, and adapted to different scenarios. Cutting down on delays and interruptions in public services will allow for the maximization of customer and rider satisfaction. Route monitoring, vehicle tracking, and incident forecasting for public roads and streets in real time are some of the factors that come into play when optimizing public transportation fleet management.

Oil & Gas

Process Optimization

Reduce waste, maximize value-added products, and identify where the process is breaking down. Sherpa.ai provides continuous feedback and recommendations for performance optimization based on real operative parameters that prioritize safety, production, execution time, and performance risk issues along time horizons that cover multiple system pauses, renovations, and reconfigurations

Oil & Gas

Monitoring Production Flows and Processes

Automate allocation and mass balance calculations using sensor data, throughout the entire process. Identify operational deviations in the planned flows, generate alerts, and reduce bottle necks. The results aggregated at well, field, and network level allow users to automate the production loss analysis and analyze operative time series data and events.

Testimonials

Sherpa.ai Assistants

Tom Gruber on the Next Generation of Virtual Assistants

Sherpa.ai Predictive

John Sculley on Sherpa.ai’s Predictive Analytics and Privacy AI

Sherpa.ai Privacy

Tom Gruber says Sherpa.ai is “Leading the Way” in Privacy

Industries

Sherpa.ai is aimed towards sectors that benefit from the use of Artificial Intelligence in their field of work, and are looking for a straightforward way to integrate AI into their products and services.

Media
Education
Research
Health
Smart Home
Intelligent Bussiness
Government & Organizations
Car

Our Clients

Prioritizing Client Security

The security and privacy of our users’ information is a fundamental priority at Sherpa.ai.

We deeply believe that both security and privacy must meet the highest standards of quality, as well as all regulations in force.

That’s why Sherpa.ai is certified to ISO-27.001 regulations and to the General Data Protection Regulation (GDPR), thus complying with all current regulations.

UKAS
URS
Data protection regulation