Artificial Intelligence to supercharge
State-of-the-art cognitive computer vision solutions to analyse and extract rich information from videos and images for facial recognition,optical character recognition, and emotion analysis.
Natural Language Processing
Understands, process, and generate potential in your unstructured data like customer emails, support tickets, product reviews, social media, even advertising just as people do.
Build probabilistic models and apply machine learning and deep learning methods forfaster decision making, increased productivity, and improved business process.
Machine Learning Operations
MLOps, enables data science and IT teams to collaborate and increase the pace of model development and deployment via monitoring, validation and governance of machine learning models.
Being a core technical partner we have been working with 100's global enterprises of all sizes to solve their technical and architectural problems and helping them in better business strategies, digital transformation, and increase business productivity.
- Provide high-availability and resiliency with fully-managed CI/CD deployment pipelines and automated monitoring tools.
- Achieve high-level of cloud security, data protection, vulnerability assessments, and automation for continuous compliance.
- We ensure that your critical data is clean, stored securely, and delivered to end-users in near-real-time.
- Data holds the key information so we leverage your customer's data at every touchpoint for conversions and retention you can count on.
- Our digital expertise assures right products to enhance your customer's experience and align your business goals with your users.
Cloud Migration & Management
Cloud computing offers modern businesses opportunities, flexible operating models, help reducing in-house infrastructure cost, and the agility to compete in a dynamic world.
DevOps pipeline is a set of practices that the development (Dev) and operations (Ops) teams implement to build, test, and deploy software faster and easier.
DataOps is orchestration of people, processes, and technology to deliver secure and business-ready high quality data for data citizen, operations and applications.
Web & Mobile Application
An emerging strategy for application software companies is to provide web and mobile access to software previously distributed as local applications.
Boost Your Business Efficiency using Hyperautomation, RPA,
We at crossML helped many customers across diversified industries such as retail, logistics, banking, and healthcare to automate their manual repetitive and plain sailing tasks with minimal to zero human involvement in the impactful way using Hyperautomation, RPA, and OCR.
- Logistics Automation solution reads all relevant information from shipping slip, generates shipment summary, and updates ERP inventory correctly.
- Invoice Automation tool automatically extracts useful information such as invoice details, address, line items, and totals from digital PDF invoices or images.
- e-KYC application helps people to scan their national ID proofs, read confidential information, and complete their KYC process very easily and securely.
Mobility Data Pipelines for IoT
Devices using AWS Serverless
Being a technical partner, we have provided our customers with fully automated solutions, serverless pipelines and technical tools to store, process, and analyze unprecedented amounts of mobility data received from different IoT sources.
- Designed managed automated Data Pipelines to collect unprecedented amounts of streaming data from IoT devices without losing any data packet.
- Provided the Serverless Architecture to crawl unstructured data to convert it into a common format using dynamic algorithms.
- Our Machine Learning Pipelines automatically connect with data lakes to train models and generate useful insights to make the right future decisions.
Helps Making Better Business Decisions with Predictive
Predictive analytics uses customer’s historical data and apply statistical techniques & machine learning modeling to transform data into meaningful insights, identify trends, and customers behavior.
- Helping financial institutions to ensure their customer’s superlative experience and protect them from fraudulent transactions and false insurance claims.
- Increased efficiency for manufacturing industries by streamline their supply chain process, reduced material wastage, and forecast right inventory demands.
- Enabled many retail and media industries to personalize their users content and recommend them right products based on their history.