At Damco, we offer proficiency in developing modular and scalable deep learning mobile applications. Our Caffe development services facilitate organizations to deploy deep automation and scale big on insights and opportunities, having:
Caffe2 is an open-source deep learning framework maintained by the AI technology giant Facebook. Built with mobile development in focus, Caffe2 makes it easy to experiment with deep learning.
We offer a complete suite of Caffe consulting and development services to empower businesses across all sizes.
Audit of IT infrastructure and processes to assess the feasibility of Caffe development – roadmap, PoC, and governance design.
Advanced ML apps – image processing/classification, prediction applications, time series applications, OCR, etc.
Training/development of advanced neural and deep neural network apps to reduce cognitive load and transform workflows.
Robust neural network model development that automates business processes with intelligent algorithms.
Pipeline-based processing of the deep learning framework to reduce the amount of data sent to the cloud and enhance privacy adherence.
SLA-driven support and maintenance services to help businesses manage deep learning applications.
As a leading Machine Learning development company, we have experience in multiple facets of deep learning model development using the Caffe framework.
Optical character recognition and Intelligent Character Recognition apps for accelerated digitization of paperwork.
Image Search, Object/Face Recognition, Photo Clustering, and Motion Detection applications for healthcare, aviation, automotive, etc.
Application of advanced neural networks to detect and interpret audio signals, widely used in voice assistant development.
Accelerated development of chatbots through the application of deep learning, PyTorch, Keras/TensorFlow, etc.
High-performance numerical computations and deep learning development for both CPU and GPU computing devices.
Solutions to real-world data science problems through linear regression, neural networks, and reinforcement learning systems.
We have facilitated numerous clients to adopt AI-powered automation for incremental man-hours savings and service improvement. Our vision, proven approach, and Centre of Excellence delivery model accelerates intelligent process automation development.
Insurance
Faster automobile claim settlement through intelligent image recognition of vehicle damage and AI-powered document extraction.
Finance
Development of AI chatbot for invoice download, mortgage calculations, loan calculations, risk profiling, etc.
Sales and marketing
Automated calculation and updating of CRM and scorecards to allow teams to focus on nurturing leads and improve TAT 8-10x.
Our IPA consultant will get in touch to understand your requirements and assess the project feasibility – current IT infrastructure, user skills, and business processes. We will offer you our project proposal along with suitable engagement models to choose from. We begin immediately after the signing of the contract.
Most of the processes that have routine operations and are repetitive can be automated. We have a detailed process for Automation Discovery Assessment where we chalk-out the IPA roadmap for feasible processes.
The cost of the project depends on multiple factors – project scope, technology stack, man-hours required, engagement model, business objective, depth of machine learning model, etc. Having said that, we aim to strike a balance between cost and quality for maximum satisfaction.
Yes, you can. We provide resources that are experienced in AI/ML tools like TensorFlow, Keras, PyTorch, Caffe, etc. on a full-time basis.
Sure, we can. In cases where a different team has worked/is working on the project, our SME will understand project requirements and existing documentation to assess the scope and man-hours required. After this, we will offer suitable engagement models.
Yes, you can. We offer team augmentation engagement where our experienced resources work along with your team and make the best out of the insource cum outsource development model.
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