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 Caffe consulting, ML product development, and ready-to-hire Caffe developers under flexible engagement models.
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
Hire Caffe developers for 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
Caffe consulting services offering SLA-driven support and maintenance to manage deep learning applications
As a leading Machine Learning Development company, we have experience in multiple aspects of Caffe development.
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.
Faster automobile claim settlement through intelligent image recognition of vehicle damage and AI-powered document extraction.
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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