Technologies

Object Recognition and Visual Libraries: Incorporating the latest computer vision APIs such as Amazon Recognition into building more extensible applications such as a Biometric based attendance system which uses facial recognition to identify individuals and a vehicle identification software which can recognize a vehicle and its owner by analyzing its physical image.
Voice to Text & Natural Language Processing: Building NLP applications which make use of latest services and tools such as Google CNL and Amazon Comprehend to derive meaningful insights on texts and voice inputs.
Regression and Prediction Models: Using neural networks and deep learning algorithm to record, intercept and predict from the provided information and optimize it for a better understanding.

AR: Building user specific and interactive Augmented Reality applications by altering the real-time environment and objects with the help of computer-generated digital information.
VR: With the help of Virtual Reality we are working towards creating a more structured and interactive computer-simulated environment which can physically train and educate more effectively.

iWitness: A Blockchain based virtual notary app developed by InApp to enhance transparency in a large enterprise.
Making use of advanced and latest Blockchain frameworks such as Hyperledger Fabric for our business needs.

10 Core Technology Teams
250 + Graduate and Post Graduate Computer Scientists and Engineers
Clients ranging from Fortune 500 requiring mature processes to Startups requiring best of technology
Excellent Client Relationship: 10 +average client engagements.

Expert groups : for Project Management, Technology Selection and Advice, Process Management
Agile, iterative and incremental development; phased delivery
QA – well defined testing process in place. QA Process starts at the beginning of the project
Process driven approach