science of exploring innovations


Data Science Consultancy

Data science deals with mathematics, computer science and statistics. In varied domains, Innotomy provides consultancy (high level, design level and implementation level) in following areas:

  • Data Wrangling
  • Data Cleaning
  • Data Analytics
  • Predictive Analytics
  • Machine Learning
  • Deep Learning


Innotomy services cover following broad areas:

  • Healthcare
  • Pharma
  • Biology
  • Physics
  • Chemistry
  • Quantitative Economics
  • Ecology
  • Remote Sensing
  • Green resources - Energy, Water and Air


Innotomy offers services in the following technology areas:

  • Data wrangling and cleaning
  • Data analytics
  • Machine learning
  • Deep learning
  • Computer vision, graphics and image processing
  • Medical imaging and analysis
  • Signal processing
  • Time series analysis


Innotomy offers following types of services:

  • High-end Consulting services
  • AI implementations
  • Teaching and Research Mentorship
  • Training and workshops

Engagement Models

Innotomy offers the services, typically, using one of the following business models:

  • Time and materials based
  • Fixed price based
  • Transaction based
  • Long-term

Cloud Compute

Cloud Computing has transformed the data science industry by making high-end computations accessible to everyone at very low cost. Innotomy has experience in using GPUs and CPUs for solving AI problems.

  • NVIDIA GPUs - K80, P100, Jetson TX2
  • Google TPUs v2
  • AWS
  • Google Cloud
  • FloydHub
  • Paperspace

Data Science Languages

The languages that make data science happen!

  • Julia - A language for high performance numerical analysis and computational science, also used as spec language in quantum computing
  • Python - By far the most popular. Numpy, Scipy and Pandas are enhancers
  • R - Preferred language generally in Genomics. Powerfully backed by Bioconductor
  • Swift - Slowly but surely picking up

Deep Learning Frameworks

Popular deep learning libraries used by Innotomy are:

  • Keras - Deep learning library for Theano / TensorFlow
  • TensorFlow - Google backed mathematical backend with a simplified high level abstraction
  • PyTorch - Open source machine learning library
  • MXNet - Apache's Deep Learning Framework
  • CNTK - Microsoft's Cognitive Toolkit