Gramener AI Labs: Scalable Machine Learning and Deep Learning Solutions

Gramener AI Labs

Augmenting an Intelligent Future

Gramener AI Lab fuels innovation by leveraging the latest AI trends and applying them to business consumption of data. We churn through massive datasets and construct data applications with insightful storytelling.

At AI Labs we use applied research to help businesses achieve competitive advantage and leverage the latest innovations in the field. We undertake pilot projects to extract additional intelligence from data in the areas of Face/Speech Recognition and Image/Video classification.

Our Focus Areas

Natural Language Processing, Intent Detection, Topic modeling, and Sentiment Analysis

Image Analytics

Crowd Counting, Face Recognition, Biodiversity Species Classification, and Object Detection

Audio Analytics

Speaker Diarization, Voice Clustering, Speech recognition, and Emotion and Gender Detection

Our Team at AI Labs Believe in

Focus on Research

We partner with Universities and Enterprise Analytics Labs to collaborate in areas of applied research.

Learning from Trends

We attend and speak at AI conferences and forums to share knowledge and stay abreast with on-going research in AI and ML.

Accountable AI Solutions

We Partner with Enterprises to solve real-life business problems by innovating Machine Learning and Deep Learning Solutions.

Our Technology Partners

Microsoft

Gramener is Microsoft co-sell ready partner. We work with Microsoft AI for Earth team to blend our AI/ML capabilities with Microsoft Azure stack and create data applications.

Intel

Gramener is one of the Intel AI Builders. Leveraging Intel technology, we are accelerating an ecosystem of optimized Artificial Intellgence, Machine Learning, and Deep Learning solutions.

Microsoft Partner Case Study

Case study

Identifying Salmon Species with AI

Gramener and Microsoft AI for Earth help Nisqually River Foundation augment ﬁsh identiﬁcation by 73% accuracy through Deep Learning AI models

AI, ML, and Deep Learning Solutions

Smart Contract Risk Identification

AI-driven Legal Document Analyzer helps law practitioners to focus on more important works than reviewing monotonous documents.

Speech AI

Identify voices with AI. This Deep-learning empowered application recogizes Gender and Emotions in an audio file.

Crowd Counting AI Application

Using this Machine Learning-driven API you can count any number of objects, animals, or people in the crowd.

Transcript Text Analytics

Which words were used most during corporate earnings calls? How has this changed over time? Know it all.

Audio Analytics

When a caller calls a call center, or enters a phone conversation, deep learning techniques can help identify the person.

Active Learning

Active learning, seeks to select the most informative data points, with the objective of reaching a performance comparable to that of passive supervised learning algorithms, using fewer training instances.

Emotional AI - Storytelling

What's your gender? How old are you? Are you angry or happy? The face recognition app tells it all.

Our work covered by Media and Events

STRATA Data Conference

“AI for Social Good: Saving our Planet through Data Science at Strata London”

— Ganes Kesari

Co-founder & Head of Analytics

Azure Datafest' ,11-12 Oct 2018, Reston, Virginia.

“AI goes Mainstream: Deep learning in the enterprise”

— Ganes Kesari

Co-founder & Head of Analytics

TedXAsburyPark 2019

“"Saving our Planet's Biodiversity with AI" at TEDxAsburyPark Audition”

— Ganes Kesari

Co-founder & Head of Analytics

AnancodaCon 2019

“Counting the World with AI Models ”

— Ganes Kesari

Co-founder & Head of Analytics

Intelligent Cloud Conference, Copenhagen

“Save the Elephants with Deep Learning (Intelligent Cloud, Copenhagen)”

— Ganes Kesari

Co-founder & Head of Analytics

“Our planet is in the midst of its sixth mass extinction, the worst since dinosaurs roamed the earth, 65 million years ago.”

— Ganes Kesari

Co-founder & Head of Analytics

“Deforestation is a problem that needs the attention of our most advanced technological solutions, namely, Artificial Intelligence (AI).”

— Ganes Kesari

Co-founder & Head of Analytics

“Our purpose is to augment human intelligence by extracting insights from heterogeneous data sources and converting them into memorable stories for decision making.”

— S. Anand

Co-founder & CEO

StartUs Magazine

“We're looking at how crowd counting technologies can help smart cities. cities will grow smarter and become more responsive and livable.”

— Naveen Gattu

Co-founder & COO