About Accenture Ventures Applied Intelligence Challenge

Accenture Ventures challenge is back with its 2nd edition, and this time the challenge aims to identify and recognise startups with the most challenging and innovative B2B use cases in Applied Intelligence.
The winners get an opportunity to collaborate with the best and leverage benefits that will propel them to their next level of growth.

What is Applied Intelligence?

Artificial Intelligence can transform a part of your business. Applied Intelligence will transform its very nature!

Everyone's heard of Artificial Intelligence (AI) and many amazing innovations that use AI are the talk of the town. But Applied Intelligence is the next level. It's Accenture's unique approach to combining AI with data, analytics and automation under a bold strategic vision to transform your business — not in silos, but across every function and every process, at scale.

Businesses that use Applied Intelligence can maximise existing investments and extend new technologies across the business. Accenture has more than 6,000 deep AI experts and 3,000 data scientists, and the added flexibility to work with almost any technology partner. No wonder then that most industry analysts turn to them to help evaluate, maximise and scale opportunities for them as they arise.

For Accenture Ventures, no two clients are the same. They bring in their deep industry expertise and customise their services to solve your unique need.
100%
of industry analysts rank Accenture Ventures in their
leader category
20,000+
professionals and 6,000 deep
AI experts
3,000+
data scientists who are industry
and domain
experts
15
studios and centers
of excellence
1500+
AI-related patents
250+
apps and solutions

Timeline

Challenge categories

Artificial Intelligence
Startups working on combining analytics and automation with AI to help businesses reimagine and reinvent their processes, functions or the overall business, startups facilitating human-AI collaboration with an aim to benefit users, communities and society at large. Examples include NLP, NLG, Neural Networks, Machine Learning, Inference Engines, Expert systems, Gesture and Speech Recognition.
Data
Startups working on helping organisations unlock value from the huge amount of data they have through relevant critical insights, and solutions that help with management of such data beyond synthesis and analytics, including governance, monetization and compliance. For example, startups that can help enterprises comply with the European Union's General Data Protection Regulation (GDPR) by removing complexities from measures and auditable processes for data and baking in privacy requirements into the data architecture of enterprise systems through Data Extraction, Data Integration, Data Visualisation, Data Management, Data Governance, and Data Compliance.
Analytics
Startups who are combining disruptive technologies like ML, AI, IoT and so on, to provide the right data at the right time to businesses, especially procurement business, and helping them to respond autonomously. They should help companies optimise customer experience, and existing product, people processes, operational efficiency and new revenue opportunities through Predictive Analytics, Prescriptive Analytics, Diagnostic Analytics, Descriptive Analytics, and Business Intelligence.
Automation
Startups with intelligent automation, like RPA (robotic process automation), IT process automation and virtual agents, which can help businesses improve efficiency and productivity. For example, with an AI-powered digital assistance, they can employ self-learning processes which can help empower employees, strengthen customer relationships and open new ways to innovate.
Industrial AI
Startups redefining engineering, product lifecycle management, digital manufacturing and predictive maintenance to increase time to market. They should unlock the power of digital in plant operations with the help of sensor/computer vision, robotics/autonomous operations, drone applications, and space applications.

Technology and solution areas covered in the challenge

Applied Intelligence
Blockchain
Computer Vision
Cybersecurity
Drones
Employee Assistance
& Experience
Extended Reality
Internet of Things
(IoT)
Robotics
Telematics
Workforce Training
3D Printing

Who can apply

Startups with operations in India who have
  • Solved B2B problems in any of the above categories
  • Have an annual revenue of at least $100K in last reported Financial year
  • A startup can apply in multiple categories
Criteria for shortlisting finalists
  • Uniqueness of the solution
  • Realized business benefits
  • Scalability of the solution

Selection Panel

Accenture Leaders
Clients
Industry SME’s
Investors

Benefits for the winners

Invitation to join a special cohort program (mentorship and all benefits of “Open Innovation Partner program")
Opportunity to co-create at Accenture Ventures CoE at the Accenture Innovation Hub (a state-of-the-art facility that combines the broad range of Accenture’s leading technology capabilities in a vibrant and collaborative environment)
PoC development opportunity with Accenture client(s)
Access to Accenture's clientele across the globe
Access to Industry Forums such as NASSCOM, CII, FICCI programs
In addition to this, an exclusive presentation opportunity to Accenture Advisory Board – a group of highly influential industry leaders

2019 Finalists

Analytics
Locobuzz
Aureus Analytics
Byte Prophecy
Automation
Numberz (Paradime Technologies)
iFuture Robotics
AutomationEdge Technologies
Artificial Intelligence
Niramai
Active.ai
CropIn Technologies
Industrial AI
Flutura Business Solutions
Strayos
Neewee
Data
Zapr Media Labs
dDriven
MMS.IND

Winners of last year's Industry X.0 Challenge

Winner - DeTect Technologies
1st Runner up - Ecolibrium Energy
2nd Runner up - SatSure Analytics

Contact us

For any questions or queries, please reach out to aichallenge@yourstory.com and ensure you include your phone number in your message.
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