Complete NEP 2020 Compliance. Exclusive Product Worldwide.
Achieve NEP 2020 Compliance and benefits in ranking, research, placements, packages, and admissions. Proven Better AI Skill Delivery.
Research and Analysis • Need Identification • Cross-Domain Consulting • Tech Interventions
FinTech & AgriTech • Genetics & Bioinformatics • IoT & AI Enablement • Traceability Solutions
Real Time Monitoring • Actionable Reporting • Knowledge Exchange • eMarketplace
Advanced bioinformatics platform for pharmaceutical innovation
Cloud computing solutions for comprehensive governance management
Advanced proctoring and assessment management system
Streamlined healthcare claims management platform
Comprehensive farmer assistance and resource platform
Digital marketplace connecting farmers with consumers
📰 Media Coverage & Recognition
📰 Press Feature
Hands-on working equipment to develop Real World Practical AI Knowledge in students through working hand-on on real world AI problems beyond laptop — to build confidence, skills, and creation expertise furthering research, knowledge, and excellence.
For creating AI Models on how the computer sees the world, and detects aspects about it.
Deep fake and knowledge storing systems like LLMs to facilitate human-like interaction with AI.
3D/360 related Artificial Intelligence direct integration to build 3D Environment Edits & More.
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Face based potential medical parameter detection, and building of predictive health outcomes.
Object Tracking in Transit: Deep dive into differences in detecting objects in day/night settings, algorithm performance, and potential shortcomings while tracking objects as they move across spots.
Activity recognition whether working or not based on multi camera feed and inputs.
Computer Vision related meritocracy of underlying nuances in creating a workable real world model beyond laptop lacking across the talent.
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Body Detection: Detect key points of the body on movement and show skeletal center of mass while moving.
Virtual Object Manipulation: Manipulate virtual objects with preconfigured gestures, and voice commands in the mirror.
Image Interaction NLP: Students converse with virtual objects to explore conversational and understanding elements.
Interaction AI skill in examination and development of Artificial Intelligence to make your skill market relevant with real projects.
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Create generated 3D environments, predict aspects in a 3D world, and design 3D using Metaverse AI.
Generative AI based exercises for students to understand fault and prediction limitations, load in metaverse and experience/improve outcomes.
Editing various aspects of experiences, and scripts to create faster and easier metaverse experiences.
Understand the Development and working of 360 and 3D AI — a key research area of generation of Models.
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Prediction of Natural Disasters, and Cataclysm events using past satellite data captured.
Temperature predictions over time across locations in world to predict change through past data.
Air quality prediction, and real time causality prediction of changes to examine specific events.
Understanding and research in the detailed field of Spatial AI that is pioneering and rising across the world in importance.
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Real Time Voice Detection of person, and differentiating generated voice and real AI.
Generation of Voice and Audio for music, communication, enunciation, accent correction, and audio edits in real time.
Real time translation of voice and audio, with background noise cancellation and more.
Understanding key aspects and issues of Audio AI, ensuring accuracy, and ensuring appropriate generation speed, and more.
Equipment is inspired from the best research labs in the world focused on allowing access to latest knowledge in an ever-changing AI field easily, seamlessly, and at speed. Below are 3 core features.
Access and learn the latest researched AI Models with 2-Minute Understanding Material, including use cases, achievements, running specifics, and more. Access to always working relevant files including code/notebook, datasets, model files, sample output — to speed up research discovery.
Change parameters of input and test, and verify models available on system. Includes prediction classes, model specifics, frame rates, and other tangible parameters. Compare and contrast architectures for use cases in parallel on different inputs.
Create and Load New Models into system in a simple UI-based process. Align inputs, outputs, and other integrated system equipment to work with your model seamlessly. 10x boost in research speed, and outcomes.
Current AI Labs are of the below forms — they have different focuses and purposes. Our lab equipment can be used alongside existing equipment as per goals and guidelines.
Computer Labs with high-end or basic GPUs with AI Softwares loaded are integrated easily and assumed to be present for students to build/train models to use/test on our equipment.
Robots/ATL labs can be coupled with our equipment for built and tested models by students made to be set up on the provided mechanical equipment.
High performance servers or compute infrastructure from NVIDIA or other providers can be used to train the models developed and tested, and for deployment.
Hardware integrated software with relevant compute as one unit for chosen equipment.
Software provides latest algorithms created along with features listed before.
We train the teachers on usage, and AI as required to upgrade knowledge.
Integration with your teaching & servers or cloud as required to make adaptation seamless.
We provide support to reach the outcomes through equipment.
We provide maintenance and support on equipment.
NEP 2020, and the latest budget have specific goals of enhancing research outcomes, innovation in terms of startups and innovation, and ensuring skills, better employment and packages for students. Below we describe how the lab accomplishes these goals effectively.
Students will be better suited for current job roles in Data Analytics, Data Science, Data Quality Analysis.
Computer Vision Engineer, Image Processing Engineer, Natural Language Processing Engineer, LLM Engineer.
Artificial Intelligence, Machine Learning Engineer, Machine Learning Operations, Deep Learning Operations, AI Researcher.
AI Quality Assessment, AI Project Manager, Business Intelligence Analyst, and more through the knowledge given in skills mentioned.
Better applicability and comprehensive Knowledge to be a startup co-founder on technical front to achieve better success.
To learn real world scenarios seamlessly. Ready-to-use integrated setup for easy deployment, testing and validation, and project assignment to reduce faculty time.
For faculty with no more effort through platform. Ensure most appropriate teaching with latest algorithms in field, that you can run in few clicks, see results, test and run on platform.
And 0 additional work for teachers. Pre-integrated exercises and work for students, and reduced ongoing teaching practice and procedure.
Almost in every field — below are some areas that can be undertaken seamlessly.
AI-powered crop monitoring, yield prediction, and smart farming techniques.
Environmental monitoring, carbon footprint analysis, and sustainable development AI.
Industrial automation, robotic systems, and AI-driven mechanical engineering.
Smart city planning, traffic optimization, and urban infrastructure AI systems.
Diagnostic AI, patient monitoring, medical imaging analysis, and healthcare optimization.
Consumer behavior analysis, supply chain optimization, and retail AI systems.
Current teaching methods are not creating the right skill needed in the job market for AI, and the past skill requirements are changing in the AI Revolution.
AI/ML skills, talent gaps widen with accelerating innovation — Skillsoft
“B-Tech is Dead? Should you consider pursuing B-Tech in 2023” — Unemployment rate highest among graduates under 25 yrs, finds report on ‘State of Working India’
36% of IIT Bombay graduates fail to get placement, says report. Why skills — not degrees — will shape the future of work.
Employees see AI driving organisations in 4 years; talent shortage stands out despite learning interest. AWS survey reveals employers in India prepare for AI-driven future, valuing AI skills.
AI talent war heats up in Europe — startups like OpenAI, Cohere, and Anthropic vie for the same pool of talent as Google DeepMind.
Employers cannot find enough skilled AI workforce — Amazon report. AI Product Manager at Netflix: salary up to $900,000 (approximately Rs 7.4 crores).
Tremendous budgets in corporate and government research with focus areas to achieve benefit. More research grants.
Specialized courses to existing, new students, corporates, and more across field to create various projects, with certification. Programs for external students and professionals.
Stake in Startups created and transfer of technology and patents created in institution to generate outcomes. Startup stake/value.
Showcasing Student and Professor work professionally beyond laptop, achieving praise, and higher acceptance and interest in consulting. Consulting and Advisory Contracts through Alumni.
Provide space for hackathons, other nearby college usage for specialized programs and more to generate revenues from space utilization. Space for Startups.
Demonstrate cutting-edge AI teaching to visitors, accreditation bodies, and stakeholders.
Industry-ready graduates with hands-on deployment experience command significantly higher salaries.
Production-grade infrastructure transforms theoretical research into deployable, fundable innovations.
Part of Global Education Policies, and evaluation procedure/compliance. NAAC, NBA, and international ranking improvement.
Through demonstration of projects, learning methodology, equipment — attracting more and higher-quality students.
Can be upgraded to new models easily and regularly. Equipment Life 7–10 years with Independent Components Upgradable.
One Size Never Fits All – Be Unique. Models and Versions available at various price points, sizes, and abilities to fit your need and budget.
Smaller or larger hardware reducing the ability to do certain models and learning, and reducing grandness.
Change the amount of inputs in cameras, sensors, types, and processing capabilities at one time.
Processing ability alteration to allow for you to process multiple feeds at once, or shape of zone.
Add the sophistication of Environment Adjustment, Movement of Cameras, and other mechanisms.
Finalize the space for the setup, and MOU Signing of work together agreement.
Choose Lab Version, and Functionality, and overall scope if any adaptations. 50% Advance Payment Cleared. Syllabus Integration Brief to Dataviv.
Finalisation of provided syllabus, programs, marketing collateral for programs admission, agendas, Fees, enrolment agendas.
Starting of Marketing of Program to students, and outreach efforts for certificate, diploma, and program enrolment for students and MDPs.
Delivery of Hardware for setup at location begins, and completes within 2 months from payment date. Training Phase 1 Complete. Pay 80% Cleared.
Hardware Commissioning, demonstration and Training Phase 2 Complete, and Setup Live to Begin Course for Students Planned. Support and Maintenance for 1 Year Begins. Pay 100% Cleared.
Part of NAAC and NEP, and global policy and curriculum.
Since development could happen on cloud a basic computer would work.
Relevant for next 25 years on teaching, and at least 8 years on equipment in use and infra.
Single Zone – 800 Sqft (1 Class), Three Zones – 1500 Sqft (2 Class), Intermediate or Better – 2500 Sqft.
About 5 Students can work on one zone at a time for group projects.
1 Year included, and extendable for 20% Annual.
In the world where there are a lot of self-claimed AI experts, work with our founder Vedant Ahluwalia who has experience having worked under Dr. Andrew Ng, founder of AI at Stanford research during his Masters focusing in AI from Stanford.
Our work is happening globally with country and Business leaders, International Organisations, industry and government research bodies closely — hence our knowledge and intervention is always current ensuring best outcomes.
Relevant aligned specific Research equipment provided at cost of making to us, and can be scaled in components and parts to fit within your budget of choice, and setup can be planned in a phase comfort manner.
Built and delivered AI technologies for startups in USA that became unicorns, and delivered high-end first-of-a-kind Real AI Based Technologies for large corporates and governments. Trained business leaders of YPO in AI, delivering excellence at a country level.
Dataviv technologies only works with select reputed colleges that have the caliber and potential to achieve the NEP goals and setup a base standard that can take our research and teaching to the level of Stanford ensuring success of every association.
Dataviv is involved and partners through Revenue sharing in Funds brought into center in research, corporate work, courses designed, and stake in startups created to ensure complete success of our collaboration.
Led by a Global AI Prodigy – Mr. Vedant Ahluwalia
MS in AI, Stanford University
Managing Director, Dataviv Technologies
MS in Artificial Intelligence at Stanford University with vast knowledge in Artificial Intelligence Brain Technology, with large accolades in creation. Worked on AI Brain in founding days at Stanford AI Lab.
Including creator of Google’s AI Brain, inventor of Self Driving Car, and more at Stanford University and Stanford AI Lab.
Worked closely early on in Billion Dollar Edtech (Coursera) and Fintech (Earnin) supporting growth, and product. Also supported technology at the White House, and co-taught course with NASA Professors at Stanford.
Vice President with Stanford Angels in investment across early stage companies (Unacademy, Tread acq. Tata). Founding Team UNDP Social Impact Venture Fund. Siemens Financial Services, Blackrock Assets.
Corporates
Non-Profits
Universities
Startups
Govt Institutions
Global Regions
Infrastructure is proven. Benefits are measurable. The time to join the AI teaching revolution is now.
