A DIPP Recognised Bangalore Based AI & Tech Company
Advancing, Building, Democratizing
Tomorrow's State-of-the-art AI for ALL
DeepBrainz is A DPIIT/DIPP Recognized Bangalore based AI & Tech Startup Company in India.
DeepBrainz is currently building its core AI product called DeepBrainz Universal AI, an End-to-End Deep Learning, AI Platform & AI-first SaaS for Everyone from Enterprises to End-users.
DeepBrainz Universal AI (DBZ uAI), A Next-Gen Integrated AI-first SaaS Platform
DBZ uAI, An End-to-End Autonomous AI Platform for Autonomous Healthcare, Connected Autonomous Driving Vehicles, Conversational AI
DeepBrainz via DeepBrainz Universal AI will offer Data & AI/ML Solutions, Services ranging from Healthcare's Medical Diagnosis & Treatment to Autonomous Driving to Conversational AI along with various features for solving Uncertainty & Bias in AI, enhancing ML Model's Transparency, Generalizability, Security, and Privacy, for Enabling Human Lives Globally, Socially & Economically.
Industry markets we primarily choose to work with are the intersection of Hard Tech, Healthcare, Autonomous Driving (Connected Autonomous Vehicles).
DeepBrainz: Our Mission is to Build, Advance & Democratize Tomorrow's State-of-the-art Artificial Intelligence for All to Access, and Use, for Empowering Humanity Universally.
- DeepBrainz AI BRAIN (DeepBrainz Research of AI Neurons), an AI R&D Team from DeepBrainz Technologies Private Limited, A DPIIT Recognized AI Company
DeepBrainz AI, A DPIIT/DIPP Recognized AI Initiative, Technology Startup, An End-to-End AI Platform, AI-first SaaS, Building, Advancing, Democratizing State-of-the-art (SOTA) AI for ALL & Cutting-edge Technologies via Innovation, Research & Product/Technology Development, Breakthroughs via "AI for ALL" Strategic Policy
The problems that DeepBrainz primarily focuses on solving are in/from the field of AI and Machine Learning.
We address the problems arise from the various challenges of Deep Learning, which is the emerging and popular sub-field of Machine Learning, are as follows:
While being solved the above-said problems for advancing Tomorrow’s State-of-the-Art AI, DeepBrainz also aims to focus on Building an In-House AI Capability and Leveraging AIaaS (AI-as-a-Service) for Our Own AI-based Customized Product for Innovation via Custom AI Algorithms Development that is being built to the Enterprises and Consumers to further address the problems from the various major important & potential use cases across the industries’ sectors, and functions especially High Tech, Healthcare, Automotive, Education, Agriculture, Retail, Finance, etc. through Cutting-edge Technologies such as Machine Learning for democratizing AI Technologies.
DeepBrainz's Philosophies and Principles are yet be available here on the official site.
Our Proposed Solutions to the above-said problems are as follows:
As organizations across the world planning to adopt significant deep learning efforts, We begin to build a complete in-house AI capability and AI-as-a-service for DeepBrainz and Everyone.
As per the use cases planned to build, we create a data plan that produces results and predictions, which can be fed either into designed interfaces for humans to act on or into transaction systems.
Our key data engineering process includes data creation or acquisition, defining data ontology, and building appropriate data “pipes.” And, We do plan to develop robust data maintenance and governance processes and implement modern software disciplines such as Agile and AnalyticsOps/AIOps/MLOps (Analytics/AI/ML + DevOps).
And, the Uniqueness of DeepBrainz Proposed Solution is to further help deliver the Solutions to Various Several Other Problems around the world.
When it comes to scaling, DeepBrainz will work on to overcome the “last mile” problem of making sure the superior insights provided by AI are instantiated in the behavior of the people and processes of an enterprise and a user.
We're working to build much of the construction and optimization of deep neural networks that remains something of an art requiring our real expertise to deliver step-change performance.
We notice that with AI techniques and data available, where the value is clearly proven, but the cost and complexity of deploying AI are still daunting.
Also with societal concerns and regulations, Regulatory constraints are especially prevalent in use cases related to personally identifiable information.
The use and commercialization of individual data on online platforms, the use, and storage of personal information are especially sensitive in sectors such as banking, health care, and pharmaceutical and medical products, as well as in the public and social sectors.
And so we're planning to work on to justify the cost and issues around privacy and personal identification.
And, we plan to address the cases, where the value is not yet clear and the most unpredictable scenario is where either the data (both the types and volume) or the techniques are simply too new and untested.
As we will address these issues, businesses and other users of data for AI will need to continue to evolve our business model related to data use in order to address societies’ concerns.
Furthermore, regulatory requirements and restrictions can differ in accordance with the countries and the sectors.
We also often consider redefining the followings whenever possible,
While coming to Marketing Strategies such as B2B, B2C, and B2D which are being utilized in accordance with the use-cases DeepBrainz will aim to solve for the enterprises, the consumer, and the developers respectively.
The business revenue models evolve and change over the use of data for AI. As AI Landscape can be divided into two segments in the following:
We additionally do plan for the development of a tailored-made solution and then make you pay monthly running costs as well as operational support/training, as we are also an AI development team specialized in building tailored-made solutions for clients.
We do plan to provide the data necessary to build the PoC.
It's the known fact, "The more people using AI, the faster it learns."
AI solutions are priced by transaction or completed computation. You'll be required to pay as much as you use AI. i.e "Pay-as-you-go" method.
We are still working for an entirely new ecosystem and emerging business model.
We, DeepBrainz will be the provider of AI technology, applier of AI technology, and policymaker, who sets the context for both.
As an AI technology provider company, We plan to develop or provide AI to others, since we have considerable strength in the technology itself with the data scientists, needed to make it work, with a deep understanding of end markets.
Understanding the value potential of AI across sectors and functions can help shape the portfolios of our AI technology company. That said, we won't necessarily only prioritize the areas of highest potential value. Instead, we will combine that data with complementary analyses of the competitor landscape, of our own existing strengths, sector or function knowledge, and customer relationships, to shape our investment portfolios. On the technical side, the mapping of problem types and techniques to sectors and functions of potential value can guide us with specific areas of expertise on where to focus.
We further plan to create a prioritized portfolio of initiatives across the enterprise, including AI and the wider analytic and digital techniques available. We are to create an appropriate portfolio, as it is important to develop an understanding of which use cases and domains have the potential to drive the most value, as well as which AI and other analytical techniques will need to be deployed to capture that value.
And, our portfolio ought to be informed not only by where the theoretical value can be captured but by the question of how the techniques can be deployed at scale across the enterprise and the question of how analytical techniques are scaling is driven less by the techniques themselves and more by our skills, capabilities, and data.
We, DeepBrainz will need to consider efforts on the “first mile,” that is, how to acquire and organize data and efforts, as well as on the “last mile,” or how to integrate the output of AI models into workflows ranging from clinical trial managers and sales force managers to procurement officers.
So, We plan to invest heavily in these first- and last-mile efforts.
As a Policymaker, we'll need to strike a balance between supporting the development of AI technologies and managing any risks from bad actors.
we have an interest in supporting broad adoption since AI can lead to higher labor productivity, economic growth, and societal prosperity.
Our tools will include public investments in research and development as well as support for a variety of training programs, which can help nurture AI talent.
We believe that will work on the issue of data, as authorities can spur the development of training data directly through open data initiatives, and opening up public-sector data can spur private-sector innovation, Setting common data standards can also help.
We are aware that AI is also raising new questions for policymakers to grapple with for which historical tools and frameworks may not be adequate.
Therefore, some policy innovations will likely be needed to cope with these rapidly evolving technologies. But given the scale of the beneficial impact on business the economy and society, our goal will not be to constrain the adoption and application of AI, but rather to encourage its beneficial and safe use.
DeepBrainz Universal AI is an AI Product as a Software, Infrastructure, Platform offering various Services for Everything from Building, Democratizing the State-of-the-art AI Developing AI i.e. AI Building AI itself for Enterprises, End-users, and Developers to Advancing Tomorrow’s State-of-the-art AI through Disruptive Innovations with BRAIN (DeepBrainz Research of AI Neurons), AI Research & Development Team at @Deep-Brainz, “Empowering Humanity!”https://deep-brainz.github.io/Univers… For more information: Visit DeepBrainz Blog
DeepBrainz Universal AI is a strategic & game-changing AI Pilot Project with custom AI Algorithms Development;
Advancing, Building the future DeepBrainz EthicalAGI (Future Auto-E-AGI) for future Automated & Ethical Artificial General Intelligence and future Ethical Superintelligence EthicalASI as Tomorrow’s Advanced State-of-the-art AI are Our Long-term strategic focus in the AI Universe.
DeepBrainz AI, is currently standing on the shoulders of giants, i.e. following some top AI giant organizations in the industry such as Google AI, DeepMind AI, OpenAI in many great ways for building tomorrow’s state-of-the-art AI! Thanks to everyone for such wonderful work on AI.
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DeepBrainz Technologies Private Limited, Bengaluru
DeepBrainz AI aka DeepBrainz Intelligent Systems (DeepBrainz Technologies), A DPIIT (DIPP) Recognized AI & Technology Startup Company, Bengaluru, Bangalore, Karnataka - 560079, India. DeepBrainz, An End-to-End Universal AI Platform & AI-first SaaS for Enterprises & Everyone, A Member of the followings; MEITY STARTUP HUB, Google Cloud Partner, AWS Partner Network (APN) Technology Partner, Microsoft Partner Network, IBM PartnerWorld, Adobe Exchange Partner, SAP PartnerEdge – Build (PE Build) Partner, Cloudera Connect Partner, Confluent Partner, Nutanix Partner Network Authorized Partner, Salesforce AppExchange Partner, Red Hat Connect for Technology Partner, VMware Enrolled-New Partner, Udacity Talent Hiring Partner, Cisco Solution Registered Partner, Oracle Partner Network, Oracle for Startups, A Google Cloud for Startups, NVIDIA Inception, AWS Activate, Neo4j Startup Program, DigitalOcean Hatch, TensorFlow Research Cloud (TFRC) program, Startup with IBM, F6S Alpha, Y Combinator SUS W2
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