Founded at the crossroads of neuroscience, artificial intelligence, and enterprise technology — we exist to build systems as intelligent and adaptive as the brain itself.
Neurivvy Intelligenx is a DPIIT-recognised startup founded in 2024, built at the crossroads of neuroscience, artificial intelligence, and enterprise technology. We hold all required statutory licences and operate under India's official startup framework — with a research-first mandate focused on neural computing, health-tech AI, and cloud infrastructure.
We are pre-revenue and deliberately so — this is not a company in a hurry to monetise. It is a company committed to doing the science properly, building systems that are grounded in peer-reviewed research, and finding collaborators whose expertise and values align with that mission.
If you are a researcher, clinician, engineer, or investor who believes that neuroscience and technology belong in closer conversation — and that the resulting work should give back to society — we want to hear from you.
Work With Us →To build neural computing and health-tech systems grounded in real science — and make them accessible to organisations and communities that need them. We are a DPIIT-recognised pre-revenue startup, and we measure success not by revenue milestones but by the quality of what we build and who we help.
Neurivvy Intelligenx incorporated as a DPIIT-recognised startup, with all statutory licences in place. Core focus: neural computing research, health-tech AI, and enterprise software.
Received official recognition under India's Department for Promotion of Industry and Internal Trade (DPIIT) startup framework — validating our technology-led innovation mandate.
Established our Neural Lab research division. Initiated work on EEG signal processing pipelines, BCI decode software, and neuromorphic computing integration.
Delivered early projects across health-tech, enterprise software, and cloud infrastructure — building our portfolio and refining our service model across sectors.
Pre-revenue and growing. We are actively looking for researchers, engineers, clinicians, and investors who share the conviction that neuroscience and technology belong in closer conversation — to build together and give back to society.
A future where artificial intelligence and biological intelligence coexist symbiotically — where technology heals, augments, and empowers the human mind rather than replacing it.
Every system we build is informed by how biological neural systems actually process information — parallel, distributed, and adaptive.
We hold ourselves to the highest standards of responsible AI — transparent, explainable, and built with human values at the center.
We publish research, contribute to open-source, and collaborate with academic institutions to advance the entire field.
We model our systems on biological intelligence — adaptive, efficient, and capable of genuine learning rather than just pattern matching.
Every breakthrough must be safe, explainable, and equitable. Technology that cannot be understood or governed has no place in our products.
Our solutions are grounded in peer-reviewed research. We don't hype what we haven't proven — and we test everything rigorously before deployment.
The problems we choose to solve — neurological disease, healthcare access, sustainable computing — matter at a civilizational scale, not just a business one.
The best solutions emerge from the intersection of disciplines. We actively seek partnerships, publish openly, and build on each other's work.
We ask questions nobody else is asking yet. Breakthroughs rarely come from expected directions — so we explore aggressively at the edges of knowledge.
"The brain does not compute. It anticipates. Every neuron is a prediction machine, not a relay station. The moment we stopped trying to simulate computation and started studying anticipation, everything we built became more honest — and more useful."
Twelve years ago I left a neuroscience research post because I was frustrated by how slowly laboratory insights were making their way into the systems that clinicians and engineers actually use. The biology had answers. The technology wasn't listening.
That frustration is still the engine of everything we do at Neurivvy Intelligenx. We are not a company that decorates software with neuroscience vocabulary. We are a company that treats the peer-reviewed science as a genuine engineering resource — and holds itself accountable for the gap between what we claim and what we can demonstrate.
The problems worth solving — early neurological disease detection, brain-computer communication for people with severe paralysis, computing architectures that are ten times more efficient — are hard problems. Hard problems require patience, rigour, and a willingness to publish the failures as carefully as the successes. That is the culture I am building here.
Juliana co-founded Neurivvy Intelligenx along with two other primary partners based in India, with the conviction that neuroscience and enterprise technology belong in closer conversation. Holding a PhD in Neural Computing, her background spans neural signal processing, brain-computer interface research, enterprise software architecture, and AI system deployment. She leads technical strategy, client engagements, and the company's ongoing research programme in neuromorphic computing and health-tech AI.
Our research team brings together engineers and scientists with backgrounds in computational neuroscience and signal processing. They handle the technically deep work: neural signal pipeline design, BCI decode algorithm development, EEG artifact removal, and integration with neuromorphic hardware platforms including Intel Loihi and SpiNNaker.
Our engineering team handles the software and infrastructure work: enterprise cloud architecture on AWS, Azure, and GCP; full-stack web and mobile development; ERP and CRM implementation and integration; and the deployment and operationalisation of AI models into production environments. They bring strong software engineering discipline to every project.
We are a DPIIT-recognised startup looking for researchers, engineers, clinicians, and investors who want to work on hard problems in neural computing and health technology — and give back to society in the process.