By Nishant Batra
The next generation of intelligent systems will depend not only on better algorithms, but on a better understanding of the physical world. That conviction is central to why Dajji invested in SoloPulse.
As a corporate leader, when I envisioned my next chapter, I knew I wanted to be closer to founders, consequential technology and the hard work of turning invention into enduring commercial value. Over the course of my career, I have worked across telecommunications infrastructure, automotive sensing, embedded and cloud software and complex systems built on/for/with AI. Having led large P&Ls, advanced research, corporate strategy and technology investments, the recurring lesson has been rather simple: a breakthrough matters only when it can be engineered into a product, integrated into a system and adopted at scale.
That is the thinking behind Dajji, the advisory-led deep-technology investment platform I founded with Sanjay Jupudi as Founding GP. Sanjay has been a serial entrepreneur and has built companies from conception to multi-hundred million dollars in revenue. We begin by working alongside founders and building conviction through direct engagement with the technology, the market and the execution challenge. Only then do we invest our own capital and, selectively, create access for aligned investors. The model is intentionally hands-on because deep technology rarely follows a straight line from laboratory achievement to repeatable revenue.
SoloPulse is an exceptional expression of that philosophy.
The layer nobody sees
Every phone call, GPS fix, drone link and radar sweep travels as a radio frequency signal. RF is the invisible backbone of modern life, quietly carrying both the commercial networks we rely on and the defense systems that protect us.
That backbone is getting crowded, fast. More devices, more emitters and more contested spectrum are producing more RF data than at any point in history. Yet almost all of it passes through the air unexamined, rarely turned into anything useful. It is one of the largest untapped sources of information about the physical world.
At the same time, edge compute has finally become powerful enough to interpret RF where it happens, in the field, rather than shipping it back to a distant data center. The raw material is abundant, and for the first time the tools to read it are within reach.
From signal to intelligence
Turning raw RF into insight demands two disciplines that rarely coexist comfortably. Signal-processing engineers think in physics and waveforms. Machine learning teams think in data and models. Too often, the two camps talk past each other, and the products that result inherit the gap.
SoloPulse’s founders are one of each – one holds a PhD in electrical and computer engineering, focused on signal science and the other holds a PhD in biomedical engineering, focused on machine learning. What struck us early was not simply their credentials, but how naturally they have fused the two into a single collective way of thinking. The wider SoloPulse team of physicists and electrical engineers builds on that foundation.
The result is models that understand the physics of the signal they are reading. Such models generalize better, degrade more gracefully and remain trustworthy in the field, where clean training data is a luxury. That is what gives SoloPulse the potential to become something larger than a product company: a true data company for Physical AI.
Beyond defense
SoloPulse is rethinking RF sensing by combining advanced wave theory, signal-processing software and AI. Its platform turns ambient RF activity into actionable data, and it can enhance existing systems without demanding a full hardware replacement.
Defense is a demanding proving ground, and rightly the first. But the opportunity extends well beyond it. Better RF perception can complement cameras and LiDAR in mobility, in critical industrial infrastructure and in a widening range of edge-AI applications. It matters most exactly where other senses struggle: where visibility is poor, power is scarce, latency is unforgiving or privacy must be preserved. RF perceives through smoke, dust and darkness, and it does so without capturing a single face.
Why now, and why SoloPulse
Laboratory results are necessary but never sufficient; the real test of any sensing technology is the field, where noise is relentless, conditions are hostile and nothing behaves as the simulation promised. SoloPulse has taken its systems into some of the most demanding environments imaginable, and they performed, which for us was a decisive signal. The timing matters too. The moment calls for deep signal science fused with machine learning, delivered on available hardware and improved continuously in software. SoloPulse has the ability to deliver category defining sensing systems, combined with data and intelligence that can be the catalyst for truly impactful outcomes from saving lives to boosting productivity.
At Dajji, we invest in founders doing the patient, difficult work of turning deep science into systems the world depends on, and SoloPulse is doing exactly that. We believe SoloPulse is primed to build one of the most valuable layers of intelligence we have.