The Reality We Ran Into
After dealing with endless debugging cycles and tapeouts, we started noticing something uncomfortable. The industry has an elephant in the room that nobody speaks about: subjectivity.
We have n number of sign-off parameter sheets. N number of tests. Code coverage vs functional coverage debates. Yet all of it remains subjective. Nobody accounts for it. Nobody questions it.
Then we hit another wall: revenue for licenses. That's when we started seeing the real gaps in the industry, not just chip tapeouts but everything around it.
One thing led to another. AI emerged as a capable coworker to navigate through these technical challenges with limited revenue. That's when WIOWIZ was born.
"We're not chasing hype. We want to fill the gaps that have been laying around for decades, with the help of AI."
Non-Optimism in Verification
70% of chip development time is invested in verification. Yet it's never enough, because signoff remains subjective.
Teams skip GLS simulations, delay simulations with parasitics, thermal analysis, and system-level parameters. They enter signoff with hope, not confidence.
We bring non-optimism to the verification cycle. We introduce what's missing so teams enter signoff with genuine confidence, not hope.
That's why we build and use our own WIOWIZ EDA, covering the full flow from spec to sign-off. It's a stack we control end to end, so nothing about signoff is left to chance.
What We're Building
WIOWIZ EDA
RTL to GDSII on our own WIOWIZ EDA, with enhanced AI layers and tools we build to cover the full flow. Built around our verification philosophy: non-optimism at every stage, not just DV.
Sensor Fusion Platform
Perception platform that converts raw radar and LiDAR signals into real-time object tracks. Deterministic latency, low power, works in fog, rain, dust, smoke. Built for defense, ADAS, agriculture, and industrial robotics.
Die-to-Die Architecture
Helping teams navigate the transition from monolithic SoCs to multi-die architectures. Physics-aware design rules change completely when chiplets talk to each other. We help teams prepare for that shift.
Intelligence Layers (VAI)
Virtual AI Inference, purpose-trained on-device intelligence designed for environments where cloud dependency is unacceptable. Modular, offline-capable, sits entirely on-chip.
Contributions to Opensource
We remember where we came from. We know how hard it is to build without expensive licenses, which is exactly why we developed our own EDA. Now we want to play our part in the ecosystem and help others who face the same barrier.
Our own EDA effort focuses on filling gaps that stop students and entry-level engineers from learning real chip design: RTL vs GLS wave comparison, LEC (Logic Equivalence Checking), DFT, OpenROAD parallel processing by regions, PEX and IR drop analysis, OpenSTA with ECO cycles, and multi-PDK PnR flow.
Some reference designs are shared publicly, while others are available to organizations under NDA.
Who We Are Today
We are a startup registered in Andhra Pradesh (Kakinada), operating from Hyderabad and Bengaluru.
If you're looking for us in fancy tech parks, sorry, we can't afford that for now. We fully focus on utilizing every penny on projects, not on spacious locations.
Currently, all our team members are freelancers. We don't have regular employees yet. But our directors are available to reach anytime. We're a lean team focused on delivery, not headcount.
Hyderabad & Bengaluru
Every penny on work
Always reachable
Partners, Not Just Investors
Yes, we are actively looking for investment, but with intention.
We want partners who can help us lead our dreams, not just cash in on market trends. We're not chasing hype. We want to fill the gaps that have been laying around for decades, with the help of AI.
If that resonates with you, let's talk.
Want to talk?
We're always reachable.
Contact Us