BPcore LogoBPcore Silicon
For Fabless Semiconductor Teams Building AI-Enabled SoCs

Building an AI Chip?

24-33 months in-house development. 60-70% first-attempt success rate (industry average). $2-3M respin if you miss timing. Or acquire production-ready IP.

Sky130 Tapeout-Ready
ASAP7 7nm Validated
16/16 Formal Properties Proven
Per-Chip Royalty (Forever)
$0
RTL Source Code Ownership
100%
Formal Properties Proven
16/16
Typical Integration Time
<4 Weeks
Silicon-Ready. Not Slideware.
60-66 TOPS/W @ 7nm • Formal Verified
What Are Your Alternatives?

Three Paths. Two Are Painful.

Path 1

Build In-House

  • Team Cost: 5 NPU architects × $100-150K/year$500K-$750K annually
  • Timeline: 24-33 months to production-ready RTL
  • Success Rate: 60-70% on first attempt (industry average)
  • Total Exposure: $1.5M-$2.5M before you know if it works
What happens to your tape-out date while you hire?
Path 2

License Traditional IP (ARM, Cadence, etc.)

  • Upfront Fee: $200K-$500K
  • Per-chip Royalty: 2-5% of ASP forever
  • At 1M units: $50 ASP × 3% royalty$1.5M royalty bleed
  • At 10M units: Lifetime royalty$15M
You're renting, not owning. Zero balance sheet value.
Path 3
RECOMMENDED

Acquire Production-Ready IP (Asset Transfer)

  • Fee: One-time acquisition fee
  • Royalties: Zero. Zero per-chip fees. Forever.
  • Ownership: Full RTL source code ownership
  • Timeline: Integration in weeks, not years
The IP becomes YOUR asset, increasing company valuation.

Own the Asset. Control the Source. Keep 100% of Your Margin.

$0
Per-Chip Royalty (Forever)
100%
RTL Source Code Ownership
16/16
Formal Properties Proven
<4 Weeks
Typical Integration Time
The Proof

Silicon-Ready. Not Slideware.

ValidationResult
PE Energy Efficiency60-66 TOPS/W (pre-layout, ASAP7 7nm)
Energy per MAC30-33 femtojoules
Formal Verification16/16 Properties Proven (Mathematical Guarantee)
Gate-Level Equivalence97% RTL-to-Gate Match
FPGA Timing Closure146 MHz (Lattice ECP5-85F)
ASIC SynthesisDRC=0, LVS=Clean (SkyWater 130nm)
Transparency Note: PE-level metrics exclude memory subsystem, NoC, and control overhead. System-level efficiency projected at 13-20 TOPS/W after integration overhead.
Competitors: Marketing Claims
vs
NeuraEdge: VCD-Verified Power Analysis
Credibility

Built by Engineers. Backed by Execution.

BPcore Silicon is a Mumbai-based semiconductor IP company founded by Bandhan Patil, an IT engineer from Mumbai University with years of entrepreneurial experience running a successful chemical manufacturing business.

“I learned something in manufacturing that applies directly to silicon: execution matters more than theory. When a customer depends on your product, you ship quality — no excuses.”

That operational discipline shaped how we built NeuraEdge:

  • 2.5 years from concept to production-ready RTL
  • 34,726 lines of verified, lint-clean code
  • 16/16 formal properties mathematically proven
  • Lean team — when you call, you talk to the people who wrote the Verilog
Bandhan Patil - Founder & Chief Architect

Bandhan Patil

Founder & Chief Architect

Mumbai, India

We're not a large IP house with ticket queues and 6-week response times. We're a focused team that treats your tape-out deadline like our own.

Our Mission

Making World-Class NPU IP Accessible to Indian Semiconductor Teams

India's semiconductor ecosystem is at an inflection point. Hundreds of fabless companies are racing to build AI-enabled SoCs—but most face an impossible choice: spend $1.5-2.5M building NPU IP from scratch, or pay royalties forever to foreign IP vendors.

We built BPcore Silicon to offer a third path.

What We BelieveHow We Act
Engineers deserve source codeNo encrypted RTL. No black boxes. You own what you buy.
Indian teams deserve Indian pricingEconomics designed for this market, not Valley budgets.
Verification is non-negotiable16/16 formal proofs, 53/53 tests, before we ship anything.
Your success isn't our revenue streamZero royalties. Your margins stay yours—forever.
Support means talking to engineersNo ticket queues. Direct access to the architects who built it.

Our Goal: Help 100 Indian semiconductor companies tape out AI-enabled chips with technology they own, not rent.

Read Our Full Story