Vertex IP provides patent drafting, patent searching, and portfolio analytics services.

Vertex IP provides cutting-edge patent and competitive analytics services drawn from deep technical and legal expertise and grounded in up-to-the-minute data.

US 12,720,270 B2 Granted Aug. 25, 2026 MASKING ZONE IN METADATA FOR SPATIAL AUDIO RENDERINGUS 12,720,270 B2FILED May 22, 2024GRANTED Aug. 25, 2026
Network graph: 90 references USPTO examiners applied as prior art in rejections leading back to US 12,720,270 B2.

Patent analysis insights that keep you ahead of the competition.

Examiners and AI

Rejection metrics from an actual examiner
AI search performedAI search reference applied in rejection
0%50%100% ’22’23’24’25’26 100%33.3% 2022-01 · AI search performed 0% · AI search reference applied in rejection 0% 2022-02 · AI search performed 3.3% · AI search reference applied in rejection 0% 2022-03 · AI search performed 6.7% · AI search reference applied in rejection 0% 2022-04 · AI search performed 6.7% · AI search reference applied in rejection 0% 2022-05 · AI search performed 10% · AI search reference applied in rejection 3.3% 2022-06 · AI search performed 23.3% · AI search reference applied in rejection 3.3% 2022-07 · AI search performed 40% · AI search reference applied in rejection 10% 2022-08 · AI search performed 53.3% · AI search reference applied in rejection 10% 2022-09 · AI search performed 70% · AI search reference applied in rejection 13.3% 2022-10 · AI search performed 80% · AI search reference applied in rejection 10% 2022-11 · AI search performed 83.3% · AI search reference applied in rejection 10% 2022-12 · AI search performed 86.7% · AI search reference applied in rejection 3.3% 2023-01 · AI search performed 86.7% · AI search reference applied in rejection 6.7% 2023-02 · AI search performed 93.3% · AI search reference applied in rejection 6.7% 2023-03 · AI search performed 93.3% · AI search reference applied in rejection 6.7% 2023-04 · AI search performed 96.7% · AI search reference applied in rejection 6.7% 2023-05 · AI search performed 96.7% · AI search reference applied in rejection 6.7% 2023-06 · AI search performed 96.7% · AI search reference applied in rejection 13.3% 2023-07 · AI search performed 90% · AI search reference applied in rejection 13.3% 2023-08 · AI search performed 83.3% · AI search reference applied in rejection 10% 2023-09 · AI search performed 83.3% · AI search reference applied in rejection 6.7% 2023-10 · AI search performed 80% · AI search reference applied in rejection 10% 2023-11 · AI search performed 83.3% · AI search reference applied in rejection 16.7% 2023-12 · AI search performed 83.3% · AI search reference applied in rejection 20% 2024-01 · AI search performed 86.7% · AI search reference applied in rejection 16.7% 2024-02 · AI search performed 90% · AI search reference applied in rejection 16.7% 2024-03 · AI search performed 90% · AI search reference applied in rejection 20% 2024-04 · AI search performed 90% · AI search reference applied in rejection 20% 2024-05 · AI search performed 90% · AI search reference applied in rejection 13.3% 2024-06 · AI search performed 90% · AI search reference applied in rejection 13.3% 2024-07 · AI search performed 86.7% · AI search reference applied in rejection 16.7% 2024-08 · AI search performed 86.7% · AI search reference applied in rejection 26.7% 2024-09 · AI search performed 86.7% · AI search reference applied in rejection 26.7% 2024-10 · AI search performed 90% · AI search reference applied in rejection 26.7% 2024-11 · AI search performed 90% · AI search reference applied in rejection 26.7% 2024-12 · AI search performed 93.3% · AI search reference applied in rejection 26.7% 2025-02 · AI search performed 90% · AI search reference applied in rejection 23.3% 2025-03 · AI search performed 86.7% · AI search reference applied in rejection 23.3% 2025-04 · AI search performed 90% · AI search reference applied in rejection 20% 2025-05 · AI search performed 93.3% · AI search reference applied in rejection 13.3% 2025-06 · AI search performed 93.3% · AI search reference applied in rejection 10% 2025-07 · AI search performed 93.3% · AI search reference applied in rejection 13.3% 2025-08 · AI search performed 93.3% · AI search reference applied in rejection 16.7% 2025-09 · AI search performed 100% · AI search reference applied in rejection 20% 2025-10 · AI search performed 100% · AI search reference applied in rejection 20% 2025-11 · AI search performed 100% · AI search reference applied in rejection 20% 2025-12 · AI search performed 100% · AI search reference applied in rejection 20% 2026-01 · AI search performed 100% · AI search reference applied in rejection 16.7% 2026-02 · AI search performed 100% · AI search reference applied in rejection 23.3% 2026-03 · AI search performed 100% · AI search reference applied in rejection 26.7% 2026-04 · AI search performed 100% · AI search reference applied in rejection 26.7% 2026-05 · AI search performed 100% · AI search reference applied in rejection 26.7% 2026-06 · AI search performed 100% · AI search reference applied in rejection 30% 2026-07 · AI search performed 100% · AI search reference applied in rejection 30% 2026-08 · AI search performed 100% · AI search reference applied in rejection 33.3%

Number of office actions in which a reference is applied, as a % of reference type

applied in 1 office action · AI-found: 56.5% (26 of 46) 56.5 applied in 1 office action · manually-found: 64.4% (385 of 598) 64.4 1 applied in 2 office actions · AI-found: 28.3% (13 of 46) 28.3 applied in 2 office actions · manually-found: 26.8% (160 of 598) 26.8 2 applied in 3 office actions · AI-found: 10.9% (5 of 46) 10.9 applied in 3 office actions · manually-found: 6.4% (38 of 598) 6.4 3 applied in 4+ office actions · AI-found: 4.3% (2 of 46) 4.3 applied in 4+ office actions · manually-found: 2.5% (15 of 598) 2.5 4+
AI-found reference, n = 46Manually-found reference, n = 598

Years from grant to IPR, top five most-challenged technology areas

Proceedings by primary CPC main group
Data transfer I/O G06F3 · 310 patents · 132 owners 051015G06F3 Data transfer I/O: 509 IPR proceedings · median 5.96 years from grant · p25 2.97, p75 9.38 Network security architectures H04L63 · 270 patents · 126 owners 051015H04L63 Network security architectures: 447 IPR proceedings · median 5.08 years from grant · p25 2.51, p75 9.23 Video on demand H04N21 · 249 patents · 98 owners 051015H04N21 Video on demand: 439 IPR proceedings · median 4.54 years from grant · p25 2.73, p75 8.3 Marketing, customer relationships, sales G06Q30 · 244 patents · 120 owners 051015G06Q30 Marketing, customer relationships, sales: 402 IPR proceedings · median 4.91 years from grant · p25 2.42, p75 9.17 Information retrieval; database structures G06F16 · 242 patents · 140 owners 051015G06F16 Information retrieval; database structures: 385 IPR proceedings · median 7.36 years from grant · p25 3.1, p75 12.08

Reciprocal prior art

Two companies’ publications applied against each other as prior art
Company A art → Company B applications1,789 citations923publications976applicationsCompany B art → Company A applications1,426 citations753applications665publications
Company A publications Company B publications
One dot = 25 publications or applications. Solid dots are prior art publications; pale dots are rejected applications. Examples from real data.
the competitive edge

Abandonment rates between competitors

When a company’s U.S. application is rejected over prior art owned by another company or by itself, how often does it abandon the application compared to its U.S. portfolio average?
Applicant Abandoning
Company Rejecting
Portfolio
Abandonment
Rate
Micron SK hynix Samsung TSMC
Micron 2.5% 4.2% 2.6%* 3.6% 7.0%
SK hynix 10.0% 14.5% 12.6% 15.1% 24.2%
Samsung 16.0% 20.3% 9.8% 16.4% 10.6%
TSMC 1.9% 4.0% * 2.0% 1.9%
The company on the left is applying for a patent; the company on top owns the prior art
Micron SK hynix Samsung TSMC
Micron +1.7% +0.1%* +1.1% +4.5%
SK hynix +4.5% +2.6% +5.1% +14.2%
Samsung +4.3% −6.2% +0.4% −5.4%
TSMC +2.1% * +0.1% 0.0%
Change in abandonment rate vs. portfolio average for applicants

* Fewer than 20 data points · Source: U.S. Patent and Trademark Office data

Areas of Expertise

Vehicle control and navigation

Autonomous vehicles, surface and subsea vessels, aircraft, drones and UAVs

Aircraft systems

Avionics, turbines and air propulsion systems, GPS, RADAR/LiDAR, aircraft communication

Space systems

Spacecraft, electric propulsion, rocket propulsion, power, payloads, material compatibility

Semiconductor fabrication/MEMS

Deep reactive ion etching, Si/SiO2 wafer processing, photolithography, atomic force microscopy, wafer bonding

Datacenters

High-performance compute clusters, temperature management and cooling systems, networks, three-dimensional integrated circuits (3DICs), high-bandwidth memory (HBM), integrated circuits including CPUs, GPUs, TPUs, and photonic integrated circuits

Medical devices

Wearable tech, biometric sensors, disease and activity monitoring

RF/Wireless communication

Signal processing, antenna arrangements, sensors and instrumentation

About Vertex IP

Alexander Bost

Vertex IP is owned and operated by Alexander Bost, a registered patent practitioner (USPTO Reg. No. 81,681) and former patent examiner.

After graduating from Lehigh University with a B.S. in Mechanical Engineering, Alex spent four years conducting academic research at MIT in fields spanning materials science, biology, computational neuroscience, condensed matter physics, and space systems. He earned a Master’s degree from MIT in Aeronautics and Astronautics with a focus on space propulsion, where he worked on ion electrospray propulsion systems.

Alex worked at an ion engine startup after completing his graduate degree, performing vacuum chamber testing, microelectromechanical systems (MEMS) fabrication in a Class 10 cleanroom, and laser micromachining. He helped lead a breakthrough in microfabrication techniques that improved microstructure manufacturing precision by more than 10x and ion thruster performance by more than 5x. He is a named inventor on U.S. Patent No. 11,545,351, Apparatus for Electrospray Emission.

Alex spent three years as a patent examiner with the USPTO in Art Unit 3662, examining patent applications in vehicle control and navigation with a focus on autonomous vehicles, AI/ML systems, and robotics, producing over 300 office actions during that time.

After leaving the USPTO, Alex worked at a composites manufacturing startup managing patent filings, interfacing with engineers to identify potential inventions, and educating the company about the patenting process. He passed the USPTO Patent Practitioner Registration Exam in early 2023 and spent two and a half years as a patent agent in Boston IP law firm practice before joining a patent software startup developing agentic AI tools for patent analysis. Alex founded Vertex Intellectual Property LLC with the goal of providing the best value in patent search and analytics services by leveraging his broad scientific, technical, and patent-specific background.

Outside of patent law, Alex has a Wilderness First Responder certification and enjoys being outdoors as much as possible.

Contact

Interested in working together? Get in touch.

Or email directly at [email protected]