AKEEYO Launches XPRO, a Custom-Fit 4K Dash Cam Built for the Toyota RAV4

Officially authorized Sony STARVIS 2 imaging, a factory-style install in about four minutes, and no cables running down the windshield. Now available in North America.

SHENZHEN, China, Sept. 10, 2026 /PRNewswire/ -- AKEEYO Global today announced the XPRO, a vehicle-specific 4K dash cam engineered exclusively for the Toyota RAV4. XPRO replaces the original plastic housing behind the rearview mirror and draws power from a connection point already located near the mirror, so there is no suction mount, no cable taped down the windshield, and no visible hardware on the dashboard.

The RAV4 is one of the highest-volume vehicles on North American roads, and its owners have long faced the same compromise. Universal dash cams record well but hang off the glass. Vehicle-specific models look clean but often fall short on imaging, connectivity, or long-term durability. XPRO was built to close that gap.

Imaging that AKEEYO can document, not just claim

XPRO records true 4K at 25fps through a Sony STARVIS 2 IMX678 sensor paired with an F1.08 large aperture and HDR. AKEEYO sources the sensor through authorized supply channels and holds written confirmation from Sony verifying its use, a level of documentation that is uncommon in a category where sensor names are frequently listed without evidence.

The practical result shows up after dark. Tunnels, unlit residential streets, oncoming headlights, and the high-contrast moment when a car exits a parking structure into daylight are exactly the conditions that flatten most footage into an unusable blur. The combination of a larger aperture, 4K resolution, and HDR is intended to keep plate characters, lane markings, and vehicle detail legible when a clip actually needs to be reviewed.

A four-minute install with nothing left behind

Installation requires no drilling, cutting, wire splicing, or fuse-box work for standard driving recording. Owners remove the original mirror cover with the included trim tool, plug in the supplied adapter, tuck the cable inside the XPRO housing, and press the unit into the factory mounting position. Start the vehicle and XPRO begins recording automatically.

The install is fully reversible. XPRO can be removed and the original mirror housing reinstalled at any time, which matters for leased vehicles and for resale.

XPRO ships in two housing designs to match RAV4 production variations. The version without vent openings fits select 2019 to 2024 RAV4 models and the 2022 RAV4 Prime. The version with vent openings fits select 2022 to 2025 models. Because mirror housings vary by model year, trim, and market, AKEEYO asks buyers to match the reference images rather than rely on model year alone, and offers a free fit-check by email for anyone unsure.

Built for a car that sits in the sun

A parked cabin in Phoenix or Dallas can reach temperatures that destroy conventional lithium batteries. XPRO uses an automotive-grade supercapacitor instead, backed by a six-layer ENIG circuit board with gold-finished contacts that resist oxidation and corrosion. The camera is rated for operation from minus 4°F to 158°F.

Evidence retrieval without pulling the card

Loop recording keeps coverage continuous, and a three-level G-sensor locks the current clip when an impact is detected so it survives overwriting. Voice commands let drivers photograph or lock a clip without reaching for the camera, and spoken alerts confirm recording, Wi-Fi, audio, and storage status.

Dual-band Wi-Fi on 2.4GHz and 5GHz connects XPRO to the AKEEYO app for live preview, playback, and downloads of up to 20MB/s under suitable conditions. Drivers can save the clip they need directly to a phone at the roadside without removing the microSD card.

Optional GPS and parking protection

The optional GPS Module records route, speed, direction, location, and time alongside footage, with synchronized video and map playback in the AKEEYO app or the desktop player. For coverage after the engine is off, an optional ACC Hardwire Kit or OBD Power Cable enables time-lapse parking monitoring with impact protection and low-voltage cutoff to help protect the vehicle battery.

Pricing and availability

XPRO for Toyota RAV4 is available now at akeeyo.com, priced at $289 USD. The package includes the XPRO camera, the compatible mirror power adapter, an installation trim tool, a 64GB microSD card, and documentation. Storage is supported up to 256GB. XPRO is a front-facing single-channel camera and does not include a rear camera. Every unit is covered by a 30-day money-back guarantee and an 18-month replacement warranty.

Launch offer: use code XPRO25 at checkout for 25% off the XPRO camera and 25% off all XPRO accessories, including the GPS Module, ACC Hardwire Kit, and OBD Power Cable.

Product page: https://www.akeeyo.com/products/xpro-rav4

About AKEEYO

AKEEYO Global develops recording and safety hardware for cars, motorcycles, and bicycles, including the AKY-V360S mirror dash cam, the NV-X2 night vision system, and the AKY-730Pro two-wheeler camera. The company designs its products around genuine, documented imaging components and automotive-grade construction, and supports customers worldwide through its global service network.

AKEEYO Global: https://www.akeeyo.com/

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AKEEYO Launches XPRO, a Custom-Fit 4K Dash Cam Built for the Toyota RAV4

AKEEYO Launches XPRO, a Custom-Fit 4K Dash Cam Built for the Toyota RAV4

A state-of-the-art general-purpose model in its class, built through automated AI research and designed to advance AI and scientific discovery.

BEIJING, Oct. 29, 2026 /PRNewswire/ -- Apex Intelligence has released Apex-35B-V1.0, its first model. Built on Qwen3.6-35B-A3B and further developed through mid-training and post-training, the 35B general-purpose model incorporates extensive proprietary datasets and research trajectories.

According to Apex Intelligence's evaluations, Apex-35B-V1.0 leads the similarly sized models tested in research and development capabilities while maintaining strong general-purpose performance. On selected benchmarks, it is competitive with substantially larger models.

AI participated autonomously in the model's development, including data construction, experiment design, code execution, analysis of training results and training optimization. Apex-35B-V1.0 can perform coding, agent workflows, question answering and deep search. It can also carry out end-to-end computational research workflows in AI research, computational science and robotics simulation.

Benchmark performance

Across 21 benchmarks, Apex-35B-V1.0 outperformed the similarly sized Qwen3.6-35B-A3B on 20 and Recursive Flint (40B) on 18, tying Recursive Flint on one. Beyond its strong performance on research tasks, the model demonstrated broad competitiveness in agentic tasks, coding, and reasoning, and surpassed larger models on selected benchmarks. Further details are available in the technical article.

Tech Blog：https://www.apexin.com/apex-35b/

Building Apex-35B-V1.0 Through Recursive Self-Improvement

Apex Intelligence developed Apex Research, an automated research system designed to enable recursive self-improvement. The system identifies model weaknesses, generates hypotheses, runs experiments and turns findings into measurable improvements. It contributed to the development of Apex-35B-V1.0 through self-evolving training data, automated experimentation, training recipes, GPU kernels and inference optimization.

Apex Research generates targeted training data to address weaknesses revealed by evaluation. When evaluations identified failures in computational fluid dynamics, the system analyzed the reasoning gaps, synthesized and validated new scientific training examples, and incorporated them into subsequent training rounds. Apex Intelligence reports that this process improved performance on its internal CFD-Bench by 32.1 points.

The system also analyzes evaluation results and agent trajectories to identify recurring failure patterns and refine training strategies. After identifying excessively long reasoning contexts and imbalanced data mixtures as factors affecting agent performance, it explored sequence-length distributions, short-to-long trajectory sampling ratios and token-aware batch compositions to improve agent reliability and training efficiency.

Apex Research extends this optimization to training and inference infrastructure. On the training side, its work on GPU load balancing, communication and computation overlap, dynamic batching, and token-aware workload distribution delivered 45–60% higher training throughput, according to Apex Intelligence. On the inference side, optimizations to attention kernels, KV-cache management and prefill/decode execution delivered 1.6–1.8 times faster decoding and 30–35% lower time to first token under comparable workloads.

Together, these improvements across data, training and infrastructure form a feedback loop in which each research iteration supports the next.

Availability

The weights for Apex-35B-V1.0 are available on Hugging Face. Accompanying code, a deployment guide and usage examples are available on GitHub. Developers can download and run the model for AI development, scientific computing and other research tasks. Model versions, hardware requirements, supported inference frameworks and licensing information are detailed on the project pages.

GitHub：https://github.com/apexin-ai/Apex-35B-V1.0

Hugging Face：https://huggingface.co/Apexintelligence-AI/Apex-35B-V1.0

About Apex Intelligence and what comes next

Apex Intelligence was founded by Yongchao Chen, an assistant professor at Tsinghua University's College of AI. The company aims to build the next generation of self-evolving foundation models for research. By "self-evolving," it means enabling AI to participate in research, experimentation and validation, then using the resulting discoveries to improve the model itself.

Apex Intelligence aims to advance AI from an assistant to a research collaborator capable of contributing to new discoveries. Its long-term vision is to develop models whose collective research capability matches and progressively surpasses that of 100,000 leading AI scientists across disciplines.

Following Apex-35B-V1.0, the company plans to release a larger self-evolving foundation model with stronger AI research capabilities and expanded applications in scientific fields including chip design and quantum computing. Apex Intelligence plans to announce further details on the model's capabilities, benchmark results and availability.

** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **

Apex Intelligence Releases Apex-35B-V1.0, a General-Purpose Model Built With Automated AI Research