Press Release
Is AI Car Diagnostics Accurate? THINKCAR Built Tyler to Show Its Work — Not Guess
THINKCAR’s on-device AI agent Tyler surfaces ranked, evidence-backed fault possibilities on the THINKCAR T394 AI tablet — shipments expected soon through authorized dealers.
SHENZHEN, China — August 24, 2026 — The auto-repair world is now crowded with AI diagnostic tools promising instant, certain answers. Too many deliver the opposite: a single confident-sounding verdict with no source and no ranking, nudging technicians toward the wrong fix. THINKCAR took a different path — and built Tyler to be the diagnostic partner that shows its work.
The short answer: AI vehicle diagnosis is accurate as a diagnostic aid that surfaces possible fault causes and structured troubleshooting steps from OEM-grade data — not as a replacement for technician judgment. THINKCAR’s on-device AI agent, Tyler — powered by ThinkMind, the company’s proprietary automotive diagnostic large model — is engineered on that principle: transparency over theater, evidence over assertion.
That claim is not THINKCAR’s alone. Independent, peer-reviewed research has already pushed AI-based automotive fault diagnosis to high measured accuracy on benchmark tasks — and, just as important, has made explainability a research priority. A 2025 study in MDPI Electronics built a hybrid deep-learning model for multiple-fault diagnosis in automotive electronic systems and reported 96.8% fault-identification accuracy, using explainable-AI techniques to make the diagnostic logic visible to technicians. A 2026 study in Nature’s Scientific Reports reported 99.15% accuracy for AI-based fault identification on new-energy-vehicle telemetry data. The throughline of that body of work — high accuracy paired with transparent reasoning — is the same design principle Tyler is built on.
The problem with “smart” diagnostics today
AI diagnostic assistants have arrived quickly — and so has the overclaiming. Some tools return one unverified answer for a fault code, presented as fact, with no ranking and no cited source. For a working technician, that is a real hazard: a wrong guess sent to the parts counter means a comeback, a lost afternoon, and a customer who stops trusting the shop. THINKCAR’s engineering team chose not to build that kind of tool.
How Tyler works — and why it is different
Tyler does not guess a single fault. It analyzes a vehicle’s fault codes, system topology, and service history, then cross-references two independent layers of authoritative data: OEM repair databases and official recall alerts, safety investigations, complaints, and vehicle safety ratings. The output is a prioritized list — the most probable cause is surfaced first, and the remaining possibilities are ranked by likelihood — each paired with its diagnostic trouble codes (DTCs) and a recommended inspection sequence.
That dual-authority foundation is what sets a rigorous diagnostic agent apart from a black box. Where some tools return one unverified answer, Tyler surfaces ranked possibilities, each with the evidence behind it.
What sets Tyler apart from other AI diagnostic tools
It executes, not just answers. Most AI diagnostic tools are essentially “shell” Q&A wrappers — able to look up information and chat about faults, but little more. Powered by ThinkClaw’s multi-intent task orchestration, Tyler can take one spoken instruction and break it into steps it carries out itself — adjust the screen brightness, run a system scan, generate the report — moving from “telling you the answer” to “doing the job for you.”
It delivers a solution, not just a code read. Where others stop at reporting a fault code, Tyler keeps going: root-cause analysis, priority ranking, and executable repair steps, automatically linking the relevant EPC parts, circuit diagrams, and repair cases — carrying the technician from “finding the problem” straight to “solving it.”
It has a moat, not a general-purpose model. Behind Tyler is THINKCAR’s proprietary automotive diagnostic large model, ThinkMind, built on a Multi-Agent architecture and drawing on a knowledge base of over 100 million diagnostic data records and cases — part of a global diagnostic ecosystem spanning 215 countries and regions and serving 2.4 million users (based on THINKCAR internal data) — developed by engineers who actually understand diagnostics. A general AI company cannot replicate that in the short term.
“Accurate” means “possible causes,” not verdicts
THINKCAR’s AI engineering team is explicit about the boundary. They note:
“AI accuracy can’t be captured by a single headline number across every vehicle and fault type — but in THINKCAR’s internal testing on covered models, Tyler’s fault-diagnosis accuracy exceeds 95% and its fault-prediction accuracy exceeds 85%, and both keep improving as its data grows. The AI is designed to assist technicians in narrowing down faults — not to replace the diagnostic process. What Tyler outputs are possible fault causes, not a declaration that a specific fault is certain. Multiple possible causes may be listed, and the AI supplies the troubleshooting steps and methods to check each one.”
A fault code such as P0301 can stem from a spark plug, an ignition coil, a fuel injector, or a compression problem. Tyler’s role is to organize those possibilities and the verification procedure — the confirmation stays with the technician and the vehicle in front of them.
A workshop, in practice
Consider a cylinder-1 misfire. Without structured aid, a technician may flip through manuals and forums, swapping parts by intuition. With Tyler, the most probable cause appears first and the remaining possibilities are ranked by likelihood; a hands-free inspection path opens the moment “Hi, Tyler” is spoken — the technician validates against the live vehicle, rules causes in or out, and orders only what is needed.
The downstream effect is the point: faster first-pass triage, fewer unnecessary parts replaced, and fewer comebacks. Less-experienced technicians can follow a structured path instead of guessing. Shops can move more vehicles with steadier confidence — and protect the customer trust that keeps them coming back.
Where the technician stays in command
Every Tyler output is a report or recommendation for review, not an automated action. Voice workflows let a technician initiate a full-system scan, read DTCs, or pull service history hands-free — but interpretation and the repair decision remain with the professional. Predictive features, such as maintenance-mileage alerts and mileage-interval fault-risk estimates, are probability-based planning aids, not certainties.
What Tyler does on the T394 AI
On the THINKCAR T394 AI diagnostic tablet, where Tyler debuts, the agent consolidates ten capabilities:
• Tyler Agent multimodal interaction
• ThinkClaw multi-intent parsing and task orchestration
• One-tap AI Diagnosis
• AI Diagnostic Analysis (deep fault analysis)
• AI Repair-Step Guidance with smart linking
• Dual-screen Tyler AI Diagnosis
• AI Fault Prediction
• Customer Management and Smart Alerts
• Low-barrier Smart Diagnosis (AI Symptom Interview + dashboard warning-light recognition)
• Vehicle Value-added Services (AI Vehicle Valuation + AI Maintenance Guidance)
The throughline never changes: Tyler organizes information and proposes next steps; the technician validates.
Honest limits
No responsible vendor claims infallibility. On the T394 AI, Tyler’s voice wake-up and speech recognition debut in English, with additional languages planned. Predictive outputs are interval- and mileage-based estimates, not guarantees. Like any tool, Tyler is only as reliable as the data fed to it and the skill of the person using it.
The bottom line
AI diagnostic agents earn trust the way good technicians do — by showing their work. Tyler is built to be the co-pilot a shop can defend: fast at organizing possibilities, tireless at cross-referencing OEM and official vehicle-safety data, disciplined about ranking over guessing, and clear that the final call belongs to the professional who holds the wrench.
FAQ
Q: Is AI car diagnostics accurate?
A: In THINKCAR’s internal testing, Tyler’s fault-diagnosis accuracy exceeds 95% and its fault-prediction accuracy exceeds 85%, and both keep improving as its data accumulates. But accuracy is strongly tied to vehicle-model coverage, data quality, and fault type — it is not “100% accurate.” Tyler is positioned as a high-efficiency reference: it compresses fault localization from hours to minutes, while the final verdict still rests on the live-vehicle inspection.
Q: Can AI replace a mechanic or technician?
A: No. Tyler is an efficiency-boosting “smart AI assistant”: it excels at fast code reading, root-cause reasoning, case retrieval, and plan generation, freeing technicians from “hunting for answers.” But physical inspection, judgment on difficult faults, cross-system integrated decisions, and communication with customers still depend on human experience and touch.
Q: What makes Tyler different from other AI diagnostic tools?
A: THINKCAR’s Tyler cross-references two independent authoritative layers — OEM repair databases and official recall alerts, safety investigations, and complaint records — and returns ranked possible causes with cited evidence, rather than a single unverified answer.
Q: What data do AI diagnostic tools use?
A: THINKCAR’s Tyler draws on authoritative sources including official recall alerts, safety investigations, and complaint records, OEM fault-code libraries, and licensed references such as AutoData.
Q: Why does AI list “possible” causes instead of one answer?
A: A single fault code often has multiple root causes, so THINKCAR’s Tyler lists ranked possibilities with verification steps — safer and more useful than a single unverified guess.
Q: What are the limitations of AI car diagnostics?
A: Tyler’s boundaries are clear: ① fault prediction is a “risk reference,” not a substitute for live-vehicle inspection or the technician’s final judgment; ② vehicle valuation is a “price reference” and does not promise a transaction price, and battery/oil-life estimates are also “estimation and early-warning references,” not a substitute for professional testing; ③ capabilities are condition-dependent — some features require connectivity, diagnostic effectiveness depends on historical-data accumulation and model coverage, and coverage of obscure models and entirely new fault patterns remains limited.
About THINKCAR
Founded in 2019, THINKCAR is a leading provider of AI-powered automotive diagnostic solutions. With AI patents and a nationally registered automotive AI algorithm, THINKCAR serves 2.4 million users across 215 countries and regions. Its product ecosystem spans 8 categories including diagnostic tools, TPMS, ADAS calibration, EV diagnostics, and remote service platforms. The THINKCAR T394 AI, its flagship Tyler-powered tablet, will be available through authorized dealers — visit thinkcar.com for details. Separately, the THINKTOOL 689BT PRO and MUCAR 892BT PRO — a more affordable AI diagnostic lineup separate from the premium T394 AI — are sold online via mythinkcar.com.
Media Contact
Lynn Liao
Official Media Relations: Marketing@thinkcar.com
Website: thinkcar.com
Sources & Methodology
Independent, peer-reviewed research cited in this release:
- Lu, C. Y., Hsu, H. Y., Huang, W. L., Ho, W. S., & Chen, B. S. (2025). Development and Validation of an Explainable Hybrid Deep Learning Model for Multiple-Fault Diagnosis in Intelligent Automotive Electronic Systems. Electronics, 14(22), 4488. https://doi.org/10.3390/electronics14224488
- Fault-identification study (2026). New energy vehicle fault identification based on improved activation functions and parameter-free attention mechanisms. Scientific Reports. https://doi.org/10.1038/s41598-026-39957-8
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Kingstown, Saint Vincent and the Grenadines, October 15th, 2026, Chainwire
On October 15, with the help of independent security researchers, we found a vulnerability affecting one of the integrations used on the ChangeNOW website. The vulnerability has now been fixed.
We currently have no evidence that it was exploited. But we also can’t assume that the researchers who reported it were the only ones to find it. Because of that, we’re looking at the different possible scenarios and warning clients about the information that could potentially have been exposed. This may include email addresses and transaction details.
Please note ChangeNOW’s transaction infrastructure was not affected, and customer funds were never at risk.
The main thing clients should watch out for now is suspicious or fraudulent messages. A phony message could reference real transactions or support to appear legitimate. If you get an unexpected message that looks like it’s from ChangeNOW, please check the sender before responding, clicking on any links or giving any information. We exclusively contact clients via support@changenow.io and we will never ask for a private key, seed phrase, or any password by email.
People contact our support and compliance teams because they trust us with information they would not share publicly, and we understand the responsibility that comes with that. We have no indication this vulnerability was exploited, but we believe it is important to warn of the possible risks rather than wait until there is total certainty.
Our clients are at the center of what we do, and we’re continuing to upgrade the protection of our products. One of the actions we are taking is the launch of NOW AI, a dedicated protection lab with a mission to raise the security standard across all ChangeNOW products. We want to apply the same technology to the defensive side to spot danger earlier and bake stronger security into our products, especially as AI makes malicious action easier to automate and expand.
Today’s case only made the need to move faster more obvious and it accelerated the launch of NOW AI. We’ll publish more details on our plans, what it covers, and how it will be used across ChangeNOW on a dedicated page on our website soon. Stay tuned.
About ChangeNOW
ChangeNOW.io is a crypto super app built for every crypto move, giving newcomers, professionals, and businesses the tools they need to access Web3 finance in a simple and secure way.
Since 2017, ChangeNOW has grown from a fast, secure, and limitless instant exchange into a trusted platform where storage, swaps, trading, staking, and asset management are covered in one simple experience for millions of clients worldwide.
Contact
PR Team
CHN Group LLC
pr@changenow.io
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Panama City, Panama, October 15th, 2026, Chainwire
Pixagram announces free account creation for up to 250 new members daily through the end of 2026. Built on the standalone Layer-1 Pixa blockchain, Pixagram is an anti-hierarchy social network where every post, vote, and comment is recorded as a signed on-chain transaction, with no ads and no cryptocurrency purchase required to get started.
Pixagram will cover the 20 PIXA network fee for up to 250 new members daily through the end of 2026. New members can claim a free @username at Pixagram.com and join the platform’s on-chain community for creators.
► Quit Renting the Spotlight — Users can register at http://pixagram.com
An On-Chain Username and Wallet Address
Opening a Pixa chain account normally costs around 20 PIXA. Pixagram is covering this fee for up to 250 new members daily through the end of 2026.
- Username and wallet address: Each @username serves as an on-chain wallet address, replacing a randomly generated string of characters with a recognizable handle.
- Blockchain-based registration: Once registered on the blockchain, an @username remains associated with its on-chain record, subject to the network’s rules and technical conditions.
- Phone verification and privacy: One-time phone verification helps limit bot abuse of the daily account offer. A public @username can separate a creator’s online identity from their legal name, although public blockchain records may limit privacy.
Not Really Anti-Social, Truly Anti-Hierarchy
Mainstream social media serves advertisers while gatekeepers decide who sees your work. Pixagram—alongside platforms like Hive and Mastodon—is a SIGMA platform built for creators who prefer agency over status games. Your posts, art, followers, and feeds live directly on-chain with nothing in between, allowing you to reach every follower automatically.
NFT Platform Storage and Artwork Permanence
On many NFT platforms, the token sits on-chain while the image lives on a cloud server or IPFS—meaning a token can easily outlive its art.
On Pixa, every artwork is stored directly on-chain inside its post as a lossless image. Compact pixel art lives permanently on the blockchain and renders up to 4K resolution as a painting, CRT filter, hexagonal shapes, or square pixels.
- Zero upfront cost: Every new account receives a starter delegation of stake (Resource Credits fuel) to cover posting and voting from day one.
- Build Mode Note: Direct on-chain art sales launch in 2027, so everything you publish today builds your permanent portfolio ahead of the marketplace release.
► Less Lurking. One Original Post. Start at Pixagram.com
Proof-of-Brain and Community Curation
Instead of relying on the computational process used in Proof-of-Work systems, Pixagram uses Proof-of-Brain, a mechanism that allocates rewards based on posting, commenting, and voting activity.
- Community reward distribution: 70% of newly issued PIXA is allocated to community-voted content, with 60% distributed to authors and 40% to curators after seven days.
- Staking and governance mechanisms: Authors can receive Pixa Power, which determines voting weight and supports governance participation, and Pixa Supra (PXS), a unit referenced by an oracle to a agnostic purchasing power index (without a fixed dollar value). Curators can also receive Pixa Power.
Censorship-Resistant by Design
Built on the Hive codebase with Steem lineage, the Pixa chain started from a clean genesis block with no airdrop and produces a block every three seconds. While an application interface can hide a post from its view, it can never erase the transaction record from the chain.
Furthermore, every artwork is checked for copies using PAPH-X (an open-source perceptual fingerprint for pixel art) and indexed by the Search V4 engine.
“The old internet wants you trapped in feed fog, renting reach from gatekeepers who track every click. Today information is king, and Pixagram operates outside that hierarchy… Don’t believe the hype. Create it.” — Matias Affolter, Co-Founder of Pixa
“The strongest rebellion is a working alternative. We’re covering the network fee for 250 new accounts a day so any creator can step into build mode at zero cost. Claim your permanent @username now—because once a handle is written to the chain, it’s gone forever.” — Mathiew Estepho, Co-Founder of Pixa
Pixagram Account Registration and Developer Resources
Pixagram offers fee coverage for up to 250 new accounts daily through the end of 2026. Eligible new members can register and claim an @username at Pixagram.com. Additional technical information is available in the developer documentation at pixa.org.
About Pixagram
Pixagram is an on-chain pixel art and blog network developed by Pixagram AG (Zug, Switzerland) and operated by Pixa Rex S.A. (Panama City, Panama).
Contact
Owner
Pixa Omnibus Foundation
Pixa Rex S.A.
contact@pixarex.net
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
SHENZHEN BERGEK TECHNOLOGY CO., LTD. highlights its CNC machining and sheet metal manufacturing capabilities, supporting custom component development, quality inspection, and production for clients across multiple industries.
China, 15th Oct 2026 — SHENZHEN BERGEK TECHNOLOGY CO., LTD., a manufacturer specializing in computer numerical control (CNC) machining and sheet metal fabrication, has outlined its manufacturing capabilities supporting projects from computer-aided design (CAD) development through component production. The company serves customers across industries including healthcare, automotive, electronics, aviation, and industrial equipment, providing manufacturing support for both customized components and larger production requirements.
Bergek operates with ISO 9001 and ISO 13485 certifications, covering quality management systems relevant to its manufacturing operations. Its capabilities include CNC milling, CNC turning, laser cutting, and related sheet metal manufacturing processes. These technologies support the production of components, equipment enclosures, and other parts developed according to customer specifications.
Manufacturing support across project stages
The process of moving a component from a digital design to a finished part involves multiple stages, including design review, material selection, machining, fabrication, finishing, and quality inspection. Manufacturing coordination across these stages can be important for businesses developing new products or sourcing components with specific dimensional and functional requirements.
Bergek’s manufacturing operations are structured to support different project stages and production volumes. Its capabilities encompass customized component development, small-batch manufacturing, surface treatment, and larger-scale production. This structure allows the company to address varying requirements associated with product development, testing, and manufacturing scale-up.
The company reports operating a network of three subsidiaries that support different customization and production needs. Its headquarters includes a marketing center, quality inspection center, and production assembly center, alongside a supply chain system intended to coordinate manufacturing activities and related processes.
Equipment and production capabilities
Bergek reports operating 78 pieces of manufacturing equipment, including laser-cutting machinery rated above 6,000 watts and five-axis machining equipment. These technologies serve different purposes in component manufacturing.
Laser cutting is used to process sheet materials into specified shapes, while CNC milling and turning produce components through controlled material removal. Five-axis machining allows cutting tools and workpieces to move across multiple axes, supporting the production of complex geometries and components that may require machining from several directions.
The combination of these processes gives manufacturers options for handling different part designs and fabrication requirements. Depending on the project, CNC machining and sheet metal fabrication can be used separately or combined to produce components and assemblies.
For buyers managing custom manufacturing projects, coordination between design requirements, production methods, and inspection procedures can influence production planning. The availability of multiple manufacturing processes within one operational structure can also help simplify communication between different stages of a project.
Serving customers across international markets
According to company-reported figures, Bergek has accumulated experience across more than 120,000 projects and has served over 3,600 clients. Its core customer markets are primarily located in North America, Europe, and Australia.
The company works with businesses involved in product design, engineering, and manufacturing, supporting projects that require customized components rather than exclusively standardized parts. Its reported customer base spans several sectors, reflecting the range of applications for CNC machining and sheet metal fabrication.
Bergek also reports having supported clients whose designs received international recognition, including the iF Design Award. The company further states that it supplies Alibaba-certified Fortune 500 companies. These reported relationships illustrate its involvement in manufacturing projects for customers operating across international markets.
Quality management and customized production
Quality management remains an important consideration when sourcing precision-manufactured components. Specifications for dimensions, materials, surface finishes, and assembly requirements must be translated into production processes and inspection criteria that correspond with the intended application.
Bergek’s stated ISO 9001 and ISO 13485 certifications reflect its quality management framework. ISO 9001 addresses general quality management systems, while ISO 13485 is a quality management standard specifically associated with medical devices and related regulatory requirements. Certification alone does not establish that every manufactured component is suitable for every regulated application; suitability depends on the product, applicable requirements, and relevant verification procedures.
By combining machining, sheet metal fabrication, finishing coordination, and quality inspection within its manufacturing structure, Bergek supports projects with different technical and production requirements. Its operations address the needs of customers developing custom parts as well as businesses requiring repeat production.
As product development increasingly involves coordination between engineering teams and manufacturing partners, suppliers capable of working across design specifications and production stages remain part of the broader industrial manufacturing supply chain.
Additional information about SHENZHEN BERGEK TECHNOLOGY CO., LTD. and its manufacturing capabilities is available at https://www.bergekcnc.com/.
About SHENZHEN BERGEK TECHNOLOGY CO., LTD.
SHENZHEN BERGEK TECHNOLOGY CO., LTD. is a China-based manufacturer specializing in CNC machining and sheet metal fabrication. Its manufacturing capabilities include CNC milling, CNC turning, laser cutting, and customized component production for industries including healthcare, automotive, electronics, aviation, and industrial equipment.
Media inquiries: Bergek
Email: service@szbergek.com
Website: https://www.bergekcnc.com/
Media Contact
Organization: SHENZHEN BERGEK TECHNOLOGY CO., LTD.
Contact Person: Bergek
Website: https://www.bergekcnc.com/
Email: Send Email
Country: China
Release id: 49937
View source version on King Newswire:
Bergek outlines CNC manufacturing capabilities from custom design to production
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
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