UK's First AI Pre-Diagnostic Intelligence Layer for Automotive Aftercare

Diagnose. Triage.
Route.

theautotriage transforms the high-uncertainty vehicle repair process into a data-driven, transparent ecosystem converting unstructured consumer evidence (engine audio, dashboard images, vague descriptions) into "Technician-Ready" diagnostic case files using advanced AI signal processing, routing vehicles to certified specialists instantly across the UK's £100 billion automotive aftercare sector.

Live Triage Intelligence Monitor
🔊
Acoustic FFT Analysis Complete 97%
📷
CNN Visual Fault Classification 91/94
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EV/ADAS Routing Flags Active 4 Specialist
🛡️
DVSA & GDPR Compliance Compliant
⏱️
Diagnostic Intake Time Saved < 2 sec
93
Triage Confidence Score
Technician-Ready · Certified Routing
24.7%
Surge in UK vehicle repair costs
since 2023 35% parts price hike
AXA / Motor Insurers Bureau 2024
23,000
Technician vacancies in the UK
with only 2% ADAS-certified
IMI Skills Report 2024
£100B
UK automotive aftercare market
serving 41.9M road users
SMMT / AIM Aftermarket 2024
35%
Diagnostic intake reduction target
through AI triage pre-booking
theautotriage Platform Projection
How It Works

From Vague Driver Description to Technician-Ready Case File in Under 2 Seconds

Every theautotriage triage follows a precision four-stage diagnostic journey from multimodal signal capture and AI-driven fault classification, to suitability-led routing and closed-loop learning.

STEP 01

Capture & Ingest

Drivers record engine audio, capture dashboard warnings, and describe symptoms via smartphone no hardware required.

STEP 02

AI Triage & Classify

AI analyses sound frequencies and visual inputs to generate a confidence-weighted fault diagnosis in seconds.

STEP 03

Route & Match

Each case is routed to the most suitable certified workshop based on fault type and required expertise.

STEP 04

Learn & Improve

The system learns from every repair outcome, improving accuracy and building a proprietary diagnostic dataset.

Core Capabilities

Four Proprietary Engines. One Pre-Diagnostic Intelligence Layer.

theautotriage combines four proprietary AI engines into a single pre-diagnostic infrastructure stack the only platform in the UK that unifies multimodal signal processing, uncertainty compression, suitability-led routing, and closed-loop outcome learning into one Technician-Ready case file generation system for the automotive aftercare sector.

ROD KNOCK FFT ACOUSTIC FINGERPRINT ANALYSIS
Engine 01

PBUCE Uncertainty Compression Engine

Applies Fast Fourier Transform (FFT) spectral analysis to audio recordings of engine anomalies, identifying frequency signatures that distinguish benign noises (loose heat shields) from catastrophic failure modes (rod knock, bearing collapse) with sub-2-second latency via Edge AI on standard smartphones.

The PBUCE maps noisy acoustic data against a proprietary library of historical UK vehicle failure-mode patterns, producing a confidence-weighted probability distribution (e.g., 78% sensor fault, 22% wiring harness) rather than a single binary diagnosis. This "uncertainty compression" manages consumer expectations before physical inspection, preventing unnecessary garage visits and write-off risk for insurers.
! ⚡ CNN VISUAL FAULT CLASSIFICATION
Engine 02

MCWTL Multimodal Translation Layer

Convolutional Neural Networks (CNNs) interpret dashboard warning-light imagery and vehicle fault photographs while NLP semantic transformation converts vague driver descriptions (e.g., "shaking at high speed") into standardized technical case objects (e.g., "Potential warped front brake discs; frequency-matched acoustic signature; safe to drive <40mph").

The MCWTL is the critical communication bridge that addresses the UK's fundamental information asymmetry between non-technical drivers and specialized technicians. By producing structured, standardized "Technician-Ready" case files, it slashes diagnostic intake time by a targeted 35%, directly addressing the 23,000-vacancy technician crisis by reducing the cognitive load on workshop staff during initial vehicle assessment.
IMI EV L4 ADAS CERT RSIME SUITABILITY ROUTING ENGINE
Engine 03

RSIME Suitability Routing Engine

In a market where only 22% of UK technicians are EV-qualified and merely 2% hold ADAS calibration certification, RSIME routes each inferred fault class exclusively to workshops with verified IMI TechSafe credentials ensuring high-voltage battery, ADAS sensor, and composite structural repairs reach only the workshops equipped and certified to complete them.

Unlike proximity-based booking platforms, RSIME performs technical alignment matching cross-referencing fault class probability against a live database of workshop certifications, equipment inventories, and bay availability. This eliminates the diagnostic bottleneck where vehicles are booked into generalist garages unable to legally or technically complete specialist EV or ADAS repairs, preventing extended vehicle downtime and insurer-forced write-offs.
Our Mission

Automotive Pre-Diagnostic Intelligence Built from Engineering Reality

theautotriage was born from a critical, observed failure: UK vehicle owners navigate a £100 billion repair market without any standardized method to communicate symptoms, assess urgency, or verify that their local garage possesses the technical qualifications to complete their specific repair leading to diagnostic waste, repair inflation, and costly insurer write-offs.

Our platform operates as a critical infrastructure layer upstream of the repair event transforming unstructured consumer evidence (engine audio, dashboard imagery, plain-language descriptions) into "Technician-Ready" diagnostic case files using advanced signal processing and AI, and routing those cases to certified specialists via our suitability intelligence engine.

Founded by Mandar Kasture (MSc Automotive Engineering, Cranfield University; Quality Inspector at BMW Mini) and Rohit Patil (PG Diploma International Business, Oxford Brookes; Operations at M&S), theautotriage is elite engineering pedigree encoded into a scalable, hardware-free AI platform built specifically for the UK's £100 billion automotive aftercare sector and the 41.9 million road users who depend on it.

PBUCE Uncertainty Compression
FFT Acoustic Fingerprinting
CNN Visual Fault Classification
RSIME Suitability Routing
RORLE Closed-Loop Learning
DVSA MOT History API Integration
UK GDPR · Privacy by Design
IMI TechSafe · FCA Consumer Duty
Founder & Technical Lead

Mandar Kasture

MSc Automotive Engineering, Cranfield University · Quality Inspector, BMW Mini

Mandar's deep expertise in powertrain simulation, vehicle structures, and quality assurance at BMW Mini provides the engineering foundation for theautotriage's diagnostic logic. He designed the PBUCE Uncertainty Compression Engine utilizing his expertise in Garrett Level 4 turbocharger systems and powertrain failure-mode analysis ensuring the AI is grounded in industrial engineering reality, not academic abstraction.

His research in composite crash tubes, EV chassis design, and structural fault inference directly powers theautotriage's EV battery health and ADAS calibration modules creating a technical moat that generalist tech competitors cannot replicate without equivalent automotive engineering depth.

Co-Founder & Operations Lead

Rohit Patil

PG Diploma International Business, Oxford Brookes · Operations Management, Marks & Spencer

Rohit's operational expertise managing high-pressure supply chains and complex vendor relationships at Marks & Spencer is critical for scaling theautotriage's infrastructure across the UK's 40,000+ independent garages. He leads the RSIME routing engine optimization, garage network partnerships, and the development of the platform's business-to-business commercial strategy.

Directing customer acquisition via Account-Based Marketing (ABM) and ensuring FCA Consumer Duty compliance for financial transparency, Rohit manages relationships with the Independent Garage Association (IGA), motor insurers, and fleet operators building the institutional distribution network that transforms theautotriage from a product into a national automotive trust layer.

The Platform

Every Layer of theautotriage's Pre-Diagnostic Intelligence Stack

theautotriage is a cloud-native B2B SaaS and API licensing platform built on a modular AI architecture Edge AI smartphone inference, FastAPI diagnostic workflow backend, DVSA MOT History API integration, and UK GDPR-compliant cloud infrastructure designed to serve independent garages, motor insurers, fleet operators, and private motorists without requiring specialized hardware or technical expertise.

<2sec
Triage latency · Edge AI inference
90%+
Classification accuracy · powertrain & brake faults
35%
Diagnostic intake reduction target
TRL 7
Current tech readiness · validated prototype
🎙️ 📷 TECHNICIAN-READY CASE FILE
Module 01

Multimodal Signal Ingestion

Capture engine audio clips (WAV/MP3), dashboard warning-light photographs, high-resolution fault imagery, and plain-language symptom narratives via the theautotriage smartphone interface no OBD dongle, no proprietary sensor hardware, no mechanical literacy required from the vehicle owner.

Edge AI performs localized preprocessing on-device, ensuring sensitive vehicle data never leaves the user's smartphone until encrypted transmission to the PBUCE inference backend. Automated media quality checks prompt re-capture if audio SNR is insufficient or image resolution fails CNN minimum thresholds preventing low-quality inputs from degrading classification accuracy downstream.
ROD KNOCK Confidence: 82% SENSOR FAULT Confidence: 14%
Module 02

PBUCE FFT Acoustic Analysis

Fast Fourier Transform spectral decomposition identifies fault-specific frequency signatures in engine audio with millisecond precision distinguishing between a loose heat shield (benign rattling harmonics), rod knock (catastrophic low-frequency impact signature), and bearing wear (progressive high-frequency sweep pattern) before the vehicle ever reaches a workshop bay.

The PBUCE operates on a probabilistic inference model trained on thousands of verified UK vehicle powertrain failure events, producing a confidence-weighted distribution across fault classes rather than a single deterministic diagnosis. This "uncertainty compression" gives motorists actionable cost banding and urgency scoring while providing technicians with a structured, frequency-annotated acoustic profile that replaces the ambiguous verbal description reducing diagnostic intake time by a targeted 35%.
⚠️ CHECK ENGINE WARPED DISCS: 78% CALIPER FAULT: 18% SENSOR ERR: 4%
Module 03

CNN Visual Fault Classifier

Convolutional Neural Network image processing analyzes dashboard warning light photographs, engine bay imagery, and visual fault evidence to identify fault signatures, severity indicators, and urgency classifications providing the visual intelligence layer that complements the PBUCE acoustic analysis in a fully multimodal triage assessment.

The CNN model is trained on a curated dataset of verified UK vehicle fault imagery spanning powertrain warning lights, fluid contamination patterns, structural damage signatures, and EV battery health indicators. Combined with natural language processing of driver symptom descriptions via the MCWTL semantic transformation layer, the integrated multimodal output produces a single, unified "Technician-Ready" case file standardizing the quality of pre-booking information arriving at the workshop and eliminating the diagnostic intake inefficiency that costs the UK garage sector millions of hours annually.
IMI EV LEVEL 4 CERTIFIED ✓ ADAS CALIBRATION TECHSAFE ✓ GENERAL VERIFIED ✓ HIGH-VOLTAGE BATTERY FAULT → ROUTED TO: IMI EV L4 WORKSHOP ONLY
Module 04

RSIME Suitability Routing Intelligence

Cross-references each inferred fault class against a live registry of workshop certifications, equipment inventories, and IMI TechSafe accreditation levels routing high-voltage battery, ADAS calibration, and composite structural repairs exclusively to the verified specialist facilities equipped to legally and technically complete that specific repair class.

RSIME directly addresses the UK's most critical systemic failure: vehicles booked into generalist garages that lack the legal authorization or specialist tooling to complete EV or ADAS repairs resulting in extended downtime, wasted diagnostic labor, and insurer-forced write-offs that cost the UK economy hundreds of millions annually. By routing based on technical suitability rather than proximity or price, RSIME protects both motorists and garages from the diagnostic bottleneck and enables the UK's independent garage sector to capitalize on the EV transition rather than being bypassed by it.
RORLE LEARNING 📊 🔧 📋 🔄
Module 05

RORLE Closed-Loop Learning Engine

Every completed repair generates a "feedback event" the RORLE reconciles theautotriage's initial triage prediction against the verified workshop invoice (actual parts replaced, labor hours, final diagnosis), continuously refining classification accuracy and cost prediction models with outcome-linked ground truth data from the UK vehicle parc.

This closed-loop architecture creates a proprietary "data moat" of verified UK vehicle failure modes a dataset that grows in precision and coverage with every repair event processed through the platform. Unlike generalist AI tools trained on publicly available data, the RORLE's training corpus consists exclusively of outcome-verified automotive cases from the UK market, creating classification intelligence that is technically impossible for competitors to replicate without the same institutional garage partnerships and outcome-tracking infrastructure. By Year 3, the target dataset exceeds 500,000 verified failure mode events establishing theautotriage as the definitive UK automotive intelligence layer.
DVSA MOT API INTEGRATED ✓ UK GDPR PRIVACY-BY-DESIGN FCA DUTY COMPLIANT ✓ 🛡️ COMPLIANCE & TRUST LAYER
Module 06

Compliance & Trust Infrastructure

Direct integration with the official DVSA MOT History API enriches each triage case with the vehicle's verified roadworthiness record and historical failure data. "Privacy-by-Design" Edge AI architecture ensures sensitive vehicle and user data is processed locally before encrypted transmission achieving full UK GDPR compliance and FCA Consumer Duty standards for financial transparency.

Confidence-Based Cost Banding provides motorists with transparent, range-based repair cost estimates derived from verified UK garage pricing data eliminating "sticker shock" and empowering the 76% of drivers who struggle with unexpected repair bills to make informed financial decisions before committing to a garage booking. UKCA software marking compliance and ISO/IEC 27001 data security standards provide institutional stakeholders (motor insurers, fleet operators, NHS fleet managers) with the audit-ready compliance documentation required for enterprise adoption and regulatory alignment with the UK's 2035 ZEV mandate framework.
Market Analysis

A £100B Market. 41.9M Road Users. Zero Direct Pre-Diagnostic Competition.

The UK automotive aftercare sector presents a structurally urgent market opportunity for theautotriage. With 41.9 million licensed road users, 40,000+ independent garages, a record 24.7% repair cost surge, and a 23,000-technician vacancy crisis all coinciding with the government's 2035 ZEV mandate forcing rapid EV adoption the demand for pre-diagnostic intelligence has never been greater, and no existing platform addresses it.

£288M+
Identified institutional TAM across independent garages, motor insurers, and fleet operators pre-revenue pipeline confirmed through Oxford Regional Pilot engagement
theautotriage Market Validation 2025
£11.7bn
Annual UK motor insurance claims payout driven by unnecessary write-offs that pre-diagnostic intelligence prevents through early certainty-of-repair assessment
ABI Motor Insurance Data 2024
40,000+
Independent UK garages the primary institutional customer base, serving the 70% of UK drivers who prefer independent workshops over franchised dealerships
IMI / IGA Industry Census 2024
UK Repair Cost Surge by Vehicle Type
Average repair cost increase 2023–2024 by category (%)
Root Causes of Diagnostic Failure
Primary drivers of wasted garage intake and write-offs
Competitive Positioning UK Automotive Pre-Diagnostic Landscape
theautotriage vs. existing platform categories across key capability dimensions
UK Automotive AI & Aftercare Market Growth
Market expansion trajectory aftercare AI investment (£ Billion)
theautotriage vs Competitors Capability Score
Feature coverage comparison across pre-diagnostic intelligence dimensions
Pricing Plans

Enterprise-Grade Pre-Diagnostic Intelligence at Accessible Pricing

Three subscription tiers designed for independent garages, motor insurers, and fleet operators at every scale. All plans include the full theautotriage triage intelligence stack multimodal signal capture, PBUCE fault classification, RSIME suitability routing, and RORLE closed-loop learning. No hardware required. No specialist IT infrastructure needed.

Garage Starter

Independent

For independent garages and sole-trader mechanics seeking structured pre-booking intelligence to reduce diagnostic intake waste and improve booking quality.

£89
/ MONTH · BILLED MONTHLY
  • ✓ Multimodal triage case creation
  • ✓ Audio FFT & visual CNN analysis
  • ✓ Technician-Ready case file output
  • ✓ Basic RSIME routing recommendations
  • ✓ DVSA MOT history enrichment
  • ✓ Consumer cost banding output
  • ✓ Up to 3 workshop users
Growth Plan

Professional

For established garages and regional networks requiring full RORLE learning integration, advanced EV/ADAS routing, and fleet operator API connectivity.

£249
/ MONTH · BILLED MONTHLY
  • ✓ Full PBUCE uncertainty compression
  • ✓ Advanced RSIME EV/ADAS routing
  • ✓ RORLE closed-loop learning access
  • ✓ Real-time outcome reconciliation
  • ✓ IMI TechSafe certification registry
  • ✓ Fleet booking API integration
  • ✓ Up to 15 users & multi-bay dashboard
Enterprise

Institutional

For motor insurers, fleet operators, and national garage groups integrating theautotriage as an API-first pre-diagnostic infrastructure layer across portfolios.

£699
/ MONTH · CUSTOM API PRICING
  • ✓ Full API & SDK licensing access
  • ✓ Insurance FNOL portal integration
  • ✓ Fleet telematics data connectors
  • ✓ White-label triage case output
  • ✓ Advanced analytics & claims dashboard
  • ✓ Dedicated onboarding & SLA support
  • ✓ Unlimited users & SSO enterprise auth
FAQ

Common Questions

Does theautotriage require any specialist hardware or OBD devices?

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No. theautotriage is designed to operate entirely through a standard smartphone no OBD-II dongles, proprietary sensors, or specialized diagnostic equipment required. The platform's Edge AI architecture performs acoustic signal processing (FFT) and visual fault classification (CNN) using the device's built-in microphone and camera. This hardware-free approach is a core design principle: any UK motorist with a modern smartphone can generate a Technician-Ready case file without mechanical literacy or additional expenditure.

How is theautotriage different from FixMyCar, Carly, or traditional OBD tools?

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FixMyCar and BookMyGarage are transactional booking platforms they list garages by price and proximity but have no diagnostic intelligence for ambiguous or intermittent faults. Carly and FIXD provide raw OBD-II data but require proprietary hardware dongles and significant mechanical literacy to interpret. theautotriage operates in a fundamentally different category: it is a pre-diagnostic intelligence layer that processes unstructured consumer evidence (audio, imagery, descriptions) into standardized Technician-Ready case files and routes those cases to certified specialists based on technical suitability rather than proximity. We are the operating system for the pre-booking diagnostic workflow that existing tools entirely ignore.

How does theautotriage handle EV and ADAS vehicle faults?

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EV and ADAS fault handling is a core design priority. When the PBUCE or CNN classifier infers a high-voltage battery, electric motor, or ADAS calibration fault class, the RSIME routing engine immediately filters the available garage network to show only IMI TechSafe EV Level 3–4 certified workshops or ADAS-qualified facilities with verified calibration equipment. In a market where only 22% of technicians are EV-qualified and 2% hold ADAS certification, this prevents the costly diagnostic failure of routing complex specialist jobs to generalist garages which currently leads to wasted inspection labor, extended vehicle downtime, and insurer write-offs.

What makes the RORLE learning engine a genuine competitive moat?

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The RORLE's competitive moat is built on outcome-verified data not publicly available training sets. Every repair processed through theautotriage generates a "feedback event" where the initial triage prediction is reconciled against the verified workshop invoice (actual parts replaced, labor hours, final fault diagnosis). Over time, this creates a proprietary dataset of the UK vehicle parc's real-world failure modes that is technically impossible for a generalist AI company to replicate without the same institutional garage partnerships. By Year 3, the RORLE target dataset exceeds 500,000 verified UK vehicle fault events establishing a classification accuracy and cost prediction precision that creates a durable technical moat.

Can I participate in the Oxford Regional Pilot before committing to a subscription?

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Yes theautotriage is currently recruiting 15 partner garages for the structured Oxford Regional Pilot, which provides full platform access, founder-led onboarding support, and direct input into the product roadmap in exchange for outcome data sharing and feedback participation. Independent garages with EV or ADAS capability, motor insurers seeking FNOL pre-assessment intelligence, and fleet operators managing 50+ vehicles are the priority pilot profiles. Contact us to apply for a pilot partnership position and join the foundational institutional network of the UK's automotive pre-diagnostic intelligence layer.
Get In Touch

Join the theautotriage Oxford Regional Pilot

theautotriage is currently recruiting 15 partner garages, motor insurers, and fleet operators for the structured Oxford Regional Pilot a live deployment programme that provides full platform access in exchange for outcome data partnership. Priority profiles: independent garages with EV or ADAS capability, insurers seeking FNOL pre-assessment intelligence, and fleet operators managing 50+ vehicles.

Get in touch to schedule a live platform walkthrough and discuss how theautotriage can transform your diagnostic intake from a reactive, uncertain process into a structured, AI-powered workflow reducing diagnostic labor waste, improving workshop bay utilization, and protecting motorists from repair cost uncertainty at zero additional hardware cost.

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Websitetheautotriage.co.uk
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LocationOxford, United Kingdom
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Data ArchitectureEdge AI · UK Cloud · Privacy by Design
🏛️
Regulatory ComplianceUK GDPR · DVSA API · FCA Consumer Duty · UKCA
🔬
Tech ReadinessTRL 7 · Validated Prototype · Oxford Pilot Active

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