One edge-AI brain for EV safety and efficiency — combining forward-collision ADAS, battery intelligence, and fleet analytics. Built for Indian roads. Ready for the world.
ASTRADRIVE EV◆ADAS + ENERGY INTELLIGENCE◆EDGE AI ECU◆INDIA-FIRST FLEET PLATFORM◆FORWARD COLLISION WARNING◆BATTERY HEALTH AI◆MOTION-ACES PUNE◆TATYA IMEX INDIA PVT LTD◆ASTRADRIVE EV◆ADAS + ENERGY INTELLIGENCE◆EDGE AI ECU◆INDIA-FIRST FLEET PLATFORM◆FORWARD COLLISION WARNING◆BATTERY HEALTH AI◆MOTION-ACES PUNE◆TATYA IMEX INDIA PVT LTD◆
◆ 01 — THE PROBLEM
EV Growth is Outpacing Safety
India's electric fleet operators need safety, battery and driver-behavior intelligence unified in one platform — and today that doesn't exist.
1.7L+
Road fatalities in India in 2023 — safety remains a national priority
2.08M
EV sales in India in 2024 · EV stock reached 5.45M — fast-growing unprotected fleet
Fleet Gap
Operators see events, not root causes. Risk, behavior, battery stress & range loss stay disconnected.
🚗
NO ADAS ON LOW-COST EVs
Low-cost vehicles lack robust ADAS and near-miss analytics. Entry-level fleets are completely blind to collision risk.
🤖
DASHCAMS DON'T UNDERSTAND INDIA
Generic dashcams and telematics do not understand Indian road chaos — 2W/3W unpredictability, mixed traffic, potholes.
🔋
BATTERY & BEHAVIOR DISCONNECTED
Battery health and driving behavior are never analyzed together. Aggressive driving silently degrades range and battery life.
📊
MORE DASHBOARDS, LESS ACTION
Fleet managers need explainable, actionable alerts — not another dashboard full of raw data they can't act on.
◆ 02 — THE SOLUTION
One Edge-AI Brain for EV Safety
A retrofit/OEM-ready module that sees the road, understands battery stress, and improves fleet decisions — in real time, on-vehicle.
TATYA
ASTRADRIVE
EDGE AI ECU
● ONLINE
ASTRADRIVE EV
Edge ECU + Sensor Fusion
+ Cloud Intelligence
🎯
FORWARD COLLISION + PEDESTRIAN RISK
Real-time near-miss detection and collision risk alerts tuned for Indian mixed-traffic roads.
👨✈️
DRIVER BEHAVIOR & HARSH-EVENT SCORING
Continuous driver scoring, harsh-braking alerts, and coaching recommendations per trip.
🔋
BATTERY HEALTH, THERMAL RISK & RANGE
Real-world range prediction, thermal anomaly detection, and degradation signals from BMS fusion.
☁️
FLEET CLOUD APIs FOR OPERATORS & OEMs
OTA updates, fleet dashboards, route risk heatmaps, and maintenance trigger alerts.
OUTCOME: Safer vehicles · Better uptime · Lower energy waste
◆ 03 — ARCHITECTURE
Product Architecture
Sensor fusion at the edge · fleet learning in the cloud. Critical alerts stay on-vehicle; long-term learning happens in cloud.
📷
SENSORS
Camera · Radar · IMU GPS · BMS Interface
INPUT LAYER
▶
🧠
EDGE AI ECU
Perception · Fusion Risk Scoring · Alerts
ON-VEHICLE CORE
▶
⚡
ADAS + ENERGY
Collision Alerts · Driver Coaching Range Model · Thermal Risk
A practical, MOTION-ACES submission-ready plan with clear milestones and measurable KPIs.
WEEKS 0–2
Kit Bring-Up
ECU + sensors + BMS interfaces on lab bench. Hardware validation and sensor driver integration.
WEEKS 3–5
Data Pipeline
Collect driving video, CAN/BMS data and trip metadata from initial fleet vehicles.
WEEKS 6–8
Model Tuning
Indian-road ADAS perception tuning and range prediction model calibration for local conditions.
WEEKS 9–12
Pilot Report
Fleet dashboard, KPI analysis and investor-ready demonstration with OEM technical note.
✓
≥90% useful alert precision target
✓
5–8% range prediction accuracy improvement
✓
20% reduction target in harsh/unsafe events
✓
Fleet dashboard demo + OEM technical note
◆ COMMERCIALIZATION ROADMAP
Q1
PROTOTYPE
Bench + closed-track demo validation
Q2
PILOT
20–50 vehicles, fleet KPI measurement
Q3
PRE-PRODUCTION
Ruggedized kit + certification plan
Q4
LAUNCH
Paid fleet customers + OEM design-in
Milestone: validated demo + first fleet LOI + OEM/Tier-1 technical engagement
◆ 09 — TEAM
Team & Unfair Advantage
Founder-led by deep ADAS expertise; supported by focused execution hires.
NK
Dr. Nellore Karthikeyan
Founder & Director · PhD in ADAS
Core edge: perception, sensor fusion, road-safety algorithms, and validation discipline from advanced driver-assistance research. The technical founder who can turn research into a productized fleet platform.
POSITIONING FOR ACES: PhD-led ADAS → validated Indian EV fleet product in 90 days
DPIIT-recognized deep-tech startup. Registered in Andhra Pradesh. Building intelligent electric automotive systems for the future of smart mobility.
STARTUP INFORMATION
COMPANY
Tatya Imex India Private Limited
CIN
U46909AP2025PTC121663
INCORPORATED
14-Oct-2025
MSME
UDYAM-AP-08-0101950
DPIIT
DIPP228411
PAN / IEC
AAMCT3810G / AAMCT3810G
REGISTERED
Nellore, Andhra Pradesh
TATYA MOBILITY INNOVATIONS
"Building Intelligent Electric Automotive Systems for the Future of Smart Mobility"
To create next-generation electric vehicles that are safer, autonomous-ready, energy efficient, and connected to smart infrastructure.
INDUSTRY 4.0ESDM FOCUSEDDUAL-USE TECHDEEPTECH
FUNDING ROUTE
Incubator-backed validation · Startup India Seed Fund · Pilot-led fundraising · MOTION-ACES CoE
◆ 11 — THE ASK
Let's Make Indian EV Fleets Safer, Smarter, More Efficient
We are looking for MOTION-ACES incubation support to convert a defensible ADAS idea into a validated EV fleet product. Ready to build, test and demonstrate within 90 days.
🔬 LAB ACCESS
ACES labs, test benches, simulation tools, mentor review
🚌 PILOT ACCESS
Pune fleet operators / public mobility partners for validation
💰 FUNDING SUPPORT
Grant / seed funding for prototype kits and field testing