Night coverage has gaps
A guard holds one post. Perimeters, car parks and warehouse aisles go unwatched for hours, and attention drops sharply between 1am and 4am.
Stratos AI & Robotics · Enugu, Nigeria
Autonomous security for the physical world.
We are building Patroller, an autonomous patrol robot that covers banks, warehouses and gated estates through the night. It maps the site, patrols it on schedule, spots intruders with on-board AI and puts a human operator in control within seconds.
- Stage
- All simulation phases complete. Hardware MVP next
- Raising
- ₦9,000,000 for a 6-month physical MVP
- First market
- Enugu: banks, warehouses, estates
The problem
Facilities across Nigeria are guarded by people asked to do a machine’s job.
Repetitive night patrols over a large site are tiring, hard to verify and expensive to staff. In Enugu State, police reported arresting 130 robbery suspects and 450 suspects for burglary, stealing and related crimes in 2024 alone.[4]
No evidence trail
Many incidents are discovered the next morning, with no footage, no timestamps and no record of which areas were actually patrolled.
Escalation is slow
By the time a site owner, supervisor or the police hear about an intrusion, it is usually over. Alerts depend on a phone call from whoever noticed.
Guarding is expensive
Contract guards at banks, warehouses and estates typically earn ₦45k–₦100k a month,[2] but clients pay guard companies considerably more per guard once supervision, uniforms, insurance and margin are added, often around ₦150k. A 24/7 post needs two to three guards.
We don’t replace guards. We multiply their effectiveness.
24/7 without fatigueThe same patrol quality at 3am as at 9pm, every night.
Faster detection, faster responseIntruders are flagged in seconds, with live video for whoever responds.
Lower cost per covered areaOne robot patrols ground that would otherwise need several guard posts.
Better than static CCTVCameras that move to the problem, light it up and talk to it.
Patroller takes over the repetitive, verifiable part of the job so a smaller human team can focus on responding. A robot also has costs of its own (hardware, charging, connectivity and maintenance), and our model accounts for them below.
Our solution
Meet Patroller.
A ground robot that patrols a site on its own all night, sees in the dark, tells a person from a shadow and escalates to a human the moment it matters.
What the funded MVP will do
Autonomous patrol
Follows predefined routes around a controlled site using a SLAM map and Nav2, night after night.
Obstacle avoidance
LiDAR + ultrasonic fusion keeps the robot clear of people, vehicles and new obstacles.
Person detection alerts
On-board YOLO detects people after hours and pushes an alert with a snapshot to the operator.
Live video to operator
Low-latency stream from the mast camera, including IR night vision, over Wi-Fi with 4G fallback.
Telemetry dashboard
Live robot position on the site map, battery, health and an alert log for every patrol.
Manual teleop override
An authorised operator can take control, drive the robot and speak through it at any time.
Autonomous docking
Returns to its charging station on low battery and resumes the patrol schedule.
Offline alert
If the robot suddenly goes silent (power cut, jammed signal, damage), the backend alerts the operator with its last location and final video.
After the MVP
Thermal imaging, facial recognition, behaviour detection, a waterproof IP65-target enclosure, 12h+ battery and full anti-theft. See the production vision →
- 1PTZ camera head1080p RGB + infrared night vision for detection and live video
- 2360° 2D LiDARMapping, localisation and obstacle detection
- 3Mast light ringVisible deterrent and robot-state indicator
- 4Ultrasonic arrayClose-range obstacle safety in the drive direction
- 5Compute bayNVIDIA Jetson Orin Nano runs ROS 2 and YOLO on board
- 64WD driveGeared DC motors with wheel encoders for odometry
- 7Battery bayLi-ion pack with BMS, targeting dusk-to-dawn operation
- 8Docking contactsAutonomous return to the charging station
- 94G LTE + Wi-FiAlerts and live video, with cellular fallback
Proposed configuration. Final component selection depends on supplier quotes, power budget and MVP test results.
Product specification card
- Product category
- Autonomous mobile security robot
- Initial market
- Banks, warehouses & gated estates: Enugu, South-East Nigeria
- Operating model
- Robotics-as-a-Service (monthly subscription)
- Target operating period
- ~12 hours dusk-to-dawn (production target); MVP trials measure real endurance
- Deterrence
- Spotlight, siren and spoken warning
- Development stage
- All simulation phases complete: patrol, detection, decision engine and a prototype alert dashboard. Physical MVP is next.
How it works
Patrol, perceive, decide, respond.
The same loop runs every few seconds on board the robot. Only alerts, telemetry and requested video leave the robot, which keeps bandwidth and data exposure low.
- 01
Patrol
Follows scheduled routes on a SLAM map of the site, avoiding obstacles with LiDAR and ultrasonics.
- 02
Perceive
YOLO runs on the robot to detect people (and later vehicles) in RGB and infrared video.
- 03
Decide
A decision engine applies site rules, e.g. a person detected in a restricted zone after hours.
- 04
Respond
Deters on the spot, alerts the operator with a snapshot and opens live video and control.
decision_engine · MVP rule
# runs on every detection frame
if person_detected and outside_authorised_hours(site):
trigger_alert(snapshot, location, confidence)
deter() # spotlight + siren + voice warning
track_target() # keep the person in frame
open_live_stream(operator)Intrusion handling
Autonomous response
- Turns toward and tracks the person
- Spotlight and siren
- Spoken warning: “You are being recorded. Security has been notified.”
Human in the loop
- Alert to the guard and property owner
- Live video stream to the dashboard
- Manual drive and talk-through
Escalation
- Phone call and SMS escalation
- Optional notification of local security services
- Full incident log with footage
Development roadmap
Concept → Simulation → MVP → Production.
Each stage retires a different risk. The concept shows the idea is coherent, the simulation that the software works, the MVP that the hardware works in the real world, and a pilot that customers will pay. Here is exactly where we are.
- Stage 1Complete
Product concept
Use cases, system architecture, MVP specification and design concept defined.
DeliverableProduct concept & engineering requirements
- Stage 2Complete
Simulation
Full robot in Webots + ROS 2: SLAM, Nav2 patrol, YOLO person detection, security decision engine and a prototype alert dashboard all working.
DeliverableCore robot software proven in simulation
- Stage 3Next · this raise · ₦9,000,000
Physical MVP
One working Patroller and charging dock, proven in 6 months at a controlled Enugu site.
DeliverableRepeatable night patrols with live alerts & video
- Stage 4Proposed vision
Production
Waterproof (IP65 target), fire-resistant enclosure, solar-assisted charging, 12h+ battery, thermal imaging, anti-theft.
DeliverableDeployable fleet for paying RaaS customers
Simulation progress
10/10- Webots world at realistic scale (office, mast camera) (done)
- Differential drive, wheel odometry & IMU (done)
- 2D LiDAR integration (done)
- SLAM mapping of the site (done)
- Nav2 autonomous navigation (done)
- Looping multi-waypoint patrol (done)
- Mast camera stream (done)
- YOLO person detection (done)
- Security decision engine (time rules, escalation) (done)
- Prototype alert service & dashboard (FastAPI, local) (done)
- Physical hardware (not yet)
Planned for the production robot · not part of the MVP
Production vision: Africa’s intelligent security infrastructure.
What Patroller becomes after the MVP proves the core. Premium marks features reserved for the Premium and Enterprise tiers.
Durability
- Waterproof enclosure, targeting an IP65 rating (protected against dust and rain), built for Nigeria’s rainy season
- Fire-resistant, flame-retardant enclosure materials
- Active cooling for Nigerian heat and 12-hour runs
Endurance
- 12h+ battery (LiFePO4) for full dusk-to-dawn patrols
- Solar-assisted charging: on the dock (Standard), on the robot (Premium & Enterprise)
Intelligence
- Thermal imagingPremium
- Facial recognition for authorised staff (FaceNet / InsightFace)Premium
- Behaviour detection: loitering, running, fence-climbing (autoencoder anomaly models)
- Vehicle detection
Anti-theft
- GPS tracking
- Tamper detection: alerts if the robot is lifted, tilted, pushed off its route or has its casing opened
- Loud siren + flashing lights on tamper
- Remote shutdown via backend
- Fail-safe alerting: events and footage stream to the cloud as they happen, so evidence survives even if the robot is destroyed
Platform
- Microphone and two-way voice
- Multi-robot fleet management
- AI analytics dashboard
Long-term
Smart-city integrations: patrol data and alerts feeding estate, campus and city security systems, so robots, cameras and responders work as one network.
Inside the technology
Software-first robotics, with the hard parts already running in simulation.
Patroller is built on open, production-grade robotics tooling. Everything on the robot runs locally on a Jetson, so detection still works when the network doesn't.
Four tightly coupled subsystems
01Built (sim)
Perception
Sees and understands the scene.
- RGB + IR cameras
- YOLO person detection
- Thermal & facial recognition (Premium)
02Built (sim)
Localization & navigation
Knows where it is and where to go.
- 2D LiDAR + SLAM
- Wheel odometry + IMU
- Nav2 patrol routes
03MVP
Control
Moves the robot safely.
- Motor control with encoders
- Ultrasonic safety stop
- Docking & teleop
04MVP
Backend & monitoring
Keeps humans in the loop.
- Prototype: FastAPI alert service (built)
- Django + DRF API, Flutter dashboard
- Push, SMS, call & offline alerts
Target architecture (MVP)
Sensors
1080p RGB camera
IR night camera
2D LiDAR
Ultrasonics
Encoders + IMU
On robot · Jetson · ROS 2
camera_nodeRGB + IR streamsdetection_nodeYOLO inferenceslam + nav2map, localise, plandecision_enginesite rulesmotor_control_nodedrive commandsalert_nodenotify backend Cloud
Django + DRF API
/alerts /robot-status
/video-stream /logs
People /video-stream /logs
Operator dashboard
SMS · push · call
| System | Technology | Status |
|---|---|---|
| Simulation | Webots | Built |
| Robotics middleware | ROS 2 Jazzy on Ubuntu | Built (sim) |
| Mapping & localisation | LiDAR SLAM + wheel odometry / IMU | Built (sim) |
| Navigation | Nav2 with multi-waypoint patrol loop | Built (sim) |
| Person detection | YOLOv8 / YOLO11 (Ultralytics) | Built (sim) |
| Vehicle detection | YOLO, additional classes | Next |
| Facial recognition | FaceNet / InsightFace: authorised vs unknown | Premium |
| Behaviour detection | Autoencoder anomaly models: loitering, running, fence-climbing | Production |
| Decision engine | Rule-based site policies: time rules, escalation → anomaly models later | Built (sim) |
| Prototype alert service | FastAPI service + simple dashboard, running locally | Built (sim) |
| Backend | Django + Django REST Framework | MVP |
| Operator dashboard | Flutter app: live map, video, alerts, teleop | MVP |
| Notifications | Push + SMS, phone-call escalation, offline alerts | MVP |
| On-board compute | NVIDIA Jetson Orin Nano | MVP |
| Physical platform | 4WD chassis, encoders, Li-ion + BMS, 4G/Wi-Fi | MVP |
Our real moat isn’t hardware
Motors and sensors can be bought. What compounds is data: security footage and patrol patterns from Nigerian sites, used to train detection models that work in local lighting, layouts and conditions, plus the operational know-how to keep a fleet reliable.
Engineering pipeline
- Simulation
- Software integration
- Physical prototype
- Controlled testing
- Pilot deployment
- Production engineering
Why we win
Execution, localisation and cost-efficiency.
Built for African environments
Models to be trained on Nigerian sites, lighting and layouts. Hardware sized for local heat, rain, dust and power cuts.
Cost-optimised hardware
Affordable sensors and compute, with AI models tuned to run on them, priced for Nigerian budgets.
Strong backend & alerting
Backend engineering is our home turf: real-time alerts by push, SMS and phone call, escalation chains and offline detection, developed in-house.
Practical deployment
Focused on robots that patrol real sites every night, not on research demos.
Business model
Robotics-as-a-Service, in three tiers.
Customers don’t buy a robot. They subscribe to patrolled, recorded, alert-ready coverage. Stratos owns, maintains and upgrades the hardware, so customers avoid a large upfront purchase and we earn recurring revenue.
₦180,000/robot/month
+ ₦300,000 one-off setup
For: Gated estates and warehouses (schools and offices next)
- Autonomous patrol, person detection, live RGB + IR video
- Dashboard for 1–2 users
- Push + SMS alerts, self-monitored
- Solar-assisted charging on the dock
About what a client pays for one night-shift guard, plus 24/7 recording, verified coverage and instant alerts.
₦300,000/robot/month
+ ₦500,000 one-off setup
For: Banks and high-end facilities
- Everything in Standard
- Thermal imaging + facial recognition for authorised staff
- Multi-user access with roles (e.g. security head, branch manager, supervisor)
- Priority alerts: escalation chain with automatic phone calls
- Solar-assisted charging on the robot
About what a bank pays for two night-shift guards, plus thermal imaging, facial recognition and priority alerts.
from ₦500,000/robot/month
+ ₦750,000 one-off setup
For: Multi-site banks, corporates and industrial sites
- Premium hardware and software
- 24/7 remote monitoring by Stratos operators, who verify every alert
- Analytics reports
- SLA guarantees on uptime and response time
- Multi-site management
From ₦500k (₦400k–₦800k+ by site size). Stratos operators do the watching.
A cost optimisation, not a new expense. At roughly ₦150k per guard, a site with two to seven guards already spends an estimated ₦300k–₦1M a month on guarding. Standard works out at about ₦500 per patrol hour at 12 hours a night. A leading US security-robot maker quotes about $0.75 to $9 per hour.[5]
Pricing is a working assumption, to be validated with pilot customers.
Getting Standard under ₦5M
Built one at a time from Western retail parts, a Standard Patroller would cost about ₦6.4M and a Premium about ₦7.2M (breakdown below). Buying direct from manufacturers brings Standard to about ₦4.5M and Premium to about ₦5.0M today. Buying for 20+ robots at once targets ₦3.5M and ₦4.0M.
01Buy in bulkOrder parts for 20+ robots at once for volume pricing on compute, LiDAR, motors and batteries.
02Source directBuy from manufacturers rather than Western retailers, often 30–50% cheaper.
03Consolidate shippingOne consignment and one customs clearance per batch instead of many small imports.
04Fabricate locallyFrame, enclosure and mast built in Nigeria instead of imported.
05Own carrier boardJetson module on our own carrier board instead of retail developer kits.
06Right-size the robotNo thermal on Standard, and solar on the dock rather than on every robot.
Production robot unit cost breakdown (single unit, retail prices)
| Part | Choice | USD | Landed ₦ | Std | Prem |
|---|---|---|---|---|---|
| Compute | Jetson Orin Nano 8GB + carrier board | $450 | ₦840k | ✓ | ✓ |
| LiDAR | RPLIDAR S2, IP65, 30 m range | $400 | ₦746k | ✓ | ✓ |
| Day/night camera | Outdoor PTZ with IR, IP66 | $200 | ₦373k | ✓ | ✓ |
| Thermal camera | FLIR Lepton 3.5 module | $400 | ₦746k | — | ✓ |
| Ultrasonics, IMU, GPS | Waterproof ultrasonics ×4, IMU, GPS | $100 | ₦187k | ✓ | ✓ |
| 4G LTE | Industrial LTE module + antennas | $80 | ₦149k | ✓ | ✓ |
| Drive | 24V hub-motor wheels + BLDC drivers | $420 | ₦784k | ✓ | ✓ |
| Battery | 24V 100Ah LiFePO4 + BMS (12h+) | $500 | ₦933k | ✓ | ✓ |
| Power electronics | DC-DC, wiring, fuses, e-stop | $120 | ₦224k | ✓ | ✓ |
| Solar | 100W panel + MPPT (dock on Standard, robot on Premium) | $150 | ₦280k | ✓ | ✓ |
| Dock & charger | Charging dock and contacts | $200 | ₦373k | ✓ | ✓ |
| Deterrence & anti-theft | Spotlight, siren, speaker, mic, tamper sensor, cooling | $120 | ₦224k | ✓ | ✓ |
| Frame & enclosure | Waterproof, fire-resistant, locally fabricated | local | ₦1.0M | ✓ | ✓ |
| Assembly & testing | Per robot | local | ₦300k | ✓ | ✓ |
| Standard total | ₦6.4M | ||||
| Premium / Enterprise total | ₦7.2M | ||||
USD prices converted at ~₦1,333/$ and landed in Nigeria at about +40% for freight, import duty (~20%, by HS code), surcharges, CISS, ETLS and 7.5% VAT. Several items are estimates pending supplier quotes. Sources: CNX Software: NVIDIA raises Jetson prices (Jul 2026) · RobotShop: RPLIDAR S2 · Core Electronics: FLIR Lepton 3.5 · TechEconomy: naira rate, 21 Oct 2026 · DHL: calculating import duties in Nigeria
How we’ll sell
Pilots first
Paid pilots at 1–3 sites, measured on incidents and visibility before and after Patroller.
Direct outreach
Facility managers, bank security heads and estate executives in Enugu.
Guard-company partners
Guard companies already hold the client relationships. They can bundle or resell Patroller instead of competing with it.
- EnuguMVP trials & first pilots: banks, warehouses, estates
- South-EastAnambra, Imo, Abia, Ebonyi · adding schools & offices
- Lagos & AbujaEnterprise multi-site contracts
Market opportunity
Nigeria already spends heavily on security, mostly on people.
Security spending is recurring and non-negotiable. It is one of Nigeria’s largest employers, and demand for electronic security equipment is growing fast. Robots sit between the two: labour-saving like CCTV, but mobile and responsive like a guard.
1,100+
licensed private guard companies in Nigeria[1]
1M+
corporate guards employed by licensed firms, plus ~2M unlicensed[1]
₦45k–₦100k
typical monthly pay for contract guards at banks, warehouses and estates[2]
2×
growth in Nigeria’s safety & security equipment imports, 2022 → 2024 (est.)[3]
What we still need to prove: how many banks, warehouses and estates in Enugu will pay a monthly fee for robotic patrol, and at what price. Collecting letters of interest from pilot partners is part of the MVP plan. If you manage a facility, tell us about your site visit our customer website, or download the customer deck (PDF).
Sources (6)
- BusinessDay: “One big security industry: Nigeria’s untapped economic powerhouse” (Oct 2025)
- Profolio.ng: Security Officer Salary Guide, Nigeria (Sep 2026)
- U.S. International Trade Administration: Nigeria Country Commercial Guide, Safety & Security (2025)
- Gazette NGR: Enugu police arrest 230 robbery and kidnap suspects in 2024 (Jan 2025)
- Knightscope: Machine-as-a-Service subscription pricing
- Nairametrics: 364-day T-bill stop rate falls to 15.85% (7 Oct 2026)
Five-year financial model
Does Patroller beat treasury bills? Test it yourself.
The tier presets model a single batch of 20 robots bought at the start of year one, ₦10M overhead every year, and the bulk-target robot cost. The benchmark is Nigeria’s 364-day treasury bill, about 16% a year.[6] Every assumption can be changed. This is an illustrative model, not a forecast.
Robots start earning
Fixed: robots last 5 years. Robots still working after year 5 count at their remaining book value.
Upfront capital needed
Investors repaid bywhen cumulative cash turns positive
Annual return
Year-5 revenue
Versus treasury bills
Revenue vs EBITDA
- Revenue
- EBITDA
| ₦ | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 |
|---|
What the terms mean
- Robot capex
- Capital expenditure: cash spent building robots. Real money out, mostly upfront.
- Depreciation
- Each robot’s cost spread evenly over its 5-year life (20% a year). An accounting charge, not cash leaving the business.
- EBITDA
- Earnings before interest, taxes, depreciation and amortisation: revenue minus running costs and overhead. Do day-to-day operations make money?
- Operating profit
- EBITDA minus depreciation: profit after charging each year a fair share of the robots’ cost.
- Cumulative cash
- Running total of real cash in minus cash out. Its lowest point is the most money investors must put in.
- Annual return
- The yearly rate the investment earns (IRR). If it is above the treasury-bill rate, the robots beat T-bills.
Revenue isn’t profit
20 Standard robots bring in ₦43.2M a year in subscriptions. From that we pay connectivity, maintenance, the team and the robots themselves. The table shows each layer.
Why ₦150k wasn’t enough
Our original plan (₦150k a month, ₦5M robots, no setup fee) returns less than treasury bills. Setup fees, tier pricing and bulk buying are what clear the bar. Try the “Original ₦150k plan” tab.
Fleet capital comes later
The ₦9M raise funds the MVP only. Fleets are funded later by investors, equipment financing and customer prepayments. Pilots will replace these assumptions with real numbers.
MVP funding opportunity
₦9,000,000 turns a working simulation into a working robot.
We are raising ₦9,000,000 to build and prove one Patroller and its charging dock in 6 months. The full amount is needed upfront so components can be ordered together and the build runs without stop-start delays.
How much
₦9,000,000
Single pre-seed raise, committed in full before the build starts.
How long
6 months
From component order to live demo at a controlled Enugu site.
What you get
Open to discussing terms
Equity, a convertible instrument or a strategic partnership, structured with legal advice.
Where the money goes
| Category | Estimate | Share |
|---|---|---|
| Compute & sensorsJetson Orin Nano, 2D LiDAR, 1080p RGB + IR night camera, ultrasonic array, IMU, GPS | ₦2,100,000 | 23% |
| Drive train & chassis4WD chassis, geared DC motors with encoders, motor drivers, weatherised enclosure, camera mast | ₦1,400,000 | 16% |
| Docking & charging stationAuto-dock contacts, charger, alignment markers, station enclosure | ₦500,000 | 6% |
| Power & connectivityLi-ion pack + BMS, regulators, 4G LTE module, Wi-Fi, speaker & siren | ₦500,000 | 6% |
| Contract engineeringMechanical & electrical specialists for fabrication, wiring and safety review | ₦800,000 | 9% |
| Cloud, dashboard & alerts6 months hosting, SMS gateway, push notifications, storage for footage | ₦450,000 | 5% |
| Field testing & pilot setupControlled-site trials in Enugu, transport, site mapping, demo days | ₦500,000 | 6% |
| Import, shipping & customsFreight and duties on components not available locally | ₦325,000 | 4% |
| Legal, IP & complianceInvestor agreements, NDPA data-protection review, trademark | ₦350,000 | 4% |
| Line-item subtotal | ₦6,925,000 | 77% |
| Contingency (~30%)Estimates are pre-quotation. We expect real supplier quotes to run up to ~30% above them, so this buffer is built in. | ₦2,075,000 | 23% |
| Total | ₦9,000,000 | 100% |
Software (ROS 2 stack, AI models, backend and dashboard) is developed by the founder and is not billed to this budget.
What the MVP will prove
- Completes scheduled patrol routes autonomously at a controlled site, night after night
- Detects a person after hours and alerts the operator’s phone with a snapshot in seconds
- Streams live RGB/IR video to the dashboard; operator can take manual control
- Avoids static and moving obstacles safely during patrol
- Returns to its dock and recharges without human help
- Raises an offline alert with last location and final video if the robot suddenly goes silent
- Measured results (uptime, alert latency, false alarms) published to investors
6-month plan
- Month 1Procure & designFinalise BOM against real quotes, order components, mechanical design of chassis and mast.
- Month 2Assemble & bring-upChassis fabrication, wiring, power system, motor control with encoders, sensor bring-up on Jetson.
- Month 3Port the stackMove the simulated ROS 2 stack to hardware: odometry, LiDAR SLAM, Nav2 patrol on a real site map.
- Month 4Perceive & alertYOLO on Jetson with the IR camera, decision engine on the real robot, production Django + DRF backend with SMS, push and offline alerts.
- Month 5Dock & controlAutonomous docking and charging, Flutter operator dashboard with teleop override, reliability fixes.
- Month 6Prove itRepeated night patrols at a controlled Enugu site, measured results, live investor and pilot demo.
After the MVP
Pilot → seed round → fleet.
With a proven robot we sign paid pilots with Enugu banks, warehouses and estates, then raise a seed round and equipment financing to build the first fleet of ~20 robots. Early backers are first in line for that round.
Discuss investing Download investor deck (PDF) Stratos AI & Robotics Ltd · RC 9624282 · CAC-registered
Founder
Chinonso Nwankwo
Founder · Stratos AI & Robotics
Computer Science at Enugu State University of Science and Technology (ESUT), with a background in machine learning. I build ML systems from first principles and have taken Patroller from a blank page through every simulation phase: it maps, patrols, detects intruders, decides when to escalate and raises alerts on a prototype dashboard.
I am building Stratos to bridge the gap in Nigeria’s security sector, between what facilities need (constant, verifiable coverage) and what manual guarding can realistically deliver at night. My approach is software-first: prove the intelligence in simulation, then spend money on hardware only once the software works.
Building the team
I’m looking for engineers who want to put real robots on Nigerian streets:
- Mechanical engineer (chassis & enclosure)
- Electrical / embedded engineer (power, motor control)
- Potential technical co-founder (hardware)
Contact & partnerships
Let’s talk.
Whether you want to back the MVP, help build it or host a pilot, tell us a little about yourself and we’ll reply within two working days.
- Reactive → Proactive
- Manual → Intelligent
- Static → Autonomous
- InvestorsDiscuss the ₦9M raise, terms and the deck.
- EngineersMechanical, electrical, embedded and robotics collaborators.
- Pilot partnersBanks, warehouses and estates in Enugu and the South-East. Customer website · Customer deck (PDF)
Prefer email? nwankwofrank191@gmail.com · Phone / WhatsApp: 0810 723 6175