Edge autonomy · Rescue · Survey · Beyond

Engineering autonomous rescue at the edge.

We build AI-driven, structurally optimised UAVs that think on their own — for disaster zones today, and the missions that follow tomorrow. Currently competing in India's ₹65 Lakh NIDAR 2026–27 challenge.

Sponsor the mission See the technology
₹65L NIDAR 2026–27 prize pool
04 Engineered subsystems
100% Student-built IP
Live specimen · generative airframe v2

The airframe, live.

Drag to rotate. Scroll to zoom. Drop your own CAD. The same rendering rig the engineers use on the bench — just with the paper trail stripped out.

Live wireframe · generative airframe v2
Part of the Indian autonomy ecosystem
MeitY Drone Federation of India SwaYaan iDEX ecosystem
01 — Why we build

Autonomy that works when the world doesn't.

We build machines that think on their own in places where nothing else works — collapsed buildings, flooded valleys, dead links, no GPS. NIDAR 2026–27 is where we prove the stack. The missions we're building for go further.

Built for the hardest day

Autonomous area mapping, survivor detection and precision payload delivery in GPS-denied, comms-degraded terrain — where rescue teams can't reach.

Proven on a national stage

NIDAR 2026–27 — backed by MeitY and the Drone Federation of India — puts our airframe in front of the people who fund, regulate and buy Indian drone technology.

Built to go further

The same autonomy stack — perception, planning, control — scales to survey, inspection, search and delivery missions long after NIDAR is over.

02 — Engineering & core technologies

This isn't COTS parts bolted to a frame.

Four engineered subsystems, each with a paper trail — simulations, models and analysis you can audit before you write a cheque.

01 / MISSION PLANNING

Algorithmic mission planning

A custom ground-control GUI driving decentralised trajectory planning simulations. Waypoint allocation, obstacle avoidance and search patterns are validated in simulation before they ever touch hardware.

  • Custom operator GUI with live telemetry and route editing
  • Decentralised trajectory planning simulations
  • Ad-hoc mesh routing (B.A.T.M.A.N. advanced) & MAVLink protocol-level control
MISSION PLANNER · SIM v2.4 RE-ROUTE ● LINK OK ZONE A · SURVIVOR SEARCH HOVER WAYPOINT TO INSPECT · CLICK RE-ROUTE TO SOLVE WAYPOINTS 07 EST. TIME 4m 12s LINK MESH GPS DENIED
02 / EDGE AI VISION

Onboard human detection

A custom-trained detection and target-tracking pipeline running entirely on the aircraft. Quantised for edge compute, tuned for complex terrain and cluttered disaster scenes.

  • Custom YOLO detection pipeline, INT8-quantised for onboard compute
  • Multi-object tracking for continuous survivor lock
  • Validated on rugged, low-contrast terrain footage
EDGE VISION · CAM-01 MODE: RGB ● REC PERSON 0.94 PERSON 0.71 MODEL yolo-int8 THROUGHPUT 42 FPS DETECTIONS 02 RETICLE 190, 188
03 / STRUCTURAL OPTIMISATION

FEA-driven generative airframe

We didn't print the final drone first. A V1 standard 3D-printed testbed was built purely for load validation — its measured behaviour feeds the FEA that drives the final generative design.

  • V1 3D-printed testbed for physical validation (not the final airframe)
  • FEA stress–strain analysis before any generative print
  • Topology optimisation to cut mass without losing structural margin
STRUCTURES · FEA vs V1 ● SOLVED VON MISES · ARM ASSY (SCRUB) MAX 42.6 MPa MESH 18,420 ELEMENTS SAFETY FACTOR 1.8 V1 · 3D-PRINTED TESTBED PURPOSE · LOAD VALIDATION STATUS · VALIDATED → FEA 0 MPa MAX Generative airframe → −31% mass TARGET
04 — Why sponsor us

You're not funding a hobby. You're backing the platform.

Sponsorship is an early-stage investment in the autonomy stack — with a measured, competitive proof point in NIDAR 2026–27 and every mission that follows.

R01

Brand visibility

Logo placement on the aircraft, the Ground Control Station and team apparel during the offline national finals — captured on every broadcast clip, photo and judge walkthrough, and carried into every demo we run after.

R02

Recruitment pipeline

Direct, first-rights access to a multi-disciplinary team already working across ROS, computer vision, flight controllers and aerostructures — with edge-autonomy experience that generalises.

R03

Media & IP validation

Rights to use our test footage, simulation clips and competition results in your own CSR campaigns and technical marketing material — across this campaign and the ones that follow.

05 — The team

Six engineers. Two mentors. One airframe.

A multi-disciplinary unit covering autonomy, vision, structures, flight software, electronics and simulation — backed by academic mentors in applied mathematics and computational aerodynamics. Every sponsor gets direct access.

Academic & technical mentors
Mr. Levi Reuben Mentor

Mr. Levi Reuben

UAV & CFD Specialist

Reviews aerodynamic modelling, rotor-wake interference and CFD validation of the generative airframe before every flight test and looks after overall team execution.

CFDAerodynamicsOpenFOAM
Mentor

Dr. Bazil Wilfred

Professor · Mathematics

Advises on the optimisation mathematics behind the trajectory solver, search-pattern coverage proofs and quantisation error bounds.

OptimisationNumerical MethodsProbability
Arjeesh Christal

Arjeesh Christal

Team Lead · Autonomy

Owns the overall architecture and the decentralised planner.

ROSMAVLinkC++
Asher D

Asher D

Design · Electronics

Builds the hardware from scratch till the maiden flight.

CADMAVSDKTelemetry
Daphne

Daphne

Computer Vision · GCS

Builds the ground-control GUI and the telemetry link.

QtMAVSDKTelemetry
Jathniel

Jathniel

Computer Vision

Trains and quantises the onboard detection and tracking pipeline.

YOLOTensorRTPyTorch
Mayukha DL

Mayukha DL

Aerostructures & FEA

Runs the stress solves and drives the generative airframe design.

ANSYSSolidWorksComposites
Suhassan

Suhassan

Robotics & Autonomy

Owns the power distribution, ESCs and onboard harness.

PCBBMSROS

Direct access to every engineer — no account manager layer.

06 — Sponsorship tiers

Low friction. Clear deliverables.

Cash or in-kind — both offset our burn rate. Every tier funds both the NIDAR 2026–27 campaign and the platform work behind it. Every deliverable is written into the agreement.

Title sponsor
Platinum
₹2,50,000+ Or equivalent in-kind · 1 slot only

Primary naming rights across the entire campaign — the aircraft carries your name.

  • Primary naming rights — "Team [Sponsor]"
  • Dominant logo on the drone canopy
  • Custom branded feature inside the GCS dashboard
  • First rights to recruit from the team
  • Co-branded technical case study
Become title sponsor
Gold
₹1,00,000+ Sub-system sponsor · 2 slots

Own a named subsystem — propulsion, compute, vision or airframe.

  • Prominent logo on drone arms & GCS
  • Dedicated social media features
  • Public breakdown of how your funding optimised flight
  • Logo on team apparel at finals
Discuss Gold tier
Silver
In-kind / ₹40,000+ Component sponsor · open slots

Perfect for hardware donations — motors, ESCs, carbon fibre, compute modules or 3D printing filament.

  • Logo on the GCS and website
  • Component credit in our technical report
  • Inclusion in competition submission media
  • Acknowledgment across our channels
Donate components

Custom packages and partial in-kind contributions are welcome — tell us what you can offer and we'll build a tier around it.

07 — Get in touch

Talk to the engineering lead.

No procurement maze. You'll be speaking directly to the people building the aircraft — ask us anything, we'll send you the simulation footage.

Email sponsors@teamunique.in
LinkedIn /in/team-unique-engineering-lead
Phone +91 00000 00000
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