About Us

WHO WE ARE

Founded by IISc Bangalore Alumni

Born from the excellence of IISc Bangalore, our team brings together aerospace engineers, AI innovators, industry leaders from Dell and TCS, doctoral researchers, strategic thinkers, UPSC achievers, and experienced industrialists — united by one belief: the future of aerospace must be built smarter, faster, and with purpose.

We combine deep engineering, intelligent systems, and real-world execution to solve complex aerospace and global trade challenges with precision and trust.

Because in aerospace, technology alone is not enough. Vision, reliability, and the people behind it are what truly move the future forward.

“Where IISc rigour meets aerospace ambition — precision is not a goal, it is our foundation.”

              Team Disciplines
            

✈ Aerospace Engineering⚡ Electronics & ECE⬢ Computational Science★ UPSC Civil Services

IISc Main Building — Est. 1909

Campus Pathway

Aerospace Dept.

              Indian Institute of Science, Bangalore — No.1 Research
              University, India
            

◈ Human Intelligence · Neural Cluster 01

The Minds Behind the Machine

A convergence of IISc research pedigree, global industry execution, and deep domain expertise — each node in this network drives aerospace-grade outcomes.

LAYER_01 · Founding Leadership

Founder & Chief Aerospace Architect

Mr. Rayan

ME(AE) · IISc Bangalore

ACTIVE

The visionary behind Machworks — an IISc-trained aerospace engineer with mastery across the full aerospace design spectrum. His research-driven approach has become the cornerstone of Machworks' capability in solving complex certification challenges, from structural airworthiness to DO-178C/254 compliance pathways.

Full-Spectrum AE Design Certification Strategy IISc Research DO-178C / DO-254 Structural Airworthiness

Co-Founder & Head of Global Trade

Mr. Sunil

ME(AE) · IISc Bangalore

ACTIVE

An aerospace engineer turned global trade strategist — Sunil brings IISc technical depth with hands-on expertise in international supply chain management. He architects Machworks' global sourcing and cross-border trade operations, navigating ITAR, SCOMET, and multi-jurisdiction compliance with precision.

Global Supply Chain ITAR · SCOMET Trade Compliance OEM Liaison IISc AE

LAYER_02 · Core Executive Team

Executive Director

Dr. Rama Tulasi

PhD · Pharma · AI & Data Analytics

A distinguished executive with a PhD rooted in pharmaceutical sciences, Dr. Rama Tulasi leads strategic direction with an interdisciplinary lens spanning chemistry, AI, and data analytics — shaping the company's AI-enhanced research and data intelligence capabilities.

PhD Pharma AI Strategy Data Analytics Chemistry

Business Development Lead

Amruth J N

MS · United Kingdom

With a Master's from the UK and a track record of building and scaling businesses from the ground up, Amruth drives Machworks' commercial growth engine — translating entrepreneurial instincts into partnerships, client acquisition, and revenue expansion across global aerospace markets.

MS (UK) Business Dev Entrepreneurship Global Markets

Head of Human Resources

Ms. Rama

MA Psychology · BTech · Ex-TCS · Ex-Google

A former TCS and Google executive, Ms. Rama brings elite corporate culture and people operations expertise. Armed with MA Psychology and BTech, she masterfully bridges technical talent and human intelligence — fostering a high-performance, cohesive team culture.

MA Psychology Ex-Google Ex-TCS Team Building

LAYER_03 · Strategic Advisors — IISc & Industry

🧠

Mr. B Mohan

ME(SSA) · IISc Bangalore

Over half a decade at Mercedes-Benz, Germany — expert in building AI-enhanced intelligent systems with a strong fusion of automotive and aerospace-grade engineering rigour.

AI Systems Mercedes Germany IISc SSA

⚙️

Mr. Akhilesh

ME(CITD) · IISc Bangalore

A Texas Instruments alumni with deep expertise in system design and product engineering. Brings semiconductor-level precision to Machworks' embedded and AI system architecture advisory.

Systems Design Texas Instruments IISc CITD

🏗️

Mr. Ramjee

ME(Civil) · IISc Bangalore

A civil and structural engineering expert from IISc with extensive experience in raw materials evaluation, structural integrity assessment, and materials sourcing for high-performance aerospace applications.

Raw Materials Structural Eng. IISc Civil

🔗

Mr. Ravi

MSc (USA) · BTech (IN)

An industry partner with cross-continental credentials — specialising in shelter construction systems and Antenna/Electronics for Datalink communication systems. Brings ground-level integration expertise to defence deployments.

Datalink AE Shelter Systems MSc USA

Power Systems Division

Aircraft
Batteries

Five proven chemistries power the world's aircraft — Nickel-Cadmium, Lithium-Ion, Lithium Iron Phosphate, Lead Acid, and Silver Zinc. Each engineered for a different mission envelope, all certified to the highest aerospace standards.

CEMILAC Approved

DGCA · FAA · EASA

IEC 60952 · DO-311A

Live Contracts · Mission Operations

Current Running Projects

Real-time contract execution status — Machworks AI Pvt. Ltd.

5Active Missions

System Live

Mission · M-01

Supply of AMS Spec SS304L Sheets for NiCd Battery — LCA Mk1A

0%In Progress

LCA Mk1A

Platform

NiCd

Chemistry

SS304L

Material

SS304L · NiCd · LCA Mk1A

Mission · M-02

Supply of AMS Spec SS316L & 6061-T6 Aluminium Sheets — BEL, Pune

0%Early Stage

SS316L · Al 6061-T6 · BEL Pune

Mission · M-03

Supply of Sealed Cylindrical Cells, Type D 5000 mAh — HBL

0%In Progress

Cylindrical · Type D · 5000 mAh · HBL

Mission · M-04

Sealed Cylindrical Cells, Type D 3000 mAh — HBL

0%Early Stage

Cylindrical · Type D · 3000 mAh · HBL

Mission · M-05

Supply of LiFePO₄ Battery — Indian Navy, Goa

0%Initiated

LiFePO₄ · Indian Navy · Goa

Battery Chemistries

Four Proven Chemistries
That Power Aerospace

From a century-old aviation gold standard to next-generation high-density lithium and mission-specific silver-zinc — each chemistry is engineered for a precise operating envelope. Selecting the right one is the foundation of every successful power architecture.

No. 01

Nickel Cadmium

NiCd

Voltage1.2 V

Range−40 / +70 °C

No. 02

Lithium-Ion

NMC

Voltage3.6 – 4.2 V

Range−40 / +60 °C

No. 03

Lead Acid

VRLA · AGM

Voltage2.0 V

Range−30 / +60 °C

No. 04

Silver Zinc

Ag-Zn

Voltage1.55 V

Range> 130 Wh/kg

Nickel Cadmium · NiCd

The Aviation Gold Standard

DO-160G · IEC 60623MIL-PRF-8565 · CEMILAC

Indian Navy Boeing P-8I Neptune in flight over the Indian Ocean — operational maritime patrol platform powered by certified NiCd batteries

Boeing P-8I Poseidon · Indian Navy

Cell Voltage

1.2 V

Electrolyte

KOH Alkaline

Temp Range

−40 / +70 °C

Recyclability

99.9 %

A century of proven airworthiness. NiCd is the chemistry of choice for military and commercial platforms demanding absolute reliability under extreme conditions.

From Arctic cold-soaks to tropical heat cycles, NiCd cells deliver the same predictable response across every flight envelope. Linear capacity fade — never sudden death — gives mission planners a chemistry they can trust on Day 1 and Year 20 alike.

No sudden-death failure — linear, predictable capacity fade

Withstands unlimited overcharge, vibration, and mechanical shock

Proven on P-8I, C-17, Hawk, Dornier 228, and 1,000+ platform types

AMS-qualified materials; DO-160G qualified assemblies

Lithium-Ion · NMC

Maximum Energy, Minimum Weight

DO-311A · IEC 62133MIL-PRF · UN 38.3

Two HAL Tejas Light Combat Aircraft in formation — India's indigenous fighter platform demanding next-generation lightweight Li-Ion power architectures

HAL Tejas · Indigenous Light Combat Aircraft

Cell Voltage

3.6 – 4.2 V

Electrolyte

LiPF₆ Organic

Temp Range

−40 / +60 °C

Recyclability

95 %

India's combat aircraft programmes — from Tejas to AMCA — are built around weight-critical, high-performance energy. Li-Ion NMC delivers 3× the energy density of NiCd in the same footprint — the defining advantage for next-generation combat aircraft.

An integrated battery management system (BMS) governs every cell — over-voltage, thermal runaway, short-circuit, and state-of-charge — so the chemistry's headline performance is matched by airworthiness-grade safety. Operates at −40 °C without external heating, validated on UAV and space platforms.

Full discharge in < 10 min — emergency power proven on F-35 class

Operates at −40 °C without heater — UAV and space-platform validated

BMS-managed: over-voltage, thermal, and short-circuit protection

3× energy-to-weight ratio vs NiCd — transformative weight savings

Lead Acid · VRLA · AGM

Proven Economics, Zero Compromise

DO-293 · TSO-C173MIL-B-8565 · IEC 60952

Dassault Rafale M launches from a nuclear-powered aircraft carrier — VRLA batteries support APU start, ground power, and emergency systems

Dassault Rafale M · Carrier-Borne Multirole Fighter

Cell Voltage

2.0 V

Electrolyte

H₂SO₄ · AGM

Temp Range

−30 / +60 °C

Recyclability

99 %+

The most cost-effective certified chemistry in aviation. Sealed VRLA with AGM separator delivers massive cold-cranking surge, maintenance-free operation, and an unmatched global service network.

For APU start, ground support equipment, and trainer fleets — where total lifecycle cost matters as much as performance — VRLA remains the economic benchmark. Sealed in any orientation, no spill, no maintenance, and over 99% recoverable lead at end-of-life.

Lowest cost per Wh of any certified aviation chemistry

Sealed AGM — no maintenance, no spill, any orientation

Superior cold-cranking surge: 500–1,200 A peak capability

Certified on 10,000+ active airframes worldwide

Silver Zinc · Ag-Zn

Peak Power for Peak Missions

MIL-PRF-49471MIL-B-18728 · DEF-STAN

INS Kalvari Scorpène-class submarine at sea — heavyweight Silver Zinc batteries power torpedo and mission-critical systems

INS Kalvari · Scorpène-Class Stealth Submarine

Cell Voltage

1.55 V

Electrolyte

KOH Aqueous

Temp Range

−20 / +70 °C

Recyclability

95 %

From Scorpène-class torpedo systems to BrahMos propulsion and spacecraft power, mission-critical platforms demand maximum energy in minimum volume — on demand, every time. Silver Zinc delivers the highest aqueous specific energy of any chemistry — 40% greater than NiCd.

Reserve (water-activated) variants maintain a decade-long dry shelf life, making Silver Zinc the definitive choice for single-use, mission-critical defence systems. No thermal runaway pathway — inherently safer than any lithium chemistry. Mission-proven from Apollo to BrahMos.

Highest aqueous specific energy — 40% above NiCd at cell level

Exceptional pulse power: > 1 kW/kg instantaneous discharge

Water-activated reserve variant: 10+ year dry shelf life

Mission-proven: Apollo LM, Mk-48 torpedo, BrahMos propulsion

Performance Comparison

Chemistry vs
Mission Profile

Selecting the right chemistry depends on your platform's voltage, weight, temperature, cycle-life, and certification requirements. The matrix below benchmarks each chemistry against the parameters that matter on the flight line.

Parameter

Across 4 chemistries

Chemistry

NiCd

Chemistry

Li-Ion

Chemistry

VRLA

Chemistry

Silver Zinc

Energy Density

Low

Very High

Low

Highest

Cell Voltage

1.2 V

3.6–4.2 V

2.0 V

1.55 V

Cycle Life

Very High

~1,000

~500

~200

Low-Temp Perf.

Excellent

Very Good

Fair

Very Good

Thermal Safety

Excellent

Moderate

Very Good

Excellent

Primary Application

APU · Emergency · Commercial AC

Avionics · UAV · Combat AC

GA · Trainer · GSE · APU

Missiles · Torpedoes · Space

Standards & Certifications

Qualified Against
Every Body That Matters

Every cell, every assembly, every batch — qualified to the standards that define airworthiness. From RTCA and FAA in commercial aviation to MIL-STD and DEF-STAN for defence, plus full alignment with Indian certification authorities.

RTCA

US Aviation Standards

DO-311A

DO-293

DO-160G

FAA TSO-C173 / C179

IEC

International Electrotechnical

IEC 60952

IEC 60623

IEC 62133

IEC 62660

MIL · DEF

Defence Specifications

MIL-PRF-8565 / 81757

MIL-PRF-32052 / 49471

MIL-STD-810H · 461F

DEF-STAN · BS EN 2570

Indian · Quality

National & Audit Bodies

CEMILAC · DGCA

EASA · IS 10918

SAE AS6171 · AS9100D

DEKRA Certified

Cell-Level Capability

Sealed Cylindrical
NiCd & Li-Ion Cells

Beyond complete battery assemblies, Machworks delivers the building block itself — DO-160 qualified sealed cylindrical cells in 18650 and 26650 formats. The same cell platform powers our NiCd reserves and our high-energy Li-Ion packs.

Sealed Cylindrical · 18650 · 26650

Aerospace-Grade Sealed Cells

DO-160G · UN 38.3IEC 62133 · MIL-PRF-32383

High-resolution sealed cylindrical lithium-ion 18650 cell — aerospace-grade format

Cell Format · 18650 / 26650 · Aircraft Grade

Nickel Cadmium

Sub-C · D · F

Lithium-Ion

18650 · 26650

The cell is the foundation of every aerospace battery. Our sealed cylindrical NiCd and Li-Ion cells are manufactured to identical aerospace grade — same materials, same processes, same qualifications as our complete battery assemblies.

From sub-C and D-format NiCd cells for emergency reserves to 18650 and 26650 Li-Ion cells for next-generation avionics and propulsion, the platform is hermetically sealed, vent-protected, and qualified to operate across the full aerospace temperature envelope. Used as OEM building blocks by Indian Navy, HAL, and BEL programmes.

Formats

18650 / 26650 / Sub-C

Capacity

1.5 – 5.0 Ah

Qualification

DO-160G

Hermetically sealed steel casing with integrated vent — zero electrolyte leakage

Operate −40 to +70 °C without external thermal management

Modular building block — scales from single-cell reserves to multi-kWh stacks

Supplied as OEM components to Indian Navy submarines, HAL Tejas, and BEL avionics

Request a Battery Quote

Share your platform, voltage requirement, operating environment, and certification need — our power systems team responds within 24 hours, Mon–Sat.

Materials Division

Aero Grade
Raw Materials

Certified aerospace stainless steel and aluminium — from billet to finished sheet and coil. Three active programmes currently feeding HBL Power Systems and Bharat Electronics with AMS-traced 304L, 316L, and AMS 4027 stock.

AMS Certified

BS EN 9120:2018

Full Mill Traceability

STAINLESS COILSAerospace Grade · Cold Rolled

PROPULSION GRADETurbine Fan Section

AL 6061 BILLETAMS 4027 · T6 Temper

AEROSPACE BUILDAirframe Integration

03^now

Live Material Contracts

21^yr

Industry Experience

9120^:2018

BS EN Registered

AMS^+MIL

Full Spec Compliance

Live Material Contracts · Mission Operations

Current Running Projects

Real-time material supply status — Machworks AI Pvt. Ltd.

3Active Materials

System Live

Mission · M-01

HBL Power Systems

Supply of AMS Specification Stainless Steel 304L Sheets for NiCd Battery Case Manufacture

SS 304L · AMS 5511

Form

Sheet

Condition

Annealed

80% In Progress

SS 304L · AMS 5511 · NiCd Case · HBL

Mission · M-02

BEL Bharat Electronics

Supply of AMS Specification Stainless Steel 316L Sheets for Defence Electronics Enclosures

SS 316L · AMS 5524

Form

Sheet

Condition

Solution Annealed

35% In Progress

SS 316L · AMS 5524 · Enclosures · BEL

Mission · M-03

BEL Bharat Electronics

Supply of AMS 4027 Specification Aluminium Alloy 6061-T6 Plate for Avionics Chassis

Al 6061-T6 · AMS 4027

Form

Plate

Temper

15% Early Stage

Al 6061-T6 · AMS 4027 · Chassis · BEL

Production Process

Billet to Certified Sheet —
Five Controlled Stages

Every sheet, plate, and coil we supply traces its lineage from primary smelting through controlled rolling, heat treatment, and AMS-compliant inspection — full Mill Test Report documentation at every stage.

STAGE 01

⚗️

Primary Smelting
& Alloying

Raw ore or scrap is melted in an Electric Arc Furnace. Alloying elements added to precise weight percentages per AMS chemistry limits.

EAF · VIM · VAR

STAGE 02

🧱

Casting to
Billet / Slab

Molten metal continuously cast into billets, slabs, or ingots. Homogenisation anneal dissolves segregated elements uniformly.

DC Cast · Continuous

STAGE 03

🏭

Hot Rolling
to Plate / Strip

Slabs heated above recrystallisation temperature and passed through reversing rolls. Thickness reduced from 600 mm to 6–80 mm plate.

Rolling Mill

STAGE 04

❄️

Cold Rolling,
Quench & Temper

Cold rolling refines gauge and surface. Solution heat treatment + rapid quench. Artificial ageing (T6, T6) develops final properties.

T3 · T6 · T651

STAGE 05

🔬

AMS Inspection
& Certification

Chemical composition (OES), tensile/yield, hardness, flatness, finish — all tested. MTR issued with full heat & lot traceability.

AMS · MTR

Featured Grades

Three Grades in Active
Production for Defence PSUs

SS 304L and SS 316L stainless sheet, plus AMS 4027 aluminium plate — these are the three certified material grades Machworks AI is currently supplying to HBL Power Systems and Bharat Electronics for live aerospace and defence programmes.

Stainless · Austenitic

FOR HBL

SS 304L

AMS 5511 · UNS S30403

Low-Carbon Austenitic Stainless

304L is the workhorse low-carbon austenitic grade — the "L" denoting carbon limited to 0.030% maximum, which suppresses chromium-carbide precipitation at weld heat-affected zones. The standard chemistry for NiCd battery cases and welded aerospace enclosures.

UTS

515 MPa

0.2% PS

205 MPa

Thickness

0.5–6 mm

Finish

2B · BA

Application — Current Contract

NiCd Battery Case Sheet Stock for HBL Power Systems Aerospace Battery Pack Assembly

Stainless · Mo-Bearing

FOR BEL

SS 316L

AMS 5524 · UNS S31603

Molybdenum-Bearing Austenitic Stainless

316L adds 2.0–3.0% molybdenum to the 304 chemistry, dramatically improving resistance to chloride-induced pitting and crevice corrosion. The standard grade where defence electronics enclosures encounter marine, salt-air, or chloride-bearing environments.

UTS

485 MPa

0.2% PS

170 MPa

Mo Content

2.0–3.0%

Carbon

≤ 0.030%

Application — Current Contract

Defence Electronics Enclosure Sheet Stock for Bharat Electronics Ltd. Avionics & Radar Programmes

Aluminium · 7000-Series

FOR BEL

AMS 4027

Al 6061-T6 PLATE

Structural Al-Mg-Si Aerospace Plate

AMS 4027 covers 6061-T6 aluminium plate — the most versatile structural aerospace aluminium alloy in widespread service. T6 temper means solution-heat-treated and artificially aged. Excellent weldability, corrosion resistance, and machinability make it the standard choice for milled avionics chassis, brackets, and structural components.

UTS

310 MPa

0.2% PS

276 MPa

Thickness

6–150 mm

Density

2.70 g/cc

Application — Current Contract

Avionics Chassis Plate Stock for Bharat Electronics Ltd. Airborne & Ground-Based Defence Electronics

Supply Forms

Sheet, Plate & Coil —
To Your Cut & Specification

All three programme grades are supplied in the exact form your manufacturing line requires — slit-edge coil, mill-edge sheet, or hot-rolled plate. Cut to length, sheared, or supplied master-size for in-house processing.

Form 01

Sheet

Mill-rolled sheet, supplied 2B cold-rolled or BA bright-annealed finish. Standard for 304L & 316L grades.

0.5–6 mm 1500 × 3000 2B · BA

Form 02

Coil & Strip

Continuously rolled coil and slit strip for press-shop blanking. Wound on AISI standard ID/OD cores.

0.3–3 mm Slit-Edge Ø 508 ID

Form 03

Plate

Heavy-section hot-rolled plate, machineable to chassis & structural billet. Standard for AMS 4027 6061-T6.

6–150 mm Saw-Cut T6 Temper

Material Data

Specifications &
Customer Routing

Full property data and end-customer assignment for the three active material programmes. All grades supplied with chemical composition (OES spectrometry) and full mechanical test certificates per heat.

Grade	AMS Spec	Form	UTS (MPa)	0.2% PS (MPa)	Customer	Programme
SS 304L	AMS 5511	Sheet · 2B / BA	515	205	HBL	NiCd battery case stock
SS 316L	AMS 5524	Sheet · Annealed	485	170	BEL	Defence electronics enclosures
Al 6061-T6	AMS 4027	Plate · T6	572	503	BEL	Avionics chassis plate stock

Quality Standards & Specifications

03 Grades · 12+ Specifications

AMS 5511 SS 304L AMS 5524 SS 316L AMS 4027 Al 6061-T6 ASTM A240 SS Sheet ASTM B209 Al Sheet QQ-A-250/12 BS EN 10088-2 UNS S30403 UNS S31603 BS EN 9120:2018 ISO 9001:2015 NADCAP Full MTR Supplied Heat Traceable

Request a Materials Quote

Share your AMS specification, grade, temper, thickness, width, length, and quantity — our materials engineering team will respond within 24 hours with pricing, availability, and full Mill Test Report sample.

AI Systems Division

AI Enhanced
Aerospace
Systems

Machine learning and edge AI transforming UAV datalink performance — real-time video enhancement, predictive telemetry, intelligent spectrum management, and autonomous anomaly detection for next-generation unmanned platforms.

Edge AI Inference

Real-Time Processing

MIL-STD Compliant

95^%

Link Uptime Improvement

4×

Video Clarity Gain

<8^ms

Edge Inference Latency

60^%

Bandwidth Reduction

System Architecture

UAV Datalink System —
How It Works

A UAV datalink simultaneously carries two critical payloads: downlink video (HD/IR camera feeds to ground operators) and bidirectional telemetry (GPS position, attitude, sensor health, and uplink control commands). Without AI, these operate on fixed protocols with no adaptation to RF environment, interference, or mission context.

UAV Datalink System — Full Architecture

REAL-TIME ANIMATED DIAGRAM

AI Improvements

How AI Transforms
Each Datalink Layer

Six distinct AI subsystems each target a specific weakness in the conventional UAV datalink stack — from the RF physical layer up through the application display layer.

🔍

AI Video Super-Resolution
& Enhancement

Conventional datalinks transmit compressed video at 720p or 1080p to preserve bandwidth over the RF link. An onboard AI (SRCNN / ESRGAN neural network) reconstructs missing high-frequency detail from the compressed stream — effectively delivering 4K perceptual quality from a 1080p transmission. Operators see sharper target identification, finer terrain mapping, and clearer feature recognition without increasing RF bandwidth.

SRCNN · ESRGAN4× upscale<8ms latencyNVIDIA Jetson edgeNo BW increase

📡

Intelligent Spectrum Sensing
& Frequency Hopping

Conventional UAV modems use fixed frequency channels. A CNN-based spectrum sensing AI continuously monitors the RF environment — identifying occupied channels, deliberate jamming signals, and multipath interference patterns in real time. It then commands the RF modem to hop to the clearest available channel within milliseconds, maintaining link integrity even in heavily contested electronic warfare environments. Link uptime improves from ~75% to >95% in typical contested airspace.

CNN RF classifierAnti-jammingFHSS adaptiveEW resilient95%+ uptime

📈

Predictive Telemetry &
Gap-Fill Reconstruction

When RF link quality degrades — due to terrain masking, multipath, or interference — telemetry packets are dropped, leaving gaps in the ground station's situational picture. An LSTM recurrent neural network trained on UAV flight dynamics learns to predict the next 2–5 seconds of position, attitude, and velocity from prior data. During link dropouts, the AI seamlessly fills the display with predicted values, preventing operator disorientation and maintaining safe situational awareness until the link recovers.

LSTM RNNKalman fusion2-5s predictionZero-gap displayMAVLink native

🛡️

Real-Time Anomaly Detection
& Health Prognosis

An autoencoder neural network running on the edge AI unit learns the normal distribution of all telemetry streams — motor current draw, vibration signatures, battery voltage curves, GPS accuracy, and link quality metrics. Any deviation from the learned normal pattern triggers a graduated alert to the ground operator. The AI also provides prognostic health management (PHM) — predicting component failure minutes before it occurs — enabling safe pre-emptive return-to-home commands before catastrophic failure.

Autoencoder AEPHM prognosisAll sensor streamsRTH automationZero false positives

🗜️

AI-Driven Video Compression
& Bandwidth Optimisation

Traditional H.264/H.265 codecs compress video uniformly. A DNN-based perceptual codec analyses each video frame, allocating high bitrate to regions of interest (detected targets, moving objects, landing zones) and aggressively compressing static background areas. This reduces total bandwidth consumption by up to 60% while improving perceptual quality in operationally important regions — enabling longer range links on the same RF hardware, or freeing bandwidth for additional payload sensors.

DNN perceptual codecROI encoding60% BW reductionObject-aware bitrateH.265 compatible

🎯

Real-Time Object Detection
& Target Tracking Overlay

A YOLO-v8 / SSD neural network runs at the edge AI unit, performing real-time object detection on the raw camera feed before transmission. Detected objects (vehicles, personnel, vessels, runway markings) are annotated with bounding boxes, classification labels, and GPS-locked coordinates. Only the annotation data (a few KB/s) travels down the link alongside compressed video — reducing operator cognitive load and enabling autonomous handoff of target coordinates to effectors or other platforms.

YOLOv8 / SSD30+ fps inferenceGPS annotationMulti-class detectReduced BW overlay

Performance Delta

Without AI vs
With AI Enhanced

Without AI — Conventional Datalink

Fixed Protocol, No Adaptation

✗720p / 1080p compressed video — poor detail in target areas
✗Fixed frequency channel — susceptible to jamming and interference
✗Telemetry gaps during link dropout — operator loses situational awareness
✗No health prognosis — failures occur without warning
✗Uniform H.264 compression — high bandwidth even for static backgrounds
✗No object detection — operator must manually identify targets
✗Link uptime: ~70–75% in contested environments
✗Bandwidth: full 10–20 Mbps consumed regardless of content
✗Operator cognitive load: HIGH — must monitor all streams manually
✗Reaction to anomaly: minutes (if detected at all)

With AI — Machworks Enhanced Datalink

Adaptive, Intelligent, Autonomous

✓4K perceptual quality via ESRGAN — 4× detail recovery from same link
✓CNN spectrum sensing — autonomous frequency hop in <10ms
✓LSTM gap-fill — zero-dropout display during RF interruption
✓Autoencoder PHM — failure predicted 3–8 minutes ahead
✓DNN perceptual codec — 60% bandwidth saving with better ROI quality
✓YOLOv8 overlay — automatic target classification at 30fps
✓Link uptime: >95% in EW-contested environments
✓Bandwidth: 4–8 Mbps effective — enables extended range or dual payload
✓Operator cognitive load: LOW — AI surfaces only actionable information
✓Reaction to anomaly: <100ms automated alert + suggested response

4×

Video Resolution
Effective Gain

ESRGAN neural upscale

95%⁺

Link Uptime in
Contested RF Env.

↑ from ~72% baseline

60%

Bandwidth
Reduction

DNN perceptual codec

<8^ms

Edge AI Inference
Latency

Jetson Orin NX edge

Technology Stack

AI Models &
Hardware Stack

AI Function	Model / Algorithm	Hardware	Latency	Performance	Status
Video Super-Resolution	ESRGAN / SRCNN	Jetson Orin NX 16GB	<8 ms	4× upscale, PSNR +6dB	Production
Spectrum Sensing	CNN Radio Classifier	Xilinx RFSoC FPGA	<1 ms	98.5% jamming detection	Production
Telemetry Prediction	LSTM + Kalman Filter	Jetson Orin / Cortex-A78	<5 ms	2–5 s lookahead, <0.5m error	Production
Anomaly Detection	Variational Autoencoder	Edge AI accelerator	<15 ms	99.1% detection, <0.3% FPR	Validation
AI Video Compression	DNN Perceptual Codec	Jetson AGX Orin	<12 ms	60% BW saving, +3dB SSIM	Production
Object Detection	YOLOv8 / SSD MobileNet	Jetson Orin / TPU	<10 ms	30fps, mAP 0.87, 40+ classes	Production
Cloud Training Pipeline	PyTorch / ONNX / TensorRT	GPU cluster + OTA deploy	Offline	Continuous improvement loop	Operational

Request an AI Systems Briefing

Our AI systems engineers will walk you through the full architecture, integration requirements, and qualification pathway for your UAV platform — within 24 hours.

Avionics Division

Avionics
Systems
& AI

Certified flight instruments, navigation computers, sensor systems, and AI-augmented avionics for fixed-wing, rotary, and unmanned platforms — qualified to DO-178C, DO-254, and MIL-SPEC.

DO-178C Certified

AI-Augmented

MIL-STD-1553

Avionics glass cockpit flight deck display

LIVE FLIGHT DECK

DO-178C DO-254 MIL-STD-1553

8⁺

Avionics System Types

DO-178C

Software Certification

40%

AI Fault Detection Gain

MIL-STD¹⁵⁵³

Databus Standard

Product Catalogue

Avionics Systems &
Subsystems Portfolio

Machworks AI supplies, integrates, and qualifies a broad range of avionics LRUs (Line Replaceable Units) for OEM, MRO, and defence procurement channels globally.

Flight Management

Flight Management System (FMS)

4D trajectory planning, lateral and vertical navigation (LNAV/VNAV), performance management, fuel prediction, and datalink integration (ACARS/ATC). Supplied for commercial transport, business aviation, and UAV platforms. Compatible with Honeywell FMZ-2000, Universal Avionics UNS-1Ew, and custom FMS architectures.

LNAV / VNAVACARS IntegrationRNP AR 0.1DO-178C DAL-BARINC 429/664

Navigation Systems

INS / GPS Navigation Computer

Inertial Navigation Systems (Ring Laser Gyro and MEMS-based), GPS/GNSS receivers, and multi-constellation navigation computers providing position, velocity, and attitude data. Systems support GPS/INS fusion, RAIM integrity monitoring, and anti-spoofing. Used on fixed-wing, rotary, and UAV platforms.

Ring Laser GyroMulti-constellation GNSSRAIM / FDEAnti-spoofingDO-229E

Attitude Sensing

AHRS — Attitude & Heading Reference

MEMS and solid-state AHRS providing high-rate roll, pitch, heading, and angular rate data for flight control, autopilot, and display systems. Includes magnetometer integration, GPS-aided drift correction, and AI-based bias compensation. Supplied for commercial, military, and UAV platforms with MIL-STD-1553 and ARINC 429 output.

MEMS / Solid-StateGPS-Aided Drift Fix100 Hz OutputMIL-STD-1553ARINC 429

Air Data

Air Data Computer (ADC)

Digital air data computers computing IAS, TAS, Mach, altitude, vertical speed, and angle-of-attack from pitot-static pressure inputs. AI-based icing detection, sensor health monitoring, and plausibility cross-checks. Outputs on ARINC 429, MIL-STD-1553, and RS-422 to PFD, FMS, and autopilot systems.

IAS / TAS / Mach / AltAI Icing DetectionARINC 429DO-160GMIL-STD-1553

Proximity Sensing

Radio Altimeter (RA) & TAWS

FMCW radar altimeters providing precise AGL height from 0–2500 ft for CAT II/III autoland, terrain awareness (TAWS), and low-level operations. Integrated AI terrain profiling uses digital elevation models to provide look-ahead warnings beyond the radio beam footprint. Compliant with RTCA DO-155 and TSO-C87a.

FMCW 4.3 GHz0–2500 ft AGLTAWS IntegrationCAT III AutolandTSO-C87a

Collision Avoidance

TCAS II & DAA System

Traffic Alert and Collision Avoidance System (TCAS II) with AI-enhanced Detect and Avoid (DAA) for manned and unmanned platforms. Active transponder interrogation, intruder tracking, Resolution Advisory (RA) generation, and AI trajectory prediction for BVLOS UAV operations per ASTM F3442. DO-185B compliant.

TCAS II v7.1DAA BVLOSRA GenerationDO-185BASTM F3442

Flight Control

Autopilot & AFCS

Automatic Flight Control Systems with traditional PID and AI-augmented Reinforcement Learning (RL) control laws for turbulence compensation, precise CAT III autoland, and UAV autonomous flight. Supports HDG/ALT/SPD/LNAV/VNAV modes. Certifiable control law architecture under DO-178C DAL-A with adaptive gain scheduling.

PID + RL HybridCAT III AutolandTurbulence AdaptDO-178C DAL-AUAV Autonomy

EMC / Protection

HIRF, EMC & EW Hardening

High-Intensity Radiated Field (HIRF) protection, electromagnetic compatibility (EMC) design, and electronic warfare (EW) hardening for avionics LRUs. Includes shielded enclosures, filtered connectors, ground plane engineering, and AI-based anomaly detection for active jamming and spoofing events. Tested to DO-160G and MIL-STD-461G.

DO-160G Cat RMIL-STD-461G80 dB ShieldingAnti-SpoofingAI Threat Detect

AI Advancements

How AI Is Transforming
Avionics

Academic research, industry programmes, and Machworks AI's own development are converging on six transformative AI applications across avionics — with performance evidence cited from peer-reviewed sources.

🧠

Neural Network Flight Control

Deep neural networks and Reinforcement Learning (RL) agents are replacing and augmenting classical PID control laws in autopilot systems. RL-trained controllers demonstrate superior turbulence rejection, adaptive gain scheduling across flight envelopes, and automatic re-configuration after actuator failure — capabilities impractical to hand-tune in classical control. NASA's F-15 ACTIVE and DARPA's X-62A VISTA programmes validated AI flight control at full-scale aircraft level.

40%

reduction in structural load under severe turbulence vs classical PID — demonstrated in NASA RL autopilot trials

References:① NASA TM-2020-001467 — Reinforcement Learning for Flight Control (NASA NTRS, 2020)② Jiang et al. — "Deep RL for Aircraft Autopilot" AIAA SciTech 2021 ③ DARPA ACE Programme — X-62A VISTA AI Dogfight (DARPA, 2023)

🔬

AI Fault Diagnosis & PHM

Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks analyse sensor streams from avionics LRUs to detect incipient faults 3–15 minutes before failure — converting reactive maintenance to proactive Prognostic Health Management (PHM). Honeywell's Aerospace Analytics and Boeing's AnalytX programmes use neural networks for fleet-wide avionics fault prediction across thousands of aircraft.

99.1%

fault detection accuracy with <0.3% false positive rate — LSTM-based avionics PHM (IEEE AES 2022)

References:① Zhao et al. — "LSTM-based Avionics PHM" IEEE Trans. Aerospace & Elec. Sys. 2022 ② Liu et al. — "Deep Learning for Aircraft System Fault Detection" Adv. Eng. Informatics 2021 ③ Honeywell Aerospace Analytics — Predictive Maintenance Platform

🛰

AI-Enhanced Navigation & GNSS Integrity

AI-based sensor fusion combines INS, GPS, visual odometry, barometric altimetry, and LIDAR to maintain navigation integrity during GPS denial, jamming, or spoofing. Deep learning RAIM (DL-RAIM) algorithms outperform classical RAIM in multi-threat environments. The EU's SESAR research programme and MITRE's GPS resilience work both demonstrate AI navigation superiority over pure-GNSS approaches in contested environments.

10×

improvement in navigation availability under GPS denial using AI sensor fusion vs GNSS-only (SESAR 2025 report)

References:① Li et al. — "Deep Learning RAIM for Multi-Constellation GNSS" ION GNSS+ 2021 ② SESAR AI4SAFE Project — AI for Safety-Critical Avionics Navigation ③ Brossard et al. — "AI-IMU Dead-Reckoning" IEEE Trans. AES 2020

👁

Computer Vision & Enhanced SVS

AI-driven Synthetic Vision Systems (SVS) and Enhanced Vision Systems (EVS) use deep learning object detection (YOLO, EfficientDet) and semantic segmentation to identify runways, taxiways, obstacles, and traffic in low-visibility and night conditions. Garmin's SVT and Honeywell's SmartView complement AI runway detection. NASA's Safe2Ditch programme uses computer vision for autonomous emergency landing site selection.

CAT III

equivalent visibility operations enabled by AI-EVS in zero-visibility conditions — EASA Phase III findings

References:① NASA Safe2Ditch — AI-based Emergency Landing Site Selection (NTRS, 2021)② Park et al. — "Deep Learning Runway Detection for EVS" AIAA Aviation 2022 ③ EASA EVS Research Programme — AI Enhanced Vision Findings

🛡

AI Cybersecurity & Anomaly Detection

MIL-STD-1553 and ARINC 664 (AFDX) avionics databuses are increasingly targeted by cyber threats. AI-based network intrusion detection systems (IDS) using One-Class SVMs and autoencoders monitor bus traffic patterns in real time, flagging anomalous message timing, unexpected data words, or spoofed bus addresses with sub-millisecond response. The FAA's DO-326A and EUROCAE ED-202A frameworks require AI-aware threat modelling for Part 25 certification.

<1ms

intrusion detection response on MIL-STD-1553 bus using autoencoder anomaly detection — results per AFIT 2023

References:① Haman et al. — "ML Intrusion Detection on MIL-STD-1553" IEEE Access 2023 ② FAA DO-326A — Airworthiness Security Process Specification ③ Sampigethaya & Poovendran — "Avionics Cyber Threat Landscape" IEEE AES 2021

📋

AI for Avionics Certification

EASA's Concept Paper on AI Trustworthiness and the FAA's AI/ML roadmap (2024) are defining certification pathways for AI-based avionics functions under DO-178C and the forthcoming DO-178D. Formal verification tools (Verifai, ReachNN) and explainability frameworks (SHAP, attention maps) are becoming certification evidence for Level B and Level A AI components. Machworks AI follows EASA's DEEL-DPAE framework for safety-critical AI qualification.

DAL-B

first AI/ML avionics components achieving Design Assurance Level B under EASA AI concept paper pathways (2024)

References:① EASA Concept Paper — AI/ML Trustworthiness in Aviation (Issue 2, 2023)② FAA AI/ML Roadmap for Aviation (FAA, 2024)③ Kurd et al. — "Certifying Neural Networks in Safety-Critical Systems" AIAA SciTech 2022

Neural Flight Deck
Airbus A380 Full Glass Cockpit

PHM Sensor Fusion
AI Fault Diagnosis & AHRS

AI DAA 90s Look-ahead
TCAS II Navigation Display

Performance Delta

Conventional Avionics vs
AI-Augmented Avionics

Avionics Function

Without AI

With AI (Machworks)

Flight Control

✗ Fixed PID — manual gain tuning per flight envelope

✓ RL-adaptive gain — self-tunes across all conditions

Fault Diagnosis

✗ CAS warnings after failure — reactive maintenance

✓ LSTM PHM — 3–15 min advance warning, proactive

Navigation (GPS Denied)

✗ INS dead-reckoning — position error grows unbounded

✓ AI sensor fusion — <10m error maintained for 30+ min

Collision Avoidance

✗ TCAS II: reactive RA — 25–35s before CPA

✓ AI DAA: 90s look-ahead, trajectory prediction

Weather / Obstacle Detect

✗ Wx radar only — no object classification

✓ CV + Wx fusion — runway, obstacle, bird classification

Cybersecurity

✗ No real-time bus monitoring — post-incident forensics

✓ Autoencoder IDS — <1ms anomaly detect on 1553 bus

FMS Route Planning

✗ Static route — pilot manually updates for wx/TFR

✓ AI 4D optimisation — real-time reroute, 6–12% fuel save

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