Endurance
42.6min
+8.4%
Payload
3.20kg
+0.3
MTOW
11.4kg
−1.1
Cruise
118kt
+5
CONCEPT · GEN_47
CFD CONVERGED
Reinforcement Learning · Reward TrajectoryEpisode 12,847
Saudi Arabia · Aerospace Engineering · AI
Accelerating the development of autonomous systems through AI.
KvellTech is building TP-1, an AI-powered aerospace engineering platform that designs, simulates, optimizes, and rapidly prototypes the next generation of autonomous aerial systems.
TP-1 · Engineering Build 0.7Lat 24.7136° · Lon 46.6753°// SYSTEMS NOMINAL
Mission
The future of aerospace engineering.
Developing autonomous systems remains slow, expensive, and resource intensive. KvellTech is reimagining the aerospace development process through artificial intelligence, high-fidelity simulation, reinforcement learning, and rapid prototyping.
Step 01Mission Requirements
Step 02AI Design Generation
Step 03Simulation
Step 04Reinforcement Learning
Step 05Optimization
Step 063D-Printable Prototype
The Problem
The current process is broken.
Defense and aerospace organizations are constrained by an engineering process that was never designed for the pace of modern operational requirements.
01
Long Development Cycles
Traditional aerospace programs require months — often years — of iterative design, manufacture, and test before a single airframe is mission-ready.
02
High Engineering Costs
Significant engineering manpower is required across aerodynamics, structures, propulsion, and avionics, driving program cost into the tens of millions.
03
Multiple Physical Prototypes
Repeated manufacturing, instrumentation, and flight-test cycles inflate cost and delay deployment by months at every revision.
04
Slow Innovation
Defense and commercial organizations struggle to deploy new autonomous platforms at the pace operational requirements now demand.
TP-1 · Platform
Meet TP-1.
TP-1 is an AI-powered aerospace engineering platform that automates the design, simulation, optimization, and rapid prototyping of autonomous aerial systems — collapsing development cycles from years to weeks.
TP-1 · Mission Workspace · MQ-Recon-09
01
AI Design Generation
Generate optimized airframe and propulsion concepts directly from mission requirements — payload, range, endurance, environment.
02
Advanced Simulation
Validate aerodynamic, structural, and mission performance in high-fidelity virtual environments before any physical hardware is built.
03
Reinforcement Learning
Train autonomy stacks in simulation across thousands of scenarios, continuously improving control and decision-making performance.
04
Rapid Prototyping
Export manufacturing-ready CAD and toolpaths — designs move from concept to a 3D-printable prototype in days, not quarters.
Workflow
AI-native aerospace development.
From mission requirements to a flight-ready prototype — a single continuous, AI-driven engineering loop.
01
Define Mission
Payload, range, endurance, operational environment.
02
Generate Concepts
AI produces multiple feasible drone architectures.
03
Simulate
Virtual validation across thousands of scenarios.
04
Optimize
Reinforcement learning improves real-world performance.
05
Prototype
Generate manufacturing-ready, flight-test-ready designs.
Market
Built for the autonomous era.
Defense Modernization
Autonomous systems are the fastest-growing segment of global defense spending.
Vision 2030
Saudi Arabia's national commitment to localizing defense and aerospace capability.
AI Adoption
AI is being embedded across the aerospace value chain — from design to operations.
Future Mobility
Defense, logistics, energy, and security increasingly depend on autonomous platforms.
Why KvellTech
Why we are different.
Conventional aerospace engineering programs are sequential, manual, and prototype-heavy. TP-1 is the opposite.
Traditional Development
- ✕ Manual design
- ✕ Long cycles
- ✕ High cost
- ✕ Multiple physical prototypes
KvellTech · TP-1
- ✓ AI-assisted design generation
- ✓ Rapid iteration in simulation
- ✓ Lower program cost
- ✓ Virtual validation
Roadmap
Our journey.
A staged path from platform validation to a regional autonomous-systems ecosystem.
2026
Platform Validation
TP-1 alpha — internal design loops and reference airframes.
2027
Pilot Projects
Engagements with government, defense, and research partners.
2028
Commercial Deployment
TP-1 generally available to qualified defense customers.
2029
Regional Expansion
GCC and broader MENA aerospace deployments.
2030+
Autonomous Ecosystem
An end-to-end ecosystem for autonomous system development.
Partners
Strategic partnerships.
KvellTech is supported by a network of specialized partners across manufacturing, infrastructure, and information technology.
MG
Meamar Gulf
Electronics Manufacturing
AM
Alpha Middle East
Fiber Optic Solutions
KI
Kameda Infologics
IT Consulting
Vision
Building the future of autonomous systems.
Our long-term vision is to become a leading developer of AI-powered aerospace engineering technologies — enabling defense, government, and commercial organizations to create autonomous systems faster, more efficiently, and at significantly lower cost.
Founder
Built by a new generation of engineers.
Hassan Khan
Founder & CEO · Mechanical Engineering
Hassan founded KvellTech to close the gap between modern AI capabilities and the decades-old engineering process that still defines aerospace development. He leads technology, product, and strategy.
Discipline
Mechanical Engineering
Based
Jeddah, Saudi Arabia
Contact
Let's build the future.
For investors, accelerators, government stakeholders, and prospective partners — get in touch to schedule a closed-door briefing on KvellTech and TP-1.
Emailinquiries@kvelltech.com
Phone+966 57 209 2321
HeadquartersJeddah, Kingdom of Saudi Arabia
// briefing protocol
All correspondence with defense and government stakeholders is handled under a strict disclosure protocol. Technical material is shared only after a mutual NDA.