The world,
made
intelligent.
UAE-registered digitalisation lab pairing immersive XR, digital twins, and human-computing interaction with empathy-driven design.
international university partner labs
project deliverables
across five sectors
Every initiative begins with your environment, your users, and your vision.
Our core R&D is developed in collaboration with leading university labs, combining international research capabilities in spatial computing and built-environment intelligence.
With an internationally experienced team of researchers and industry experts, we deliver high-quality solutions across XR, digital twins, and HCI.
To Deployment.
Six completed projects across six sectors. Every case shows the specific user problem, the technology applied, and a measurable outcome.
The project is a hybrid real-time urban digital twin for a smart city municipality, designed to model and predict the Urban Heat Island Effect by combining continuous sensor data streams with periodically updated environmental indices, such as topography, vegetation, building density, and water systems. It is incorporated in a predictive framework that generates an up-to-date, spatially resolved view of heat distribution across the city. An interactive simulation layer then enables users to test targeted interventions, including new buildings, greenery, and water bodies with research-backed metadata, allowing scenario-driven exploration of how planning and design decisions influence urban heat patterns in a responsive environment.
- Multi-layer integration of 10 datasets
- Real-time sensor information of climate & weather monitoring from 3 sources
- Research-modelled 10 user parameters, allowing for individual & in-combination scenarios
- Achieved ~20 m spatial resolution accuracy, enabling precise block-scale urban heat analysis
- Optimized predictive model outputs, generating custom scenarios on user input in under 3 minutes
- Covered 90% city landscape with verified temperature accuracy within ±0.5–1.5°C
The project addressed fragmented airport systems by bringing together multiple data sources, such as facilities information, parking sensors, terminal and concourse status, baggage flows, and passenger queue metrics, into a single, data standards-compliant, digital platform. It created a clear, spatial view of the entire airport environment by combining real-time operational data with architectural plans and infrastructure layouts, resulting in an unified system that enables the airport teams to access consistent information, coordinate more effectively across functions, and make faster, better-informed decisions in day-to-day operations.
- 8 heterogeneous airport data sources integrated — facilities, parking, baggage, passenger queues, terminal status, GIS, maintenance reports and energy consumption
- Real-time sensors and data feed updated from airport data repository every 30 second interval
- Alerts and flags from field engineers added in real-time and incorporated
- Enabling data interoperability and standardization across all of the integrated airport systems
- Reducing data fragmentation and duplication, and increasing real-time data awareness
- Providing full airport spatial visibility at zone and asset level through Digital Twins and BIM respectively
Built on computer vision and spatial analytics, the platform transforms everyday human interaction into structured, real-time movement intelligence. It captures and processes spatial data continuously, enabling precise assessment of motion, personalised feedback loops, and longitudinal performance tracking across diverse physical activity environments. It supports both immediate interaction and long-term progression by translating raw movement into interpretable metrics and adaptive insights. Designed for integration into apps, games, and immersive digital experiences, it bridges research-grade movement science with scalable interactive systems that operate reliably in real-world conditions.
- COPPA-compliant anonymized movement datasets of 5,000 children to train the Movement Intelligence System
- Unstructured human motion data converted to refined catalogue of movements
- Movement Intelligence System embedded into mobile-based applications and AR systems
- Achieved real-time inference latency under ~100–200 ms per frame
- Optimized continuous motion tracking to 30 FPS capped across devices
- Enabled movement classification accuracy in the 95% range
The project is a real-time augmented reality (AR) experience developed for the Evansville Wartime Museum, designed to enhance visitor engagement through contextual digital overlays and immersive 3D content. It integrates spatially anchored AR layers that reveal additional historical information, narratives, and interpretations directly onto physical artifacts within the museum environment. High-fidelity 3D models of select exhibits enable close inspection and interaction beyond what is physically accessible, while preserving the integrity of the original objects. The experience operates as an on-site digital augmentation, allowing visitors to explore wartime history through a blended physical–digital interface that deepens understanding and interpretive storytelling.
- Multi-exhibit coverage with consistent tracking across 25 artifacts
- On-device implementation for real-time interactions without need for continuous network connection
- Markerless tracking with <2 sec initialization time per exhibit
- Achieved spatial anchoring accuracy within 15 cm for stable AR overlays on physical artifacts
- Supported real-time AR rendering at 30 FPS capped across mobile devices
- Supported self-guided exploration through intuitive AR interactions within the museum environment
The project is a large-scale digital twin implementation developed for the St. Louis Municipality, delivering a comprehensive bird’s-eye reconstruction of the urban environment. It leverages city infrastructure metadata to generate a pragmatic heightmap, forming the foundational spatial layer of the model. This is followed by a structured segmentation of key urban features, including roads, bus and metro lines, parking infrastructure, buildings, parks and leisure zones, and major landmarks, each enriched with semantic and visual detail. Building on this, a high-fidelity layer introduces near-photorealistic textures, enabling users to explore St. Louis as a visually rich, satellite-like reconstruction. The result is an integrated digital environment that supports intuitive spatial understanding, urban analysis, and immersive city-scale visualization.
- Multi-source geospatial datasets incorporated from open-data resources of City of St. Louis (GIS, infrastructure metadata, satellite imagery)
- 8 core urban feature layers (amenities & parking spaces, buildings, green spaces, power unit components, roads, bus lines, railway lines, landmarks)
- High-fidelity textured models optimized for real-time visualization
- Generated city-scale 3D reconstruction covering 100% of the municipal area
- Reduced raw geospatial data complexity by 60% through optimized meshing and LOD pipelines
- Maintained consistent spatial alignment across all layers with sub-meter positional difference
The project is a real-time XR reconstruction of central Dublin as it stood during Easter Week 1916, combining historically accurate 3D streetscapes with archival content and spatial storytelling. It layers audio narration and first-person perspectives from key figures directly onto the reconstructed environment, creating an immersive and context-rich experience. Designed to operate both as an on-site AR layer aligned with the present-day city and as a standalone VR installation, the system enables visitors to explore the events of the Rising within a spatially grounded, historically faithful digital environment.
- Historically accurate 3D environment covering key zones of central Dublin
- Multi-source historical datasets integrated (cadastral maps, photographs, archival records, narratives)
- Spatial audio with location-based triggering across multiple narrative points
- Enabled real-time AR rendering at 28 fps across AR mobile devices, and 52 fps on native VR headsets
- Achieved spatial alignment accuracy within 10 cm for on-site AR overlay
- Supported dual deployment modes (on-site AR and standalone VR) within a unified system architecture
Three phases. One engagement. Every Modak project follows this arc: from structured discovery, through the full technology stack, to live deployment and measured outcomes.
Every engagement begins with structured discovery.
We map the environment, the users, the existing systems, and the decision-making structures that determine what you actually need.
Technology comes second.
Select to see what we build there and the technologies we use.
to explore →
Deployment is the beginning of the operational relationship, not the end of the delivery. We train, iterate, and track outcomes against the metrics set in Phase 01 — closing the loop between what was promised and what was delivered.
research and reality.
Spatial computing is one of the most consequential technology shifts of our time. Cities, infrastructure, and institutions are being reimagined through digital twins, immersive interfaces, and sensor-driven environments.
Modak Labs was founded in Abu Dhabi to be at the centre of it — combining research rigour with delivery capability to build systems that work in the real world, for real people. We do this from one of the most ambitious digitalisation markets in the world, with a team that brings international experience and a commitment to measured, evidence-backed outcomes.
university research groups
Built on genuine academic collaboration — our university partners contribute to methodology, rigour, and specialised expertise from day one.
Active internationally.
Founded and headquartered in the UAE, with a team that has delivered projects across Europe, the United States, and Asia. We've worked within the regulatory, cultural, and technical realities of each of these markets firsthand.
what's possible.
Tell us where you want to go — we'll help figure out how to get there.