Kodifly’s cover photo
Kodifly

Kodifly

Software Development

We make infrastructure safer and smarter.

About us

Kodifly is a cutting-edge technology company that specialise in LiDAR and camera fusion technology, combined with advanced deep learning algorithms, delivers highly accurate and color-rich 3D models in real-time that enable users to easily detect, analyze and interpret changes in infrastructure and environment. By leveraging our solution, our clients are able to make informed decisions that improve safety, efficiency and operational performance. Our solution is currently being used by several key industry players, with plans to expand into new verticals in the near future.

Website
https://www.kodifly.com
Industry
Software Development
Company size
51-200 employees
Headquarters
Hong Kong
Type
Privately Held
Founded
2021
Specialties
Infrastructure Monitoring, Train Perception, Transport Infrastructure, Digital Twin, LiDAR Perception, and Construction Monitoring

Products

Locations

Employees at Kodifly

Updates

  • DevB's circular TC(W) No. 1/2026 requires all HK capital works contracts above HK$400M, tendered from 1 April 2026, to adopt the Co-supervision Platform for smart construction management. Here's what Kodifly provides against those requirements. ‼️ Continuous 4D LiDAR capture, fixed-point mounting ✅️ K4DL-1000: 720,000 points/second, ±2cm range accuracy at 50m, real-time true color point cloud. Mounts on tower cranes and fixed structures on site. ‼️ Remote visual monitoring (replaces manual inspection) ✅️ K4DL-1000: 5MP global shutter live stream, managed via Kodifly EdgeLink from any device. ‼️ Time series point cloud viewer ✅️ SpatialSense: browser-native 3D viewer with multi-date overlay, shareable to works departments and supervisory staff via URL. No specialist software on the receiving end. ‼️ Dimension and volume measurement ✅️ SpatialSense: measurement tools running on uploaded point clouds, georeferenced at 4cm absolute position accuracy via GNSS/RTK. ‼️ Quality checks on built structures ✅️ SpatialSense: as-built point cloud compared against IFC design model, deviations colour-coded by severity. ‼️ AI Chatbot ✅️ SenseAI: natural language queries across uploaded specs and inspection logs, source document and page cited. Try for free: → kodifly.com / spatialsense.app #DEVB #HongKong #SmartConstruction #LiDAR #ConstructionTech #Kodifly

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  • #SpatialSenseSeries: Part 2 — SenseAI 2.0 🤖 Select 360° images from a road scan and ask SenseAI about cracked pavement. It returns proposed detections with location and severity, pulled from the images you selected. That's what's in this video — a live road scan with surface cracking, and SenseAI's detections overlaid on the imagery. Every detection comes with an accept or reject prompt. Those decisions feed back into the model, so predictions sharpen on your specific site conditions over time. The aim is to cut the time between scan and flagged defect from days to seconds. Try SpatialSense for free: → spatialsense.app #SpatialSense #SenseAI #ConstructionTech #AEC #Infrastructure #Inspection #Kodifly

  • Kodifly reposted this

    #MoU signing with a Major Conglomerate in Pakistan to Pilot SpatialSense and Sifu 🤝🇨🇳🇵🇰 At China-Pakistan ICT Forum, Kodifly has signed a Memorandum of Understanding with Din Industries, one of Pakistan’s premier conglomerates recognized for its diversified portfolio spanning real estate, textile manufacturing, and property development. Through this MoU, we will pilot our #SpatialSense technology and #Sifu platform to drive digital transformation across their property development operations. We thank Mr SM Irfan and Mr SM Imran for their confidence in our technology and a shared commitment to innovating infrastructure. Muhammad Saad Shahid AnwelKodifly #Kodifly #DinIndustries #SpatialSense #Sifu #PropTech #ChinaPakistan75 #DigitalTransformation #Innovation

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  • Kodifly reposted this

    It is a distinct privilege to be invited to the #ChinaPakistan 75th Anniversary High-Level Conference in Hangzhou today. Over the past 75 years, the relationship between China and Pakistan has beautifully bloomed into a robust partnership rooted in shared growth and innovation. I am deeply honored to be in the presence of the Prime Minister of Pakistan, H.E. Muhammad Shehbaz Sharif, and distinguished guests, including the Minister for IT and Telecommunications of Pakistan, Ms. Shaza Fatima Khawaja. Today, Kodifly will be participating in a series of strategic meetings with leading enterprises from Pakistan. We look forward to strengthening our cross-border collaborations and further expanding our presence in the region, building upon the strong foundation of our existing office at #NUST #NSTP. Muhammad Saad Shahid Anwel #Kodifly #ChinaPakistan75 #TechDiplomacy #NUST #NSTP #DigitalTransformation

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  • Kodifly reposted this

    Henry Wong and I are in #Hangzhou for the #ChinaPakistan ICT & Digital Economy Exchange Forum! 🇨🇳🇵🇰 We’re here until May 25th take part in the growing collaboration between the two nations. Grateful to be invited to discuss opportunities in ICT and contribute to this digital transformation. If you're attending the event or are based in Hangzhou, let’s connect. P.S. Hangzhou cusine is absolutely incredible. 🍜 DM me if you're around to grab a quick coffee! Kodifly #Hangzhou #ChinaPakistan75 #TechInnovation #Networking

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  • Kodifly reposted this

    We’ve been running user interviews for the past few weeks. One pattern came up in almost every conversation. Project teams don’t just need a daily progress report. They need the right report — in the format their client, their contract, or their regulator expects. A site in the UAE delivers a method statement. A developer in HK expects a monthly valuation report. A safety officer needs a site-specific safety report. A contractor in Saudi needs a weekly look-ahead. These aren’t the same document. And they shouldn’t be. So we’re building it. Sifu Report Templates — coming soon. You’ll be able to select the report format your project needs: → Daily Progress Report → Weekly Look-Ahead → Monthly Valuation / Progress Claim → Method Statement → Safety Inspection Report → Custom format (define your own fields and structure) Sifu will generate each one automatically from the same WhatsApp data — just structured differently depending on who’s reading it. This is what happens when you build from user interviews, not assumptions. If you’re in early access and have a report format you need that isn’t on this list — reply here or DM me. We’re still defining the template library and real project requirements beat our assumptions every time. getsifu.ai — early access open. #Sifu #ConstructionTech #ProductDevelopment #UserResearch #AEC #ConstructionAI #ProjectManagement #Kodifly

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  • Kodifly reposted this

    Point clouds capture geometry. They miss texture. A LiDAR scan tells you exactly where the slope is — every contour, every surface, to the centimeter. It doesn't tell you what condition it's in. Whether the retaining wall is cracking. Whether the drainage is blocked. Whether the site looks the way the report says it does. That's what the photos are for. But photos without spatial context are just images. SpatialSense converts 360° site photos into photorealistic 3D Gaussian Splat models. Same site. Now with texture, color, and surface detail you can actually read — navigable in a browser, no specialist viewer. Watch the slope site below. The point cloud gives you the geometry. The 3DGS gives you the condition. The 360° imagery lets you retrace the exact path walked on site, frame by frame. Three views. One URL. Every person on the project gets what they need. The engineer measures in the point cloud. The site manager checks conditions in the 3DGS. The client or investor opens a link and actually understands what they're looking at — no training, no software, no translation from technical to human. → spatialsense.app What does your team currently use to communicate site conditions to non-technical stakeholders?# ConstructionTech #LiDAR #GaussianSplatting #PointCloud #SiteInspection #ConditionAssessment #DigitalTwin #AEC #ConTech #BIM #SpatialSense

  • Kodifly reposted this

    Quick update on Sifu. Our own team has been running it on internal projects for the past week. We’re also in active conversations with companies across UAE, Malaysia, Singapore, and Hong Kong. Early pilot users are running it on live sites. We still have a few slots for pilots. The pilot is probably right for your team if: → Field workers are already on WhatsApp — sending photos, voice notes, and updates throughout the day → Someone compiles those messages into a daily or weekly progress report manually → You’re running anywhere from 1 to 20 active sites → You want to try it for 30 days before committing to anything Your field team changes nothing about how they work today. That’s the whole point. → getsifu.ai #Sifu #ConstructionTech #ConstructionAI #ProjectManagement #AEC #WhatsApp

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Funding

Kodifly 2 total rounds

Last Round

Seed

US$ 750.0K

See more info on crunchbase