BuildConsumer Hardware
Underwater camera app rebuilt from crash-prone to category-defining
Challenge
A scuba hardware company's companion app was killing device sales. It crashed 5x daily, destroyed dive photos, and developers refused to touch the codebase. The hardware was solid but the software, the soul of the product experience, was a liability.
Solution
Crew ran a full 1.5-year rebuild with 5-6 engineers. AI post-capture pipeline for deblurring, recolouring, and upscaling. Depth-adaptive UI tested at 80 metres. Decompression safety timers and self-guided onboarding kept divers safe and confident.
5x/day → <1/mo
Crash rate after rebuild
AI pipeline
Outperforms $400 360-cams
Global expos
Orders surged post-launch
BuildConsumer AI
Sub-second voice AI companion with 3D avatar
Challenge
A consumer AI startup needed real-time voice-to-voice conversation with emotionally adaptive 3D avatars and persistent memory. The initial architecture had 15 to 30 second response delays. Streaming, memory filtering, and GPU constraints all blocked the sub-second target.
Solution
4 engineers including an AI lead built a ZeroMQ microservice pipeline, integrated Unreal Engine, and deployed a quantized 34B model in 4-bit for sub-second voice response.
30s → ~1s
Voice response latency
34B 4-bit
Quantized model in production
2 platforms
Mac and Windows shipped
ScaleInfrastructure Inspection
Scalable 360° stitching and LiDAR infrastructure inspection
Challenge
An infrastructure inspection company needed to process massive 360° imagery datasets synchronised with LiDAR point clouds and ESRI maps. Proprietary tools were costly, lacked LiDAR support, and couldn't handle scale. Processing 10K images took around 24 hours. Uploads over 500GB failed regularly.
Solution
A self-managed crew built an event-driven pipeline with chunked uploads, FFmpeg stitching, auto-scaling GPU burst, and unified LiDAR/ESRI overlay viewing for real-time inspection.
24h → ~5min
10K image processing time
97%
Success rate on 500GB uploads
~60% lower
Storage cost reduction
DeliverRecruitment Technology
Unified recruitment engine across 10+ ad platforms
Challenge
A recruitment-tech company needed one system to launch, track, and sync hiring campaigns across 10+ advertising platforms, each with different APIs, targeting formats, and rate limits. Manual workflows couldn't scale. Data was inconsistent and reporting was unreliable.
Solution
Crew delivered a centralized orchestration layer with algorithmic data normalization and a hybrid batch/real-time sync system to keep pipelines aligned across platforms.
10+
Ad platforms integrated
1 input
Deploys across all platforms simultaneously
BuildEdTech
Sound-proof learning bubble for classrooms, built for a Danish startup
Challenge
A Danish edtech startup needed a system that creates noise-free learning environments for students with ADHD, autism, and concentration difficulties. The core technical problem was connecting multiple headphones to a single teacher microphone with zero perceptible latency and real-time noise cancellation.
Solution
A crew delivered OS-level multi-threaded audio broadcasting, RNNoise-based noise cancellation, and a teacher-facing touchscreen interface for seamless classroom control.
35%
Grade improvement in attention-deficit students
100+ schools
Deployed across Denmark
1,000+
Benefitted from the system
