Our work

The Problem, What We Built, and What Changed

Selected work across mobile, web, software and AI. Each case study leads with the constraint the client was actually stuck on — not the feature list — and ends with a number. Client names and metrics are placeholders until each study is approved for publication.

250+ projects delivered20+ industries95% client retention

DatingReact Native · Node · AWSMatchmaking

MatchPoint — Location-based Dating App

Problem: Discovery slowed to a crawl past a few hundred thousand profiles, and the match feed felt random to users in dense cities.
Solution: A geospatial index with a scored ranking pipeline, cached candidate sets, and a feedback loop that learns from swipe and reply behaviour.
Result: Delivered measurable gains across key performance metrics.

180 msMatch feed latency

+24%Day-7 retention

+31%Reply rate

aptentech / console

MatchPoint — product interface

Music streamingSwift · Kotlin · GoPlayback

SoundDrift — On-demand Music Streaming Platform

Problem: Track start times crept past three seconds on mid-range Android devices, and skip rate climbed with every extra second of wait.
Solution: A rebuilt playback pipeline with pre-fetch, edge caching, a tuned bitrate ladder and connection warming, measured against a real device matrix.
Result: Delivered measurable gains across key performance metrics.

180 msTrack start time

+24%Skip rate

2.0×Session length

aptentech / console

$ aptentech pipeline --live
✓ events processed · 42k/hr
✓ queue · 18 awaiting review
→ auto-resolved 91.4%

SoundDrift — product interface

Video streamingWebRTC · LL-HLS · GCPLow latency

StreamBox — Live Event Streaming Platform

Problem: Live streams ran twenty seconds behind broadcast, so viewers learned the result on social media before seeing it on the platform.
Solution: A low-latency HLS pipeline with regional edge ingest, redundant encoders and automatic failover, with chat synchronised to the video clock.
Result: Delivered measurable gains across key performance metrics.

180 msGlass-to-glass latency

1.8×Peak concurrent viewers

−28%Stream uptime

aptentech / console

StreamBox — product interface

Fuel deliveryReact Native · Node · IoTDispatch

FuelRun — On-demand Fuel Delivery Platform

Problem: Dispatch was manual, so drivers criss-crossed the city and each completed roughly six deliveries a shift against a target of eleven.
Solution: Automated batching and route optimisation with time-window clustering, live re-sequencing on new orders, and a driver app rebuilt for single-handed use.
Result: Delivered measurable gains across key performance metrics.

2.1×Deliveries per shift

1.8×Miles per delivery

−28%On-time rate

aptentech / console

FuelRun — product interface

FitnessReact Native · Python · AWSRetention

FitTrack — Personal Training and Coaching Platform

Problem: Members dropped off within the first three weeks because programmes never adjusted to how a session actually went.
Solution: An adaptive programme engine that reads completed sets, reported effort and missed sessions, then adjusts the next week automatically.
Result: Delivered measurable gains across key performance metrics.

+18%30-day retention

1.8×Sessions completed

2.0×Coach hours saved

aptentech / console

$ aptentech pipeline --live
✓ events processed · 42k/hr
✓ queue · 18 awaiting review
→ auto-resolved 91.4%

FitTrack — product interface

TravelFlutter · Node · PMS APIGuest platform

TravelMate — Multi-property Guest Experience App

Problem: Each property ran its own booking process, so a guest with three stays across the group had three disconnected experiences and no shared loyalty record.
Solution: A unified guest app synced to the PMS and channel manager across every property, with mobile check-in and one loyalty record group-wide.
Result: Delivered measurable gains across key performance metrics.

+18%Mobile check-in adoption

+24%Repeat booking rate

−38%Support tickets

aptentech / console

TravelMate — product interface

Food deliveryReact Native · Node · AWSBatching

FoodFlow — Multi-restaurant Delivery Marketplace

Problem: Dispatch assigned one order per courier, so peak-hour delivery cost was unsustainable and late orders spiked every Friday evening.
Solution: Batching with time-window clustering and live re-sequencing, plus prep-time prediction so couriers arrive as food is ready rather than waiting at the counter.
Result: Delivered measurable gains across key performance metrics.

2.1×Deliveries per courier hour

−31%Cost per delivery

−28%On-time rate

aptentech / console

FoodFlow — product interface

AIPython · RAG · AzureCopilot

InsightAI — Analyst Research Copilot

Problem: Analysts spent hours locating and summarising information spread across research notes, filings and internal reports before any actual analysis began.
Solution: A retrieval-grounded assistant over internal document stores with citation links back to source, plus an evaluation set the team scores every release against.
Result: Delivered measurable gains across key performance metrics.

−35%Research prep time

+24%Answer accuracy

3.0×Weekly active analysts

aptentech / console

$ aptentech pipeline --live
✓ events processed · 42k/hr
✓ queue · 18 awaiting review
→ auto-resolved 91.4%

InsightAI — product interface

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