Pushing the edge of what's possible

Beyond the Obtainable

We build at the intersection of spatial computing, AI intelligence, and development automation — tools and experiences that didn't exist until now.

Explore Ticket Intelligence See Our Work ↓
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AR / VR
Experiences

We design and build immersive spatial applications — from WebAR that runs in a browser to full VR environments. Gesture-driven, gesture-aware, and built for the hardware your users actually own.

01
🥽

WebAR Experiences

Browser-native augmented reality using MediaPipe hand tracking and Three.js rendering. No app install required — your users just open a link.

WebXR · Three.js · MediaPipe
02
🤌

Gesture Interfaces

On-device ML gesture recognition with sub-frame latency. Designed for low-end hardware — if it runs on a Galaxy A03 Core, it runs everywhere.

MediaPipe · On-device ML
03
🌐

3D World Building

Procedural dungeon generation, PBR materials, dynamic lighting, and particle systems — all running in WebGL at smooth framerates on mobile browsers.

Three.js · GLSL · WebGL
04
📱

Mobile-First XR

Spatial experiences optimised for the devices most people carry. We target mid-range Android as a baseline — because democratised XR is better XR.

Android · iOS · Progressive

Tools That
Build Tools

We automate the friction out of software delivery — from incident triage to deployment pipelines. Every tool we ship follows one rule: reduce manual steps to zero.

$ ti analyse IT-2847

▸ Embedding issue...
▸ Searching 202 org tickets + SPARK corpus
▸ Ranking by recency × similarity

✦ Top match IT-1203 94% similar
"Kafka consumer lag spike on EU cluster"
Resolved by @sarah.okonkwo — 23 days ago

✓ Best person to contact
Sarah Okonkwo · 4 similar resolutions

⚡ War room
Creating #ti-IT-2847 on Slack...
✓ Invited 3 domain experts
✓ AI analysis posted as first message

$
01

Zero-step incident triage

Alert fires → Jira ticket created → intelligence pre-filled → strike team assembled. No manual steps, no context switching.

02

Forge-native Jira integration

Runs inside Atlassian's security perimeter. Your data never leaves. Deployed via Atlassian Marketplace with one click.

03

GitHub & GitLab auto-tracking

P1 created → tracking issue auto-opened in your repo with AI analysis in the body. First on the Atlassian Marketplace to do this.

04

Agent-ready architecture

Register an agent endpoint and let AI resolve issues autonomously — with human approval gates and full audit trail.

05

Slack & Teams war rooms

One click from incident to war room. Multi-domain experts invited automatically. AI analysis posted as the opening message.

Now on Atlassian Marketplace

Your Org's
Incident
Memory

  • Surfaces historical matches from your org's resolved tickets — ranked by recency and semantic similarity
  • Identifies the best person to contact based on who actually solved similar issues before
  • Assembles a Slack or Teams war room instantly with all the right domain experts
  • Compares against the Apache SPARK/Kafka public corpus for cross-org intelligence
  • Forge-native — runs inside Atlassian's security boundary, per-org data isolation guaranteed
  • FinOps caps, manual sync, and full connector dashboard built in
Ticket Intelligence · IT-2847 Active
Your Org · 3 matches found
IT-1203 Kafka consumer lag spike
94% match · 23 days ago
▸ SPARK corpus
IT-891 EU cluster replication delay
76% match · 61 days ago
Best person to contact
SO

Sarah Okonkwo

4 similar resolutions · Platform Eng
AI Analysis
Pattern matches consumer group offset reset following topic partition rebalance. Previous resolution applied lag compensation in consumer config.
00
Stage 00 — retired Stage 01 — active

Stage Zero

A quick translation, because this one lives a few layers down. Most of what we make is software you can open in a browser. Stage Zero was the opposite — a hardware research track. It looked at the physical foundation that high-end chips are built on: not the processor you'd recognise on a spec sheet, but the groundwork underneath it that quietly decides how fast the next generation is even allowed to go.

We weren't designing a chip. We were trying to call a direction — the way the most powerful processors would have to be packed tighter and wired differently to keep getting faster. The kind of shift you only see clearly once a flagship graphics card or AI accelerator ships it, and the rest of the industry spends two years calling it obvious.

By the time our read was clean, that future had already turned up in shipping silicon. The top-tier parts were moving in exactly the direction we'd sketched — which, for a research bet like this, is the best outcome there is. You don't keep proving a thesis the market has already cast in hardware. So we shelved Stage Zero, kept what it taught us, and started building one layer up.

Stage Zero is retired. Stage One is where we are now.
Stage One — revealing soon · the part we didn't shelve
202+
Org tickets indexed
and searchable
< 2s
Time to surface
similar incidents
0
Manual steps to
assemble a war room
Spatial experiences
yet to be built

Let's Build
Something

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