UNDP Rome Centre
Presented 'Africa's AI Builders Go Global' detailing the trilateral Italy–India–Kenya corridor. Formally covered in the UN central press release.
Ideas & Essays
Sovereign AI models
Offline-first architectures
African-language infra
Open-source AI economics
Research & Tech Notes
Pure engineering logs, benchmark datasets, and model evaluations.
Model release schedules
ASR/TTS benchmarks
Deployment engineering
Evaluation findings
Field Notes
Empirical observations and operational logs directly from our deployment sites.
Luweero clinical lessons
Agricultural demonstrations
Teacher-facing Ganda evaluation
Device access constraints
Company News
Announcements, organizational updates, and structural milestones.
New model releases
MOU signings & partnerships
Annual anniversaries
Programme milestones
Media & Talks
Recordings, transcripts, and coverage of external public engagements.
France 24 interviews
Atlantic Council features
Deep Learning Indaba panel
World Bank presentations
Events Archive
Record of our physical footprint, speaking dates, and panel transcripts.
Chronological archive
Event locations & dates
Presenter manifestations
01
Why offline-first AI is an architectural principle, not a ceiling
Ideas & Essays
Read essay
02
What a rural clinical deployment taught us about the real AI access gap
Field Notes
Read essay
03
Evaluating cultural context, not just language
Research & Technical Notes
Read essay
04
Building African-language speech systems for real workflows
Research & Technical Notes
Read essay
05
The work came first. Now the identity is catching up.
Company News
Read essay
recognition
UNDP Rome Centre
recognition
Microsoft Research
Recognized among the select LINGUA Africa Open Call awardees for pioneering speech adaptation work across non-resource African languages.
recognition
Deep Learning Indaba 2026
Selected as a flagship Health startup. Featured an exhibition booth, participated in the startup panel, presented at the dataset showcase, and delivered a lightning talk at the Gates Foundation Sustainable...
EDITORIAL DISCIPLINE
CRANE AI LABS PUBLISHING STANDARD
SPECIFICATION
SHARE: LINKEDIN · TWITTER · GITHUB
SUBSCRIBE TO CRANE UPDATES
Accessiblity & Meta
Core metadata and playback requirements
Downloadable raw text transcripts with clear timing offsets
Consent & Context
Ethical capture and on-screen markers
Explicit context markers: Date, location, and key active participants must be on-screen
Poster images required; no video may autoplay with sound enabled
Maturity Classification
Clear deployment vs demonstration labeling
Demonstrations must be classified explicitly as 'Staged' vs 'Live Deployment'
Walkthrough videos must highlight system limits as clearly as capabilities
Concept visualizations must not use mockup indicators that imply active code
Visual Rigor
Authenticity and raw evidence
Offline state must be documented in-frame (airplane mode visible on device)
No theatrical music or filters that obscure actual UI response times
Raw screen recordings must accompany any edited case video as separate files