Mobile-first intelligence
Exploring systems designed around personal devices, limited compute and low-latency interaction.
Signaturesi Research
Building intelligence that requires less.
Research and technical exploration across mobile-first AI, compact architectures, private memory systems and communication technology.
Energy-efficient AI
Investigating how useful intelligence can require less memory, energy and infrastructure.
Private personal systems
Designing memory and identity systems around controlled access, user ownership and data isolation.
Featured technical report
NEO L1: A Mobile-First Intelligence Architecture
An early technical direction exploring compact language understanding, personal memory and efficient inference designed around a single mobile device.
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NEO Research
NEO L1
Memory
Language
Device
Research library
Technical work and research directions.
Early concepts are clearly labeled and should not be interpreted as peer-reviewed results.
Technical Report
01
NEO L1: A Mobile-First Intelligence Architecture
A technical exploration of compact reasoning, personal memory and efficient AI interaction on mobile hardware.
Research Note
02
Green AI Beyond Parameter Scaling
A research direction examining whether capability can grow through architecture rather than continuous model expansion.
Architecture Note
03
Private Memory Systems for Personal AI
A system design note covering user-specific memory, controlled retrieval and account-level isolation.
Technical Note
04
Identity and Presence Across Bean
An early examination of unified identity, availability signals and communication state across Bean.
Research Note
05
Roman Urdu Understanding for Personal AI
Exploring flexible language understanding for informal, multilingual and mixed-script user communication.
Benchmark Plan
06
Measuring Useful Intelligence per Watt
A proposed benchmark framework for measuring capability, latency, memory usage and energy efficiency together.
Research transparency
Clear labels. Honest limitations.
Signaturesi distinguishes technical reports, research notes, architecture notes, benchmark reports and peer-reviewed papers.
Early research directions may describe proposed systems that have not yet been fully implemented, independently validated or peer reviewed.