Local
Resident AI is an artificial intelligence system that resides directly on the organization’s infrastructure, keeping all data and processes local. Fully private with very low latency.
Building what’s next
in media intelligence.
ObviousFuture develops AI-Powered solutions
that transform how media is indexed, searched
and understood.
[ Resident AI ]
Resident AI
Offline
Even works in scenarios where no internet connection is available, such as air-gapped setups or field deployments. No third-party API reliance, no single point of failure.
Efficient
Reduce deployment and operational costs with a lean, highly efficient architecture. Lower your environmental impact through significantly reduced infrastructure requirements.
Not edge AI
Unlike Edge AI, which runs small models on small devices, Resident AI offers full AI with capabilities similar to large cloud models. Runs on mid-range professional hardware. No data center necessary.
[ The concept ]
Resident AI Compounds
Current trend
The industry is trending towards ever-larger monolithic models with an explosion of parameters. Increased size seems to be the solution to everything.
[ The models ]
Monolithicmodel
The industry default. One giant model treats every request the same way: every parameter fires on every call, whatever the task. You pay for the whole model every time, and it only fits in a data center.
[ MoE ]
Mixture ofExperts
Our way. A routing model understands the request and activates only the expert built for it; a fusion model delivers the answer. The power of a giant model at a fraction of the compute: fast, precise, and small enough to run on your own hardware.
[ Our architecture ]
Compoundsmodel
Built to scale. Small, specialised models, each one a compound with a job, combined on demand: every request takes its own route through the pieces it needs and comes out complete. More capability per parameter, less hardware per answer, and no giant to feed.
[ Strategic growth ]
Pioneering Resident AI across key sectors
Secure and privacy
Audiovisual on-premise AI highly demanded for real-time analysis combined with absolute security and potential mobility.
Healthcare & Research
On-prem data analysis can enable otherwise compliance-restricted technologies, especially due to regulatory hurdles.
Government
Streamlines and secures critical government functions, from infrastructure management to confidential administrative processes.
[ Cloud AI challenges ]
The challenges of Cloud AI
Modern AI solutions are cloud-dependent, leading to critical challenges for businesses & institutions (esp. government, surveillance, research, medical, media):
your data
external server
training set
payload leaves your perimeter · retention unknown
Data privacy risk
Sensitive data exposed to external servers, might be funneled off for training.
GDPRrestricted
cross-border transfer
HIPAAnon-compliant
PHI on shared cloud
Compliance issues
Regulations complicate cloud usage (GDPR & HIPAA).
power
megawatts
CO₂
tons
cost
millions
Waste of resources
Oversized cloud models waste megawatts of power, produce tons of CO₂ and cost millions to run.
domain-specific modelunavailable
on-prem deploymentunavailable
custom pipelineunavailable
Limited customization
Cloud AI often lacks specialized features.
p50 okp99 unpredictable
Latency & reliability
Unpredictable delays and potential disruptions.
[ The product ]
MeetCaraOne
Resident AI, shipped. CaraOne XT searches, asks and cuts across every connected media system at once, on your own hardware. Describe a moment and get it back with timecodes; ask a question and get an answer grounded in your footage.
