Koraiio

Computer vision & edge AI services.

You bring the problem and the hardware it has to run on. We build the AI, make it fit the device, and test it where it will be used. Every project is led directly by our founder.

01

Computer vision development

You have images or video and need software that recognizes what's in them.

We build models that detect, track, count or read what matters in your images and video, and we test them on footage that looks like yours, not just on public benchmarks.

For example

  • Spot and track people, vehicles or objects in a camera feed
  • Find key moments in long recordings
  • Read text, labels or scoreboards from video

You get

  • A plan for the data you need
  • A trained, tested model
  • A clear report of where it works and where it fails

Proof: LTC-SUM and FRC-GIF: recognizing events in video

LTC-SUM architecture. An HLS IIS server holds M3U8 playlists, segment representations and thumbnail containers; the HLS client's thumbnail containers analyzer finds preferred events, requests a summary, and a segments summarizer module assembles the video summary for the HLS player See A personal highlight reel for every viewer, without a server farm →
02

Edge AI deployment

Your model works on a big computer and now has to run on a small one.

We shrink and tune AI models so they run in real time on the device you will actually ship, such as an NVIDIA Jetson, a single-board computer or a web browser, and we measure speed, memory and power on that device.

For example

  • Move a cloud model onto a camera or sensor
  • Cut cloud bills by processing on site
  • Make a system work without a network connection

You get

  • A model optimized for your hardware
  • Speed, memory and power measurements
  • A package ready to install

Proof: EdgeVidSum: live demo on a Jetson Nano at CVPR 2025

Diagram of EdgeVidSum. A video service provider sends thumbnail containers and video segments over the network to a Jetson Nano edge device, where a lightweight 2D CNN uses user preferences to generate timestamps for a personalized fast-forward summary player See Personal video highlights, made on the viewer's own device →
03

Acoustic & sensor AI

The thing you need to detect makes a sound, or shows up in another sensor.

We build systems that recognize sounds and work out where they come from using small microphone arrays, and that combine audio with other sensors. It is the same engineering behind DroSonic.

For example

  • Detect machines, vehicles or drones by sound
  • Locate where a sound came from
  • Combine audio with camera or other sensor data

You get

  • A study of your signals
  • A detector and locator
  • Advice on microphone placement

Proof: DroSonic: drone detection tested against live drones

DroSonic test team at a table of equipment beside a gravel road on a test range, with service members watching the sky See Detecting drones by the sound they make →
04

Video & media pipelines

You handle a lot of video and want smarter, cheaper ways to process it.

Automatic highlights, previews and thumbnails, and the streaming plumbing that moves video between cameras, devices and viewers, designed so the heavy work isn't repeated for every viewer.

For example

  • Personal highlights or previews for each viewer
  • Lower processing cost for large video libraries
  • Streaming setups (FFmpeg, HLS, DASH)

You get

  • A pipeline design
  • A working implementation
  • Throughput and cost figures

Proof: FRC-GIF: about 3.7 times less computing than earlier methods

FRC-GIF process. Input videos such as football, basketball and tennis; user selection of movie and scene; download LTC; extract and rank thumbnails; recognize events; key thumbnails ordering producing personalized thumbnails; then download segments and generate animated GIFs See Thumbnails and GIF previews that match each viewer's taste →
05

Private AI assistants & agents

You want AI assistants or agents, but your data can't go to a public cloud.

We set up language-model assistants and agents that run on your own premises or devices, connected to your documents, with testing and safety checks built in from the start.

For example

  • An internal assistant over confidential documents
  • Automated screening or moderation on site
  • AI agents for a workflow that must stay in-house

You get

  • A private deployment
  • A test set and results
  • Safety and guardrail design

Proof: EdgeAIGuard: AI agents on a Jetson AGX Orin, 93.4% accurate

EdgeAIGuard architecture. An input layer of digital communications, instant messaging and social media platforms feeds an edge processing unit with data ingestion, preprocessing and a message-passing network; Intervention, Context and Sentinel agents use an LLM engine with embedding generation and inference, local history cache and pattern memory, and a protection layer with a threat handler, intervention module and alert system See Catching online threats to children before they escalate →
06

R&D partnering & technical review

You need a research partner, a second opinion or a feasibility answer.

We write the technical parts of research proposals, run short feasibility studies, independently test a vendor's AI claims, and review what has already been published or patented.

For example

  • Technical sections for SBIR and STTR proposals
  • An independent check of a vendor's accuracy claims
  • A go / no-go study before you invest

You get

  • A feasibility report
  • Proposal technical sections
  • An independent evaluation

Proof: Peer-reviewed research and 2 U.S. patent filings

Our research has been published at CVPR and in IEEE and Springer journals, and our work is covered by two U.S. patent filings. We know how to write it up so reviewers can check it.

See the research →

Start small. Decide after each step.

01

Feasibility study

A short, fixed-scope look at whether your problem can be solved on your hardware. You get a written answer and a recommended next step.

02

Prototype build

A working system on your device, tested in realistic conditions and handed over with code and documentation.

03

Research subcontract

A defined piece of technical work inside your SBIR, STTR or larger contract, with deliverables written into the agreement.

We're a good match when…

  • the AI has to run on a device or on your site, not only in the cloud;
  • your data is video, images, sound or another sensor signal;
  • it has to work in real conditions, and you want to know how well before you commit;
  • you want code and a model your own team can understand and run, not a black box.

Government teams and defense primes can work with Koraiio LLC directly. Working with government.

Have a perception problem that has to run on real hardware?

Tell us what you need to detect, where it has to run and what it runs on. You'll get a reply from the founder.

Email gmujtaba@koraiio.com

Email
gmujtaba@koraiio.com
Founder
Dr. Ghulam Mujtaba
Product
DroSonic
Based in
Denver, Colorado