Skip to content

AlexCUzz/OptiStreamAI

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

OptiStreamAI

AI-Powered Data Quality and Observability for U.S. Video Streaming

OptiStreamAI is a streaming-native data quality and observability platform built for U.S. video streaming companies. It catches data-quality regressions that generic observability tools (Datadog, New Relic, Splunk) and rule-based DQ tools (Great Expectations, Soda) miss — using an ensemble of Isolation Forest, ARIMA, and Prophet models tuned for streaming workloads.

Built and maintained by Ronex Solutions LLC d/b/a OptiStreamAI · Florida, USA · Founder: Alexander Motylev


This repository contains three deliverables

AlexCUzz/OptiStreamAI/
├── index.html · styles.css · script.js     ← marketing landing page (/)
├── pilot/                                   ← pilot application page  (/pilot/)
│   ├── index.html
│   ├── styles.css
│   └── script.js
├── app/                                     ← live dashboard demo     (/app/)
│   ├── index.html
│   ├── styles.css
│   └── app.js
└── docs/
    └── screenshots/                         ← reference UI screenshots

Marketing site — /

The public-facing landing page that sells the platform. 12 sections: hero, trust strip, problem, four modules, how-it-works, evidence, pricing, founder, CTA, FAQ, footer.

Pilot application page — /pilot/

A focused conversion page for the 14–30 day free technical evaluation. Singular goal: get U.S. streaming companies from outreach link to submitted application. Includes an 8-field application form, day-by-day timeline, "who we accept" filter, 8-question FAQ, and a personal founder signature.

The form supports URL-parameter pre-filling for personalized outreach:

https://alexcuzz.github.io/OptiStreamAI/pilot/?name=Slava&company=Rumble&source=founder

Live dashboard demo — /app/

A fully interactive 5-view prototype of the OptiStreamAI platform with deterministic synthetic data:

  • Dashboard — Real-time data-quality KPIs
  • Ingestion — 28-stream live monitoring with terminal logs
  • Anomaly Detection — Ensemble ML scoring + root cause analysis
  • Incidents — Pipeline correlation map + suggested runbooks
  • Feedback — Investigation timeline + model retraining loop

Press T anywhere to start a built-in 2-minute auto Demo Tour with on-screen captions — designed for screen-recording product demos. Or open /app/?tour=1 to auto-start the tour on page load.


Run locally

git clone https://github.com/AlexCUzz/OptiStreamAI.git
cd OptiStreamAI
python3 -m http.server 8000

Then:


Deploy to GitHub Pages

  1. Repo → SettingsPages
  2. Source: Deploy from a branch · Branch: main · Folder: / (root)
  3. Wait ~60 seconds

Live URLs once enabled:

URL Page
https://alexcuzz.github.io/OptiStreamAI/ Marketing site
https://alexcuzz.github.io/OptiStreamAI/pilot/ Pilot application
https://alexcuzz.github.io/OptiStreamAI/app/ Dashboard demo
https://alexcuzz.github.io/OptiStreamAI/app/?tour=1 Auto-tour

Or deploy to Vercel / Netlify / Cloudflare Pages — all support static-site deployment with zero configuration. Drop the repo onto any of them and add a custom domain like optistreamai.com.


Tech stack

  • Front-end: Vanilla HTML5 + CSS3 + ES6 JavaScript (no React, Vue, Angular, frameworks of any kind)
  • Charts: Chart.js 4.4.1 (MIT, public CDN, used only by the dashboard demo)
  • Fonts: System UI stack (no web-font dependencies)
  • Data: Client-side deterministic PRNG (seeded for reproducibility)
  • No build step. No package manager. No backend.

The production OptiStreamAI platform extends this UI with a Python 3.11 backend (FastAPI) implementing actual ML models (scikit-learn Isolation Forest, statsmodels ARIMA, Meta Prophet), BigQuery / Snowflake / Databricks data adapters, and Kafka / Kinesis streaming consumers. Deployed via Docker + Kubernetes — cloud-agnostic (AWS, GCP, Azure, or hybrid).


Apply for the pilot

We're accepting 5 pilots per quarter. The 14–30 day technical evaluation is free, requires only non-production data, and delivers a written technical report regardless of whether you continue.

To apply:


License

This source is published for evaluation and demonstration purposes by Ronex Solutions LLC d/b/a OptiStreamAI. All rights reserved. Contact hello@optistreamai.com for commercial licensing inquiries.


Contact

  • Founder: Alexander Motylev
  • Email: hello@optistreamai.com
  • Calendly: calendly.com/optistreamai/pilot-intro
  • LinkedIn: linkedin.com/in/alexandermotylev
  • Ronex Solutions LLC d/b/a OptiStreamAI · Florida, USA

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors