Olgoo builds AI-native multimedia hubs and digital interactive TV platforms for organizations that need more than a streaming service — they need an intelligent broadcasting infrastructure that understands, indexes, and amplifies every word spoken in any language.
An AI-native platform for building multimedia hubs and digital interactive TV — not a broadcasting tool retrofitted with AI, but an intelligent infrastructure designed from the ground up around language, meaning, and live media.
The platform that understands
what it broadcasts.
Simourgh™ is Olgoo's core product: a complete, AI-native stack for launching and operating multimedia hubs and digital interactive television at any scale, for any language. We build it for clients who need a purpose-built intelligent broadcasting infrastructure — not a generic streaming service.
Where conventional platforms treat AI as a feature layer added on top, Simourgh is built inside-out: every ingest, every stream, every archive segment is simultaneously transcribed, indexed, and made semantically searchable in real time. The platform does not just deliver media — it understands it.
Olgoo deploys Simourgh™ for clients who need a complete, intelligent multimedia infrastructure — not a SaaS subscription, but a purpose-built platform that belongs to them.
Full-stack multimedia hub deployments combining live streaming, video-on-demand, searchable archives, and real-time AI indexing — for media organizations, civil society broadcasters, cultural institutions, and enterprise communications teams.
Interactive television experiences powered by Simourgh's semantic layer — enabling viewers to search, navigate, and engage with live and archived content by meaning. Built for independent broadcasters, niche-language media operators, and next-generation digital TV platforms.
Live and on-demand streaming platforms with real-time bilingual captioning, semantic search, and cross-channel synchronization. Engineered for any language — including low-resource and right-to-left scripts where dominant-language platforms fall short. Our pipeline handles Arabic script, RTL rendering, and code-switching at production scale.
Semantic search and content intelligence layers for existing broadcast operations — enabling natural-language search across live and archived content, automated summarization, chapter generation, and real-time event detection across concurrent streams.
Simourgh's core AI capabilities — real-time ASR, semantic indexing, embedding stabilization, and cross-channel synchronization — are available as licensed APIs for integration into existing media infrastructure or third-party platform builds.
Olgoo partners with academic institutions, government innovation programs, and civil society organizations for joint R&D on multilingual AI media understanding — bringing live production data and validated infrastructure to research partnerships.
There is a fundamental difference between a platform that uses AI and a platform built around AI. Simourgh is the latter.
The distinction matters most at the edges — where conventional platforms break down: live streams in minority languages, real-time semantic indexing, cross-channel event correlation, and multilingual political media at speed.
These are not problems you can solve by bolting a language model onto a conventional streaming stack. They require an architecture where AI understanding is woven into every stage of the pipeline — from first ingest to final query.
Simourgh's six-stage pipeline — Ingest → Transcribe → Diarize → Chapterize → Vector-Index → Query — is designed so that no segment of media enters the system without being simultaneously understood, indexed, and made semantically searchable. By the time a live segment reaches a viewer, Simourgh already knows what was said, who said it, and what it means — in any language.
This is what AI-native means. Not a feature. An architecture.
Every system below is validated in live production — not benchmarks. Built for the hardest case first: real-time multilingual political media in minority languages.
Whisper-based ASR with proprietary multi-vector semantic indexing. Multilingual-capable including right-to-left scripts. End-to-end latency under 3 seconds in live broadcast conditions, validated across hundreds of hours of continuous production.
Natural language search across live and archived broadcasts. Three complementary vector representations per segment with bounded reranking — MRR improved from 0.71 to 0.79 over single-vector baseline. Find any moment by meaning, not keyword.
Proprietary hold/merge/replace/stabilize policy for managing vector embeddings in live streams where transcripts evolve in real time. Solves a fundamental production problem no dominant-language platform has addressed at scale.
Correlates semantically related events across concurrent live broadcasts with a staged validation window. F1 score 0.81 across 3–5 simultaneous streams with inter-stream offsets of 4–25 seconds.
Simourgh's R&D roadmap addresses genuine technical uncertainty at each phase — how to synchronize speech and image understanding, preserve context across modalities, reduce latency, and reason over live multilingual political media in real time.
Olgoo is a Canadian AI-native multimedia startup based in North York, Ontario. We build Simourgh™ — our AI-native platform for multimedia hubs and digital interactive TV — and deploy it for clients. The product, its name, and its design reflect the needs and identity of our customers, not our own views or affiliations.
Olgoo was founded to solve a class of problems that dominant-language AI platforms ignore: real-time multilingual media understanding at production scale, across scripts, dialects, and code-switching patterns that standard models handle poorly. Our R&D is grounded in live production deployments — not research benchmarks — which means our systems are continuously refined by real-world demand.
We build for the hardest case first — low-resource languages, right-to-left scripts, real-time live streams with no margin for latency. The technical solutions we develop in these demanding environments generalize directly to any language, any broadcast format, and any scale of deployment globally.
Olgoo has received two consecutive federal government innovation approvals confirming our AI development represents genuine technological advancement. We are advancing Simourgh from TRL 7 (live operational prototype) to TRL 9 (full commercial deployment), with a patent application in preparation for our proprietary embedding stabilization method.
For new platform builds, API licensing, research collaboration, or enterprise deployment inquiries — we welcome the conversation.