Ojin

What Ojin does

Ojin builds a platform that runs generative AI in real time, at sub-200ms latency, on a globally distributed GPU fabric that scales from one user to millions. It powers conversational AI, human agents, interactive video, and world models. The company offers unified APIs and modular SDKs, with framework-agnostic support for Pipecat and LiveKit. Ojin is designed for affordability, desirability, and effortless use, providing secure, compliant, and private solutions by default, adhering to standards like EU AI Act, GDPR, PDPL, SSO, and SCIM. Their infrastructure is up to 20x more cost-efficient than legacy real-time stacks, enabling builders to ship in minutes and enterprises to run at scale. Ojin specializes in hosting and optimizing models for real-time use cases, achieving low latencies through its globally distributed inference cloud and hybrid-cloud infrastructure that finds optimal GPUs in real time.

Products

• Human AgentA complete conversational AI agent with a realistic visual avatar. It includes STT, LLM, voice, and face bundled, browser-native, and ready in minutes. It offers two modes: Ojin Agent (Ojin handles everything) and Third-Party Agent (bring your own speech-to-speech provider, Ojin adds the face).
• Oris PresenceThe most lifelike face model available, offering maximum expressiveness for experiences that need to truly resonate. It is Ojin's flagship face model, providing a fully expressive, generative presence with rich expressions and natural movement, including hands.
• Oris PortraitA fast, scalable, and cost-effective face model with sub-200ms latency. It transforms a single reference image into a natural animated persona with audio-synchronized lip movements and expressions, up to 720p. It can be plugged into any pipeline via WebSocket.
• Ojin Model APIA simple, framework-agnostic HTTP/WebSocket endpoint for driving Ojin's real-time face models from custom stacks.
• ojin-client SDKA Python SDK for driving Ojin from custom code, streaming synchronized talking-avatar video from TTS audio.
• pipecat-ojin packageAn integration package to drop an Ojin face into a voice agent, turning a voice agent into a video-call avatar by sitting after TTS and lip-syncing to it.

Key capabilities

• Real-time AI
• Generative AI
• Speech AI
• Multimodal AI
• Developer Platform
• Blazing fast APIs
• Sub-200ms latency
• Globally distributed GPU fabric
• Unified APIs
• Modular SDKs
• Framework-agnostic (Pipecat, LiveKit support)
• Secure, compliant, and private by default
• EU AI Act compliance
• GDPR compliance
• PDPL compliance
• SSO & SCIM
• Up to 20x more cost-efficient
• One Image. Instant Agent.
• Human-like AI agents at production-friendly cost
• Integrates Anywhere
• High-Quality Templates
• Natural lip-sync, micro-expressions, and real-time emotions
• Easy Embedding into any Website
• API-first approach
• Optimised for real-time
• Scalable hybrid-cloud infrastructure
• Real-time streaming (ultra-low-latency WebSocket and WebRTC)
• One-shot personas (from a single reference image)
• Auto-scale infrastructure
• Competitive per-minute pricing with no commitments

Use cases

• Conversational AI
• Human agents
• Interactive video
• World models
• Customer Support (personalized 24/7 support)
• Sales (greet, qualify, and convert leads)
• Education (interactive tutors)
• Onboarding & Training (conversational AI for employee learning)
• Brand Ambassador (always-on, always-on-brand digital representative)
• Healthcare (empathetic virtual health assistants)

AI approach

Ojin provides a platform for real-time generative AI, specializing in creating human-like AI agents with ultra-low latency. They optimize models for real-time use cases, leveraging a globally distributed GPU fabric and hybrid-cloud infrastructure. Their offerings include end-to-end conversational AI agents and real-time face models (Oris Portrait and Oris Presence) that can be integrated into custom pipelines. They focus on synchronizing video and audio frames for natural interactions.

Tech named: Real-Time AI, Generative AI, Speech AI, Multimodal AI, GPU fabric, hybrid-cloud infrastructure, STT, LLM, TTS, WebSocket, WebRTC, Python SDK, Pipecat, Daily, Cartesia, Deepgram, Groq, Modal

What it says sets it apart

• Blazing fast APIs for real-time Artificial Intelligence
• Affordable, desirable, effortless by design
• Platform that runs generative AI in real time, at sub-200ms latency
• Globally distributed GPU fabric that scales from one user to millions
• Unified APIs. Modular SDKs. Framework-agnostic, with first-class support for Pipecat and LiveKit
• Secure, compliant, and private by default, with EU AI Act, GDPR, PDPL, SSO, and SCIM
• Up to 20x more cost-efficient than legacy real-time stacks
• Specializes in hosting and optimizing models for real-time use cases
• Globally distributed inference cloud for low latency
• Hybrid-cloud infrastructure finds the optimal GPU in real time and passes the savings on to you
• One-shot persona creation from a single image, no training required
• Real-time streaming with ultra-low-latency WebSocket and WebRTC transport
• Auto-scaling infrastructure for uninterrupted service
• Highest quality and most lifelike face models (Oris Presence, Oris Portrait)