Ojin vs Scout by Fini: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Ojin and Scout by Fini — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Ojin
Journee Technologies GmbH
Build real-time AI agents with a lifelike face and voice from a single input image, with sub-200ms response latency.
Key features
- One Image to Agent: Create a lifelike, expressive AI agent from a single input photo, with no capture session, rig or 3D asset pipeline.
- Oris Presence Face Model: The flagship, maximally expressive face model for experiences where emotional presence matters more than raw throughput.
- Oris Portrait Face Model: A fast, scalable face model holding sub-200ms latency that can be plugged into any existing pipeline over WebSocket.
- Bundled End-to-End Stack: STT, LLM, voice and face ship together as one browser-native Human Agent, so you do not have to stitch four vendors into a pipeline.
- Human-Feeling Realism: Natural lip-sync, micro-expressions and real-time emotional response, rather than a static portrait with audio attached.
- Framework-Agnostic Model API: A simple HTTP/WebSocket endpoint that works with Pipecat, LiveKit Agents or a custom harness, so everything can be automated and deployed at scale.
- Hybrid-Cloud Cost Routing: A globally distributed inference cloud selects the optimal GPU in real time for cost and latency, with minutes starting around $0.05.
- Compliance and Data Privacy Controls: SOC 2 Type II, GDPR with a DPA available, EU AI Act alignment and Saudi PDPL compliance, with a German legal home.
Best for
- Embedded Website Concierge: Drop a face-and-voice agent into a product site so visitors can ask questions conversationally instead of reading docs.
- Brand and Campaign Experiences: Give a marketing activation a real-time host that speaks the visitor's language and reacts with expression.
- Customer Support Front Line: Handle high-volume, 24/7 first-line conversations with an agent that feels present rather than transactional.
- Training and Role-Play Simulations: Practice sales calls, interviews or clinical conversations against an agent that responds with human timing and affect.
- Interactive Kiosks and Retail: Run a lifelike attendant in-store or at an event where a screen is available but staff are not.
- Custom Voice Pipelines: Use Oris Portrait as the face layer inside an existing Pipecat or LiveKit agent stack while keeping your own LLM and voice choices.
Scout by Fini
Fini AI
Scout is Fini's AI coworker for support teams, resolving tickets across chat, email and voice, including inside Slack.
Key features
- Multi-Channel Resolution: One agent handles voice, chat and email with shared policies and audit trail.
- Helpdesk Integrations: One-click OAuth with Zendesk, Intercom, Salesforce, HubSpot and others without migration.
- Agentic Actions: Performs actions such as searching Stripe charges and issuing refunds.
- Slack Coworker: Scout works with support teams directly inside Slack.
- Knowledge Atlas: Scans knowledge sources nightly on higher plans to stay current.
- Guardrails: Enforces policies for compliance-sensitive teams.
- 130+ Languages: Supports multilingual support operations.
Best for
- Ticket Deflection: Resolving common tickets before they reach a human.
- Billing Support: Handling refunds and duplicate-charge checks via Stripe.
- Voice Support: Answering phone support with AI voice.
- Slack Support Ops: Giving internal support teams an AI coworker in Slack.
- Enterprise Compliance: Automating support in regulated environments.
