Convai
Create embodied 3D AI characters with real-time perception for games, XR, and web.
If you're building 3D AI characters that need to see, hear, and react to the world, Convai's MCP tooling and dynamic context features give you real control. But premium pricing and a 3D-only focus means it's the wrong pick for basic text bots. For embodied NPCs, it's one of the most developer-friendly options I've seen.
Verified 10d ago · liveness 61/100 · cite: rightaichoice.com/tools/convai
- Creating AI-powered NPCs for games and XR simulations
- Building interactive virtual brand experiences with lifelike characters
- Developing social virtual worlds with conversational AI agents
- Adding gaze-reactive AI players to Unreal Engine games
- Simple text-based customer service chatbots without 3D avatars
- Non-spatial AI assistants for web or mobile apps without 3D environments
- Users seeking a free or transparent pricing model
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Skip Convai if you need a simple text-based customer service chatbot or a non-spatial AI assistant for web or mobile apps without 3D environments.
Pricing is not published; you must contact sales for a quote, which may surprise small teams used to transparent SaaS pricing.
Convai's pricing is contact-based, which fits mid-to-large studios that need custom solutions and have budget for enterprise negotiation. For indie developers or small teams, this lack of transparent pricing is a turn-off when cheaper, self-serve options exist for simple chat, but for embodied NPCs, no comparable plug-and-play alternative offers the same depth.
In short
Convai — Create embodied 3D AI characters with real-time perception for games, XR, and web. Best for Creating AI-powered NPCs for games and XR simulations, Building interactive virtual brand experiences with lifelike characters, Developing social virtual worlds with conversational AI agents. Contact Sales pricing.
What's new in Convai
Checked 10 days agoAcross the latest 5 updates: 1 feature update and 4 launches.
Create an AI Player That Talks, Acts, and Reads Live Game State in Unreal Engine (Part 1)
Tutorial showing how to build an AI player in Unreal Engine that talks, acts, and reads live game state.
Conversational AI Characters for the Web Browser with the Convai Web SDK, Claude Code, and React Three Fiber
New tutorial integrates Convai Web SDK with Claude Code and React Three Fiber for browser-based AI characters.
Bring AI Characters to Your Mixed Reality Projects on Meta Quest: Convai Unity 6 XR Tutorial
Tutorial for adding AI characters to Meta Quest mixed reality projects using Convai and Unity 6.
Convai MCP for Unreal Engine: Build AI Characters with Codex and Claude Code
Convai MCP for Unreal Engine allows building AI characters using Codex and Claude Code.
Convai Object in Attention: Build AI Players That Know What You're Looking At in Unreal Engine
Convai 'Object in Attention' lets AI players in Unreal Engine know what the user is looking at.
What people actually say about Convai — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
62 mentions across 6 sources (Hacker News, YouTube, Bluesky, Stack Overflow, GitHub, Lemmy) · researched Jul 23, 2026.
Average across the 6 sources that answered — each source counts once, not each post.
- +Real-time multimodal perception sees and hears environment for natural interactions.
- +Unity and Unreal Engine integrations enable easy plugin setup for developers.
- +No-code character creation from browser accessible for non-programmers.
- +Maya on Meta Quest 3 showcases impressive mixed reality AI avatar capabilities.
- +MCP integration allows analytics queries via Claude, Cursor, or Codex.
- −Pricing is opaque with no public tiers, frustrating budget-conscious developers.
- −Black camera issue on Apple Vision Pro remains unresolved.
- −Second Life community strongly opposes generative AI integration.
- −Small GitHub community with limited support and unresolved issues.
- −Stack Overflow presence is negligible with only one relevant post.
- • No public pricing; likely usage-based fees for API calls or cloud hosting that can escalate at scale
Viability Score
How well maintained and how widely used is Convai? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Real-time multimodal perception (see and hear environment)
- Human-like dialogue, voice, gestures, and actions
- Spatial intelligence for 3D awareness
- No-code character creation from browser (Avatar Studio)
- Unity and Unreal Engine plugin integrations
- Unity MCP support for AI-assisted character scripting
- Unreal MCP support for AI-assisted character scripting
- Object in Attention for gaze-reactive NPCs (Unreal Engine)
- Dynamic Context for live game state and scene awareness (Unreal Engine)
- Unity WebGL support for browser deployment
- Three.js and React Three Fiber support for low-latency web avatars
- Unity 6 XR support for Meta Quest mixed reality
- Open APIs and extensive documentation
- Convai Sim for simulation testing
- Bring Your Own LLM integration
About Convai
Convai is a platform for building lifelike 3D AI characters that perceive and interact with virtual environments. It's aimed at game developers, XR creators, brand marketers, and training simulation builders who need more than simple chatbots—characters that see and hear their surroundings, respond with natural dialogue, voice, gestures, and actions, and react to live game state and player gaze. The platform emphasizes embodied AI with spatial intelligence, letting characters understand space and context, not just text. Convai supports no-code creation from the browser via Avatar Studio, plus deep plugin integrations with Unity and Unreal Engine, and also provides a Web SDK for browser-based characters using Three.js, React Three Fiber, or Unity WebGL. New tutorials in the last few months show how to run avatars in-browser via Unity WebGL, build low-latency web avatars with Three.js and React Three Fiber, and even add AI characters to Meta Quest mixed reality projects using Unity 6. Recent additions include MCP (Model Context Protocol) support for AI-assisted character scripting with Codex, Claude Code, and Cursor in both Unity and Unreal Engine, plus Dynamic Context for Unreal Engine that lets characters read live game state and scene awareness, and an Object in Attention system so AI players know what you're looking at. These features make it easier for developers to craft characters that react to the player's focus and the world around them. Developers get open APIs, extensive documentation, and plugin support for popular engines, while brand teams can use Avatar Studio and Convai Sim for rapid prototyping and testing. Convai positions itself differently from conventional chatbot platforms because it focuses on embodied AI—characters that perceive space and react to gaze, context, and real-time events. Pricing is not published on the site, so you'll need to contact sales for specifics. This platform is a strong fit for immersive gaming, XR, and interactive brand experiences.
Behind the Verdict
Convai is a specialized platform for creating embodied AI characters that perceive and interact with 3D worlds. It stands out from generic chatbot platforms by focusing on spatial intelligence—characters that understand their environment, respond to player gaze, and react to live game state. The recent additions of MCP support for Unity and Unreal Engine (enabling AI-assisted scripting with Codex, Claude Code, and Cursor) and Dynamic Context for Unreal Engine (letting characters read live game state) significantly lower the barrier for developers to integrate advanced AI into their projects. The Object in Attention feature further differentiates it, allowing NPCs to know what the player is looking at—critical for immersive social interactions. However, Convai's core value depends on the underlying LLMs; it is essentially a wrapper that provides the embodiment and perception layer. For teams that need only text-based customer service or simple chatbots without 3D avatars, this platform is overkill and overpriced. Its pricing is contact-based, which may deter smaller indie developers or hobbyists looking for transparent costs. Additionally, heavy voice and vision usage may consume credits quickly, and the free tier is limited for production use. Despite these limitations, for game developers and XR creators who want to add lifelike, reactive NPCs, Convai's plugin ecosystem and recent AI-assisted scripting tools make it a strong choice. The Web SDK and support for Three.js, React Three Fiber, and Unity WebGL also open the door for browser-based deployment, broadening its appeal beyond traditional desktop gaming. Alternatives like Character.AI or Replika focus on chat, while Convai is best suited for those who need spatial awareness and environmental interaction. For a small team that already has Unity or Unreal experience, Convai offers a faster path to prototyping embodied AI than building such systems from scratch. However, if your project is a simple FAQ bot or a two-dimensional web chat, you'd be better served by a cheaper, more straightforward solution.
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Real-world workflow fit
Concrete scenarios for the personas Convai actually fits — and what changes day-one when you adopt it.
You're building an RPG in Unreal Engine 5 and want NPCs that react to player gaze and remember past conversations.
Outcome: With the Unreal Engine plugin and Dynamic Context, you can set up an NPC that reads live game state and uses Object in Attention to know when the player looks at it, creating a more immersive encounter within a few days.
You need a virtual patient for medical students to practice interviews in a mixed reality environment.
Outcome: Using the Unity 6 XR support for Meta Quest, you deploy an AI avatar that sees and hears the student, responds with realistic dialogue, and can be trained to simulate various patient conditions, all within a week of prototyping.
You want a brand ambassador avatar on your website to engage visitors in conversation and guide them through products.
Outcome: Using Avatar Studio's no-code tools and the Web SDK, you create a lifelike avatar and deploy it in a browser scene with Unity WebGL or Three.js, enabling visitors to interact with it directly on your site without a mobile app.
Use Cases
- Create lifelike NPCs that converse with players in Unreal Engine 5 games
- Build mixed reality training simulations where AI avatars roleplay customer or patient interactions
- Deploy a brand avatar on a website using pixel streaming to engage visitors in conversation
- Develop a virtual tour guide that sees and responds to user gestures in VR
- Enable social VR worlds with AI characters that remember past conversations and adapt
- Run an AI avatar in a browser using Unity WebGL for interactive web experiences
Models Under the Hood
as of 2026-08-30
Limitations
- The platform requires integration with game engines like Unity and Unreal Engine, and heavy voice/vision usage may consume credits quickly.
- The free tier is limited and may not be sufficient for production, and context window for character memory is limited, requiring explicit dynamic context configuration.
- Pricing is not publicly available; you must contact sales for a quote.
as of 2026-08-28
Verification history
We have re-verified Convai 18 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 18 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Convai's pricing actually pencils out — and where peers do it cheaper.
Convai's pricing is contact-based, which fits mid-to-large studios that need custom solutions and have budget for enterprise negotiation. For indie developers or small teams, this lack of transparent pricing is a turn-off when cheaper, self-serve options exist for simple chat, but for embodied NPCs, no comparable plug-and-play alternative offers the same depth.
Setup time & first value
How long it actually takes to get something useful out of Convai — broken out by persona, not the marketing-page minute.
For developers, expect 1-3 days to get a basic avatar running in Unity or Unreal using the plugins and tutorials; for no-code creators using Avatar Studio, you can have a test avatar within hours. Full integration of advanced features like Dynamic Context may take a few more days depending on your game's architecture.
Switching to or from Convai
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Inworld: Convai's plugin approach and MCP support for Unity/Unreal give you similar embodied AI capabilities, but you'll need to re-create your character designs and state logic in Avatar Studio.
- ↗To Inworld: If you need more out-of-the-box integrations with game engines beyond Unity/Unreal, migrating your character definitions and event triggers may require rebuilding the perceptive logic in Inworld's tools.
Integrations
Resources & Guides
- Resourceconvai.com
How to Add Custom and Parameterized Actions to Convai AI NPCs in Unreal Engine 5: Phase 2 Guide
Helpful link from convai.com
- Resourceconvai.com
How to Build Convai-Powered AI NPC VR Projects in Unity for Meta Quest: Full Setup Guide
Helpful link from convai.com
- Resourceconvai.com
How to Set Up Hands-Free AI NPC Conversations in VR with Convai and Unreal Engine 5
Helpful link from convai.com
- Resourceconvai.com
Convai Analytics MCP: Query Your Session Telemetry with Claude, Cursor, Codex, or Any MCP Client
Helpful link from convai.com
- Resourceconvai.com
Meet Maya: Photorealistic 3D AI Avatar You Can Talk to in Mixed Reality on Meta Quest 3
Helpful link from convai.com
- Resourceconvai.com
How to Make AI NPCs Act on Your Commands in Unreal Engine 5 with Convai: Prompt-to-Action and Dynamic NPC Actions Guide
Helpful link from convai.com
- Resourceconvai.com
How To Build Mixed Reality Ai Characters In Unity With Convai On Meta Quest 2026
Helpful link from convai.com
- Resourceconvai.com
How To Use Dynamic Context In Convai To Build Ai Characters That React In Real Time
Helpful link from convai.com
Tutorials & Learning
Official links
Tools that pair well with Convai
Common stack mates teams adopt alongside Convai, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Convai vs Toolhouse
Choose Toolhouse if you need an autonomous AI worker to handle repetitive business tasks like email follow-ups, document processing, and lead qualification without coding. Choose Convai if you're building interactive 3D characters for games, XR, or brand experiences that need to see, hear, and react in real-time. They solve completely different problems.
Convai vs Notable
Notable and Convai serve entirely different markets: Notable automates healthcare workflows (patient access, RCM, care ops) for large health systems, while Convai builds lifelike 3D AI characters for games and XR. Your choice depends on domain — pick Notable if you are a healthcare enterprise seeking to reduce denials and staff workload; pick Convai if you need interactive NPCs with real-time perception for virtual worlds.
Convai vs Poke Interaction Co
Choose Poke if you need a personal AI assistant to manage email, calendar, and tasks from your chat apps, especially if you want proactive automations or real human help for errands. Choose Convai if you're building AI characters for games, XR, or brand experiences that need to see, hear, and interact in 3D spaces—their no-code tools and Unity/Unreal integrations make it easy. There's no overlap; your use case dictates the winner.
Alternatives to Convai
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Frequently Asked Questions
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