Convai
Convai builds embodied 3D AI characters that see, hear, and act inside Unity, Unreal Engine, and XR experiences.
For teams shipping NPCs or training simulations, Convai's engine-level depth solves problems general chatbot builders don't know exist — Dynamic Context and Object in Attention read live game state and player gaze in Unreal, and Convai Actions scripts behavior rather than dialogue in Unity. Pick it if you're in Unity or Unreal and your characters need spatial awareness. Skip it if the deliverable is a text interface; you'd be paying for a 3D stack you won't use, and a plain LLM API or a text chatbot builder covers that ground.
Verified 10d ago · liveness 72/100 · cite: rightaichoice.com/tools/convai
- Game studios building NPCs that react to player gaze, game state, and scene context in Unity or Unreal
- XR teams creating conversational characters for mixed reality training and social worlds
- L&D and simulation builders running AI roleplay training for enterprise or education
- Manufacturing and industrial trainers who need expert knowledge at the point of work
- Teams that need a plain text chatbot without 3D avatars or spatial context
- Projects with no Unity, Unreal, or Web SDK engineering capacity on hand
- Web or mobile assistant apps where perception and embodiment add nothing
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Convai if your users never inhabit a 3D scene or look at anything — for a text-only help widget or website assistant, a plain LLM API or a text chatbot builder is cheaper and faster.
Convai's pricing fits teams whose volume aligns with the published tiers. Compare against the alternatives listed below for stage-specific value.
In short
Convai — Convai builds embodied 3D AI characters that see, hear, and act inside Unity, Unreal Engine, and XR experiences. Best for Game studios building NPCs that react to player gaze, game state, and scene context in Unity or Unreal, XR teams creating conversational characters for mixed reality training and social worlds, L&D and simulation builders running AI roleplay training for enterprise or education. Contact Sales pricing.
What's new in Convai
Checked 9 days agoAcross the latest 10 updates: 8 feature updates and 2 news mentions.
Custom Convai Actions in Unreal Engine: Build an AI Player That Picks Up and Places Objects (Part 2)
Second part of a tutorial on custom Convai Actions for object pickup and placement in Unreal Engine.
Multiple AI Characters in One Unity Scene: How Convai Decides Who the Player Is Talking To (Part 1)
Convai explains turn-taking logic for multiple AI characters sharing one Unity scene with a single player.
Convai Scene Tagger: Tag an Entire Unreal Engine Level for AI Characters
Convai Scene Tagger lets developers tag a full Unreal Engine level for AI characters in minutes.
AI Roleplay Training Platforms: What the Research Actually Says
Convai reviews published research on AI roleplay training platforms and their measured outcomes.
Industrial AI Assistant for Manufacturing Training: Expert Knowledge at the Point of Work
Convai pitches an industrial AI assistant delivering expert knowledge at the manufacturing point of work.
AI VR Training Simulation: What the Evidence Actually Shows
Convai summarizes research evidence on VR training simulations for enterprise learning use cases.
Connect AI Characters to External Tools and Systems with MCP
Convai adds MCP support so AI characters can call external tools and systems.
Convai In-Context Knowledge Bank: Multimodal Knowledge for AI Characters
Convai In-Context Knowledge Bank lets AI characters draw on multimodal knowledge in context.
Create Interactive AI Characters for Games and Virtual Worlds in Unity with Convai Actions
Walkthrough of building interactive Unity AI characters that act on commands via Convai Actions.
Convai Unity MCP: Build AI Characters in Unity with Codex, Claude Code, and Cursor
Convai Unity MCP lets developers build AI characters in Unity from Codex, Claude Code, or Cursor.
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: October 2026
How we score →Key Features
- Real-time multimodal perception — characters see and hear their surroundings
- Human-like dialogue, voice, gestures, and contextually appropriate actions
- Spatial intelligence: characters understand and react to 3D environments
- No-code character creation in the browser with Avatar Studio
- Convai Sim for testing and prototyping character-driven scenarios
- Unity plugin for shipping conversational AI characters in games
- Unreal Engine plugin with AI players that talk, act, and read live game state
- Dynamic Context for live game state and scene awareness (Unreal Engine)
- Object in Attention: AI characters know what the player is looking at (Unreal)
- Convai Actions for scripting interactive AI character behavior in Unity
- In-Context Knowledge Bank for multimodal knowledge grounding
- MCP support to connect AI characters to external tools and systems
- Unity MCP integration to build characters from Codex, Claude Code, and Cursor
- Web SDK with React Three Fiber for browser-based conversational characters
- Open APIs and developer documentation
About Convai
Convai is a platform for building embodied 3D AI characters that perceive the space around them and respond with voice, gestures, and actions. The company's premise is blunt: humans understand the world through a body, so a character that reads a scene and reacts to it feels more present than a text box bolted onto a game. The build path is three steps — craft the character's mind, embody it in an avatar, then deploy into your own environment. Two audiences get served here. Creators work in Avatar Studio and Convai Sim, both no-code and browser-based, assembling roleplay avatars and spatial experiences without opening an engine. Developers get Unity and Unreal Engine plugins, a Web SDK with React Three Fiber, open APIs, and documentation for shipping those characters into live games and virtual worlds. Recent releases sharpen the developer story. Convai Actions lets Unity developers script what characters actually do, not just say. Dynamic Context landed for Unreal Engine, letting an AI player read live game state and scene awareness, with a companion tutorial walking through an AI player that talks, acts, and reads that state. The In-Context Knowledge Bank grounds characters in multimodal knowledge, MCP support connects them to external tools and systems, and Unity MCP plus the Web SDK now support building from Codex, Claude Code, and Cursor. Convai's August 2026 blog also pushed into training evidence and an industrial assistant that puts expert knowledge at the point of work. Where Convai sits against the field: general-purpose chatbot builders give you a conversation and a text window, while Convai gives you a character that knows what it's looking at and where it's standing. That specificity costs you — it's 3D-first, engine-centric work. If your product is a help widget on a website, this is the wrong tool and a far more expensive one than you need.
Behind the Verdict
Convai's differentiator is embodiment, and it is not a marketing word here. Characters built on the platform take multimodal input — they see and hear the surrounding scene — and respond with dialogue, voice, gestures, and actions that fit where they're standing. That loop runs through engine plugins rather than a chat window, which is why the tool feels overbuilt for website assistants and appropriate for games and XR.The strongest recent additions are on the developer side. Actions lets Unity developers script interactive character behavior so a character does something rather than only saying something. Dynamic Context for Unreal Engine gives an AI player access to live game state and scene awareness, and Object in Attention lets it know what the player is looking at. Together those three turn an NPC from a talking prop into a participant, and the companion tutorial showing an AI player that talks, acts, and reads live game state is the clearest illustration of the intended pattern.The In-Context Knowledge Bank addresses the other half of believability — grounding. A character that knows your product, process, or scenario is more useful than one that improvises, and multimodal knowledge grounding lets you supply that material rather than hoping the model absorbed it. MCP support extends this outward, letting characters call external tools and systems instead of only reciting what they were told.Tooling for builders has expanded as well. Unity MCP and the Web SDK now support authoring from Codex, Claude Code, and Cursor, which means a developer can scaffold character logic from the coding assistant they already use. The Web SDK with React Three Fiber covers browser delivery, and Unity WebGL plus Meta Quest cover the shipped-runtime side.Where it strains: Convai is engineering work. No-code Avatar Studio and Convai Sim lower the entry point, but a production deployment still runs through engine plugins, MCP wiring, or the open APIs, and someone has to author the mind, the knowledge, and the context hooks. Teams without Unity, Unreal, or Web SDK capacity will stall. And the value is entirely bound to the use case — if your users never see a scene, perceive nothing spatially, and just want answers, every perception and embodiment feature is dead weight.
Researching Convai? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas Convai actually fits — and what changes day-one when you adopt it.
Install the Unity plugin, create a character in Avatar Studio, and use Convai Actions to script how it reacts when the player approaches rather than only what it says.
Outcome: An NPC that behaves contextually in-engine instead of cycling canned lines.
Stand up a roleplay scenario in Convai Sim, ground the character with the In-Context Knowledge Bank using your own training material, then deploy into a mixed reality headset build on Meta Quest.
Outcome: A repeatable roleplay trainer that answers from your material, runnable without a live facilitator.
Connect via Unity MCP and scaffold the character logic from Claude Code, Codex, or Cursor, then wire external tool calls through Convai's MCP support.
Outcome: Character behavior authored inside the coding assistant you already work in, with the character able to reach outside systems.
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
- Give manufacturing trainees an industrial AI assistant with expert knowledge at the point of work
- Script an Unreal AI player that reads live game state and acts on what it sees
Models Under the Hood
as of 2026-09-15
Limitations
- The platform is built around game-engine and web integration (Unity, Unreal Engine, Three.js/React Three Fiber, Unity WebGL, Meta Quest XR).
- No-code creation is offered through Avatar Studio and Convai Sim, but full use still involves engine plugins, MCP-based tooling, or open APIs.
- Expect real authoring work on the character's mind, its knowledge base, and its context hooks — Dynamic Context and Object in Attention surface game state, but you have to connect them to something meaningful.
- Convai's own August 2026 writing frames AI roleplay training and VR simulation value as evidence-dependent, which is a fair signal that outcomes rest on scenario design rather than the platform alone.
- The pricing and developer documentation pages were not reachable during this refresh, so cost and API specifics are not stated here.
as of 2026-09-28
Verification history
We have re-verified Convai 20 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 20 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
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 fits teams whose volume aligns with the published tiers. Compare against the alternatives listed below for stage-specific value.
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.
Creators: an afternoon in Avatar Studio and Convai Sim to get a talking avatar behaving in a preset scenario. Developers: roughly a day to install the Unity or Unreal plugin and get a character responding in-engine, longer once Dynamic Context, Actions, or the Knowledge Bank need wiring to your game state and content.
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 a generic chatbot API: move the conversation layer into Avatar Studio, then attach the Unity or Unreal plugin so the character perceives the scene.
- →From hand-written NPC dialogue trees: replace branching scripts with Convai Actions and Dynamic Context so the character reads live game state instead of following authored paths.
- →From an in-house LLM wrapper: keep your prompt material, load it into the In-Context Knowledge Bank, and use MCP to reconnect the external tools you called yourself.
- ↗To a text-only chatbot builder: strip the avatar and scene layers and port your knowledge base, accepting the loss of gaze, gesture, and game-state awareness.
- ↗To a direct LLM API: rebuild dialogue on raw model calls if your characters never needed perception or embodiment — cheaper, but you own voice, gesture, and spatial logic.
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
YouTube returned 6 videos for “Convai”, and we withheld 6: 6 could not be judged, because “Convai” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Convai.
Official links
Tools that pair well with Convai
Common stack mates teams adopt alongside Convai, with the specific reason each pairing earns its keep.
Unity Mcp
Coplay is an AI agent that works inside the Unity editor, turning plain-English prompts into finished game development tasks.
Spline
Browser-based 3D and 2D design tool for building real-time interactive experiences you can ship to web, iOS and Android.
ComfyUI
ComfyUI is an open-source, node-based engine for AI image, video, audio, and 3D generation where every model and pipeline step is an inspectable node on a
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
View all
Frequently Asked Questions
Best-of guides
Used Convai? Help shape our editorial sentiment research.