Avatars vs Research AI moats
Research AI has the wider moat: an average of 56 out of 100 against 52 for Avatars AI, 4 points apart. They rank 21st and 23rd of 29 AI markets. Research rates a narrow moat and Avatars no moat. Avatars is stronger on ecosystem; Research on switching costs and habit and retention. Research is less crowded, with a saturation of 14 against 15 for Avatars. On FalcoScan's data Research is both better protected and less crowded.
Side by side
The two markets on FalcoScan's moat rating, crowding and threats. The better figure of each pair is in bold; for crowding, threats and the no-moat share, lower is better.
| Measure | Avatars | Research | Better |
|---|---|---|---|
| Moat rating | No moat | Narrow moat | |
| Average moat | 52 of 100 | 56 of 100 | Research, by 4 points |
| Rank among AI markets | 23 of 29 | 21 of 29 | Research, by 2 places |
| Main moat | Hard to copy | Hard to copy | |
| Products with a wide moat | 0% | 3% | Research, by 3 points |
| Products with no moat | 60% | 26% | Research, by 34 points |
| Saturation (crowding) | 15 | 14 | Research, by 1 point |
| Wrapper exposure | 0% | 1% | Avatars, by 1 point |
| Platform dependency | 21 | 23 | Avatars, by 2 points |
| Products rated | 73 | 142 |
Moat sources
Each source and threat on a 0 to 100 scale, averaged across each market and rated against all AI markets.
Avatars, filled · Research, dashed
Where Avatars is stronger
- Ecosystem+8
Where Research is stronger
- Switching costs+10
- Habit and retention+7
Widest moats in each market
The five products with the highest moat score in each market, shown as bands. Exact scores are on paid plans.
Widest moats in Avatars
- 01Inworld AI NPCsAI NPC and character platform for game developersNarrow moat
- 02Convai AI CharactersAI-powered real-time conversation for game charactersNarrow moat
- 03Metahuman Animator UE5AI-powered performance capture for MetaHumans in Unreal Engine 5Narrow moat
- 04Soul Machine Digital HumansInteractive autonomous digital humans for enterprise CXNarrow moat
- 05Tavus Video PersonalizationAI video personalization platform creating unique videos at scaleNarrow moat
Widest moats in Research
- 01Lila SciencesAutonomous AI scientistWide moat
- 02NotCoAI-driven plant-based food formulationWide moat
- 03Open Alex Research APIFree open API for 250 million scholarly works with AI filteringWide moat
- 04InstaDeepDecision-making AI for the enterpriseWide moat
- 05Periodic LabsAI scientist for accelerated researchNarrow moat
More comparisons
Each market against its closest rivals by moat, and against the widest and narrowest markets. The figures are the two average moats.
Avatars against
Questions
Which has a wider moat, Avatars AI or Research AI?
Research AI, with an average moat of 56 out of 100 across 142 rated products, against 52 across 73 in Avatars AI. 3% of Research products have a wide moat, against 0% in Avatars.
Is Avatars AI or Research AI more crowded?
Research is less crowded, with a saturation of 14 against 15 for Avatars. Saturation runs from 0 to 100 and measures how crowded a market is. On FalcoScan's data Research is both better protected and less crowded.
How do the moats of Avatars AI and Research AI differ?
Both markets' main moat is hard to copy. Avatars leads on ecosystem (+8). Research leads on switching costs (+10) and habit and retention (+7).
Is Avatars AI or Research AI more exposed to wrappers?
Research AI: 1% of its products could be rebuilt on a public model quickly, against 0% in Avatars AI.
Which Avatars and Research AI products have the widest moats?
In Avatars: Inworld AI NPCs, Convai AI Characters and Metahuman Animator UE5. In Research: Lila Sciences, NotCo and Open Alex Research API. Exact moat scores for every product are on FalcoScan's paid plans.
Cite and share
Quote a figure, link to the comparison or take the data for every market.
FalcoScan, “Avatars vs Research AI moats”, data updated 9 October 2026. https://falcoscan.com/moats/compare/avatars-vs-research
@misc{falcoscan_moats_compare_avatars_vs_research_2026,
author = {{FalcoScan}},
title = {Avatars vs Research AI moats},
year = {2026},
month = oct,
howpublished = {\url{https://falcoscan.com/moats/compare/avatars-vs-research}},
note = {Data updated 9 October 2026}
}<a href="https://falcoscan.com/moats/compare/avatars-vs-research">Avatars vs Research AI moats (FalcoScan)</a>
Every market’s moat rating, average, sources, threats and saturation, as a CSV or as Markdown with the method and definitions. Free to use with a citation.
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