
Overall Score
14
Top 50%
of AI companies
by TeamSync Software🇺🇸
Deploy AI agents that triage, self-evaluate, and respond to customer issues autonomously. Trusted by 1,200+ support teams.
Twig AI Agents are able to perform action that the typical AI Support Engineer performs. Including answering QnA, Looking up user data, Taking Actions, Making API calls etc. Twig support several interfaces including web, InApp Integrations, Browser Integrations and ticketing tool integrations into...

Overall Score
14
Top 50%
of AI companies
Overall Score
14
GitHub Stars
—
Monthly Visits
9K
Community Rating
5.0
Twig AI Agents are able to perform action that the typical AI Support Engineer performs. Including answering QnA, Looking up user data, Taking Actions, Making API calls etc. Twig support several interfaces including web, InApp Integrations, Browser Integrations and ticketing tool integrations into...
Latest detected signals across traffic, developer activity and community mentions.
Indexed by indexator.ai
Featured on Product Hunt
| Keyword | Volume / Mo | CPC |
|---|---|---|
| twig | 23,080 | $1.10 |
| pylon vs zendesk | 120 | — |
| ai agents advanced zendesk | 50 | — |
| twig ai | 50 | — |
| support tools | 100 | — |
Startup
$5/ ticket
/ monthly
Growth
$4.50/ ticket
/ monthly
Enterprise
Custom
/ monthly
Compare Plans
Custom
/ monthly
Frequently Asked Questions
Custom
Twig AI Agents are able to perform action that the typical AI Support Engineer performs. Including answering QnA, Looking up user data, Taking Actions, Making API calls etc. Twig support several interfaces including web, InApp Integrations, Browser Integrations and ticketing tool integrations into...
Get notified when score, traffic, GitHub or community signals change.
Latest detected signals across traffic, developer activity and community mentions.
Indexed by indexator.ai
Featured on Product Hunt
Six signals, each 0–100, blended into the overall by their listed weight.
Generated from public signals and search intent.
Each dimension is weighted (traffic 20% · community 25% · growth 15% · momentum 15% · innovation 10%) and combined into the overall.
/ yearly
How do you justify ROI?
Custom
/ yearly
| Keyword | Volume / Mo | CPC |
|---|---|---|
| twig | 23,080 | $1.10 |
| pylon vs zendesk | 120 | — |
| ai agents advanced zendesk | 50 | — |
| twig ai | 50 | — |
| support tools | 100 | — |
Custom
Compare Plans
Custom
Solutions
Custom
Saves
74.3K
Rating
5.0
2 reviews
Views
8.0K
Category
Customer support
Pros · 22
Cons · 10
Rating distribution
Supported features
Release history · 2+
Twig launches AI agents for B2B Customer Support. Twig's Agent factory allows customers to create and launch powerful AI agents for the users. These Agents can lookup user specific information, make API calls and take actions. In addition to a sophisticated AI QnA platform with automated evaluations.
Initial release of Twig AI.
Q&A · 21
Twig AI is an Artificial Intelligence powered tool that specializes in delivering accurate and fast technical support through a chatbot. It is designed to provide quick and appropriate answers to users directly from technical documentation.
Twig AI semantically analyzes technical documentation, knowledge bases, and past support tickets to provide accurate responses to complex customer queries. It integrates with popular documentation and knowledge base products to direct customers to relevant answers, thereby reducing the time and cost of customer support.
Twig AI uses AI models to semantically analyze technical documentation, past support tickets and other data sources. These models are trained on publicly available data to identify and provide the most relevant answers to users' complex queries.
Twig AI employs advanced AI models that are trained on publicly available data. It uses semantic analysis technology to read and comprehend technical documentation, knowledge bases, and past support tickets. In addition, Twig AI uses sentiment analysis to help agents notice potential risks in responses.
Twig AI reduces customer support costs by automating tasks that would typically require human involvement. This automation also leads to more accurate response selection, reducing the necessity for further interaction and thus lowering the costs by around 30%.
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