Ktree vs Relevance AI
Ktree vs Relevance AI, compared side by side on 10 data points: what each one does, how big it is, what it has raised, the tech running each site, and what users report. We score both out of 100 on traction, team and visibility: Ktree is on 8/100 and Relevance AI on 53/100.
Where each one leads
Ktree
Leads on none of the measures we hold for both companies.
Relevance AI
- our overall score: 53/100 against 8/100
- agent readiness: 54/100 against 27/100
At a glance
| Measure | Ktree | Relevance AI |
|---|---|---|
| What it is | Ktree provides a no-code platform for building and deploying AI agents and chatbots. | A low-code platform to build, test, and deploy autonomous AI agents and multi-agent teams. |
| Category | Agentic AI, AI Agent, AI Chatbot, No Code | Agentic AI, AI Agent, Multi-Agent Systems, Workflow Automation |
| Sells toBusiness model | B2B | B2B |
| Offering | Platform | Software |
| Founded | Not published | 2020 |
| Headquarters | Not published | Sydney, Australia |
| Status | Inactive | Active |
Size, funding and growth
| Measure | Ktree | Relevance AI |
|---|---|---|
| Employees | Not published | 116 |
| Headcount growthLast 12 months | Not published | -42.0% |
| Total funding | Not published | $12.0M |
| Latest round | Not published | Seed |
| LinkedIn followers | Not published | 42,370 |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Ktree | Relevance AI |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 8/100 | 53/100 |
| Traction | Not published | 55/100 |
| Team | Not published | 30/100 |
| Community | Not published | 8/100 |
| Search visibility | 3/100 | 36/100 |
| Quality | Not published | 58/100 |
| Agent readinessHow well an AI agent can read and act on the site | F (27/100) | D (54/100) |
| Domain ratingLink authority, 0-100 | Not published | 74/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Ktree | Relevance AI |
|---|---|---|
| Hosting | Not detected | Vercel |
| CDN | Cloudflare | Vercel |
| Frameworks | Not detected | Astro, Tailwind CSS |
| Analytics | Not detected | PostHog |
| Open source | No | Yes |
Product and pricing
| Measure | Ktree | Relevance AI |
|---|---|---|
| Key features | Not published | AI Agent Builder, AI Workforce Management, AI Tools Integration, Metadata Capture, Scheduling & Approvals, Knowledge Integration |
What users say
| Measure | Ktree | Relevance AI |
|---|---|---|
| Reddit sentimentThreads we track | Not published | 0 positive, 2 negative across 6 threads |
“Is Relevance AI really as effective at building AI agents or teams as some gurus claim? What have you built so far with this platform?. Hi Reddit, I'm just starting to learn about AI agents, and I came across Relevance AI (mentioned by a fe”r/AI_Agents
Ktree vs Relevance AI: common questions
Which is better, Ktree or Relevance AI?
On our 0-100 score Relevance AI rates higher (53/100 against 8/100). The score weights traction, team, visibility and profile completeness, so it reflects company strength rather than which product suits you. We compare the two on 10 data points above: read the rows that match what you are buying for.
How do Ktree and Relevance AI compare on the numbers?
Relevance AI leads on our overall score (53/100 against 8/100), agent readiness (54/100 against 27/100).
What do real users say about Ktree and Relevance AI?
Relevance AI: 0 positive and 2 negative mentions across 6 Reddit threads we track, mostly in r/AI_Agents.
Read the full Ktree review and pricing or the Relevance AI review and pricing. You can also browse other Ktree alternatives we track.