Decagon AI vs Salesforce Einstein
Decagon AI vs Salesforce Einstein, compared side by side on 19 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: Decagon AI is on 68/100 and Salesforce Einstein on 69/100.
Where each one leads
Decagon AI
- funding raised: $250M against $65.0M
Salesforce Einstein
- domain rating: 92/100 against 72/100
- headcount: 76,453 against 502
At a glance
| Measure | Decagon AI | Salesforce Einstein |
|---|---|---|
| What it is | AI concierge platform for customer interactions. | AI-powered features integrated into Salesforce's CRM platform to enhance productivity and insights. |
| Category | Artificial Intelligence, Customer Service, Agentic AI, Support | CRM, AI Tools & Apps, AI Copilot, AI Chatbot |
| Sells toBusiness model | B2B | B2B |
| Offering | Platform | Platform |
| Founded | 2023 | 2016 |
| Headquarters | San Francisco, United States | San Francisco, United States |
| Status | Active | Inactive |
Size, funding and growth
| Measure | Decagon AI | Salesforce Einstein |
|---|---|---|
| Employees | 502 | 76,453 |
| Total funding | $250M | $65.0M |
| Latest round | late-stage funding | Series C |
| Valuation | $4.5B | Not published |
| LinkedIn followers | 67,999 | Not published |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Decagon AI | Salesforce Einstein |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 68/100 | 69/100 |
| Traction | 60/100 | 59/100 |
| Team | 60/100 | 30/100 |
| Community | 20/100 | 8/100 |
| Search visibility | 36/100 | 36/100 |
| Quality | 78/100 | 89/100 |
| Agent readinessHow well an AI agent can read and act on the site | D (54/100) | D (57/100) |
| Domain ratingLink authority, 0-100 | 72/100 | 92/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Decagon AI | Salesforce Einstein |
|---|---|---|
| Hosting | Vercel | Azure |
| CDN | Cloudflare | Not detected |
| CMS | Webflow | Not detected |
| Frameworks | Not detected | Graphql |
| Analytics | Google Tag Manager, Segment, Facebook Pixel | Not detected |
| Support stack | HubSpot | Not detected |
Decagon AI vs Salesforce Einstein: common questions
Which is better, Decagon AI or Salesforce Einstein?
On our 0-100 score Salesforce Einstein rates higher (69/100 against 68/100). 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 19 data points above: read the rows that match what you are buying for.
How do Decagon AI and Salesforce Einstein compare on the numbers?
Decagon AI leads on funding raised ($250M against $65.0M). Salesforce Einstein leads on domain rating (92/100 against 72/100), headcount (76,453 against 502).
Read the full Decagon AI review and pricing or the Salesforce Einstein review and pricing. You can also browse other Decagon AI alternatives we track.