Dust vs LangChain
Dust vs LangChain, compared side by side on 20 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: Dust is on 64/100 and LangChain on 76/100.
Where each one leads
Dust
- headcount growth: +500.0% against +260.4%
LangChain
- our overall score: 76/100 against 64/100
- agent readiness: 42/100 against 32/100
- domain rating: 86/100 against 73/100
- headcount: 312 against 143
- funding raised: $260M against $15.0M
- LinkedIn following: 514,641 against 36,142
At a glance
| Measure | Dust | LangChain |
|---|---|---|
| What it is | Platform for building and deploying custom AI agents connected to company knowledge and tools. | The platform for building reliable AI agents and LLM applications. |
| Category | Agentic AI, AI Agent, Foundation Model, Large Language Model | Agentic AI, AI Agent, Foundation Model, Large Language Model |
| Sells toBusiness model | B2B | B2B |
| Offering | Platform | Platform |
| Founded | 2022 | 2022 |
| Headquarters | Paris, France | San Francisco, United States |
| Status | Active | Active |
Size, funding and growth
| Measure | Dust | LangChain |
|---|---|---|
| Employees | 143 | 312 |
| Headcount growthLast 12 months | +500.0% | +260.4% |
| Total funding | $15.0M | $260M |
| Latest round | Seed | Not published |
| Valuation | Not published | $1K |
| LinkedIn followers | 36,142 | 514,641 |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Dust | LangChain |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 64/100 | 76/100 |
| Traction | 56/100 | 60/100 |
| Team | 70/100 | 70/100 |
| Community | 10/100 | 20/100 |
| Search visibility | 61/100 | 84/100 |
| Quality | 68/100 | 83/100 |
| Agent readinessHow well an AI agent can read and act on the site | F (32/100) | D (42/100) |
| Domain ratingLink authority, 0-100 | 73/100 | 86/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Dust | LangChain |
|---|---|---|
| Hosting | Google Cloud | Not detected |
| CDN | Not detected | Cloudflare |
| CMS | Not detected | Webflow |
| Frameworks | Next.js | Not detected |
| Analytics | Not detected | Google Tag Manager, Plausible |
| Open source | Yes | Yes |
Product and pricing
| Measure | Dust | LangChain |
|---|---|---|
| Key features | Custom AI Agent Building, Context-Aware Infrastructure, Universal Access Layer, Advanced AI Model Support, Enterprise-Grade Security & Compliance, Multi-tool Agent Capabilities | Not published |
What users say
| Measure | Dust | LangChain |
|---|---|---|
| Community ratingVisitor votes on StartupHub | 1.0/5 from 1 vote | Not published |
Dust vs LangChain: common questions
Which is better, Dust or LangChain?
On our 0-100 score LangChain rates higher (76/100 against 64/100). 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 20 data points above: read the rows that match what you are buying for.
How do Dust and LangChain compare on the numbers?
Dust leads on headcount growth (+500.0% against +260.4%). LangChain leads on our overall score (76/100 against 64/100), agent readiness (42/100 against 32/100), domain rating (86/100 against 73/100), headcount (312 against 143), funding raised ($260M against $15.0M), LinkedIn following (514,641 against 36,142).
Read the full Dust review and pricing or the LangChain review and pricing. You can also browse other Dust alternatives we track.