Applied Compute vs LangChain
Applied Compute vs LangChain, compared side by side on 22 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: Applied Compute is on 64/100 and LangChain on 76/100.
Where each one leads
Applied Compute
- headcount growth: +332.9% against +260.4%
LangChain
- our overall score: 76/100 against 64/100
- domain rating: 86/100 against 53/100
- headcount: 312 against 28
- funding raised: $260M against $102M
- LinkedIn following: 514,641 against 4,517
At a glance
| Measure | Applied Compute | LangChain |
|---|---|---|
| What it is | Builds custom AI models and 'Specific Intelligence' agent workforces for enterprises using proprietary data. | The platform for building reliable AI agents and LLM applications. |
| Category | Agentic AI, AI Agent, Foundation Model, Enterprise Software | Agentic AI, AI Agent, Foundation Model, Large Language Model |
| Sells toBusiness model | B2B | B2B |
| Offering | Platform | Platform |
| Founded | 2022 | 2022 |
| Headquarters | San Francisco, United States | San Francisco, United States |
| Status | Active | Active |
Size, funding and growth
| Measure | Applied Compute | LangChain |
|---|---|---|
| Employees | 28 | 312 |
| Headcount growthLast 12 months | +332.9% | +260.4% |
| Open roles | 295 | Not published |
| Total funding | $102M | $260M |
| Latest round | Series A | Not published |
| Valuation | $100M | $1K |
| LinkedIn followers | 4,517 | 514,641 |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Applied Compute | LangChain |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 64/100 | 76/100 |
| Traction | 55/100 | 60/100 |
| Team | 70/100 | 70/100 |
| Community | Not published | 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 | D (40/100) | D (42/100) |
| Domain ratingLink authority, 0-100 | 53/100 | 86/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Applied Compute | LangChain |
|---|---|---|
| Hosting | Vercel | Not detected |
| CDN | Vercel | Cloudflare |
| CMS | Ghost | Webflow |
| Frameworks | Next.js, Tailwind CSS | Not detected |
| Analytics | Not detected | Google Tag Manager, Plausible |
| Support stack | HubSpot | Not detected |
| Open source | No | Yes |
Applied Compute vs LangChain: common questions
Which is better, Applied Compute 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 22 data points above: read the rows that match what you are buying for.
How do Applied Compute and LangChain compare on the numbers?
Applied Compute leads on headcount growth (+332.9% against +260.4%). LangChain leads on our overall score (76/100 against 64/100), domain rating (86/100 against 53/100), headcount (312 against 28), funding raised ($260M against $102M), LinkedIn following (514,641 against 4,517).
Read the full Applied Compute review and pricing or the LangChain review and pricing. You can also browse other Applied Compute alternatives we track.