Arcten

Name: Arcten
Brand: Arcten

AI Native

YC F25

Est 2025|Raised $500K

LinkedIn 116|Website|FTEs 3|HQ San Francisco, California, US

MarketsAgent Frameworks LLM Observability

01Competitive Landscape

Narrative analysis

- **Arcten vs LangSmith:** LangSmith is positioned around tracing, evaluation, and monitoring for LLM applications; Arcten positions itself as an embedding-and-runtime option. Teams may combine an embedding/runtime solution with a specialized eval/tracing tool. - **Arcten vs Voiceflow:** Voiceflow targets CX and multi-channel deployment scenarios; Arcten is framed more around in-application embedding via SDKs. - **Arcten vs CopilotKit:** CopilotKit targets developer-centric copilots with published pricing; Arcten emphasizes runtime, analytics, and embedded UI, though independent proof points are limited.

Market share and adoption trends

No credible market-share figures for Arcten were found. Given the company’s recent formation and relatively small team, adoption appears limited and is not broadly reported.

	Arcten	LangSmith (LangChain)	Voiceflow
Starting Price	Free hobby tier and published paid tiers for startups and larger customers (vendor-published pricing available)	Free developer tier with usage-based fees; published per-seat commercial plans available	Free starter tier; commercial credit-based plans and published paid tiers available
Appropriate For	SaaS teams embedding in-app copilots/agents with runtime and observability needs	Teams needing tracing/evals/monitoring for LLM applications (particularly LangChain ecosystem)	CX and multi-channel teams building, deploying, and managing agents across chat and voice channels
Key Strength	Integrated agent runtime and embedded UI concept with session replay/analytics included in plans	More established observability and evaluation tooling with transparent trace-based pricing	Mature agent platform for CX with a credits billing model and collaboration features
Key Weakness	Early-stage; limited independent reviews and public security attestations	Not a comprehensive embedded in-app copilot platform on its own; complements runtimes and SDKs	May be less SDK-first for deep in-app embedding compared with some developer-focused runtimes

01Competitive Landscape

Narrative analysis

Arcten vs LangSmith: LangSmith is positioned around tracing, evaluation, and monitoring for LLM applications; Arcten positions itself as an embedding-and-runtime option. Teams may combine an embedding/runtime solution with a specialized eval/tracing tool.
Arcten vs Voiceflow: Voiceflow targets CX and multi-channel deployment scenarios; Arcten is framed more around in-application embedding via SDKs.
Arcten vs CopilotKit: CopilotKit targets developer-centric copilots with published pricing; Arcten emphasizes runtime, analytics, and embedded UI, though independent proof points are limited.

Market share and adoption trends

No credible market-share figures for Arcten were found. Given the company’s recent formation and relatively small team, adoption appears limited and is not broadly reported.

	Arcten	LangSmith (LangChain)	Voiceflow
Starting Price	Free hobby tier and published paid tiers for startups and larger customers (vendor-published pricing available)	Free developer tier with usage-based fees; published per-seat commercial plans available	Free starter tier; commercial credit-based plans and published paid tiers available
Appropriate For	SaaS teams embedding in-app copilots/agents with runtime and observability needs	Teams needing tracing/evals/monitoring for LLM applications (particularly LangChain ecosystem)	CX and multi-channel teams building, deploying, and managing agents across chat and voice channels
Key Strength	Integrated agent runtime and embedded UI concept with session replay/analytics included in plans	More established observability and evaluation tooling with transparent trace-based pricing	Mature agent platform for CX with a credits billing model and collaboration features
Key Weakness	Early-stage; limited independent reviews and public security attestations	Not a comprehensive embedded in-app copilot platform on its own; complements runtimes and SDKs	May be less SDK-first for deep in-app embedding compared with some developer-focused runtimes