DevOps for LLM apps, unifying observability, evaluation, and gateway management.
Product memo
Developers building LLM applications use Respan to manage their AI infrastructure. It unifies observability, evaluation, prompt optimization, and an LLM gateway, simplifying the complex stack needed for production AI. This integrated approach removes the friction of stitching together disparate tools for monitoring and improving LLM performance.
For who
Developers building LLM applications
Solves what
DevOps for LLM apps: observability, evaluation, and gateway management.
- LLM Gateway
- Observability & Logging
- AI App Evals
In their own words
Respan
LLM Engineering Platform
Unify observability, evals, prompt optimization, and your LLM gateway in one platform.
Commercial cues
Model
subscription
Free tier
Yes
Trial
No
Pricing Strategy
- • A free tier removes adoption friction for individual developers and small projects.
- • Custom Enterprise pricing addresses the unique needs of large-scale AI operations.
Operator context
Founded
Apr 2026
Platform
Web app
Audience
Developers
Public footprint
+3 more footprint links
Tech stack
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Vc Growth
- Effort
- Complex Stack
About Respan Gateway Expand
Respan provides a specialized DevOps platform for developers building and deploying large language model (LLM) applications. It addresses the unique challenges of taking AI products to production by unifying critical functions: observability for monitoring performance, evaluation for model quality, and prompt management for optimization.
This integrated approach helps teams simplify their LLM development lifecycle, moving beyond the limitations of general-purpose DevOps tools. Respan's positioning targets the growing need for purpose-built infrastructure in the rapidly evolving AI landscape.