Keywords AI
The enterprise-grade software to build, monitor, and improve your AI application. Keywords AI is a full-stack LLM engineering platform for developers and PMs.
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What is Keywords AI?
Keywords AI (now rebranded as Respan) is a full-stack LLM engineering platform designed to help developers and product managers build reliable AI products 10x faster. It provides complete observability for AI applications, allowing teams to monitor, optimize, and improve AI performance in a shared workspace. The platform is specifically built for AI agents and LLM engineering teams who need to trace agent behavior, evaluate outputs systematically, and debug production issues quickly.
The platform combines four core capabilities in one unified solution: AI Gateway, Observability, Prompt Management, and Evaluations. Unlike competing tools that focus on single aspects of LLM development, Keywords AI provides everything needed to build, monitor, and improve AI applications without switching between multiple tools. Key features include end-to-end execution path tracing, production trace replay in playground, evaluation workflows combining human review/code checks/LLM judges, version control for prompts/tools/models/workflows, and deployment through a single gateway with access to 500+ models.
Keywords AI is built for AI startups, engineering teams, product teams, and developers working with LLM applications and AI agents. The platform has processed 80 trillion+ tokens and is used by world-class founders and companies like AlphaSense, Retell AI, Gumloop, Lovable, Finta, Mem0, and Giga. It is SOC 2, GDPR, HIPAA, and ISO 27001 compliant, making it enterprise-ready for production environments with enterprise-grade security and scalability.
Keywords AI pricing
Pricing model: Freemium
Keywords AI offers a free tier that is genuinely useful for indie developers and small teams building AI products. The platform has three paid tiers: Starter, Professional, and Enterprise. Enterprise pricing is custom and available for startups, SMBs, and medium-large enterprises needing custom API solutions. The pricing structure emphasizes accessibility at entry level and scales through usage rather than seat count. The platform is designed as infrastructure for AI development teams, with value through operational efficiency rather than per-user licensing.
Keywords AI pros
- Combines AI Gateway, Observability, Prompt Management, and Evals in one unified platform
- End-to-end agent tracing with rich context from real production traffic
- Replay production traces in playground to debug failures in full context
- Compose evaluation flows with code, human, and LLM judges in one workflow
- Version control for prompts, tools, models, and workflow changes
- Access to 500+ models through single AI gateway with routing control
- Promote prompts and workflows directly from UI to production
- Custom dashboards with 80+ graph types for business-specific metrics
- Real-time alerts via Slack, email, or text when quality drifts
- Turn monitoring signals into automated actions and workflows
- 24/7 dedicated support team available around the clock
- Simple setup with integration in minutes using 2 lines of code
- SOC 2, GDPR, HIPAA, and ISO 27001 compliant for enterprise use
- Works with favorite frameworks and tools in existing stack
- Build evaluation datasets from production traces and synthetic cases
- Compare new versions against baselines before shipping
- Bootstrapped company with $1.1M revenue, no venture capital pressure
Keywords AI cons
- Recently rebranded from Keywords AI to Respan, causing potential confusion
- Primarily focused on AI agents and LLM applications, not general SEO keyword research
- Enterprise pricing is custom, not publicly transparent
- May be overkill for very small teams or simple LLM use cases
- Learning curve for setting up comprehensive evaluation workflows
- Requires code integration (Python/TypeScript libraries) for full functionality
- Limited information about free tier usage limits publicly available
- Newer platform compared to established competitors like LangSmith
Frequently asked questions about Keywords AI
What is Keywords AI used for?
Keywords AI is a full-stack LLM engineering platform used to monitor, debug, and improve AI applications and agents. It provides observability for tracing agent behavior, evaluation workflows to assess AI outputs, prompt management with version control, and an AI gateway to deploy across 500+ models. Teams use it to build reliable AI products 10x faster by having complete visibility into performance, costs, latency, and user interactions.
How do I get started with Keywords AI?
Getting started is simple with integration in minutes using just 2 lines of code. First, get an API key from the Keywords AI platform. Then download the tracing package (pip install keywordsai-tracing for Python or npm install @keywordsai/tracing for TypeScript/JavaScript). Initialize the KeywordsAITelemetry client with your API key, and use decorators to trace your LLM applications. You can then see traces in the Keywords AI dashboard.
What makes Keywords AI different from LangSmith or Langfuse?
Keywords AI is the only platform that combines AI Gateway, Observability, Prompt Management, and Evaluations in one unified solution. Unlike Langfuse (open source with harder setup) or tools focusing on single aspects, Keywords AI provides everything needed to build, monitor, and improve AI applications. It has simpler setup complexity, 24/7 dedicated support, and managed hosting rather than open source or enterprise-only hosting.
Is Keywords AI compliant with security standards?
Yes, Keywords AI (Respan) is fully compliant with rigorous international safety and security standards including ISO 27001 for information security management, SOC 2 for secure data management, GDPR for data privacy, and HIPAA with a Business Associate Agreement available for healthcare organizations.
Can I trace agent workflows with Keywords AI?
Yes, Keywords AI provides comprehensive tracing for agent workflows. You can see every step from input to output with rich context needed to debug fast. The platform captures every prompt, tool call, and response with context from real production traffic. You can search, filter, and sort traces by content, latency, cost, quality, tags, and custom metadata, then open any production trace in the playground to replay behavior and debug failures.
How does the evaluation system work?
Keywords AI lets you compose one evaluation flow that runs code, human, and LLM judges in the same workflow instead of maintaining separate pipelines. You define metrics first, then treat every judge as a function inside one evaluation system. You can build and version datasets from production traces, generate synthetic cases, and compare prompts, models, and releases against baselines before shipping.
How many models does the AI Gateway support?
The Keywords AI AI Gateway provides access to 500+ models through a single unified API. The gateway gives you flexible model choice, routing control, and provider abstraction without rebuilding infrastructure. You can deploy prompts, models, and workflows straight from the UI into production with version control and rollout logic.
What monitoring capabilities does Keywords AI offer?
Keywords AI offers custom dashboards with 80+ graph types and metrics to track quality, latency, cost, and product-specific signals. You can monitor production behavior, sample live traffic for online evals, and get alerted in Slack, email, or text when something breaks or drifts. The platform can trigger automations from production signals to build datasets, launch follow-up evaluations, or kick off response workflows automatically.
Who is Keywords AI built for?
Keywords AI is built for developers and PMs working on AI applications and agents. It's specifically designed for AI startups, engineering teams, and product teams who need to trace, evaluate, and ship AI that behaves correctly. The platform is loved by world-class founders, engineers, and product teams at companies like AlphaSense, Retell AI, Gumloop, Mem0, and Lovable.
Does Keywords AI support team collaboration?
Yes, Keywords AI provides easy collaboration in a shared workspace where product teams can collaborate on prompt management and debugging. Teams can monitor, optimize, and improve AI performance together. The platform tracks every change so you always know what changed, when, and why, enabling effective team collaboration on AI development.