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AI and LLM Observability
Optimize, Secure, and Explain AI Systems with Full-Stack Observability
Comprehensive AI and LLM Observability
Ensure peak performance, reliability, and compliance for your Generative AI applications, Large Language Models (LLMs), and AI-driven agents with Ascent, Apica’s intelligent observability platform.
Seamless Integration Across AI Ecosystems
Apica Ascent integrates with the entire AI stack, supporting:
- OpenAI, Anthropic, Cohere, Mistral, HuggingFace, and more
- Cloud AI platforms: Azure OpenAI, Google AI Studio, Amazon Bedrock, Vertex AI
- On-premises and open-source models like Ollama and GPT4All
Optimize AI Performance & Cost Reduction
- Monitor token costs, request latency, and system performance in real time with intuitive dashboards
- Leverage AI-driven insights to predict and mitigate cost spikes before they impact budgets
- Pinpoint slow responses, errors, and inefficiencies in LLM interactions with trace analysis
- Automate workflows to maintain optimal AI performance and reliability
Enhance AI Trust & Security
- Detect hallucinations, bias, and prompt injection attacks before they cause harm
- Prevent PII leakage, toxicity, and compliance violations with automated guardrail monitoring
- Strengthen AI governance with real-time visibility into model behaviors and security risks
Explainability & End-to-End AI Traceability
- Gain full visibility into AI request execution, spanning orchestration, caching, and model layers
- Track dependencies across LLMs, Retrieval-Augmented Generation (RAG), and AI agents
- Use AI-powered root cause analysis to resolve failures before they impact users
Ensure AI Compliance & Sustainability
- Maintain a full audit trail of inputs and outputs for regulatory adherence
- Visualize AI performance and behaviors to prove compliance
- Monitor infrastructure efficiency to support carbon-reduction initiatives
