Agent frameworks, evaluation and observability, governance, and the infrastructure behind production enterprise AI — assessed honestly.
Free implementation guides for SMB operators and enterprise teams — workflows, prompts, governance, and tool stacks built to ship.
AWS's fully managed service for accessing foundation models from multiple providers, with agents, guardrails, and knowledge bases built in.
An enterprise-focused foundation model provider, with strong retrieval, reranking, and multilingual models plus private deployment options.
Databricks' suite for building, governing, and serving production AI — agents, RAG, fine-tuning, and evaluation — on top of your governed data.
An enterprise platform for evaluating, monitoring, and guarding AI agents and LLM applications, including real-time protection against unsafe outputs.
An enterprise AI platform that connects to company apps to power permission-aware search, an assistant, and agents over internal knowledge.
An AI notepad that captures meeting notes from your computer audio without sending a bot into the call.
A low-level orchestration framework for building stateful, multi-step agent workflows with explicit control over state, branching, and human-in-the-loop steps.
An observability and evaluation platform for LLM and agent applications — tracing, datasets, automated evals, and production monitoring in one place.
Enterprise conversational AI agents sold on outcome-based pricing — you pay for resolved issues, not for conversations attempted.
AWS framework-agnostic runtime for deploying, securing, evaluating, and governing production agents at scale.
An ML and LLM observability platform for monitoring model and agent performance, detecting drift, and tracing failures in production.