LLMOps - Top Apps & Software
LLMOps platforms manage prompts, evaluation, fine-tuning, monitoring, and cost for large language model applications in production.
Flutch
Flutch deploys and tests AI agents with observability, tracing, quality checks, cost controls, versioning and multi-channel deployment via CLI; supports no-code setup and framework-agnostic integrations.
PromptWaveAI
PromptWaveAI helps users create, organize, and optimize prompts for AI tasks, allowing for improved accuracy and effectiveness in AI-generated outcomes.
Promptic
Promptic helps teams evaluate and optimize GenAI models, prompts, agents, and tool use using their own data and metrics, with tracing for cost, latency, and errors.
ReasonBlocks
ReasonBlocks analyzes AI agent runs, detects inefficiencies, reuses successful reasoning patterns, and optimizes model routing, context, and tool use to reduce costs.
Mentlio
Mentlio tracks and analyzes AI usage, costs, productivity, and team performance, while optimizing model routing, context, tokens, and prompts for engineering teams.
Belvedir
Belvedir is a private AI platform that uses agent traces to train, evaluate, deploy, and improve custom models, memory, and routing on managed or private infrastructure.
Experiential Labs
An open-source AI gateway for accessing, routing, and managing hosted, self-hosted, and custom-key models through one API, with permissions, usage limits, monitoring, and spend tracking.
qRaptor
qRaptor lets users build, connect, deploy, and monitor AI-powered applications and agents using natural-language requirements and a visual development environment.
Bursora
Bursora is an AI spend management app that checks budgets before requests are sent, helping teams limit and monitor costs by customer, agent, workflow, and workspace.
Syrin AI
Monitors AI agents in production, showing traces, tool calls, and drift, with debugging and remote config changes without redeploying.
Polarity
Polarity tests, monitors, and debugs AI agents in production, tracking traces, failures, and evaluation results across multi-step workflows.
Plurai
Plurai helps teams test, monitor, and guard AI agents with synthetic evaluations, validation, and real-time checks to reduce failures, policy violations, and hallucinations.
Tracium.ai
Tool for tracing AI requests, tracking costs, debugging failures, comparing prompts and models, and detecting drift.
Respan
Respan is an LLM observability and evaluation platform that captures execution traces, monitors production AI agents, automates evaluations, and helps teams detect regressions and root causes.
Hicap
Hicap provides enterprise AI infrastructure with reserved GPU capacity, multi-provider model access (OpenAI, Anthropic, Gemini), cost optimization, and usage/cost analytics for production apps.
GTWY.AI
Provides a single API to access, switch, and manage multiple AI/LLM models and providers, with request routing, monitoring, embeddings, cost tracking, and failover controls.
ZeroEval
ZeroEval analyzes agent failures, identifies causes and fixes, lets you search traces, run experiments with production data, and test agents before deployment.
EvalsOne
EvalsOne evaluates and compares LLM prompts and outputs, providing metrics, A/B testing, and version comparisons to guide iterative prompt improvement.
Langwatch
Langwatch is a platform for managing and optimizing Large Language Model applications, offering tools for performance monitoring, risk mitigation, and integration with various LLM providers.
Weave
Weave uses machine learning to assess engineering performance by analyzing PRs for completion time, review quality, and work type.