Products

EidoStack is a professional workspace for developers and AI engineers to chat with, evaluate, compare, and select AI models for their applications. It provides a single interface for working with models from multiple AI providers, allowing users to chat with different models, test prompts, compare responses side by side, and understand how different models behave under the same conditions. EidoStack helps teams evaluate AI models not only by response quality, but also by practical metrics such

Ironlane.ai is an AI inference router — a single OpenAI-compatible gateway between your application and the major LLM providers. You don't pick an AI provider. You pick a priority: Price, Latency, EU data residency, or Reliability. Ironlane.ai scores every request against live provider data and routes it to the best match, with automatic cross-provider failover if one degrades mid-stream — no retry logic in your code. Migration is a one-line change: point your base URL at Ironlane.ai and keep y

Thalium is a Brain-as-a-Service platform that gives applications persistent memory, structured reasoning, and governance via a single API call.Most AI-powered applications are stateless — every call starts from scratch, with no memory of prior decisions, no domain context, and no audit trail. Thalium changes this by wrapping large language model compute in a full cognitive chain: intent classification, memory retrieval, confidence-gated reasoning, and an immutable audit log — all triggered by on

Scaia LLMOps is an enterprise-grade platform designed to manage the full lifecycle of large language models (LLMs). It enables businesses to efficiently deploy and integrate LLMs into their production environments, streamlining processes such as corpus ingestion, prompt engineering, model fine-tuning, knowledge integration, application development, deployment, monitoring, and continuous optimization. Key Features and Functionality: - Corpus Processing and Knowledge Vectorization Storage: Manag

AgentOrbit is a powerful observability tool designed to enhance the reliability and performance of AI agents by providing comprehensive monitoring and debugging capabilities. By seamlessly integrating between your AI agent and the Large Language Model (LLM) provider, AgentOrbit captures every request and response, offering a clear, readable interface that enables teams to identify and address issues efficiently. With a simple setup requiring only two configuration lines and no additional SDKs, A

InsightDLM is a comprehensive framework designed to help organizations develop and deploy domain-specific language models (SLMs and LLMs) tailored to industries such as insurance, retail, banking, healthcare, legal, and manufacturing. It offers an end-to-end pipeline that transforms raw enterprise data into fine-tuned, trustworthy language models within a secure environment. Key Features and Functionality: - Data Curation Pipelines: Ingests various data types—including documents, Q&A, glos

Zespan - AI Agent Reliability Platform Zespan gives engineering teams full observability into AI agents running in production. When an agent produces wrong output, costs spike, or a multi-agent workflow fails, Zespan shows exactly what happened, which tool call failed, which prompt caused the regression, which model was called, and what it cost. Distributed Tracing Every agent run is captured as a agentic trace, LLM calls, tool invocations, agent handoffs, and retrieval steps as linked spans w

Humanloop is an enterprise-grade platform designed to assist teams in building, evaluating, and optimizing applications powered by Large Language Models (LLMs). It integrates prompt engineering, model evaluation, and observability into a unified workspace, supporting both code-based and UI-driven workflows. This enables seamless collaboration between developers, product managers, and domain experts, streamlining the process of refining AI prompts and monitoring model performance in real time. Th

Kiwop's LLMOps service is designed to transition machine learning (ML) projects from experimental stages to full-scale production, ensuring that AI models operate efficiently and reliably in real-world environments. By implementing robust infrastructure and engineering practices, LLMOps addresses the challenges that often prevent ML projects from reaching production, such as inadequate deployment strategies, lack of monitoring, and uncontrolled operational costs. Key Features and Functionality:

Acrux Core is an all-in-one LLMOps platform that helps engineering teams build, manage, and optimize AI applications with prompt versioning, tracing, and model routing. Deploy changes instantly without redeploying your app while monitoring performance, costs, and quality from one dashboard.

Cloudidr LLM Ops is an AI FinOps platform designed to provide finance and AI teams with comprehensive visibility and control over their AI expenditures. By offering real-time tracking of every dollar spent on AI—categorized by team, project, and model—Cloudidr enables organizations to manage budgets effectively and prevent overspending. Its intelligent cost optimization features can reduce AI expenses by up to 90%, ensuring that resources are utilized efficiently without compromising performance