Comprehensive guides and API references for every Inwire.ai module. Build, deploy, and scale your AI infrastructure with confidence.
You’ve built the models. We’ve built the system to keep them accountable. Explore powerful modules that observe, test, govern, and improve your AI continuously and in real time.
Real-time monitoring of models and agents in production
Inwire Observe gives you full visibility into your deployed ML models, LLMs, and AI agents. It continuously monitors inference requests, health signals, and behavioral metrics to ensure reliability, cost-efficiency, and performance.
Pre-deployment testing for ML models and LLMs
Inwire Eval ensures your AI doesn't ship broken. It lets you test models and prompts in sandboxed environments—catching regressions, hallucinations, or performance drops before they hit production.
AI governance with versioning, lineage, compliance checks, and approval workflows
Inwire Govern ensures accountability, traceability, and compliance for every model and prompt deployed on your platform.
Human-in-the-loop evaluations to improve and align AI behavior
Inwire Feedback empowers your team to guide and correct your AI using real-world human feedback—closing the loop between deployment and improvement.
Deploy, automate, and monitor your machine learning lifecycle. From version control to multi-cloud deployment with GPU acceleration—our MLOps stack lets you ship AI faster. Built-in CI/CD integration, automated testing, and seamless rollbacks ensure your models reach production with confidence.
Prompt engineering is no longer trial and error. Test, optimize, and compare prompts with real-time analytics, cost tracking, and version history. Our advanced A/B testing framework helps you find the perfect prompt configuration while monitoring token usage and response quality across multiple LLM providers.
Your retrieval pipelines need protection. RAG Sentinel guards against hallucinations, protects sensitive data, and enforces security policies for every query. Real-time content filtering, PII detection, and customizable safety rules ensure your AI systems stay compliant and trustworthy.
Manage your vector indices with full control. Monitor drift, retrain embeddings, and optimize search results—all in one place. Automated index health monitoring, smart rebalancing, and performance optimization keep your retrieval systems running at peak efficiency.
Generate synthetic datasets on-demand to fill gaps in your training data. Balance bias, simulate rare events, and accelerate model training. Our advanced generation algorithms create realistic, privacy-safe data that maintains statistical properties while protecting sensitive information.
AI needs live data. Inwire Stream connects to Kafka, APIs, and data feeds to push real-time streams directly into your workflows. Low-latency processing, automatic scaling, and built-in error handling ensure your AI systems always have fresh, relevant data.
Build complex AI workflows with drag-and-drop orchestration. Automate agent actions, monitor pipelines, and connect your stack without writing extra code. Visual workflow designer, conditional logic, and real-time monitoring make AI automation accessible to every team member.
Visual flow builder for AI pipelines. Design, connect, and deploy your logic visually and monitor everything in real time. Pre-built connectors, custom node creation, and collaborative editing enable rapid prototyping and deployment of sophisticated AI workflows.
Track every inference, cost, and usage metric. Full transparency into your AI stack helps you optimize both performance and budget. Advanced analytics, cost forecasting, and automated alerts keep your AI operations efficient and predictable.
Run workloads on any cloud or on-prem environment with native NVIDIA GPU support. No vendor lock-in, no friction. Intelligent resource allocation, automatic failover, and cost optimization across AWS, GCP, Azure, and private infrastructure.
Built-in security with zero-trust architecture, RBAC, and enterprise compliance certifications like SOC2 and ISO 27001. End-to-end encryption, audit logging, and granular access controls ensure your AI systems meet the highest security standards.
Ingest, transform, and route data in real time or batch. Full pipeline control, fully observable. Smart data routing, automatic schema detection, and built-in data quality monitoring ensure clean, reliable data flows throughout your AI infrastructure.