Production-ready AI capabilities — MCP integration, RAG pipelines, Agentic AI orchestration, and custom models — engineered for security, scale, and real business outcomes.
Eight integrated AI capabilities — each production-ready, enterprise-secure, and designed to work together as a unified platform.
Connect any LLM to your ERP, CRM, databases, and APIs through a single, secure, vendor-agnostic gateway — no custom integrations.
Model Context ProtocolRetrieval-Augmented Generation across your knowledge base — eliminating hallucinations with context-grounded, accurate AI responses.
Vector SearchMulti-step reasoning agents that plan, execute, and coordinate tasks autonomously across systems — with human-in-the-loop oversight.
Autonomous AgentsDomain-specific models fine-tuned on your data — healthcare, finance, accounting, and enterprise operations — for higher accuracy than generic LLMs.
Fine-tuning & TrainingRBAC, end-to-end encryption, SSO integration, audit logging, and SOC 2 Type II certification — built into every layer of the platform.
SOC 2 Type IIHigh-performance semantic search and embedding storage — enabling millisecond retrieval from millions of documents and knowledge sources.
Semantic SearchAI-driven workflow automation connecting decisions, data, and actions across your enterprise systems — from trigger to completion.
Multi-system AutomationReal-time dashboards tracking AI performance, usage, errors, and business impact — with alerting and continuous improvement loops.
ObservabilityMCP is the open standard developed by Anthropic for securely connecting large language models to enterprise systems. AIplay's MCP Gateway eliminates custom point-to-point integrations — replacing them with a single, auditable, vendor-agnostic access layer.
Live Architecture
RAG connects AI models to your live knowledge base — documents, policies, SOPs, and databases — delivering accurate, context-grounded responses instead of hallucinated guesses. AIplay's RAG pipeline is built for enterprise scale: millions of documents, sub-100ms retrieval, and continuous knowledge base updates.
RAG Flow
Agentic AI systems don't just answer questions — they plan, execute, and coordinate sequences of actions across your enterprise systems. AIplay deploys production-grade agents with human-in-the-loop oversight, tool use, function calling, and full audit trails for every decision.
Agent Decision Loop
Define task steps
Call tools & APIs
Evaluate results
Refine & continue
Generic LLMs are trained on the internet — not your industry. AIplay develops domain-specific models fine-tuned on your data, delivering significantly higher accuracy for industry-specific tasks than off-the-shelf alternatives.
Analyse your data, requirements, and use cases to define model scope and architecture.
Clean, label, and structure your training data for optimal model performance.
Fine-tune or build from scratch, with iterative validation against your business benchmarks.
Deploy with monitoring, performance dashboards, and continuous improvement pipelines.
Security isn't a feature added after deployment — it's architected into every layer of AIplay's platform. From access control to audit logging, every AI interaction is authenticated, encrypted, and traceable.
All deployment options include the full MCP integration layer, security controls, and feature parity — your infrastructure choice never constrains your AI capabilities.
Have a technical question not covered here? Book a consultation and speak directly with our AI engineers.
Schedule a live technical demo — see the MCP Gateway, RAG pipeline, and Agentic AI platform running on your use case.