## Give AI agents **all** your data. Plug Claude, ChatGPT + Gemini into every system you run - SaaS, IT, OT, IoT, files - anything. Get AI agents that can finally see _all_ your business. # Custom AI built on your very own data fabric. Predictive ML, Gen AI, Agentic AI, MCP, conversational analytics + AI-led execution. Built into every layer of your operations. Governed end-to-end. Live in weeks. **DIY**Build it yourself**DONE-FOR-YOU** We build it**HYBRID**Build it together 95% OF AI PROJECTS NEVER SHIP · AUSTRALIA-BASED TEAM Trusted by 240+ teams across Australia + globally ### AI POCS NEVER SHIP Industry average (Gartner). ### RAYVEN AI IN PRODUCTION Via The Rayven AI Pilot. ### AI CAPABILITIES Native to the fabric. Not bolted on. 100% ### YOUR DATA, YOUR CONTROL Sovereignty + governance built in. ## AI is only as good as the data + architecture underneath it. Most AI projects fail because the data layer is not ready: generic LLMs hallucinate, predictive models score against stale exports + agents have no context. The [Rayven Platform](/content/platform/index.html) can create an AI Data Fabric that solves the prerequisite - unified, real-time, multi-source data - then uses that fabric to give you the custom AI capabilities you need - including agentic AI - embedded across every layer of your business. ### Just 5 of the custom AI solutions we can build for you on Rayvens. Not vague capabilities. Specific products you can take to a client next week - built by Rayven, delivered under your brand. [03 · AI ASSISTANT ACCESS **Rayven MCP** \Connect Claude, ChatGPT + Gemini directly to your live data via the Model Context Protocol. Your AI assistants get governed, real-time context - not guesses based on stale exports. \ - →Claude, ChatGPT + Gemini connected to your live data. - →Governed access - you define what each assistant can see. - →Full audit log of every query made. \ **Find out more**](/content/solutions/custom-software/rayven-mcp/index.html) [02 · AUTONOMOUS AI **Agentic AI** \AI agents that don’t just surface insights - they act. Goal-seeking agents that monitor conditions, make decisions + execute across your systems without manual intervention. \ - →Write-back to OT systems, ERP + operational software. - →Custom decision logic, thresholds + escalation rules. - →Human-in-the-loop controls with a full audit trail. \ **Find out more**](/content/solutions/custom-ai-solutions/agentic-ai/index.html) [01 · FOUNDATION **AI Data Fabric** \The prerequisite for every AI project that actually ships. Connect every system and data source into a unified, real-time layer - structured, governed and ready for AI to use. \ - →600+ connectors spanning IT, OT + IoT systems. - →Real-time processing - no batch delays, no stale data. - →AI-ready and deployed in 2-6 weeks. \ **Find out more**](/content/solutions/custom-ai-solutions/ai-data-fabric/index.html) ### Predictive AI + ML Train Python-based machine learning models on your data in real-time to forecast outcomes, detect anomalies + prevent failures before they cost you. Deliver real-time insights. - →Custom models trained on your data, not generic benchmarks. - →Real-time scoring against live feeds - sub-second detection. - →Continuously retrains as conditions change. ### Conversational Analytics Ask operational questions in plain language via custom UIs or embedded in existing dashboards. Get accurate, real-time answers from your actual data - not a generic LLM’s. - →Natural language queries across all your connected data. - →Answers traceable to source data - no hallucination risk. - →Built for operations teams, not data scientists. ### AI in every layer. Not bolted-on. Most AI platforms sit beside your operational software. Rayven puts AI _inside_ the platform - across every one of the five layers. ### 11 AI capabilities. One platform. 01 · AI AGENTS ### Custom AI agents Goal-seeking agents that read your data, run workflows + take real actions - governed by your rules. 02 · PREDICTIVE AI + ML ### Predictive AI + ML Trained models deployed into live workflows - scoring, forecasting, classifying against real-time data. 03 · CONVERSATIONAL ### Ask-anything analytics NL interface over your data - ask questions in plain language; get charts, summaries + actions. 04 · REAL-TIME TRAINING ### Continuous + real-time training Online learning, scheduled retraining + live deployment. Models stay current as operations change. 05 · AI-LED EXECUTION ### AI-led automation AI decisions wired directly into workflows - triggering actions, calling APIs, routing approvals. 06 · MULTIMODAL ### Document + media AI Extract from PDFs, forms, contracts, CSVs, video, images + audio. Generate reports + summaries. 07 · ANOMALY ### Anomaly + risk detection Models that watch your operations + flag the unusual - auto-routed to the right person. 08 · FORECASTING ### Forecasting + optimisation Demand, capacity, energy, scheduling, pricing - AI-driven forecasting embedded in the workflow. 09 · VISION + EDGE ### Vision + edge AI Vision-based defect detection + edge-inference outputs - ingested into the fabric as another data source. 10 · GEN AI SUMMARIES ### Generative summaries AI-written reports, updates + summaries generated automatically - on schedule, on demand, or triggered by events. 11 · RAYVEN MCP ### AI assistant access Give Claude, ChatGPT + Gemini governed, real-time access to your data via the Model Context Protocol. ## Why AI FAILS ### Shadow AI is already happening Your teams are pasting customer data into ChatGPT. Marketing is on Copilot. Engineering uses Cursor. It is the wild west - ungoverned, untracked, undefended. ### AI without a data foundation You cannot put AI on fragmented data and expect production results. Without a unified, real-time data fabric underneath, the model is guessing. ### Pilots never reach production 95% of AI PoCs die at 'interesting demo'. Beautiful Jupyter notebooks, zero operational impact, executive deck slides. ### Generic LLMs don’t know your business ChatGPT + Copilot are great until they hallucinate about your products, processes + customers. Trust collapses and the rollout stalls. ### AI lives in a separate platform Your AI sits in one tool. Your operations live in another. Insights never become actions. Predictions don’t trigger anything. ### No governance, no audit You cannot see who asked, what model answered, where data went, or why. Risk + compliance teams say no. Project stops.