Orden Core orchestrates virtually any AI or ML model—LLMs, vision, speech, embeddings, or your own fine-tuned models—and lets you build agentic pipelines that connect them to your organizational processes. No vendor lock-in. Deploy anywhere. Build once, adapt forever.
Stop waiting months for AI initiatives to deliver results. Orden Core gives you production-ready AI infrastructure that integrates with your existing systems in weeks, not quarters.
Deploy AI capabilities into your applications and workflows in weeks. Pre-built APIs, connectors, and SDKs mean your developers can integrate AI without becoming ML experts.
From pilot projects to enterprise-wide deployments. Orden Core automatically scales to handle growing user bases and workloads without performance degradation or architectural changes.
Semantic search across your entire knowledge base—documents, databases, applications. Users find what they need in seconds, not hours. AI understands context and intent, not just keywords.
Drag and drop your way from idea to production. Orden's visual pipeline editor lets you chain AI models, data sources, logic gates, and enterprise connectors into automated workflows—no code required.
Build pipelines on a canvas. Drag nodes from a categorized palette, connect them visually, configure parameters in a side inspector.
Source, AI, Logic, Output, Connector, and Finance nodes. 160+ operation nodes covering everything from LLM calls to Monte Carlo simulations.
Save, version, and deploy pipelines to production. Schedule executions, share with team members, or fork system templates to get started fast.
Pre-built pipeline templates for common workflows. Fork and customize—from data enrichment to document analysis to financial modeling.
Visual pipeline editor with categorized node palette and inspector
Run a pipeline, then ask AI to build a dashboard from the results. A rich library of out-of-the-box widgets, drag-and-drop grid layout, and smart field mapping—all generated automatically from your data.
Stat cards, bar/line/area/pie/scatter/radar charts, tables, KPIs, markdown text, geo maps, progress bars, list feeds—with a framework for building custom widgets.
Complete dashboards created from natural language. AI introspects pipeline output fields and builds data-aware widget configurations.
Resize and rearrange widgets freely on a responsive grid. Pin dashboards from AI chat, export/import configurations, and share with your team.
Save standalone widgets to a shared library. Materialize into dashboards or embed directly in AI chat. Duplicate, share, and reuse across projects.
AI-generated dashboard with drag-and-drop widget layout
Widget library with live preview editor
Create standalone widgets with a dedicated editor and live preview. Save them to a shared library, then materialize into any dashboard or surface them directly in AI chat conversations alongside your LLM interactions.
Configure widget type, data source, and styling with instant visual feedback. See exactly how your widget will look before saving.
Share widgets with team members. Duplicate and customize existing widgets to create variants without starting from scratch.
Pull widgets from the library into any dashboard via the "From Library" tab. Widgets maintain a reference link for synchronized updates.
Orchestrate LLMs (Claude, GPT, Llama, Mistral), vision models, speech-to-text, embeddings, classification models, or your own fine-tuned AI/ML models—all from a single platform. Then build agentic pipelines that connect model outputs to your real organizational processes and workflows.
Swap models without changing code. Run LLMs alongside computer vision, NLP, and custom ML models in the same pipeline. Add new models as they are released—no platform changes required.
AI models alone don't solve business problems—pipelines do. Connect model outputs to databases, APIs, notifications, approval workflows, and enterprise systems. Turn AI capabilities into operational processes.
AI assistant that understands your documents, team docs, pipeline results, and organizational context. Get answers with source citations. Route queries to the best model automatically.
160+ operation nodes and enterprise connectors out of the box, with an extensible framework for building custom agents. Pull data in, push results out, automate across your entire stack.
Extensible connector framework. Build custom agents and integrations through Enterprise Enablement.
Beyond pipelines and dashboards, Orden Core includes a full suite of enterprise AI tools.
Enterprise knowledge base with spaces, pages, rich text editing, and AI-powered completion. Content auto-embedded into vector search for organization-wide discovery.
Accounts, contacts, deals, and activities with visual pipeline stages. Purpose-built for tracking relationships and deal flow within your AI platform.
Semantic search across your entire document corpus. Natural language queries, role-based access on every record, and instant answers with source citations.
Automatically process 100+ file types including PDFs, Office docs, images, video, and audio. Intelligent OCR, entity extraction, and metadata enrichment.
OAuth2/OIDC, LDAP/AD federation, MFA, end-to-end encryption, audit logging, brute force detection. Built for FedRAMP, NIST 800-171, HIPAA, and SOC 2.
Rich text document editor with AI-powered writing assistance, auto-completion, and intelligent content suggestions. Create, review, and refine documents with AI as your co-author.
Complete audit trail for every action across the platform. Track who did what, when, and where—across AI queries, pipeline executions, document access, and administrative changes. Built for compliance reporting.
Retrieval-augmented generation built into the platform. Ingest documents, chunk and embed automatically, and ground AI responses in your organization's actual data—with source citations and access controls on every retrieval.
Run virtually any AI or ML model—LLMs, vision, speech, embeddings, classification, or your own fine-tuned models. Model registry, version management, automatic routing, and intelligent fallback across providers.
Every organization is different. Let's discuss the right deployment model, user count, and features for your specific requirements.
For small to medium teams getting started with AI
For enterprises needing advanced AI and customization
For large organizations with complex requirements