Build AI-native enterprise apps without reprocessing penalties.
Empower developers to deliver what traditionally required entire teams.
Whether building on our platform or engineering custom solutions, we design AI systems with governance built in — not bolted on later.
Reduction in reprocessing costs
From concept to production
Every CTO and IT leader faces these challenges—most accept them as inevitable
Traditional Frankenstack requires managing at least six different APIs, data formats, authentication methods, and error handling approaches. When one system changes its API or goes down, it can break the entire chain. Uranion doesn't replace these systems immediately, it provides a unified layer that handles the integration complexity.
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You built a proof-of-concept with Bolt.new or Bubble, the demo went great. But when you try to add user authentication, enterprise data volumes, role-based permissions, and integrate with your existing PostgreSQL database.the entire architecture falls apart. Weeks of work become a throwaway.
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AI specialists command $150K-$200K salaries, when you can even find them. Recruiting takes 6-9 months. When you finally hire someone, they become a single point of failure. If they leave, your entire AI strategy walks out the door with them. Your company can't justify $800K annually for a five-person development team just to stay competitive.
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We've built solutions for this—in two ways, depending on what you need:
See How It Works
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Workflow A: Customer Analytics ( Uses All Main Nodes )
Starts Here
In this workflow: Ingest customer data records into the platform.
In this workflow: Validate customer email formats and required fields.
In this workflow: Merge duplicate customer profiles into a single unified record.
In this workflow: Calculate customer lifetime value and related KPIs.
In this workflow: Export analytics to dashboards and reporting tools.
Workflow B: Inventory Management ( Uses 4 Main Nodes + 2 Additional )
Starts Here
In this workflow: Ingest product catalog and current stock data.
In this workflow: Validate SKU codes and required product attributes.
In this workflow: Apply reorder thresholds and stock rules.
In this workflow: Generate supplier alerts when stock is low or thresholds are hit.
In this workflow: Check inventory levels and identify low‑stock items.
In this workflow: Create and manage purchase orders from stock checks.
Workflow C: Financial ( Uses 4 Main Nodes + 3 Additional )
Starts Here
In this workflow: Ingest financial transaction logs.
In this workflow: Validate transaction amounts and basic financial fields.
In this workflow: Match transactions to the chart of accounts.
In this workflow: Calculate profit margins and other financial KPIs.
In this workflow: Produce executive‑level financial dashboards.
In this workflow: Generate regulatory and compliance reports.
In this workflow: Apply tax calculations to financial results.
Workflow D: Marketing ( Uses 3 Main Nodes + 3 Additional )
Starts Here
In this workflow: Validate contact records and consent fields; this is the starting node for this workflow.
In this workflow: Merge contact records from multiple sources into unified profiles.
In this workflow: Apply lead‑scoring logic to prioritise prospects.
In this workflow: Manage retargeting pixels and audiences.
In this workflow: Launch and track social media campaigns.
In this workflow: Orchestrate and send email campaigns.
No coding required. Simply tell Uranion what you want to build in plain language, and watch it create production-ready workflows. Or choose from pre-built templates to get started instantly.
Describe what you want to build in natural language or choose from templates (CRM, RAG system, data pipeline). The AI suggests data models, nodes, and relationships. No blank-page anxiety—intelligent starting point in minutes.
Connect nodes representing your data pipeline—API inputs, AI processing, transformations, outputs. As data flows through, Uranion performs stateful historization, preserving state at every step. This creates your audit trail automatically.
Set parameters through visual controls. Describe AI operations in natural language. Platform handles authentication, error handling, cost optimization, infrastructure. Write custom code when needed in dedicated nodes—low-code, not no-code.
Test with real data. See intermediate states at every node. Deploy with built-in infrastructure—no CI/CD configuration, no DevOps headaches. The result: complete application with workflows, AI, interfaces, integrations, and automatic documentation.
The platform doesn't just execute workflows, it documents and explains them. When a developer leaves, their knowledge stays in the system. New team members ask the AI 'Why was this built this way?' and get comprehensive answers with full context.
Deliver enterprise applications at startup speed while maintaining quality, security, and institutional knowledge
Understand the architectural differences that enable what competitors can't deliver
Whether you're building on Uranion yourself or want our team to implement solutions for you, we'll show you exactly how the platform solves your specific challenges.
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