About Nexa
Nexa, Sweden, emerged with the vision of becoming the institutional backbone for AI in enterprises. The ambition was bold: to create the world’s first AI-Native ERP, a system capable of treating models, datasets, prompts, and vendors with the same rigor as financial assets or supply chains. Positioned as the “SAP-for-AI,” Nexa aimed to offer enterprises a neutral, sovereign, and audit-ready platform that could scale globally across finance, healthcare, defense, and government sectors.
Reviewed on
Custom Software Development & AI Solutions
31 Reviews
250k
+
Custom workflows engineered and deployed
45
%
Cut in manual operations through process orchestration
98
%
Accuracy rate achieved across automated settlements
34 Weeks
From system architecture to live production release
The Challenge
Nexa approached us with the task of designing and engineering a full-scale ERP system for AI assets. The problem they wanted solved was straightforward but unprecedented: enterprises lacked a unified system to govern, account for, and control their AI operations.
They needed a platform that could:
  • Provide an immutable ledger for every dataset, model, and prompt.
  • Enforce compliance policies at runtime, not after the fact.
  • Offer cost transparency and unit economics for AI spend.
  • Manage the AI supply chain, including vendors, contracts, and licensing.
  • Deliver evaluation and quality assurance to detect drift, bias, and risks.
  • Deploy across multi-cloud, sovereign, and on-prem infrastructures.
  • Present AI’s complexity in boardroom-ready dashboards for CEOs, CFOs, CIOs, and regulators.
Nexa wanted a complete, enterprise-grade product. A system with the scale, auditability, and neutrality to redefine how AI is governed worldwide.
What We Did
We engineered Nexa as a seven-module ERP suite, combining enterprise rigor with AI-native design. At the core, we built the AI Asset Ledger, an append-only, tamper-proof registry inspired by double-entry bookkeeping. Around it, we layered a Policy Engine capable of embedding compliance frameworks into runtime operations, and a FinOps module that treated AI usage like financial accounting.
Our team designed a Supply Chain system that could map complete AI Bills of Materials (AI-BOM), track vendor risks, and manage contracts. We developed an Evaluation harness that standardized testing for bias, safety, and drift, complete with recall orchestration. For security, we implemented a Sovereign Infrastructure layer with encryption, key management, and the ability to run in multi-cloud, sovereign, or fully air-gapped deployments.
Finally, we built Executive Dashboards that translated technical detail into actionable insights for boards and regulators. The architecture combined distributed systems engineering, compliance frameworks, and scalable cloud-native infrastructure to ensure Nexa could stand alongside SAP and Oracle in enterprise credibility.
The Results

The technology that we use to Build Nexa

JavaScript
TypeScript
Node.JS
React
Swift
Java
Objective-C
RxJava

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