aion is an applied AI research lab. We build, deploy, and improve production-grade AI systems for enterprises. This includes custom model development, agent orchestration, fine-tuning, inference optimization, and ongoing system improvement. We work across fintech, healthtech, retail, e-commerce, telecom, and insurance.

How is aion different from other AI companies?

Most enterprise AI companies orchestrate third-party models (OpenAI, Anthropic) into workflows. We build custom models, fine-tune foundation models to your domain, and optimize inference and training performance through our in-house research team. We also deploy forward-deployed engineers who embed directly inside your organisation, and we ship everything on our proprietary Nexus platform.

Nexus is aion's proprietary AI platform. It includes five modules: Nexus Agents (orchestration and workflows), Nexus Models (model routing and evaluation), Nexus FDEs (human-in-the-loop governance), Nexus Optimise (continuous feedback and refinement), and Nexus Shield (enterprise security and compliance). It's the software layer our engineers use to ship production AI fast, cheap, and reliably.

What are forward-deployed engineers (FDEs)?

FDEs are aion engineers who embed directly inside your organisation. They work alongside your team to design, build, and deploy AI systems that integrate with how your business actually operates. They stay until the system runs without them.

What industries do you work with?

We work with enterprises that have domain expertise and proprietary data but need help building production AI systems. Most of our customers operate in fintech, healthtech, retail, e-commerce, telecom, and insurance.

What is the free AI audit?

Before we write a single line of code, our FDEs assess your AI maturity, infrastructure readiness, and highest-impact use cases, benchmarked against industry peers. It's completely free, no commitment required, and gives you a clear view of where the real ROI opportunities sit.

What is the 14-day bootcamp?

This is where most partnerships start. In two weeks, our FDEs embed with your team and build a working MVP on the Nexus stack, scoped to a real business problem, running on your data, evaluated against your success metrics.

How fast can aion deliver results?

Most enterprises go from first conversation to a working MVP in under a month. The free audit takes a few days, the bootcamp runs over two weeks, and production deployment follows from there. We move in weeks, not months.

Does my data leave my environment?

No. Our FDEs deploy directly into your infrastructure. Your data never leaves your control plane. Nexus Shield provides role-based access control, multi-tenancy, full audit trails, and data residency controls.

Do you build custom models or just use off-the-shelf APIs?

Both, depending on what the use case requires. We build custom models from scratch when off-the-shelf isn't good enough, fine-tune foundation models to your domain and data, and optimize inference and training for speed and cost. This is a core differentiator: we develop models, not just workflows around other people's models.

What does aion Research do?

Our in-house research team works on the hardest problems in production AI: evaluation and reliability, custom model development, agent architecture, feedback loops and self-improvement, governance and auditability, and fast inference and efficient training. Every method we develop gets pressure-tested in live enterprise deployments before it becomes part of the Nexus platform.

How does pricing work?

The AI audit is free. The 14-day bootcamp is a paid engagement scoped to one use case. Ongoing deployments are priced based on scope, complexity, and duration. We structure engagements so you see ROI before committing to a longer partnership.

How do I get started?

Book a free AI audit. Our FDEs will assess where you are and where the highest-impact opportunities sit. No commitment required.

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Enterprise AI powered by Graph Intelligence

Designed to understand the relationships between your data, workflows, systems, and decisions.

We partner with enterprises to build production AI systems by combining infrastructure, purpose-built models, agents, and embedded engineering teams.

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Why aion

Most AI was built for language.

Businesses run on relationships. We build systems for enterprise complexity.

Most organizations struggle to operationalize AI because their systems, data environments, and workflows were never built for it. aion enables enterprises to deploy AI into real operational environments in weeks, not months.

Three industry data points on enterprise AI: 89% of enterprises have adopted AI tools (source: Larridin State of Enterprise AI 2025); only 1 in 4 companies have moved a significant portion of AI pilots into production (source: Deloitte State of AI in the Enterprise 2026); only 39% of companies report measurable impact from AI (source: McKinsey State of AI 2025).

Built for production

Enterprise data has structure.

Most AI ignores it.

That's why we use graph-native architecture: models designed to reason over the relationships in your data, not just the records.

Graph-Native Architecture

We reason over the relational structure of your data natively: customer-product graphs, network topologies, supply chain dependencies, workflow DAGs, preserving the information that sequence models throw away.

Production in Weeks

From proof-of-concept to production-grade AI systems in weeks, not months. Our 14-Day Bootcamp builds a working MVP on your data, scoped to a real business problem, evaluated against your success metrics.

Models Nobody Else Builds

Graph neural networks, equivariant networks, neural field surrogates, physics-aware architectures. These don't exist in any foundation model provider's catalogue. We build them because the ecosystem for geometry-native AI doesn't exist yet.

Compounding Value

Every deployment feeds a loop of evaluation, learning, and optimization. The knowledge graph grows with every interaction. The system gets smarter the longer it runs.

Powering progress across industries

AI solutions built for your sector

Digital Infrastructure

Telecommunications

Retail & eCommerce

Financial Services

Defense & Public Sector

Supply Chain & Logistics

Case Studies

Our Work in Action

Real engagements, real outcomes

Physical AI · Defense & Location Intelligence

Building an AI-Powered Operational Platform on Top of GPS-Free Precision Positioning

A positioning technology company partnered with aion to build custom AI models on proprietary location data and deploy a physical AI platform for defense — turning sub-meter 3D tracking into real-time operational intelligence.

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eCommerce · Conversational AI

Benchmarking an AI Shopping Assistant Across 5 Critical Capability Dimensions

aion designed a structured evaluation framework for a global eCommerce company's AI assistant — covering clarification, sales closure, empathy, tool calling, and language quality.

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Physical AI · Inference & Training Optimization

Making Frontier Physics-Aware AI Models Run Faster Without Losing Physical Accuracy

A frontier research lab building physics-aware AI models partnered with aion to optimize inference speed and training efficiency, reducing latency and compute cost while preserving the physical laws and constraints their models depend on.

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GPU Infrastructure · Data Center Partnership

Bringing Europe’s Largest GPU Data Center onto the Cloud

aion is partnering with one of Europe’s largest GPU data center operators to bring liquid-cooled H100 and H200 bare metal infrastructure online as cloud-native, programmable compute.

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Resources

Our blogs and news

Let’s spill the tea

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7 mins read

Benchmarking an AI Shopping Assistant Across 5 Critical Capability Dimensions

A conversational shopping assistant is five overlapping conversations, not one — clarify, close, empathize, call tools, speak the language. Here's how aion built a multi-dimensional evaluation framework for a global eCommerce client, and why generic LLM evals miss what actually moves revenue.

8 mins read

aion's 4D Playbook: A Systematic Way to Get AI Into Production

95% of enterprise generative AI pilots produce zero P&L impact. aion's 4D Playbook — Diagnosis, Days, Deployment, Drive — replaces bespoke project thinking with a sequenced operating system for getting AI into production.

7 mins read

CACE: Why Every AI Change Breaks Your System (And What to Do About It)

AI systems lack the modular boundaries of traditional software, so any single tweak ripples unpredictably across the entire stack. Here's why CACE is worse in the age of agents — and how to tame it.

7 mins read

Your AI Strategy Is Failing Because of Your Team, Not Your Tech

Enterprise AI spending is doubling, yet 74% of organizations fail to capture meaningful value. The 10-20-70 rule and forward-deployed engineering explain why — and how to fix it.

8 mins read

You Can't Build an AI Solution If You Haven't Diagnosed the Problem

Despite unprecedented enterprise AI investment, the vast majority of initiatives fail not because of weak models, but because organizations haven't accurately diagnosed the problems they intend to solve.

6 mins read

Why Nearly 90% of Enterprise AI Projects Die Before Production

Despite unprecedented capital and technical investment, organizations face a staggering reality of systemic failure, with upwards of 80-90% of developed AI models never successfully transitioning into a live environment.

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