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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Infrastructure

Graph-native infrastructure

For the AI workloads nobody else can run

Most AI infrastructure was designed for one workload. The future has many. Enterprise AI is moving toward more complex systems: networks, simulations, digital twins, spatial computing, and autonomous agents. Today's GPU clouds are optimized for a single pattern: feed tokens into a transformer, get tokens out. Nexus is the foundation that turns GPU hardware into a graph-native AI platform.

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From silicon to intelligence

One platform.

Every workload.

Nexus deploys onto existing GPU infrastructure and makes it a graph-native AI software platform. Their enterprise customers get a managed AI experience. Their GPU capacity gets sustained utilization from real AI workloads.

Hardware Abstraction

Hardware-agnostic across NVIDIA GPUs, Cerebras CS-3, AWS Trainium, Google TPUs, and SambaNova. Same platform experience regardless of accelerator. Evolve your hardware mix without breaking the software layer.

Orchestration

Kubernetes-native with AI-aware extensions. Automated provisioning, fault tolerance with checkpoint recovery, multi-tenancy, and network isolation. Per-project firewalls, encrypted volumes, and signed boot images.

Workload-Aware Scheduling

The scheduler understands AI workloads, not just containers. Graph training jobs get high-bandwidth node placement. Inference workloads get latency-optimized routing. Simulation jobs get burst-capable allocation. Mixed workloads get intelligent resource partitioning.

Inference & Serving

vLLM and Ray Serve with workload-specific optimization: quantization, KV-cache tuning, speculative decoding, batching, and model routing. Autoscaling, canary deployments, A/B versioning, and real-time monitoring.

AI Platform

Aion enterprise platform running natively on the infrastructure. Model training, graph construction, agent orchestration, evaluation, and governance. The same platform that powers aion's enterprise deployments.

Marketplace & Self-Service

Pre-configured environments, open models, tools, and partner integrations. Five-click provisioning: from signup to running compute in minutes, not days. Enterprise customers self-serve from a catalog of AI capabilities.

Governance & Operations

Enterprise-ready by default.

Multi-tenancy, audit trails, and unified billing — all metered, all governed, all out of the box.

Governance & Security

RBAC, multi-tenancy, full audit trails, data residency controls, model provenance tracking, and continuous drift detection. Nexus Shield governance across training and inference.

Unified Billing & Metering

Per-tenant, per-workload metering with granular GPU-second billing. Multi-tenant isolation by default. Usage dashboards, cost attribution, and automated invoicing — everything an infrastructure operator needs to serve enterprise customers.

Partnerships

We partner with the world's leading infrastructure operators.

Across every cloud, region, and industry.

From hyperscalers to sovereign cloud, our platform adapts to where your customers need to run AI.

For Infrastructure Operators

Deploy Nexus Compute onto your existing GPU fleet. Offer your enterprise customers a fully managed AI platform under your own brand. Retain the customer relationship and the compute revenue. We handle the software layer, ongoing updates, and technical operations.

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For Enterprise Customers

Access production-grade AI infrastructure through your existing infrastructure partner. Train models, serve inference, orchestrate agents, and run simulations, all governed, all metered, all optimized for the workloads that matter to your business.

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Interoperable by Design

Nexus deploys on hyperscaler environments, not against them. Burst workloads to AWS, Azure, or GCP when needed. Keep sensitive workloads on sovereign infrastructure. Multi-cloud, hybrid, or fully on-premise. The platform adapts.

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Proven at Scale

Currently operational across multiple data center partners globally, powering enterprise AI workloads in fintech, retail, telecom, defense, and manufacturing.

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Your GPU infrastructure. Our AI software layer.

Partner with the team building the AI platform for production-grade enterprise workloads.

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