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.

Talk to Us

Embedded Teams

Your AI team,

embedded.

We don't hand you a platform and wish you luck. Our Forward-Deployed Engineers (FDEs) work inside your organization, alongside your team, building production AI systems that integrate with how your business actually operates.

Book a call

Premise

Researchers and engineers,

inside your environment.

Our FDEs are not consultants. They sit inside your environment with access to your data, your systems, and your team. They build on your infrastructure, under your governance, within your security boundary. Your data never leaves.

Research

Graph neural networks

Geometric deep learning expertise — the architectures that reason over relationships, dependencies, and structure, not just tokens.

Engineering

Production ML

Full-stack ML engineering across the Nexus platform. Training pipelines, evaluation harnesses, deployment, monitoring, retraining — all of it, in production.

Pattern Recognition

Vertical experience

Hard-won pattern recognition from previous deployments across telecoms, financial services, energy, and industrials. They've seen this problem before.

Deliverables

Not advice.

Running systems.

By the end of an engagement, your organization has working production systems — not slide decks, not pilots, not proofs-of-concept. Four concrete artifacts every embedded team leaves behind.

Working Models

AI models trained on your data, deployed on your infrastructure, governed by your policies. Validated against real business goals before they ever reach a user.

Agentic Workflows

Workflows orchestrated on Nexus with human-in-the-loop controls, retry logic, and full audit trails. The handoffs between your systems become reliable, repeatable, observable.

Knowledge Graph

A unified graph built from your enterprise data — systems, documents, transcripts, relationships. It compounds in value the longer the system runs.

Continuous Improvement

Pipelines that capture production signals and retrain models automatically. Integration with your existing stack through the APIs you already operate. We build on top of what you have.

Stages

Five stages.

One engagement arc.

Embedded engagements move through five connected stages. The goal is to build systems that run without us, and a team that knows how to evolve them.

FDE-led

Stage 01

Integration

FDEs map your data landscape, connect to your systems, and build the first production workflows on Nexus.

01 / 05

FDE-led

Stage 02

Adoption

Expand to additional use cases and departments. Train your team on the platform and integrate further into your stack.

02 / 05

Shared

Stage 03

Education

Your team learns to build and modify agent workflows independently, with full transparency into how systems make decisions.

03 / 05

Client-led

Stage 04

Upskilling

Employees whose manual tasks are automated transition to higher-value roles managing AI system performance and exception handling.

04 / 05

Closed loop

Stage 05

Feedback

User corrections, edge cases, and production signals feed back into model improvement continuously.

05 / 05

Get Started

Start with the Bootcamp. Scale with an embedded team.

Most engagements begin with our 14-Day Bootcamp: two weeks to build a working MVP on your data, focused on a real business problem. When you're ready to move from proof-of-concept to production, our embedded teams help deploy and scale.

Book the Bootcamp