The AI consultancy for data, algorithms and automation.

Master data | AI strategy | Algorithms & quant | Any sector

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Why We Built Aion Group

Every organisation wants to do more with AI, but most get stuck before they start: data spread across systems, duplicates nobody trusts, and pilots that never reach production. The models keep getting better, and everyone has access to them. The difference is made by clean data, the right algorithms and a team that knows how to put them to work. That is what we build: from master data to models that run in production, and you own all of it.

Thomas Visser
Founder, Aion Group

What We Do For You

From a clean data foundation to AI and algorithms that run in production. One partner for the whole chain.

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Where We Make an Impact

Pick a field. Not listed? If it involves data, AI or a hard optimisation problem, ask us.

Knowledge Graph

Your business as a graph

Customers, products, contracts, people and decisions connected in one typed graph that grows richer with every document.

→ Questions answered across every system at once
Knowledge Graph

Connected research & due diligence

Link entities, filings, news and internal notes so analysts follow real relationships instead of keyword hits.

→ Hours of desk research in minutes
Knowledge Graph

Grounded answers, cited

Retrieval that walks the graph, so every answer is traceable to the exact source it came from.

→ Answers you can defend
Company Intelligence Layer

One brain for the whole company

A secure layer over ERP, CRM, documents and mail that every team, agent and model can reason over.

→ Company knowledge that compounds
Company Intelligence Layer

Ask your company anything

A private assistant that knows your policies, projects and history, and respects who may see what.

→ Answers in seconds, not searches
Company Intelligence Layer

Decision memory

Capture why decisions were made, not just what, so knowledge stays when people leave.

→ Institutional memory you own
Master Data

Golden record

Merge duplicate customers and suppliers across ERP, CRM and spreadsheets into one governed record.

→ One source of truth for every system
Master Data

Product data, perfected

Standardise, enrich and classify product data and attributes with AI-assisted rules.

→ A clean catalogue, fewer errors downstream
Master Data

Quality that watches itself

Rules and anomaly detection that stop bad data before it reaches reports, invoices or models.

→ Problems caught at the source
AI Strategy

AI opportunity scan

Map processes and data to find the use cases with the highest value and the lowest risk.

→ A prioritised shortlist with business cases
AI Strategy

Roadmap & governance

Architecture, security and ownership: what to build, buy or skip, and in what order.

→ A plan the board and IT both sign
AI Strategy

Proof in weeks

Test one use case on your own data before committing to a full build.

→ A go / no-go based on evidence
Intelligent Automation

Intake that sorts itself

Agents read e-mails, forms and documents, classify them and route them to the right place.

→ Less manual sorting, faster response
Intelligent Automation

Reports that write themselves

Agents collect the data, draft the report and flag what changed since last time.

→ Recurring reports without the recurring work
Intelligent Automation

An agent fleet, not a monolith

Specialised agents with one job each: observable, testable and replaceable.

→ Automation you can trust and audit
Algorithms

Planning & scheduling

Optimise rosters, production schedules and maintenance windows under real-world constraints.

→ Better plans, made in minutes
Algorithms

Routing & logistics

Vehicle routing, load planning and warehouse slotting with solvers tuned to your operation.

→ Fewer kilometres, fuller trucks
Algorithms

Pricing & matching

Dynamic pricing, allocation and supply-demand matching models.

→ Decisions grounded in data
Quant

Forecasting that's measured

Demand, sales and capacity forecasts, always measured against an honest baseline.

→ Less stock, fewer stock-outs
Quant

Signal & strategy research

Point-in-time correct backtests and factor research without look-ahead bias.

→ Only what beats its benchmark ships
Quant

Risk, anomaly & fraud

Risk, scenario and anomaly models that flag what matters, with a clear audit trail.

→ Risk you can explain to auditors
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Finance & investmentIndustry & manufacturingLogisticsRetail & e-commerceEnergy & utilitiesHealthcarePublic sectorProfessional servicesResearch & education

How It Looks in Practice.

SIGNEDMANAGED BYBILLEDPLACEDCONTAINSSUPPLIED BYCONTRACTFramework 2026PERSONAccount managerINVOICEINV-0931ORDER#4812PRODUCTSKU 20-114SUPPLIERNoord MetaalCUSTOMER · GOLDEN RECORDVan Dijk BVERP ×3CRM ×2KVK ✓

One Source of Truth

Every customer, order, product and contract becomes one entity in a typed knowledge graph, with the relationships between them. Duplicates from ERP, CRM and spreadsheets merge into a single golden record.

When does the Van Dijk contract renew?SIGNEDHASCUSTOMERVan Dijk BVCONTRACTFrameworkCLAUSE§7.2 RenewalIt renews automatically on 1 March 2027,unless cancelled three months ahead.11 · CONTRACT 2026 · §7.2PATH · 2 HOPS

Every Answer, Cited

Questions are answered by walking the graph, so every answer shows the path and the source it came from.

Data MatcherQuality CheckIntakeReport WriterForecasterRoute OptimiserSHARED GRAPH

Specialised Agents

One job each, all reading from and writing to the same graph. Observable, testable, replaceable.

~8 weeksScanBuildTeachHand overYOUR GRAPH, GROWING WEEK BY WEEK

Short, Methodical Engagements

Your graph grows week by week, from first scan to running in production.

MODELProvider AMODELProvider BMODELOpen-sourcePLUGS INTOYOUR GRAPH · UNCHANGED

Zero Model Lock-In

Models plug into your graph. Switch provider and the knowledge stays exactly where it is.

ENTITYOrdersENTITYProductsENTITYRoutesENTITYPricesFEATURESMODELForecast · SolverVS. BASELINE →
Forecast error−24%
Baseline
Aion
vs. naïve baseline
Route distance−12%
Baseline
Aion
vs. current plan
Duplicate records−80%
Baseline
Aion
vs. before cleanup
Sharpe (backtest)1.8
Baseline
Aion
vs. benchmark 1.0
ILLUSTRATIVE EXAMPLES · NOT CLIENT RESULTS

Algorithms & Quant, Measured Honestly

Features come straight from the graph. Every forecast, solver and strategy is measured against a baseline before it ships.

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Why Teams Choose Aion

Four principles behind every engagement.

01

Data first, AI second

Typical approach

Start with a model, discover the data problems in month three.

The Aion way

Start with a clean, governed foundation, so everything built on top actually works.

Golden recordsData qualityGovernance
02

No model lock-in

Typical approach

Built around one vendor's model and API. Switching means rebuilding.

The Aion way

Provider-agnostic by design. Swap in a better model and keep everything else.

Any providerOpen modelsNo re-platforming
03

Evidence by default

Typical approach

Answers that sound right, with no way to check where they came from.

The Aion way

Every answer cited to its source, every model measured against a baseline.

CitationsBaselinesAudit trail
04

You keep the keys

Typical approach

A black box you rent, and a permanent dependency on the vendor.

The Aion way

Your team works alongside ours. You own the code, the data and the know-how.

Your codeYour dataYour team

How We Work

Short, methodical engagements, typically around eight weeks. Knowledge transfer is built into every step, not bolted on at the end.

01

Scan

Map your processes, data and goals; pick the use case with the most value.

02

Build

Clean the data, build the model or agent, measure it against a baseline.

03

Teach

Your team works alongside ours throughout.

04

Hand over

Running in production, documented, and yours to keep evolving.

Ready to Put Your Data to Work?

Tell us the problem: messy master data, an AI idea, a planning puzzle or a forecasting question. We'll tell you honestly what's possible.

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