Labs · AI & data consulting firm

LinkTec Labs

Applied AI expertise & research for SMEs.

AI-Ready audits, data infrastructure, custom agents. For executives who want to move from POC to production.

RAG Vector DB Claude API Autonomous agents Digital Twins n8n GDPR · EU AI Act

In 2026, virtually every SME uses generative AI on a daily basis. Yet almost none have connected it to their own data. The result is the same everywhere: generic answers, hollow agents, data siloed across Drive, CRM, mail and invoices.

The bottleneck isn't the model choice.
The bottleneck is : how to make an SME's data usable by AI, in a contextual, secure and maintainable way.
LinkTec Labs answers that bottleneck.

Three levels of engagement, one standard of rigor

From diagnosis to deployment, through to long-term advisory.

01 Signature product

AI-Ready Audit

Diagnostic — Entry product
From €1,500
100% billed upon order
  • Duration2 to 3 weeks
  • Deliverable30-50 page report · AI-Ready score · 6/12/24-month roadmap
  • For whomSME executives with 10-50 employees
  • CoversData mapping · 6 maturity dimensions · GDPR & EU AI Act compliance
02

Data layer implementation

Build — Infrastructure
On quote
€8,000 – €20,000 setup · €300–€800/mo maintenance
  • Duration6 to 12 weeks
  • DeliverableIngestion pipeline · Vector database · Connectors · Custom agents
  • StackVector DB (Pinecone / Qdrant / Weaviate) · Claude API · n8n · Custom RAG
  • TargetSMEs with real operational data to activate
03

Recurring strategic consulting

Operate — Monthly retainer
On quote
€1,500 – €5,000/month depending on scope
  • Format2-4 days/month · Direct access to leadership
  • DeliverableAI watch · Evolution support · Targeted R&D
  • CommitmentMinimum 6 months · 60-day notice
  • For whomLeadership teams with active AI roadmaps

A four-step approach

Every Labs engagement follows the same rigorous protocol — from diagnosis to continuous optimisation.

01

Audit

Map the data, identify quick-ROI use cases, measure AI maturity.

02

Build

Build the data layer: ingestion, vector database, connectors, custom agents.

03

Automate

Deploy to production: agent orchestration, business integrations, continuous monitoring.

04

Optimise

Measure, adjust, evolve: KPI steering, prompt A/B testing, continuous R&D.

An approach rooted in research

LinkTec Labs combines a university background in artificial intelligence & data with hands-on experience in robotics and AI research laboratories.

This dual culture — academic and operational — brings to SME problems the same methods proven in research: rigorous modelling, experimental validation, documented architecture choices.

  • University background in AI & Data
  • Internships and projects in robotics and AI research laboratories
  • Technical expertise in applied AI, data engineering and digital twins
  • Deep knowledge of modern AI architectures (RAG, fine-tuning, agents)
Stack mobilised

Six technical bricks, one system

Vector DB

Pinecone · Qdrant · Weaviate

Claude API

Anthropic · Agents · Tool use

Custom RAG

Retrieval · Re-ranking · Citations

n8n / orchestration

Pipelines · Workflows · Triggers

Digital Twins

Modelling · Business simulation

GDPR & EU AI Act

Compliance · Governance · NDA

The AI-Ready SME Index

A maturity framework designed to help SME executives benchmark themselves against their sector — and know exactly where to act first.

  • Data
  • Processes
  • Tools
  • Governance
  • Skills
  • Culture
Format Score out of 100 · 6 dimensions · Sector benchmark
Frequency Annual study
Publication Quarter to be confirmed · open access

The questions we get asked

What exactly is an AI-Ready audit?

An AI-Ready audit is a structured diagnostic of an SME's AI maturity across 6 dimensions: data, processes, tools, governance, skills and culture. It results in a 30 to 50-page report including an AI-Ready score, a data mapping, a prioritised list of 5 to 10 quick-ROI use cases and a 6/12/24-month implementation roadmap. The goal is not to sell a solution — it's to provide a clear view of the current state and action priorities.

How is this different from a traditional AI consultant?

A traditional AI consultant delivers strategic recommendations without building the system behind them. LinkTec Labs combines both: the audit leads to concrete technical deliverables (ingestion pipelines, vector databases, custom agents) that can be put into production by the Labs team itself. Diagnosis and execution are handled by the same technical capability — not a consultant handing off to an integrator.

Is structured data required to get started?

No. The vast majority of SMEs hold unstructured data (Drive, mail, invoices, partial CRM, Word documents, manual exports). The AI-Ready audit specifically includes the mapping and quality assessment of these sources. Level 2 (data layer) then builds the ingestion and contextualisation pipeline to make this data usable by AI — without requiring a full IT overhaul.

Is an NDA signed before the engagement?

Yes. When the engagement involves access to internal or sensitive data, a non-disclosure agreement (NDA) is signed before any document exchange. For a smoother start, it is also possible to work initially on a restricted scope or on anonymised data. In all cases, access to information is strictly limited to the operational needs of the engagement, logged, and the data is returned or deleted at its end.

Does the audit guarantee ROI?

An audit does not guarantee ROI — it identifies the use cases where ROI is probable and prioritises them according to implementation effort. Each retained use case is documented with its expected gain hypothesis, estimated implementation cost and success conditions. Actual ROI is measured later, once in production — not before. This transparency around uncertainty is part of the research-driven approach: nothing is promised that cannot be measured.

What happens after the audit?

Three possible next steps, with no commitment: (1) the audit stands on its own — the executive uses it to steer internal decisions; (2) data layer implementation (level 2) — building the infrastructure and first agents over 6 to 12 weeks; (3) a monthly retainer (level 3) — long-term support with AI watch and targeted R&D. The choice is made after reading the report — not under the pressure of a sales signature.

Ready to move from POC to production?

Let's discuss your project in 30 minutes. No commitment.