Where You Are
Three kinds of needs bring people to us — an urgent challenge, an AI mandate, or a company to build. Underneath them sit five business situations, described by the STARS model. Your situation determines the right first move, the right service, and the right pace. Find yours below.
stars
The Five Situations
Find your starting point
S — START-UP
Building something that does not exist yet
A new venture, a new business line, or a first AI capability inside an established organisation. No legacy, no baseline, no internal precedent — and every early architectural choice compounds.
Biggest risk: Scaling operational cost linearly with revenue.
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T — TURNAROUND
Something is broken and it is costing you now
A forecasting process failing at scale, a stalled AI project, a reporting bottleneck consuming margin every week. It needs fixing this quarter, not after a six-month strategy exercise.
Biggest risk: Another slide deck instead of a system in production.
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A — ACCELERATED GROWTH
The model works — now it has to scale
Volume, geographies, SKUs, users, or entities are multiplying faster than your systems and team. What worked manually at one scale silently breaks at the next.
Biggest risk: Scaling operational cost linearly with revenue.
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R — REALIGNMENT
Successful today, exposed tomorrow
Nothing is on fire, but the market, the technology, or the regulator has moved. Internal conviction is split and the organisation is optimising a model that is quietly losing relevance.
Biggest risk: Consensus-driven inaction while competitors compound advantage.
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S — SUSTAINING SUCCESS
Protect what works, stay ahead of competition
You have AI in production and it earns its keep. The job now is reliability, governance, drift control, and staying ahead of both the technology curve and the compliance curve — so competitors cannot close the gap while you are maintaining the lead.
Biggest risk: Silent model decay, audit exposure, key-person dependency, and losing ground to faster-moving rivals.
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Capabilities
What we actually build
Every situation draws on the same engineering bench: agentic AI, data platforms, cloud engineering, and the operational discipline to keep it all running once the launch excitement has passed.
Agentic AI & LLM Systems
Multi-agent workflows, retrieval-augmented generation, tool-calling agents, and human-in-the-loop review for operations, service, and back-office automation.
AI-Native Data Stack
Lakehouse and warehouse design on BigQuery and Synapse, streaming ingestion, feature stores, semantic layers, and contract-tested pipelines.
Cloud Platform Engineering
Landing zones, infrastructure-as-code, GPU and inference capacity planning, hybrid and sovereign deployment options on Google Cloud and Microsoft Azure.
MLOps & LLMOps
CI/CD for models and prompts, evaluation harnesses, versioning, canary releases, observability, and automated rollback.
Forecasting & Decision Intelligence
Demand, pricing, risk, and capacity models with scenario comparison, explainability, and override controls embedded in the tools teams already use.
Digital Twins & Simulation
Operational digital twins and symbolic-plus-neural hybrids for planning, what-if analysis, and physical-asset risk modelling.
Edge, Small Models & Cost Control
Model distillation, small language models, on-device and edge inference, and FinOps-driven token and compute budgeting.
Enablement & Operating Model
Team structure, capability building, and learning-by-doing programmes so your organisation owns the system after we leave.
Trust Layer
Security and compliance by design
AI that cannot be audited will not stay in production. Intellerts is ISO 9001 and ISO 27001 certified, and we design for governance from the first architecture session — regardless of which STARS situation you are in.
EU AI Act
Risk classification of your use cases, transparency obligations, technical documentation, and human-oversight design built into the system, not bolted on.
GDPR
Data minimisation, lawful basis mapping, purpose limitation, retention policies, pseudonymisation, and DPIA support for AI processing.
ISO 27001 & ISO 9001
Intellerts is certified on both. We work inside your ISMS: RBAC, encryption, secrets management, change control, and evidence-ready audit trails.
NIS2
Supply-chain and incident-reporting readiness for essential and important entities, including logging, monitoring, and resilience requirements for AI services.
DORA & Sector Rules
Operational resilience, third-party risk, and explainability requirements for financial services, plus MDR-aware design for health-adjacent products.
Data Residency & Sovereignty
EU-region deployment, private endpoints, customer-managed keys, and no-training-on-your-data guarantees for model providers.
Model cards, audit trails, and technical documentation are part of every delivery — not an upsell.
Next step
Most organisations sit between two. One call with a senior practitioner is usually enough to name it — and to say honestly whether we are the right partner for it.
Engineering Intelligence from Data
AI Venture Studio & Enterprise Builder. Building AI companies since 2015 from Utrecht (NL) and Kaunas (LT)
Service we offer
What We’ve Built
- d-HealthIQ
- RiskFin-IQ
- Retail AI
- ERP Data Migration
