Custom software platforms
Web, APIs, data pipelines, and internal tools built for real load, real users, and real change over years — not quarters.
AI-native engineering · Cloud · Edge · Private models
Software that thinks
with your business.
IntelligenceISIT designs and delivers production systems where artificial intelligence is not a bolt-on — it is the architecture. From sovereign local models to cloud-scale platforms, we build IT that compounds advantage.
- Focus
- Full-stack IT + AI
- Delivery
- Production-first
- Models
- Cloud & on-prem
- Domains
- .com · .pt
We ship systems teams can operate — not demos that die in a slide deck.
Capabilities
End-to-end IT development,
executed with conviction.
Architecture, implementation, and operational excellence — unified under one engineering standard.
AI product engineering
Retrieval systems, agents, copilots, and evaluation harnesses wired into your domain data — measurable, governable, shippable.
Local & private models
On-prem and VPC deployments of open-weight models when data residency, latency, or cost demand full control — without sacrificing quality.
Cloud & platform ops
Azure-first architectures, CI/CD, observability, and cost-aware scaling so what we build stays reliable after go-live.
Data & intelligence layers
Schemas, embeddings, feature stores, and analytics that turn operational noise into decisions your models and people can trust.
Security by design
Identity, least privilege, secrets hygiene, and model-risk controls integrated from the first commit — not bolted on after an audit.
AI & local models
Intelligence you own.
Infrastructure you control.
Public APIs are powerful. They are not always the right answer. We help you choose — and implement — the right mix of frontier cloud models and local open-weight systems so sensitivity, cost, and latency stay under your command.
- Private inference on your hardware or private cloud
- RAG and agent systems grounded in your systems of record
- Evaluation, red-teaming, and human-in-the-loop workflows
- Hybrid routing: local for routine, cloud for peak complexity
- MLOps that survives the first production incident
Approach
How we earn trust on day one.
-
01
Diagnose with precision
We map constraints — data, compliance, latency, budget — before recommending models or platforms. No hype-driven architecture.
-
02
Build the thin slice that matters
A production path in weeks, not a year-long platform fantasy. Value early; foundation solid enough to grow.
-
03
Instrument everything
Quality metrics, cost per outcome, and failure modes visible to operators. AI without observability is theatre.
-
04
Hand over ownership
Documentation, runbooks, and knowledge transfer so your team runs the system — with us on call when you want depth.
Engineering stack
Modern by default. Pragmatic by choice.
We pick tools that last in production — and we are fluent when your estate already has opinions.
AI & models
- Open-weight LLMs
- vLLM · Ollama · ONNX
- Azure OpenAI · Azure ML
- RAG · Agents · Evals
Application
- .NET · Node · Python
- APIs · Event-driven
- React · modern web
- Integration & ETL
Cloud & runtime
- Microsoft Azure
- Functions · Containers
- Kubernetes when needed
- IaC · CI/CD
Data & security
- SQL · vector stores
- Identity & secrets
- Observability
- Zero-trust patterns
“AI is only as strong as the software around it. We build both — and we build them to last.”
Engage
Ready for systems that outpace the brief?
Tell us about the product, the data constraints, and the outcome that matters. We respond with a clear technical path — not a generic proposal deck.