Configuration-aware
Application location, data location and inference location are evaluated separately.
Evidence-based private AI decision engine
The right AI stack.For your work, data and hardware.
STACKELIER is not a directory of AI tools. It matches professional use cases to evidence-backed private AI configurations, checking the task, privacy boundary and actual hardware before it recommends anything.
Applications
Models
Runtimes
Hardware
PrivacyConfiguration-aware
EvidenceVerified sources
Task + Privacy + Hardware + Evidence → FitNot a tool list. A configuration decision.
50seed tools
35models
12runtimes
40/15verified reference stacks
Why STACKELIER exists
“Self-hosted” is not a privacy answer.
A self-hosted interface can still send inference to a cloud API. A powerful local model can still be a poor choice for your hardware. Stackelier evaluates the complete configuration, not the marketing label.
What makes STACKELIER different: recommendations must survive four checks at once — task fit, privacy boundary, hardware feasibility and verifiable evidence. Organic Match Scores cannot be purchased.
Actually runnable
Quantization, RAM/VRAM, context and runtime matter before a model earns a hardware fit.
Claims need sources
Privacy-critical claims are tied to authoritative documentation and revalidated when material changes occur.
The Stackelier Method
Task + Privacy + Hardware + Evidence = Fit
Task
What must the AI actually accomplish?
Privacy
Where may your data, storage and inference occur?
Hardware
What can your workstation or server realistically run?
Evidence
Can each important claim be verified and kept current?
Ranking integrity: organic Match Scores cannot be purchased.
Private AI by profession
Start with the work you need to protect.
Explore profession-specific private AI baselines, then use the Finder to apply your exact privacy and hardware constraints.
Consultants
Confidential documents, private RAG and meeting transcription.
Lawyers & Legal
Confidential legal documents and private matter retrieval.
Cybersecurity & IT
Security logs, malware reports and sensitive technical analysis.
Developers
Local coding, agentic workflows and private codebase analysis.
Finance & Accounting
Financial document analysis and private RAG.
Private AI guides
Start with the problem you need to solve.
Use architecture-first guides for confidential documents, RAG, private AI assistants and local hardware fit.