For individual users
SIA Workspace
A familiar conversational interface with prompt management, semantic alignment, quality monitoring, authority checks, and evidence built in.
SIA -Semantic Intelligence Alignment
SIA is an external semantic alignment layer that regulates prompt-output coherence and improves critical benchmarks such as hallucination, provenance and completeness. SIA reduces unnecessary token use, monitors outcome quality, and keeps AI’s actions aligned with the meaning and authority people intended.
Now inviting initial pilot partners.

Measurable semantic alignment
SIA manages the context sent to AI, reduces unnecessary token use, checks whether the result preserved the intended meaning, and records when a person still needs to decide.
Alignment overview
Illustrative preview · synthetic data
820
Prompt tokens
3
Quality findings
9
Authority checks
Prompt efficiency and quality
Illustrative alignment checks by week
Alignment outcomes
Satisfied
Review
Unresolved

The system can surface a finding. People retain the decision.
Human authority
Agent Authority is part of the SIA alignment layer in every interface. It keeps the authorized objective and its boundaries visible as work moves through models, applications, and agents.
Human judgment stays explicit
Authority stays bounded
One platform, three interfaces
Choose the experience that fits how people and applications already use AI. Every option connects to the same SIA capability layer.
For individual users
A familiar conversational interface with prompt management, semantic alignment, quality monitoring, authority checks, and evidence built in.
For existing AI tools
Bring SIA into the AI interfaces employees already use, with prompt guidance and alignment controls before and after a model call.
For applications and developers
Use the same SIA capabilities through programmed integrations, model routing, enterprise applications, and agent workflows.
Every interface includes the complete SIA capability layer.
Workspace, extension, and API users receive the same alignment functions through the interface appropriate for their work.
Where SIA fits
Pilot invitation
We’ll examine prompt context, token use, outcome quality, authority boundaries, and the evidence your team needs.
Investor? Request an investor briefing
AI will become more capable. Human authority should remain meaningful.
Led by the founder · independent of one model · bounded to the agreed pilot scope