Delentia Labs
The organization building the Intent Operating System and constitutional AI infrastructure for enterprise environments that require trust, auditability, and deployment discipline.
Short Answer: What Delentia Labs Is
Delentia Labs builds AI platforms, open protocols, and trust infrastructure by treating AI as an operating-system problem rather than a set of isolated model integrations. That is why the company focuses on architecture, governance, memory, and verification together.
30 Days
Time to Build
$0
External Capital
7820
Tests Passing
62
Microservices
Our Mission
To improve how humans and AI work together by building systems that understand intent, remain auditable, and make responsible AI deployment practical in real business environments.
Open Science
Publish concepts and protocols openly for scrutiny and adoption.
Public Infrastructure
Build foundations that support both enterprises and the wider ecosystem.
Trust by Design
Treat governance, verification, and memory as core system design concerns.
10
Architecture Layers
41
Framework Algorithms
7820
Verified Backend Tests
not claimed
Benchmark Hallucination
Explore
Scientific Rigor
Approach system design, testing, and explanation with scientific discipline.
Execution Quality
Maintain high standards in research, code, and deployment behavior.
Openness
Publish protocols and concepts to support scrutiny and extension.
Collaboration
Collaborate with researchers, engineers, and organizations pursuing deployable AI.
Frequently Asked Questions
Is Delentia Labs production-ready?
Yes, with separated evidence lanes. The current public SDK proof lane verifies 7820 tests at 91.37% coverage, while the enterprise private snapshot covers broader runtime validation (7820 tests) and an availability target for deployed programs.
What makes this different from LangChain or AutoGPT?
Delentia Labs uses a constitutional architecture where every AI output must pass governance and policy verification before execution. Unlike orchestration-only frameworks, Delentia Labs provides full audit trails, Delta Engine delta storage (39–90% smaller than full snapshots, measured in bytes), PDPA compliance by design, and an FDIA rank accuracy of 11 of 12 on a tiny hand-written set (a smoke test, not a benchmark).
Interested in Delentia Labs?
If you want to evaluate the system, discuss partnership opportunities, or understand the technical direction of the team in more depth, contact us directly.
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