200
Independent four-arm runs
Fifty runs in each controlled prompt condition
For Investors and Strategic Partners
A calibration, optimization, and provenance company.
CONEXUS is building a common technical foundation beneath experimental AI methods and human-facing products. The investment case begins with evidence, intellectual property, working prototypes, and a defined path for validation and scale.
d = 3.78
Neutral-to-CONEXUS effect
Run-level semantic-distance comparison in the tested configuration
30,800
Locked optimization trials
Controlled Forgetting Engine sweep
561%
Largest reported relative gap
One stated 3D protein-folding benchmark comparison
One foundation, three layers
The company thesis is that calibrated search, subtractive optimization, and traceable provenance can reinforce one another.
Layer 1
Calibration
The Nine-Gear ECP architecture structures how models hold competing constraints and explore alternatives.
Layer 2
Optimization
The Forgetting Engine tests whether strategic candidate elimination can improve search under defined budgets.
Layer 3
Provenance
Traceable records connect inputs, transformations, outputs, and authorship history where implemented.
Research program
Controlled calibration experiments and computational optimization benchmarks are being organized into reproducible evidence packages with methods, results, and benchmark context.
IP portfolio
The filings concern calibration, symbolic compression, strategic forgetting, provenance, and collaborative human-machine authorship, documenting claimed priority positions across the portfolio.
Product translation
NAiRTHEX and ECHOform test how the underlying architecture can support governed reflection experiences while preserving human authority and user-directed interpretation.
Diligence record
What a serious investor should verify
Review the study scope, benchmark contexts, technical record, patent filings, and product stages directly.
Four-arm study: one model family, one task, one configuration, and 200 independent runs.
Forgetting Engine: benchmark-specific percentages with distinct objectives, baselines, and trial counts.
Technical record: public internal reports, methods, code references, and source paths.
Intellectual property: patent filings documenting claimed priority positions.
Products: concepts and prototypes across deployment, testing, and commercial-readiness stages.
Review the evidence before the narrative.
The public Evidence page separates measured findings, benchmark results, hypotheses, and source paths. Additional materials are available for qualified diligence.