MO§ES — Sovereign Signal Governance Pitch Deck

Ello Cello Pre-seed · 2026
Ello Cello.
The live measurement standard for human-AI operator performance.
Performative benchmarks
for operators are not enough.
Measure live yield.
AQUA SIGRANK MO§ES™ SIGNOMY
01 / 10
02The Problem
Ello Cello
AI has model benchmarks, token counts, and subjective audits. It has no live, privacy-preserving standard for measuring whether a human operator produces real yield with AI agents.
Bottleneck Why it matters
Token volume Counts activity, including noise. It does not measure productive operator yield.
Subjective audits Interpret past transcripts; they do not create an inspectable live measurement standard.
Model benchmarks Measure the tool, not the human directing it.
Invisible skill Teams, employers, and markets cannot distinguish high-yield operation from performative usage.
03The Stack
Ello Cello

One measurement substrate.
Four proof surfaces.

Surface 01
SIGRANK
Live operator-yield measurement, privacy-preserving ranking, calibration, and anomaly resistance.
Measurement
Layer 01
MO§ES™
Commitment-preserving measurement, recursion, drift control, and governed execution.
Substrate
Surface 02
AQUA
Application filling, answer banks, reusable submission memory.
Memory
Surface 03
SIGNOMY
Execution-layer governance, participatory trust, agent provenance — a governed economy.
Economy
SIGRANK MEASURES  ·  MO§ES™ GOVERNS  ·  AQUA REMEMBERS  ·  SIGNOMY COORDINATES
MO§ES™ governs the field — code agents generate, eval tools measure, the labs won't commit across the stack. Patent pending; the rest proprietary.
04Proof · Live Measurement
Signalaf Operational
Seeded operators · live instrument
1,628
40+ live leaderboard users. Operator performance, measured without exporting private prompts.
Yield formula Cache read × output ÷ input²: defined inputs, defined output.
Privacy model Exports four token counts, not private prompt content.
Five-metric signature Rank, tier, and calibration across real operating behavior.
Gaming resistance Benford-informed anomaly detection and SigArena stress testing.
05Market · Adoption
Ello Cello

~$20–25B today.
~$90–115B+ future.

Product Market Opportunity User Surface Initial Focus
SIGRANK$3–7B $15–25B+AI UsersBuilders, creators, students, researchers
AQUA$9B $20B+ApplicantsJobs, grants, funding, education
MO§ES™$0.3–0.9B $5.8–15.8BInstitutionsEnterprise, government, platform deployments
SIGNOMY$7.7B $48–53BHumans + AgentsOperators, agent creators, autonomous participants
Aggregate opportunity spans identity, workflow, governance, and economic coordination.
Traditional portfolios — compound risk
0.8 × 0.8 × 0.8 × 0.8 = 0.4096 41%
MO§ES™ — constitutional lattice
Each module reinforces the others, targeting 80–85% structural coherence rather than compound fragmentation.
06Model · Sequence
Ello Cello

Prove the standard.
Then scale the constitution.

Field analysis · live operator telemetry
SigRank volume versus yield field distribution
The field has a shape. Volume measures activity; yield reveals whether that activity compounds into output.
The field
1,628
seeded operators; 40+ users on the live leaderboard.
The finding
Volume yield.
Near-zero correlation: token volume cannot stand in for operator performance.
The proof
Ghost-rank operators.
High-yield operators are buried on volume leaderboards. SigRank makes them visible.
What exists now
Volume versus yield field distribution
SIGRANK1,628 seeded operators; 40+ users on the live leaderboard.
SIGARENAHead-to-head calibration and gaming-resistance stress testing.
MO§ES™Published measurement science, empirical artifacts, and patent priority.
AQUA + SIGNOMYLive proof surfaces for reusable memory and governed coordination.
The field has a shape: volume and yield have near-zero correlation. The hidden high-yield operators are invisible on volume leaderboards.
What the first check proves
01 · Repeat useOperators return because live yield is useful, legible, and trusted.
02 · Paid calibrationA team pays to measure performance without exposing private prompts.
03 · Governed pilotA fintech/compliance partner adopts the first execution-layer use case.
04 · ExpansionMO§ES™ and SIGNOMY become the governing infrastructure beneath the standard.
AQUA Workflow · SIGRANK Identity · MO§ES Governance · SIGNOMY Economy
07Founder
Solo Founder

The team that shipped
the proof slide.

Deric J. McHenry
Deric J. McHenry
Founder · MO§ES™
Sole architect of the substrate, the patents, and everything shipped.
burnmydays@proton.me
716.260.0603
Before MO§ES™
Sociology & History at SUNY Geneseo, UB, and University of Hawaii at Hilo. Pacific Northwest ops for Invisible Children. Board seats at KEDS (2006–2008) and Horizon Health Services (2012–2018).
Then built a company
Founded DJMP Inc. in 2011 — took a Buffalo contracting operation from zero to $1M/yr with a team of 40. Projects $10k–$500k. Learned what it means to govern a real operation.
Which led here
Running governed AI across that operation, the leaderboards left the operator out. The augmentation layer was invisible. So I built it, patented it, published it, and ran it against the field. #1 across all five kernels is the receipt.
Why now
Agent commerce enters production in 2026. Four patents filed. Law out. Substrate shipped solo. The window to set the standard is open and short.
08The Ask
Pre-Seed
$375K
SAFE
First check for proof of life: repeat live measurement, one paid design partner, and the first enterprise pilot.
Objectives
  • Prove repeat use of live operator measurement
  • Convert the first paid design partner
  • Launch one fintech/compliance pilot by Oct 7, 2026
  • Publish the measurement methodology and evidence packet
Use of funds
30%
Go-To-Market
Design partners, pilots, enterprise adoption.
25%
Engineering
AQUA deployment, SIGRANK launch, offline MO§ES™ infrastructure.
15%
Legal & IP
Non-provisional patent conversion, trademark protection, licensing framework.
15%
Founder Operations
Full-time execution, travel, operations, runway continuity.
10%
Product & Experience
User onboarding, workflow refinement, adoption optimization.
5%
Reserve
Contingency and operational flexibility.
Outcome
Identity Workflow Governance
Establish the constitutional foundation required for large-scale human and agent coordination.
Patent pending 19/426,028
IC 042 trademark filed
DOI 10.5281/zenodo.18792459
AAppendix · Operational Totals
Mar 9 – May 28, 2026

Industrialized execution,
by the numbers.

Amplification ratio
21.23×
3.31M operator input → 70.25M system output.
98%
Preserved structure
2%
New structure
MetricValue
Total tokens3.719B
Cache read3.513B
Cache create132.25M
Operator input3.31M
System output70.25M
Amplification21.23×
Cache read 94.46% · read + create 98.03% · fresh ~1.97%.
Internal operating evidence, pending formal audit.
BAppendix · Defensibility
"Why can't OpenAI build this?"

A large lab can build models.
We build the execution layer.

The field — enforcement × cost efficiency
CategoryPlayers · Gap
Code agentsCursor, Claude Code — no conservation guarantee.
Eval / guardBraintrust, Patronus — no enforcement at execution.
Model providersAnthropic, OpenAI, Google — no commitment across the stack.
MO§ES™A protocol — runs alongside, a layer beneath everything.
MO§ES™ doesn't compete with these tools. It governs them.
The moat — what's proprietary
AssetStatus
MO§ES™Patent pending · 19/426,028.
AQUA Answer Bank™Proprietary application memory.
SigRank MetricsProprietary operator scoring.
SIGNOMYProprietary governance layer.
IC 042 trademark filed · DOI 10.5281/zenodo.18792459