Ello Cello
Pre-seed · 2026
Ello Cello.
The execution infrastructure layer for the agentic economy.
Proven by industrializing
code generation at
3.719B-token scale.
code generation at
3.719B-token scale.
AQUA
SIGRANK
MO§ES™
SIGNOMY
01 / 10
I have a theory that language has a measurable signal-to-noise ratio, operators can be ranked, commitment can be conserved, and AI performance can be predicted from signal quality.
| Bottleneck | Why it matters |
|---|---|
| Signal in Language | No accepted standard exists for measuring semantic signal-to-noise. |
| Operator Intelligence | Missing opportunities for beneficial growth, collaboration, and knowledge transfer. |
| Meaning Preservation | Intent, context, and meaning decay across conversations, workflows, and time. |
| Performance Prediction | AI behavior remains largely probabilistic because interaction quality is not measured. |
One execution stack.
Four commercial wedges.
Layer 04
SIGNOMY
Execution-layer governance, participatory trust, agent provenance — a governed economy.
Governance
Layer 03
SIGRANK
Human–AI operator leaderboard, sync telemetry, resonance metrics.
Intelligence
Layer 02
AQUA
Application filling, answer banks, reusable submission memory.
Workflow
Layer 01
MO§ES™
Compression, recursive execution, drift control, lineage structure.
Substrate
MO§ES™ IS THE ENGINE · AQUA + SIGRANK ARE THE WEDGES · SIGNOMY IS THE GOVERNED ECONOMY
MO§ES™ governs the field — code agents generate, eval tools measure, the labs won't commit across the stack. Patent pending; the rest proprietary.
Total tokens · code production
3.719B
Code generation, treated as an industrial process.
| Cache architecture | Reusable context, repeated-work reduction. |
| Multi-lane execution | Generation · review · compression · telemetry · packaging. |
| Throughput tracking | Tokens-over-time and output density measured continuously. |
| Cost per token | Falling through reuse and structural compression. |
~$20–25B today.
~$90–115B+ future.
| Product | Market Opportunity | User Surface | Initial Focus |
|---|---|---|---|
| SIGRANK | $3–7B → $15–25B+ | AI Users | Builders, creators, students, researchers |
| AQUA | $9B → $20B+ | Applicants | Jobs, grants, funding, education |
| MO§ES™ | $0.3–0.9B → $5.8–15.8B | Institutions | Enterprise, government, platform deployments |
| SIGNOMY | $7.7B → $48–53B | Humans + Agents | Operators, 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.
Seven revenue lines. Five phases. One constitutional lattice.
Revenue lines
| AQUA Individual | Subscription. |
| AQUA Teams | Team / workspace licensing. |
| AQUA Orgs | Institutional licensing. |
| SIGRANK Public | Leaderboard, identity reveal, premium profiles. |
| SIGRANK Enterprise | Dashboards, analytics, certifications. |
| SIGNOMY | Marketplace fees, trust tiers, governance services. |
| MO§ES™ | Strategic enterprise licensing. |
Phased sequence
| Phase 01 | AQUA MVP · Answer Bank. |
| Phase 02 | SIGRANK Alpha · public leaderboard. |
| Phase 03 | Enterprise dashboards · private analytics. |
| Phase 04 | SIGNOMY · constitutional economy. |
| Phase 05 | MO§ES™ licensing · private deployments. |
AQUA Workflow
·
SIGRANK Identity
·
MO§ES Governance
·
SIGNOMY Economy
The team that shipped
the proof slide.
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.
$1.5M
SAFE
18-month runway to complete Phases 01–03 of the deployment sequence and establish the first enterprise licensing pathway.
Objectives
- →AQUA production deployment and workflow validation
- →SIGRANK public launch and leaderboard adoption
- →Enterprise analytics and governance pilot deployments
- →15 enterprise design partners
- →30 institutional relationships — NGAs, universities, research groups, professional communities
- →30 strategic collaborations, ecosystem integrations, workshops, or industry events
- →MO§ES™ Protocol v1 publication
- →Conversion of provisional patents to non-provisional filings
- →Offline / hardcoded MO§ES™ implementation
- →Initial enterprise licensing framework
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
IC 042 trademark filed
DOI 10.5281/zenodo.18792459
Industrialized execution,
by the numbers.
Amplification ratio
21.23×
3.31M operator input → 70.25M system output.
98%
Preserved structure
2%
New structure
| Metric | Value |
|---|---|
| Total tokens | 3.719B |
| Cache read | 3.513B |
| Cache create | 132.25M |
| Operator input | 3.31M |
| System output | 70.25M |
| Amplification | 21.23× |
Cache read 94.46% · read + create 98.03% · fresh ~1.97%.
Internal operating evidence, pending formal audit.
Internal operating evidence, pending formal audit.
A large lab can build models.
We build the execution layer.
The field — enforcement × cost efficiency
| Category | Players · Gap |
|---|---|
| Code agents | Cursor, Claude Code — no conservation guarantee. |
| Eval / guard | Braintrust, Patronus — no enforcement at execution. |
| Model providers | Anthropic, 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
| Asset | Status |
|---|---|
| MO§ES™ | Patent pending · 19/426,028. |
| AQUA Answer Bank™ | Proprietary application memory. |
| SigRank Metrics | Proprietary operator scoring. |
| SIGNOMY | Proprietary governance layer. |
IC 042 trademark filed · DOI 10.5281/zenodo.18792459