Start with the problem.
Build the intelligence it requires.
For operators, technical founders, domain experts and institutions with a hard analytical or operating problem. CipherBasis defines the system, establishes what is true about it, builds the intelligence the problem needs, and then builds the software or workflow that delivers it. The medium follows the problem.
One practitioner does both halves: the domain reasoning and the engineering.
From a hard problem to a working system.
The same sequence applies whether the subject is a market, a business operation or an institution. What changes is the domain; the discipline does not.
Domain knowledge or a hard problem
Start with the question, the anomaly or the expert, not with a tool.
Define the system
Name the variables, relationships and constraints that matter.
Establish state
What is actually true now, separate from the story about it: the governed baseline.
Apply governed reasoning
Test causality, state the uncertainty, say what would prove it wrong, and keep a person in the loop.
Build the intelligence
A model, a monitoring view, a structured analysis or a decision-support tool.
Build the software or workflow, if required
Cloud-hosted applications, pipelines and interfaces that deliver the intelligence into how you operate.
The medium follows the problem.
Depending on what the problem needs, the output can be any of these, or a combination.
A written analysis, with sources, causality and the conditions that would change the conclusion.
A defined baseline for the system, its variables, thresholds and what counts as a change.
A watch on the signals that matter, with a person deciding what they mean.
The intelligence translated into how a team actually works and decides.
Applications, pipelines and APIs built and hosted on cloud infrastructure.
The reasoning made legible to a wider audience, when that is useful.
The system you would hire is the one already running.
CipherBasis applies this pattern to its own intelligence. The research, the advisor translation, the production process and the software that delivers them were designed and built the same way a client system would be.
A governed production process
From a question to a published, translated and recorded result, each step documented and the outputs hash-verified.
Software delivered end to end
Python data and state pipelines, FastAPI services on Google Cloud, React applications, Firebase hosting and authentication, run on Linux.
Research that shows its reasoning
Published essays with sources, number-by-number audits and explicit conditions that would prove them wrong.
Client engagements are confidential. Nothing here describes a specific client, and no engagement is implied beyond what exists.
On-chain infrastructure.
A specialty inside the same practice: oracle and index contracts on Ethereum, treasury intelligence for DAOs, and the API and integration layer that connects off-chain intelligence to on-chain systems. Ethereum is used as a witness for provenance and verification; it records values and state, and it does not decide what is true.
Build once.
Distribute everywhere.
Intelligence is derived through a systematic pipeline — from complex system inputs through the L/D1/D2/Z framework to named state variables, regime confirmation, and structured intelligence. That intelligence then flows simultaneously into every delivery interface: built once, distributed across every channel.
State variables. On the blockchain.
The PCE index series applies the L/D1/D2/Z framework to an economic state variable and records it on Ethereum mainnet at each monthly release. Auditable and timestamped, and available for direct contract integration. The most recent on-chain update was May 1, 2026.
Four contracts record the level, momentum, acceleration and intensity of PCE inflation, updated on-chain at each BEA release. A key economic state variable made verifiable on-chain.
Power law regression signal for digital asset valuation. Long-term cycle positioning on-chain.
Position sizing framework for digital assets, derived from volatility regime analysis. Published daily.
Treasury intelligence framework.
Signal-informed allocation.
The Mullet Margin framework and CPCE index power a decision support layer for DAO stablecoin treasury management. Built to surface yield comparison signals and macro risk context — giving treasury operators the intelligence infrastructure to make informed allocation decisions.
Aave USDC yield vs 1-Month T-Bill spread — our flagship yield comparison framework. Tracks the yield differential between on-chain and TradFi alternatives to inform allocation decisions. Updated daily from live contract calls.
PCE acceleration as a macro risk signal. Provides context for treasury positioning decisions when inflation is accelerating at the margin — a macro intelligence layer built into the framework.
Smart contracts, keeper bot automation, GCP backend, React dashboard. From signal to on-chain execution. Built to your DAO governance structure.
Oracle and integration infrastructure.
Signal to chain.
Oracle architecture, API infrastructure, and blockchain integration for institutions, protocols, and organizations. We design and deploy the connection layer between off-chain intelligence and on-chain systems — from smart contract oracles to full-stack integration builds.
Solidity development on Ethereum mainnet. Oracle architecture, index publishing, keeper bot automation, and custom governance. The on-chain layer of the intelligence stack.
Ethereum-first architecture by default. Oracle deployment, index integration, and custom on-chain infrastructure built to your system — on Ethereum mainnet or client-selected chain.
FastAPI signal engines on GCP Cloud Run. FRED integration, Alchemy node calls, DeFiLlama feeds. Production-grade, documented, maintainable.
End-to-end: smart contracts + keeper bots + backend API + React frontend + hosting. Solo or team augmentation.
Every layer. Production grade.
No standard packages.
Every build is different.
A DAO treasury build and an on-chain index integration are completely different scopes. Every engagement starts with a conversation — not a price list.
30 minutes. You explain what you need. I explain what makes sense to build. No commitment required. No pitch.
If the project requires more discovery — architecture review, technical requirements, integration planning — we work through it at the consulting rate.
Once the scope is defined, I deliver a fixed project estimate. Full-stack builds, smart contract deployments, keeper bot infrastructure — priced to the spec.
Solo or with your team. Smart contracts through frontend. Signal to chain. Documented, maintained, yours.
Have a hard problem?
Start with a conversation.
Every engagement starts with a free 30-minute conversation. No pitch. No standard packages. Just a conversation about what you need.
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