Choose a template
Start from a governed reusable contract template instead of assembling deployment infrastructure from scratch.
MODULR / EX PARVIS VENTURE
MODULR explores reusable smart-contract deployment through controlled, evidence-backed workflows that reduce the complexity between configuration and deployment.
Smart-contract deployment still asks teams to assemble specialist infrastructure, inspect trust evidence and coordinate operational details repeatedly. MODULR is designed to make those steps bounded, understandable and auditable without claiming that any contract can be guaranteed safe.
ACTIVE R&D / VALIDATION
The current MVP is deliberately narrow: a gasless ERC-20 deployment workflow on Base Sepolia. The goal is to demonstrate repeatable deployment and prove the evidence model before expanding templates, networks or claims of readiness.
BOUNDED MVP WORKFLOW
Start from a governed reusable contract template instead of assembling deployment infrastructure from scratch.
Set values such as token name, symbol, initial supply and owner address within a bounded workflow.
Review meaningful verification and trust evidence before authorising a deployment.
Apply policy and eligibility controls before the contract enters the deployment path.
Complete the bounded Base Sepolia workflow without requiring the deploying user to manage native gas directly.
TRUST AS EVIDENCE
The deployed bytecode can be connected to the source and build inputs it is intended to represent.
Automated or independent checks have assessed the template against defined validation requirements.
Relevant audit material can be surfaced as evidence without turning that evidence into a guarantee of safety.
The approval state can reflect the defined governance threshold for a template or deployment policy.
The template and configuration meet the bounded rules required to enter the deployment workflow.
CURRENT PRIORITY
Prove one Base Sepolia ERC-20 workflow, use USDC-first economics rather than token-first incentives and validate the deployment and evidence experience.
LONGER-TERM DIRECTION
Future infrastructure may let AI agents use approved templates within defined policies and auditable controls. Autonomous production deployment is not presented as a current capability.
START A CONVERSATION
If you are working on a problem that deserves a simpler or better system, we would like to hear about it.