Who we are
Early-stage, founder-led business with an operational focus on the US e-commerce market.
US-REGISTERED • FOUNDED 2025 • EARLY STAGE
Build with evidence.
Scale with systems.
OPZEIT LLC is a US-registered, founder-led company building wholesale sourcing workflows and practical research tools. Claude is already part of our founder's day-to-day software development process; we are now exploring how to bring it into the sourcing product itself.
US-registered LLCE-commerce operationsAutomation-focusedResearch-first engineeringInteractive sourcing prototype available
01 / COMPANY
Built for disciplined execution.
OPZEIT LLC was established in 2025 as a US-registered company. We approach complex work through structured research, transparent operating stages, and measurable engineering progress—not inflated launch claims.
What we are developing
Practical tools for repeatable product analysis, workflow automation, and evidence-based research.
How we work
Human review, data-quality gates, iterative testing, and cautious deployment.
02 / CURRENT WORK
Two areas. Clear stages.
OPZEIT develops its own wholesale sourcing workflow. Our founder also works on other independent software projects; these are shared as examples of hands-on engineering experience, not represented as OPZEIT-owned products.
INITIATIVE 01Workflow design & development
Wholesale Sourcing Intelligence
OPZEIT is building a more structured approach to US Amazon wholesale research. The focus is on turning supplier inputs and marketplace observations into reviewable sourcing decisions.
- Supplier-first, catalog-to-product research workflow
- UPC / ASIN identity and product-match verification
- Price, fee, landed-cost, and margin analysis planning
- Eligibility, IP, and supplier risk flags for manual review
- Experimenting with scalable research tooling and data records
Current state: Product research and sourcing workflow exploration are underway. End-to-end automated buying, inventory ordering, and commercial performance are not claimed.
Explore the working research prototype ↗INITIATIVE 02Active engineering / validation
Quantitative Research & Trading-Agent Engineering
Alongside OPZEIT’s e-commerce work, our founder develops a separate quantitative research engineering initiative focused on market-signal evidence, outcomes, and risk evaluation. It is not represented as an OPZEIT-owned product or as a live trading service.
- Market scanning and signal-outcome tracking foundations
- Research dashboard and recurring evidence collection pipelines
- Futures shadow analysis and diagnostic reporting
- Automated testing and staged research validation
- Deterministic risk controls and human-governed progression
Current state: Engineering components exist, while a reliably positive after-cost trading edge is not proven. Autonomous real-money execution is not enabled. Founder-led, separately attributed research.
WORKING PROTOTYPE / SOURCING INTELLIGENCE
Explore the workflow, not just the roadmap.
Test an interactive research workspace that parses supplier catalogs, estimates unit economics, highlights missing product data, and exports reviewable results. The prototype demonstrates an early-stage workflow; it is not a live Amazon intelligence service.
Browser-based prototype • Illustrative sample data • No live Amazon or Claude API integration yet • Human review required
03 / BUILD PROGRESS
Separate what exists
from what comes next.
The team already works with Claude during planning, code development and debugging. The sourcing demo remains a browser-based prototype; deeper AI features and production integrations are separate milestones.
Research & data workflows
Supplier/product analysis work has begun. The quantitative research initiative includes scanning, evidence collection, outcome tracking, dashboards, and automated testing.
Reliability & validation
Improving repeatability, auditability, cost evaluation, data integrity, and risk constraints before wider automation or decision authority.
Controlled AI assistance
Evaluate AI-supported document extraction, engineering productivity, structured research summaries, and human-reviewed exception handling.
04 / CLAUDE IN OUR DEVELOPMENT WORKFLOW
Claude has been part of the work.
Not just a future idea.
We use Claude in hands-on development: translating requirements into structure, exploring implementations, working through code and debugging problems. This is different from saying every product already calls the Claude API at runtime. We are careful about that distinction.
FOUNDER EXPERIENCE · SEPARATE BUSINESSCLAUDE-ASSISTED WORK
Custom WordPress & WooCommerce engineering
Before building OPZEIT’s sourcing workflow, our founder used Claude extensively on a separate, established digital-commerce business. The work included hands-on WordPress engineering, custom WooCommerce features, storefront design, debugging, and practical automation. The commercial business and its website are intentionally not identified here.
- Custom storefront UX, side-cart and checkout interface refinements
- Subscription account dashboards, renewal and invoice experience
- QR-assisted payment UI and human-reviewed order workflows
- Referral interface, event tracking, and integration compatibility work
- API-connected workflows, background synchronization and performance troubleshooting
Independent experience: This work belongs to a separate business, not OPZEIT LLC. Selected capabilities are described at a high level to respect its commercial privacy. Some features were iterative prototypes or under validation; this is not a claim that every feature is in production.
FOUNDER EXPERIENCE · INDEPENDENT RESEARCHACTIVE ENGINEERING
Quantitative Trading Agent — engineering
Claude has been an important tool in planning system architecture, breaking down modules and working through the engineering of a Python-based quantitative research agent.
- Market scanning and outcome-tracking components
- Dashboards, automated evidence collection and tests
- API-based messaging and operational notifications
- Research gates and human-reviewed risk controls
Stage and scope: This is founder-led research, not currently presented as an OPZEIT-owned product or a proven live trading service. API-based messaging does not imply Claude API powers message delivery.
A NOTE FROM THE FOUNDER
“I started using Claude to help me build things I was already working on. It helped me work through custom WordPress and WooCommerce interfaces, plugin logic, integrations, and the architecture of a separate trading research system. I still review, test and make the final decisions myself. For OPZEIT, I want to take that same practical approach further—into repeatable sourcing workflows and, when ready, real API-backed features.”
Claude is one part of the toolchain; other assistants and conventional development tools are also used. This is a description of the founder's experience, not a claim that every system runs Claude models.
NEXT / OPZEIT PRODUCT INTEGRATION
Making sourcing research more useful.
The Sourcing Intelligence prototype already parses sample supplier catalogs, estimates margins and ROI, identifies missing fields, and exports research results. Its current calculations run in the browser. We intend to evaluate Claude API for:
01
Supplier-document extraction
Turn inconsistent catalog documents into structured fields for review.
02
Research explanations
Summarize anomalies, uncertain matches and missing information with source-linked notes where available.
03
Engineering & testing
Continue using Claude to support implementation, debugging, reviews and repeatable test coverage.
04
Human-led decision support
Help the researcher prioritize checks without making purchasing or financial decisions autonomously.
Clear status: Claude-assisted development is already part of the founder's workflow. The publicly accessible sourcing demo is not yet connected to the Claude API, live Amazon data or seller permissions.
05 / OPERATING PRINCIPLES
Transparent by design.
We describe what exists and what is planned, and we distinguish experience across independent businesses from OPZEIT-owned work. Human oversight and realistic validation come before claims of autonomy.
No unverified results
No claims of proven trading profitability, production-level AI capability, or established Amazon sales from work that is still under research.
High-impact actions stay gated
Data review, permissions, deterministic checks, and explicit authorization come before operational decisions.
Privacy and responsible development
Research systems, credentials, internal logs, and sensitive implementation details are not exposed on this public website.
06 / CONTACT
Let's build with clarity.
For business inquiries and legitimate technical collaboration, reach OPZEIT through its company domain. We do not offer investment advice or manage third-party trading accounts through this website.