Pigfox LLC
Builds production AI integrations, audited smart contracts, and Go backends for teams
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Overview
Pigfox is a systems engineering studio for teams that need production-grade AI features, auditable smart contracts, and Go backends. It targets companies that require verifiable on-chain behavior, robust backend systems, or practical online tools for security and SEO.
The offering includes AI integrations, fuzz-tested and lint-gated smart contracts deployed live on Base Sepolia, and a collection of runnable Go and systems labs. The site hosts interactive demos, tools for OSINT and SEO, and a flagship Market Verdict product that produces structured, AI-driven business viability analyses. Contracts are statically analyzed, invariant-fuzzed by two engines, coverage-gated, and published with addresses and source for inspection.
Customers get deployable production systems with verifiable outcomes: auditable on-chain settlements, Go backends built for long-term operation, and practical tools that surface evidence before AI interpretation. Pigfox also stays on projects after delivery to support ongoing production needs.
LaunchIt data
Pigfox LLC on LaunchIt
Pigfox LLC launched on LaunchIt on September 13, 2026, in Startup and Small Business. Since launch it has collected 1 upvote and 621 page views.
- Launched
- Sep 13, 2026
- In category
- #15of 38 in Startup and Small Business
- Upvotes
- 1
- Page views
- 621
- Rating
- None yetBe the first
Live numbers from LaunchIt. Ranks count upvotes, then page views.
At a glance
Pigfox LLC in a Nutshell
Who is it for?
Teams and companies needing production-grade AI integrations, auditable smart contracts, and reliable Go backends.
Problem
Many organizations struggle to deploy AI features that are verifiable and auditable. They also face risk with smart contracts lacking rigor and with backend systems that wonโt scale or endure long-term operations. There is a need for practical tools, demonstrations, and ongoing support to ensure security, reliability, and verifiability in production.
Solution
Pigfox provides a systems engineering studio that delivers AI integrations, auditable smart contracts, and Go backends, all deployed with verification and live on-chain behavior. It includes fuzz-tested, lint-gated contracts with published addresses and source, runnable Go labs, interactive demos, and ongoing post-delivery support for production needs.
What makes it unique
What differentiates Pigfox is the end-to-end focus on verifiable outcomes: contracts that are statically analyzed and invariant-fuzzed by two engines, live on Base Sepolia with source accessible, and production Go backends designed for long-term operation. It combines AI features, security-focused OSINT/SEO tools, and a Market Verdict product that analyzes business viability with AI-driven structure, all backed by ongoing support.
In practice
Use Cases
Integrate AI features into existing apps
Deploy auditable smart contracts on Base Sepolia
Build production-grade Go backends
Run OSINT and SEO tooling for sites
Inspect verifiable on-chain settlements
Review business viability with AI analysis
Compare
Pigfox LLC vs similar tools
How Pigfox LLC compares with Zinn Hub Freelance Marketplace, DirPilot and Market Verdict, other Startup and Small Business products on LaunchIt.
| Product | Pricing | Rating | Upvotes | Launched | |
|---|---|---|---|---|---|
| Not listed | No reviews | 1 | Sep 13, 2026 | ||
| Freemium ยท From $25/mo | No reviews | 9 | Sep 4, 2026 | ||
| Freemium | No reviews | 2 | Oct 7, 2026 | ||
| Not listed | No reviews | 2 | Sep 10, 2026 |
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I'm a solo engineer, and Pigfox is both my shop and my proof. The problem I kept hitting: everyone selling AI and blockchain work shows you a deck. Nothing runs. So pigfox.com is the opposite โ about 30 live demos and 27 Go tools you can click right now. Six contracts on Base Sepolia (zk escrow with a real Groth16 proof, RWA tokenization, a 2-of-3 oracle running parametric insurance), a Solana program on devnet, policy engines compiled to WASM, an SGP4 satellite propagator. What changed while building it: I started publishing the runs that failed. One demo has a model make blind predictions against a real federal loan dataset โ predictions locked before grading, graded by published code. It barely beat chance, and the page says so, misses shown. That honesty turned out to be the part people actually trust. These days I do the same thing for clients: mimic the workflow you already have, make it faster and cheaper, keep headcount flat. Go backends, contracts through a Foundry/Slither/Echidna pipeline, AI wired into something real instead of a chat box. Ask me anything about how any of it is built โ I'll show you the repo.