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Pigfox LLC

Pigfox LLC

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Builds production AI integrations, audited smart contracts, and Go backends for teams

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About

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.

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 wonโ€™t 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

1

Integrate AI features into existing apps

2

Deploy auditable smart contracts on Base Sepolia

3

Build production-grade Go backends

4

Run OSINT and SEO tooling for sites

5

Inspect verifiable on-chain settlements

6

Review business viability with AI analysis

Good to know

Frequently Asked Questions

What is Pigfox?

Who is Pigfox for?

Does Pigfox offer a free plan or pricing information?

How does Pigfox work with smart contracts?

What are the key features of Pigfox's offerings?

Which platforms and integrations does Pigfox support?

How is Pigfox different from typical AI or contract firms?

Is data or contract security handled by Pigfox?

How do I get started with Pigfox?

What kind of post-delivery support does Pigfox offer?

What is Market Verdict and how does it help?

Behind the product

Meet the Maker

Peter Sjolin

Maker of Pigfox LLC ยท On LaunchIt since 2026

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Discussion

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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.

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