AI-Last Engineering

Governed intelligence.
Built for accountability.

Cast Net Technology builds AI-last, audit-grade software—engineered for control, observability, and defensible outcomes. We design systems where automation is earned through constraints, provenance, and operator control—not assumed by default.

Our Moat

AI is a controlled, gated component—not a default.

In most software shops, AI is added early and trusted unconditionally. We invert that model. Automation is introduced only where constraints, evidence, and review gates justify it—and never silently.

Every AI-assisted output carries provenance. Every decision has an audit trail. Every ambiguous case gets a "needs review" flag, not a guess.

Read our AI-Last Manifesto →
Provenance-first: every output traces back to a source document, field, or operator action.
Deterministic evaluation: PHI-safe synthetic datasets enable regression-safe releases.
Operator control: configurable policy layers, review gates, and kill switches across every product.
Shadow mode: new automation runs in parallel, read-only, until validated against baseline.
Conservative binding: ambiguous conditions surface as flags, not confident assertions.
On-prem by default: your data stays inside your infrastructure unless you choose otherwise.
Licensed Products

Domain-specific products,
governed by design.

Each licensed product is purpose-built for a high-stakes vertical where accuracy, traceability, and operator control are non-negotiable. No general-purpose wrappers. No black-box automation.

Collectibles Commerce Automation

Inventory & Commerce Automation — Coin & Collectibles

Barcode scan → PCGS/NGC API prefill → Google Sheets command center → multi-platform sync. Indexed inventory database with full audit trail.

Explore product →
Business Operations

Spreadsheet & API Operations Automation

Harvest API integration, .NET intermediary service, and Excel dashboards for real-time contractor hours, project burn rates, and budget roll-ups.

Enquire →
Why AI-Last?

Proof over promises.

Most AI products are built to impress in demos. We build for the moment after deployment—when an auditor asks "how did you reach that conclusion?" and a wrong answer has real consequences.

Regulated domains demand defensibility

In healthcare, finance, and high-value commerce, the cost of a confident wrong answer is asymmetrically higher than the cost of a "needs review" flag. We design for that asymmetry.

Automation must be earned, not assumed

Every automated step is introduced only after constraints are defined, edge cases are enumerated, and a deterministic test set validates behavior. Velocity follows rigor, never the reverse.

Operators stay in control

Policy layers, review gates, kill switches, and shadow mode are first-class features—not afterthoughts. The system supports your judgment; it does not replace it.

Governance is architecture, not a checkbox.

Our AI-Last methodology—provenance, constraint-driven automation, shadow mode, and regression-safe releases—is documented and central to every product. Read the full governance framework →

Ready to build something defensible?

Talk to an engineer about your domain, your constraints, and what audit-grade automation could look like for your team.