Governed intelligence, not guesswork

Governed intelligence.
Built for accountability.

Cast Net Technology builds Governed intelligence, not guesswork, 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.

Luminous cast net of blue data connections thrown across a dark ocean of glowing nodes and circuit paths
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 Governed intelligence, not guesswork 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.

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.

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Why Governed intelligence, not guesswork?

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 Governed intelligence, not guesswork 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.