Cast Net Technology is a privacy-first, on-prem product engineering shop. We build high-trust software for domains where the cost of a confident wrong answer is high and the value of an auditable right one is higher.
We started Cast Net Technology because we kept seeing the same pattern: organizations adopting AI-powered tools that couldn't explain their outputs, couldn't be audited, and couldn't be safely deployed in any environment where the word "compliance" appeared in a sentence. The tools were impressive in demos. They were indefensible in practice.
Our mission is to build the alternative: software where every output has a source, every decision has a trail, and every operator retains the right to review, override, or halt. We call this Governed intelligence, not guesswork engineering—not because we're opposed to AI, but because we insist it earns its place in the system through constraints, evidence, and governance rather than assuming it by default.
The name "Cast Net" reflects how we think about intelligence: broad, structured, and purposeful—not indiscriminate. A cast net catches what's there, not what you hope is there. It leaves a record. You can see what it found and decide what to keep.
"Cast Net Technology builds Governed intelligence, not guesswork, audit-grade software—engineered for control, observability, and defensible outcomes."
The domains we serve—healthcare, finance, and high-stakes business operations—are demanding precisely because the stakes are real. A chart coding error affects a patient's risk profile. A market decision made on bad intelligence has financial consequences. The difficulty of these domains is why the software matters.
We start from what we can prove, not what sounds compelling. Every claim in our software has a source. Every finding in our outputs has provenance. When the data is ambiguous, we say so. We do not paper over uncertainty with confident-sounding output.
This extends to how we talk about our products. We describe capabilities accurately and acknowledge limitations plainly. We do not overpromise. We do not write disclaimers that contradict the marketing copy above them.
We build the minimum automation that a defensible system requires. Not the maximum that current AI can produce. The discipline of restraint is what prevents silent capability drift, scope creep into unsafe territory, and the slow erosion of operator control that happens when automation is assumed rather than earned.
Restraint is also what makes our systems legible. A system that does less but explains it fully is more trustworthy than one that does more but cannot say why.
The test we apply to every design decision is: can a domain expert, auditor, or operator stand behind this output? Can they explain it? Can they challenge it? Can they trace it? If the answer is no, we redesign until it is yes.
Defensibility is not a compliance posture. It's an engineering posture. A defensible system is one where the failure mode is a visible flag, not a silent error. Where the audit trail exists, not just the final number.
We've spent years building software in domains where the consequences of getting it wrong were real and traceable — not just a bad user experience, but a wrong chart, a bad position, an inventory error that couldn't be explained. In each of those domains, we saw the same pressure: move faster, add more AI, automate more steps, and deal with the exceptions later.
We built Cast Net Technology to operate differently. We introduce automation conservatively—only where the constraints are defined, the test cases are written, and the operator has a clear view of what the system is doing and why. That's not a slower approach. It's a more durable one. It produces software that operators trust, that auditors can review, and that doesn't break silently when the edge cases arrive.
If you're building in a domain where "it seemed confident" isn't a sufficient answer, we'd like to talk.
— The Cast Net Technology team
We build purpose-built licensed products for specific domains. We do not sell a general-purpose AI platform, a no-code builder, or a horizontal SaaS product. Every product is designed around a domain's specific evidence requirements, failure modes, and governance needs.
We build research and decision-support tools. We are not registered with FINRA, the SEC, or any financial regulatory body. We are not a healthcare provider, clinical coder, or compliance officer. Our tools support the work of qualified professionals; they do not replace it.
On-prem deployment is the default. We do not process your customers' data on our infrastructure as a routine part of our product delivery. Data handling decisions belong to our customers and their compliance teams.
Our products work best for organizations with specific, high-stakes problems that value auditability over speed. They are not the right fit for every use case, and we say so plainly when that's the case.
Truth-first, restraint, and defensibility aren't values we keep separate from our engineering decisions. They're the methodology. Read the Governed intelligence, not guesswork governance framework →
If what you've read here matches what you're trying to build, we'd like to hear about your problem.