AI and software, built by a team that ships it.
Our approach
We build tools your team actually uses, not shelfware. Software sized to the operation.
Custom software is what you build when the tool you can buy would make your team work its way instead of yours. Internal apps, automation, AI agents — scoped to one operational problem, not to a market. Built from Lake Mary, delivered across Florida and out of state.
Our team has spent years building AI systems and automation in environments where accuracy and compliance are non-negotiable — including inside an industry-leading international bank. That regulated-grade discipline comes with every OpSight USA engagement: real AI enablement, scoped to a problem, built to hold up.
When is custom software worth building? When the tool you can buy would cost more in workarounds. Scoped small, shipped in weeks.
01
AI enablement.
- AI agents, LLM-powered workflows, and automation that actually cuts time out of the operation. Built with guardrails, in regulated-grade discipline.
02
Custom software.
- Internal apps and tools sized to the operation, not the market. OS× started here.
03
Automation.
- Workflows that run the moves your team does by hand — email, status updates, hand-offs, document routing — with human checkpoints where they matter.
Asked before every build. Four answers, then a conversation.
- What kind of software and AI does OpSight USA build?
- Internal apps, automation, AI agents, and LLM-powered workflows — plus the integrations that stop the tools you already pay for from fighting each other. Designed and deployed end to end, around the operation it’s meant to fix.
- When should I build custom software instead of buying a tool?
- When off-the-shelf tools force your business to work their way instead of yours. We use off-the-shelf where it fits and build custom where it doesn’t — often the honest answer is “buy it”, and we’ll say so.
- Is this real AI, or a wrapper?
- Real. Our team has spent years building AI systems and automation in environments where accuracy and compliance are non-negotiable, including inside an industry-leading international bank. We build the system, with guardrails — not a thin layer over someone else’s.
- What happens when the AI gets something wrong?
- It gets caught. Every workflow we ship has human checkpoints where the cost of being wrong is real, and the automation runs the moves your team already does by hand — so a bad output is a step someone reviews, not a decision nobody saw.