Nexa determines where AI produces return for Caribbean enterprises, engineers the systems that deliver it, and deploys its own products on client infrastructure.
Client engagements scoped to one institution. AI Consulting determines what to build. AI Engineering builds and deploys it.
A fixed-scope assessment that returns a ranked, costed, and sequenced roadmap the client owns, with AI governance and model selection where the roadmap requires them.
Customer-facing AI products and internal AI systems built to a written specification by ML engineers, software engineers, product managers, and designers, then deployed in the client's environment.
Every consulting and engineering engagement fixes what to build before engineering starts. Each stage closes with a written output the client reviews.
View the approachA 30-minute call establishes the problem, the users, and the systems the work must integrate with.
Data, workflows, and systems are reviewed against candidate use cases, then ranked, costed, and sequenced.
Deliverables, timeline, and acceptance criteria are fixed in writing for the first build.
ML engineers, software engineers, product managers, and designers ship working software in short increments.
The system goes live in the client's private cloud or on-premises infrastructure, with release evaluation and monitoring.
Documentation and training transfer operation of the system to the client's team.
Caribbean sectors where documents, bookings, and customer service carry the operational load.
Explore industriesGuest service, reservations, rentals, and tour operations.
Customer onboarding, document review, compliance workflows, and client service.
Citizen services, records management, and case handling.
Port operations, shipping, fleet management, and customs documentation.
Nexa also develops its own AI products and takes them to market. OmniVision is a video intelligence platform that converts every camera feed into an indexed, written record for search, investigation, and evidence, with inference running on hardware at the client's site.
Natural-language queries across live feeds and archives, ranked by relevance and scoped by camera, group, and time window.
Written answers to questions about recorded footage, with every statement cited to its source clip and follow-up questions held in context.
Signed exports with a SHA-256 hash manifest, an append-only audit log, and role-based access for administrators, supervisors, guards, and auditors.
Inference on a local language model at the client's site. Ingests RTSP, ONVIF, and HTTP streams, Ring devices, and S3, Azure, and Google Cloud archives.
Send a short description of the operation and the problem. A 30-minute scoping call follows.