SensViz is an AI software development company that builds custom AI systems and complete software products for startups and growing businesses. Our work includes agentic AI, Generative AI applications, automation, SaaS platforms, web apps, and mobile products.
Products and businesses built with SensViz
AI works best when the model, software, data, and operating process are designed together. SensViz keeps those decisions connected throughout the project.
We clarify the user, workflow, constraints, available data, and expected result before recommending an AI or software approach.
The AI capability is designed with the interface, application logic, data flows, APIs, and software people need to use it.
Existing databases, CRMs, business tools, permissions, and third-party services are considered before they become late-stage blockers.
We define where people need to review, approve, correct, or take over, especially when an AI output or action affects customers or business decisions.
Critical journeys, weak inputs, model uncertainty, workflow failures, and integration errors are considered before release.
Access, accounts, documentation, deployment responsibilities, support, and future changes are defined according to the agreed project scope.
Each project has different constraints, but the important decisions follow a clear order from discovery through release and improvement.
Define the users, problem, workflow, existing systems, constraints, and business outcome behind the project.
Confirm the information, integrations, permissions, quality targets, and operational conditions the solution must handle.
Choose a suitable AI and software architecture, then map the interfaces, data paths, actions, review points, and failure handling.
Develop the agreed components and connect them to the approved products, data sources, APIs, and business tools.
Evaluate the important workflows, prepare the release, observe real use, and prioritise improvements within the agreed support scope.
Choose the service that matches the main job. SensViz can build a specialist AI capability, connect it to an existing product, automate a workflow, or develop the software around it.
AI systems for prediction, recommendation, computer vision, natural language processing, and other tasks that must work with specific data, software, and operating constraints.
Explore Custom AI Development
AI agents that can reason through defined tasks, use approved tools, and complete multi-step work across connected systems with permissions, evaluation, and human oversight.
Explore Agentic AI DevelopmentRetrieval-based assistants, enterprise knowledge search, document workflows, multimodal applications, model integration, and LLM features tested for quality, cost, latency, and failure cases.
Explore Generative AI and LLM SolutionsAutomation for document handling, customer operations, CRM processes, approvals, reporting, and connected business tools, with exceptions routed to the right people.
Explore AI AutomationData preparation, integrations, dashboards, forecasting, and reporting that help teams understand performance and make informed decisions.
Explore Data and AnalyticsBusiness software and SaaS products designed around defined users, workflows, integrations, administration, and long-term product needs.
Explore Custom Software DevelopmentConversion-focused websites, web applications, and customer portals built for useful content, strong performance, and maintainable growth.
Explore Website DevelopmentNative and cross-platform mobile apps with the product design, backend integration, and release planning required for real use.
Explore Mobile App DevelopmentCloud strategy, architecture, migration, delivery automation, security foundations, and operations for the software your business runs on.
Explore Cloud Infrastructure and DevOpsThese projects show different ways AI can support a product or service. Each example identifies the problem, the relevant technology, and the SensViz role.

A grant-matching platform that uses large language models, a recommendation engine, and a vector database to help users find relevant funding opportunities.





A cover-letter product that uses large language models and natural language processing to generate content based on a user’s role and field.



A piano-learning product that uses computer vision to provide visual guidance while a learner plays.




A water-quality product that uses time-series forecasting to analyse trends and support water monitoring.

A flooring visualisation product that combines computer vision and augmented reality to preview flooring in a photographed space.



Testimonials
“SensViz's team was incredibly responsive and collaborative throughout the entire project. They delivered a solution that not only met our requirements but exceeded our expectations.”
Illya Hollander
Tech Lead, GrantMatch