Custom AI Development
Custom AI SaaS,
built to earn revenue
We design and build AI-powered SaaS platforms that solve a real business problem and hold up in production. From first MVP to multi-tenant scale, one team owns the architecture, the AI, and the delivery.
Platforms we've shipped to production
SaaS built around your problem, not a template
Most SaaS gets built twice: once as a demo that impresses, then again when it has to survive real users, real data, and real load. We skip the first version. SensViz designs your platform as production software from day one — the data model, the AI pipeline, the integrations, and the infrastructure are all built to scale before you onboard your first paying customer.
We work with founders launching a new product and with established teams adding AI to an existing platform. In both cases the goal is the same: software that earns revenue, not a proof of concept that stalls.
What we build
Four ways to ship your platform
Whether you are launching a first product or adding AI to one you already run, each engagement maps to a dedicated capability.
A focused, fundable first version — fast, without technical debt.
Multi-user, role-based platforms built for business customers.
Add intelligence to a product you already run in production.
One secure codebase serving many customers — and legacy uplift.
The full stack
One team owns the whole stack
No stitching together three vendors and hoping the seams hold. SensViz designs the data model, trains and serves the AI, builds the product, and runs the infrastructure — so accountability never falls through a gap.
How we deliver
A five-step path, tied to outcomes
Every engagement runs the same way — so you always know what happens next and why it matters to the business.
Discovery call
We map your workflows, users, and where the product has to win.
Discovery call
We map your workflows, users, and where the product has to win.
Opportunity mapping
We identify the features and AI use cases that drive revenue, retention, or cost savings.
Opportunity mapping
We identify the features and AI use cases that drive revenue, retention, or cost savings.
Solution design
We architect the platform — data model, AI pipeline, integrations, and infrastructure.
Solution design
We architect the platform — data model, AI pipeline, integrations, and infrastructure.
Build and deploy
We develop, train, and ship the product into your stack — fully functional, not experimental.
Build and deploy
We develop, train, and ship the product into your stack — fully functional, not experimental.
Optimize and scale
We monitor performance, refine the AI, and scale what works.
Optimize and scale
We monitor performance, refine the AI, and scale what works.
Customer story
We turned manual grant research into instant, personalized matches — surfacing best-fit funding across renewable energy, smart tech, healthcare, and agriculture.
GrantMatch combines large language models, a recommendation engine, and a vector database into one platform — a working example of the full stack we bring to a custom AI SaaS build.
Why SensViz
The best of a product team and an AI lab
Four reasons teams trust us to build software that has to work on day one and still work at scale.
End-to-end ownership
One team for data, model, product, and deployment.
Production-first
Software that ships and scales, from data prep to monitoring.
Human-centric AI
Intelligence that augments your users, not complexity.
Proven across industries
Measurable outcomes in renewable energy, healthcare, smart tech, education, and agriculture.
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Related services
Frequently asked questions
A focused MVP typically takes 8–16 weeks. A full multi-tenant platform takes longer. You get a phased timeline after the discovery call.
Yes. Many clients are domain experts without an in-house engineering team. We handle the technical decisions and explain them in plain language.
You do — the codebase, the models, and the data.
Let's build your platform
Tell us about your product and we'll map the fastest path to a production-ready AI SaaS.
