Less repeated work
Automation where there are today parallel spreadsheets, manual copying and double-checking that eats up the team.
Tensoor builds apps, platforms and applied AI. Small teams, short cycles and code your team can actually maintain — with decisions, processes and learnings organized so the product keeps evolving.
First conversation is technical · no cost · 30 min
Software, design and AI come from the same team — the group that designs the screen understands the queue, the database, the model and the ERP. That's what keeps integration from becoming a separate project.

Web platforms, mobile apps, portals and APIs built for your process — and for the operation's real volume.
Before choosing a framework or a model, we define which friction needs to disappear and how to recognize a delivery that worked.
Automation where there are today parallel spreadsheets, manual copying and double-checking that eats up the team.
Data, history and business rules brought together in one interface that shows what actually needs attention.
Code, infrastructure and documentation organized so the product keeps growing with or without Tensoor.
The sequence matters: each step only starts once the previous one produced something you can see and approve.

First, we understand the work as it actually happens.
One team from start to handoff
Software that shipped and became the operation.
A multi-professional mental health clinic in São José (SC, Brazil) with no digital presence of its own — patients only arrived through referrals.
Open projectSome projects need to be born; others are already in production and need to break through. The model changes, but the team stays close and accountable for the delivery.
For a defined problem, with a clear start, delivery and acceptance criteria. Discovery turns the request into a timeline and price before building starts.
For products in production that need recurring improvement cycles, technical follow-up and priorities adjusted as the business learns.
For internal teams that need senior capacity on a specific front, while keeping decisions, repository and routine integrated with the company's team.
If your question isn't here, just bring it to the first conversation — that's exactly what it's for.
We step in when there's too much manual work, a product that needs to get off the ground, or a team that needs to turn data and AI into something actually usable. We build apps, platforms, integrations and automations for continuous use. If the best answer is not to build anything, we say that upfront too.
Based on the product's context, the team that will maintain the system, and the risks of the operation. We frequently use React and React Native, Node, Python, PostgreSQL, Redis and AWS, plus search and AI tooling when it makes sense. The choice needs to be understandable, sustainable and fit for the problem — not a technology showcase.
Yes. We can investigate bottlenecks, organize a codebase that's hard to evolve, or take over new parts of the product. Before promising changes, we read the code, the infrastructure and the current workflow. That way the plan comes from what we find, not from a guess made in the dark.
First we understand the problem, the constraints and who needs to use the solution. Then we organize the decisions into a technical discovery and, when it helps, a clickable prototype. Building happens in short cycles, with visible deliveries and room to adjust course. In the end, the knowledge, the code and the access stay with your company. See the steps.
Companies that already have a concrete operation and want to gain clarity, speed or capacity. Many are between ten and two hundred people and don't yet have a product and engineering team sized for that challenge. The deciding factor is having someone close by to make decisions and a problem worth solving.
Yes. Before talking about screens and tasks, we put the problem in order: who will be served, which flow needs to improve, what's essential in the first version, and how we'll know it worked. That clarity keeps us from spending time on features that look good but don't move the outcome.
You can start on the contact page or by email at [email protected]. We schedule an initial 30-minute conversation to understand the scenario. Once the main decisions are mapped out, we present a scope with timeline, investment and next steps — without hiding the uncertainty behind a generic range.
Is there a process holding the operation back, or a product that needs to get off the ground?Bring the context. We help sort out what needs software, what can be automated, and what's not worth building yet.
The first conversation is technical.