Is your startup putting code, user data or product strategy into a cloud AI without knowing where it ends up? For Barcelona teams that need to move fast without giving away their intellectual property, we combine Tiiny AI Pocket, able to run models of up to 120B parameters locally, with custom development: agents, internal copilots and AI prototypes, with no bills that grow with every user.
Sovereign On-Premise AI with Tiiny AI for Startups and Scale-ups in Barcelona
In the Barcelona startup ecosystem speed is everything, but so is protecting your product in front of investors and competitors. Tiiny AI Pocket runs open source models with no cloud and no per-token fees, so you can experiment with agents and copilots without costs spiraling as you scale. At MiTSoftware we turn that hardware into useful tools for your team in weeks, not months, integrated with your current stack.
Internal copilots over your code and documentation, without exposing them.
Prototypes with sensitive data in a controlled environment from the start.
Financial data analysis without relying on an external cloud AI provider.
Customer support and product descriptions generated locally.
AI tools for design and scripting that protect your intellectual property.
Working with client information without sharing it with third parties.
Source code, roadmap, metrics and user data are the assets your investors value. With a model running on Tiiny AI Pocket, your team can use AI to code, analyze and write without that information leaving the office. We set up the environment, define which sources it can access and keep a usage log, which also scores points during a technical due diligence.
In a scale-up, every new cloud AI user is another line on the invoice. With local AI, the cost is the hardware and our development, not each query. We build agent and copilot prototypes to validate ideas fast and, once they work, take them to production and integrate them with Slack, your code repository or your support tool.
An assistant that knows your product, your technical documentation and your processes, without exposing them.
We automate ticket replies, lead classification or report generation, all running locally.
We connect the model to Slack, GitHub, Notion or your database through its API.
We validate use cases with your team before investing in a full development.
We test open source models and pick the one that performs best for each task.
We adapt and extend the solution as your team, your product and your needs grow over time.
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