AI & Agents

AI in production, not in a demo.

We bring copilots, agents and machine learning into your processes as real software — versioned, evaluated and monitored — with a senior owner accountable for the result. Systems that hold the load, not prototypes that break on the first real user.

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AI & Agents

AI in production, not in demos.

Copilots, agents and machine learning inside your processes — as real software.

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What we do

  • 01

    Chatbots & AI agents

    Assistants and agents that answer on your data and take repetitive tasks off people, staying reliable under real load — with evals, guardrails and human oversight keeping them under control in production.

  • 02

    Applied machine learning

    Sharper, cheaper decisions on forecasting, anomalies and optimization, with measurable value on the bottom line — models chosen to run in production, not to impress on a slide.

Related case studies

  • Framework Agenti FE Storybook01

    Component library for agentic frontends

    Next.js web application with customized shadcn/ui components for interfacing with configurable LLM flows and ChatGPT-style question-answer chats.

    21Agentic UI components
    25+Storybook stories
    • NEXT.JS
    • shadcn/ui
    • Design system
  • AI Network Assistance Project02

    AI chatbot for helpdesk operator support

    Internal AI assistant and AI widget for BPPB branch operators: it answers operational questions, guides procedures and continuously learns from real tickets and official manuals.

    WIPKnowledge in validation
    −40%Ticket creation
    • NEXT.JS
    • PostgreSQL
    • OpenAI
    • Vercel AI SDK
  • BandiAI03

    Intelligent pipeline for subsidized-finance tenders

    Automated scraping and analysis system for Italian public tenders, with structured extraction from official documents and scoring of eligible companies.

    200+Tenders monitored
    <3sExtraction per document
    • Python
    • TypeScript
    • Browserbase
    • Vertex AI
    • React
  • SalesForce Documentation04

    Agentic remediation of SalesForce knowledge

    Optimization of the Salesforce Knowledge Base through review, reorganization and intelligent categorization of company content. Development of an AI Agent for user support, able to provide immediate contextual answers based on company knowledge.

    400+Pages analyzed and rewritten
    −70%Search time
    • NEXT.JS
    • PostgreSQL
    • Claude
Portfolio

Our stack

Technology chosen to last in production, not for hype. The stack adapts to the problem — these are the tools we build on most, where our teams are senior and that your team can run without depending on us.

  • Next.js
  • OpenAI
  • Claude
  • Vercel AI SDK
  • Vertex AI
  • Python
  • shadcn/ui
[ 03 / Let's talk ]

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Hit start and talk to me like you would to a colleague. I'll ask a few questions to understand exactly what you need.

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