Serious systems for AI, data, automation and Odoo
STYD is a specialist engineering company that designs, deploys and supports AI, data, automation and Odoo systems used in real business operations. Every solution in our catalogue is built from the same connected foundation: data, AI, automation, Odoo and custom business software, so a single project can bring several services into one system. It takes on work from focused implementations to larger multi-system engagements, each with clear technical ownership.
Clear technical ownership from architecture to delivery
Florian Assous is the founder and technical lead of STYD. He leads architecture, technical direction and quality, giving clients direct access to the person responsible for the system's design. Larger engagements may involve additional engineers working under a shared architecture and clear technical direction.
More than a decade of hands-on experience designing, building and maintaining production software, automation, data infrastructure and business systems. This includes more than two years of continuous technical ownership for the production data infrastructure of a US marketing company, alongside long-term systems work and freelance engagements for organizations in Europe and other markets.
That work spans databases, APIs, business intelligence, Make.com, Odoo, AI workflows, custom applications and production infrastructure.
Florian Assous
Founder & Technical Lead
Practical AI, data and automation systems for real business operations
Connecting systems around real business work
Most businesses do not have a software shortage. Their data already lives in databases, Odoo, CRMs, spreadsheets, APIs and everyday operational tools. The real trouble is that these systems rarely talk to each other cleanly. Reporting is slow, useful work stays manual, and AI usually sits off to the side, disconnected from the very data that would make it worth having.
STYD exists to close that gap. We connect AI, data, automation and business software into systems people actually use, instead of adding one more isolated chatbot or a dashboard no one opens.
The belief underneath it is simple. AI should work against real business data, respect the rules a company already runs on, and produce results someone can check. Whatever gets built should move a real process forward, not stand around as a technical demonstration.
A direct and accountable way to build
Four principles shape how STYD works with clients.
Clear Technical Ownership
Every engagement has clear architectural and technical accountability. Clients work directly with the technical lead responsible for the design and the outcome.
Long-Term Architecture
Systems are built to stay readable and maintainable, so the next change is usually an addition rather than a rebuild. In practice that means documented decisions, clear ownership of data, integrations kept under control, validation, and deployments you can rely on.
Business-Driven Engineering
Work starts from the outcome you need and how information really moves between your teams and tools. The technology choice comes after that picture is clear, which keeps a project focused and avoids building things you will not use.
AI Connected to Real Business Systems
AI here connects to the places a business already runs: databases, Odoo, documents, APIs and daily workflows. Results are kept controlled and checkable where possible, and anything sensitive can wait for a person to approve it.
One foundation behind the full catalogue
The STYD catalogue lists more than 90 services, and it keeps growing. That range is not 90 separate trades. It is many business outcomes drawn from one connected foundation, which is why a single project often brings several catalogue services together into one system. The catalogue helps you and your team put a name to what you need, while the real work is scoped around the systems and priorities you already have. Six capabilities sit underneath all of it.
Data Systems & Business Intelligence
Bringing business data into one place it can be trusted, then turning it into reports and answers people can act on. This is the ground the rest of the work stands on, including STYD's own question-and-answer product.
AI Workflows & Business Assistants
Assistants and AI steps wired into real operations: reading documents, classifying incoming work, drafting responses, and answering questions from your own data, with checks around the parts that matter.
Automation & API Integration
Connecting the tools a business already runs so information moves on its own. Leads, records, reports and alerts pass between systems instead of waiting on someone to copy them across.
Odoo Engineering
Linking Odoo to reporting, automation, external applications and AI, with controlled read-only access through the STYD connector. Projects may also cover infrastructure, upgrades and custom operational workflows.
Custom Applications & Portals
When off-the-shelf tools do not fit, building the web apps, internal dashboards and client or partner portals a business needs, made to sit cleanly next to its data and automation.
Production Infrastructure & Reliability
Putting systems live so they stay live: monitoring, backups, sensible access controls and the quiet maintenance that turns a working prototype into something a business can depend on.
Systems already built and running
The clearest sense of how STYD works comes from systems it has already built and kept running. Two are client production systems, described without naming the companies; two are STYD's own platforms.
Marketing Data & Automation Infrastructure
A production system for a US marketing and lead-generation company, built and maintained over more than two years. It connected advertising, CRM, lead and operational data, then ran lead processing, synchronization, reporting and data-quality checks across the business. Much of the automation lived in a large-scale Make.com organization made up of many interconnected production automations. As much as building it, the engagement was about running it responsibly over time: long-term production support, debugging, maintenance and continuous improvement.
Business Operations & AI Automation
A connected body of work for a European education and coaching company, spread across several parts of the business rather than a single application. It covered accounting assistance, HR-related workflows, school and student management, reporting and operational automation. On top of that sat AI-assisted business processes: classifying calls, extracting information from invoices, turning transcripts into content, certification-related steps, sales coaching, student performance analysis, and sorting forms and applications for review. Taken together it involved business-process analysis, AI orchestration and document processing across departments.
Speak To Your Database Platform
STYD's own product: a multi-tenant SaaS platform that lets people ask questions of their business data in plain language. It connects to Odoo, PostgreSQL and MySQL, runs queries read-only under controlled handling, and uses a DataGuide layer to understand each database's structure. Answers can show the SQL or provenance behind them, so a result is something you can check rather than take on faith. Around that sit authentication, workspaces, roles and visibility controls, billing and credits, admin tools, a client portal, documentation and multilingual public pages, plus a secure read-only Odoo connector published for Odoo 15 through 19. It works as a product today, on an architecture designed to scale.
Lead Generation, Partner & AI Sales Platform
STYD's internal platform for growth and partner-assisted sales. The core platform is complete: it runs from lead sources through enrichment, qualification and assignment into a partner workflow, and on to opportunity tracking. Partner onboarding, training, assessments, administration and the partner portal are all part of it, together with lead qualification, lead assignment, AI sales coaching and call feedback. Future growth comes from adding new lead sources, integrations and further capabilities, not from completing the core.
From business problem to maintained system
The shape of a typical STYD project. Most engagements move through these five stages, though not every one follows them to the letter, with Florian leading architecture and technical direction throughout.
Get clear on the business process, the systems and people involved, the constraints, and what a good outcome actually looks like.
Map the data flows, risks and integrations, then agree a concrete scope and plan before any major build starts.
Build in increments, test against realistic data, and check results with you as the work takes shape rather than at the very end.
Put the system live carefully, document how it works, and make sure your team understands the operating model.
Keep an eye on it, fix what comes up, and add new layers as the business changes.
The work in more detail
Two places to look next: the technical detail, or the background behind STYD.
Universal DB AI
Practical technical guides, implementation patterns, database and Odoo resources, infrastructure notes and demonstrations.
universal-db-ai.comFlorian Assous — Portfolio
Florian's broader background: selected projects, the range of systems he has delivered, and the experience behind STYD.
flo-portfolio.comStart with a conversation
Bring a business problem, a system that should work better, or an AI, data, Odoo or automation project you are weighing up. If you are not sure which catalogue service fits, that is a good reason to get in touch too. You will speak directly with the person responsible for the project's architecture and technical direction.