Binov AI Engineering Partner
We help companies design, build, and scale digital products with senior guidance, strong execution discipline, and scalable engineering support.
Services
Binov combines AI, product engineering, and delivery structure to move initiatives from strategy to production.
Design and deploy production-grade AI agents that automate repetitive workflows, orchestrate business actions, and keep humans in control.
View AI Agents Development for Operations and Product TeamsWe design and build AI-powered digital products from idea to production, combining product thinking, software engineering, and delivery discipline.
View AI Product StudioAutomate repetitive and high-friction workflows using AI, integrations, and orchestration to improve speed, reliability, and operational efficiency.
View AI Workflow AutomationScale product delivery with flexible engineering capacity, senior oversight, and a structured execution model supported by Binov's Tunisia delivery base.
View Scalable Engineering DeliveryGet senior technical leadership for architecture, team structure, product alignment, and execution decisions without hiring a full-time CTO.
View CTO as a ServiceDelivery Model
Commercial leadership in France paired with a structured engineering delivery base in Tunisia.
Our model combines strategic leadership with hands-on delivery.
This means clients can work with a senior team on product, architecture, and execution, while also benefiting from a robust engineering team able to deliver fast and scale with demand.
Our delivery is supported by a 20+ person engineering team, enabling flexible capacity without compromising quality.
Trust Signals
Commercially led from Paris and supported by a 20+ person engineering team in Tunisia.
Primary phone: +33 1 84 23 89 39
Use our decision framework before committing to one delivery model.
How Teams Engage
Binov combines senior leadership with hands-on engineering capacity so product priorities move from planning to production without hand-off gaps.
Senior steering from day one
A partner-level lead stays accountable for product scope, architecture decisions, and delivery quality.
Embedded execution pod
A focused team runs implementation sprints and adapts capacity based on roadmap pressure.
France + Tunisia operating model
Commercial leadership in France with a structured engineering execution base in Tunisia.
Flexible scaling without losing control
Capacity increases are coordinated through the same leadership layer to keep standards and velocity aligned.
No fabricated case studies. This is the real engagement model we use with teams.
Quick FAQ
A concise set of practical questions about model choice, startup speed, and engagement setup.
Leadership
Binov is led by three partners spanning product, engineering, infrastructure, and business strategy.
Engineering & Infrastructure
Sofiane brings strong expertise in engineering, backend systems, DevOps, infrastructure, scalability, and reliability. His role supports the robustness and operational quality of the solutions delivered by Binov. ---
Product & AI Engineering
Bessam works at the intersection of product execution, software engineering, and AI integration. His role is to help turn business and product needs into scalable technical solutions, while keeping delivery grounded in real execution. ---
Companies We've Worked With
Our leadership team has delivered products and scaled operations with companies across industries. These are some of the teams we've worked with.
Aktisea
Allianz Trade
Servier
Areás
Atos
Bouygues Telecom
CityZ Media
Docaposte
BNP Paribas
MaVisiteMedicale
Société Générale
Source Paris
Veepee
Vinci Construction
Insights
Practical perspectives on AI product strategy, workflow automation, and engineering delivery.
A practical framework to scope AI product initiatives with clear outcomes, technical constraints, and delivery milestones before engineering starts.
Published on May 1, 2026
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How product teams scale execution speed and engineering capacity through a structured France Tunisia operating model with senior oversight.
Published on May 1, 2026
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Use this checklist to validate process stability, data quality, and governance before launching AI workflow automation in production teams.
Published on May 1, 2026
Read articleWe can align product direction, technical delivery, and team structure around your priorities.
