Skills examined in practice.
NODINA Select: code, AI practice and collaboration reviewed by experienced peers.
AI-native Teams · Senior engineers across Europe & Latin America
Your senior AI team, built for you.
Ready to build in as little as 3 weeks.
NODINA brings together senior engineers selected across Europe and Latin America to build your product. Your team is fluent in AI tools and works directly in your codebase and workflows.
No equity · No recruitment fees
- Selection & approval
- 1 week
- To choose and approve your team.
- Preparation & onboarding
- + 2 weeks
- To prepare access, tools and priorities.
- First pull requests
- 3 weeks in total
- Your team starts delivering code for your product.
From a complete brief, subject to available engineers and access prepared with your team. Timeline agreed together.
Looking for a partner to deliver a complete AI system?
Explore AI Systems & TransformationPartnerships by invitation
We take on a limited number of new partnerships each quarter so we can stay closely involved in every project. An initial conversation helps us explore the fit.
NODINA at a glance.
NODINA builds your senior engineering team through AI-native Teams, our core offering. We select talent across Europe and Latin America and integrate engineers into your projects. As a complementary service, AI Systems & Transformation lets you entrust us with an AI system, from scoping through deployment. The two services can be combined around your needs.
An AI system connected to your business.
From scoping to evaluation, we build AI systems around your data, tools, and ways of working.
Engineering and teamwork.
The founder brings 15+ years in engineering, AI, scientific research, recruiting, and leading tech projects across France and the United States.
01 / Start with your need
What do you need to move forward?
AI-native Teams
Expand your team.
You have a product, a roadmap, or an existing team. You need senior skills or more capacity to make progress.
- Engineers working with your priorities and tools
- A team assembled for your needs, across Europe and Latin America
- Capacity that evolves with the project
You set the priorities. We bring the talent together and organize the collaboration.
Explore AI-native TeamsAI Systems & Transformation
Build an AI system.
You want to improve a business process or bring AI into your product. You need a partner to scope, build, and deploy the solution.
- A business need translated into a delivery scope
- A system connected to your data and tools
- Evaluation and handover planned from the outset
You define the objective. We take responsibility for delivery within the agreed scope.
Explore AI Systems & TransformationStill working out what you need?
You do not have to choose a service before speaking with us. A first conversation helps clarify your objective, resources, and what needs to be built. We define the right approach together.
02 / AI-native Teams
An experienced team, built around your needs.
Integrated with your team
Engineers work in your repositories, with your tools, priorities, and routines. Responsibilities and documentation remain visible.
Room to adapt
A focused addition or a dedicated team: scope and pace evolve with your needs. Duration, notice periods, and terms are set out in the proposal.
Aligned working hours
Nearby time zones and shared working hours support clear communication, timely decisions, and code reviews for a smooth delivery rhythm.
Continuity by preparation
Code review, shared context, and knowledge transfer support continuity. Handover and replacement arrangements are defined together.
| Your need | Traditional hiring | AI-native TeamsRecommended |
|---|---|---|
| Capacity | An operational team assembled around your product. | |
| Getting started | One week to choose and approve the team, then two weeks of preparation: first pull requests from three weeks in total, subject to availability. | |
| Equity | No equity stake. | |
| Recruitment | No recruitment fees. A scoped service priced through a clear proposal. | |
| Continuity | NODINA coordinates handovers and shared context under the agreed terms. | |
| AI practice | Structured selection with NODINA Select, covering AI tool fluency and teamwork. |
For expanding your product capacity
With NODINA, you bring in a product team assembled for your needs and selected through NODINA Select, with first pull requests possible from three weeks in total, subject to availability. No equity stake or recruitment fees. We stay involved in coordination, knowledge transfer, and how the team evolves: a technical partner for the long term, with clear working terms.
AI-native Teams · Talent selection
Engineers selected on evidence.
NODINA Select
We select senior engineers in Europe and Latin America for European and US clients. Experienced CTOs and lead developers assess their code, their use of AI and their ability to work as part of a team.
Code reviewed
Quality, tests and architecture decisions.
AI put into practice
Context, tools and verification of results.
Collaboration assessed
Communication, autonomy and accountability.
03 / AI Systems & Transformation
A business need.
A system ready for real operations.
From the initial idea to everyday use, we take responsibility for scoping, architecture, development, and integration. The objective is a useful, evaluated AI system your organization can operate.
What do you want to make possible?
Find the right information
A document assistant that searches your sources, cites its references, and respects access permissions.
Document search · RAGPut documents to work
A workflow that extracts, structures, and checks information, with human review at the points that matter.
Document intelligence · ValidationConnect your operations
A system that coordinates actions across your tools, with explicit responsibilities, boundaries, and monitoring.
Integrations · Agent workflowsThese examples describe possible systems, to be scoped around your data and constraints.
A complete scope. Tangible deliverables.
- Scoping & success criteria
- Use cases, users, data, and constraints. We define what the system should do and how to verify it.
- Architecture & implementation
- Code, integrations, and documented technical decisions. Existing tools are considered before custom development.
- Evaluation & reliability
- Tests, evaluation cases, error monitoring, and access controls. Quality is checked against your actual use.
- Deployment & handover
- Integration into your environment, documentation, and onboarding. Support and operations are scoped to the engagement.
AI-native TeamsAI Systems & Transformation
A team and a system.
One shared project.
Both services can work together: we can scope and build an initial system, then embed the engineers who will evolve it with your team. Or add capacity while the system is being built. The setup follows your need.
Combine both services04 / A shared standard of delivery
From scoping to operations.
The business need sets the direction. Real constraints — data, integrations, quality, and access — guide the technical decisions.
Scope
Understand the work to be done, the users, the available data, and the constraints.
Need · criteria · scopeDesign
Define the team, architecture, and how we work with your organization.
Team · architecture · responsibilitiesBuild & evaluate
Develop, test, and evaluate the system against representative use cases.
Software · tests · evalsIntegrate & operate
Connect the system to its environment and plan ongoing monitoring within the engagement.
Integration · monitoring · handover
Phases, deliverables, and responsibilities depend on the engagement. The proposal sets out the agreed scope.
AI-native in practice
Give AI the right context. Keep people accountable.
We connect AI tools, project context, and coordination between people and agents. Review, tests, evaluations, and explicit responsibilities are part of the engineering process.
05 / The founder
15+ years building
products and teams.
Jean-David Collard
Founder of NODINA
Engineering, AI & entrepreneurship
15+years of experience in technology
Jean-David Collard, founder of NODINA, brings more than 15 years of experience in software and AI engineering, scientific research, talent recruitment, engineering team leadership, and entrepreneurship.
He has built and led tech projects across France and the United States with six-figure budgets. His experience combines product delivery, team building, and collaboration with French and American lead developers and CTOs.
With a PhD in Computer Science, he conducts research in agent-based modeling and reinforcement learning. This research practice informs how he evaluates technical decisions, results, and the limitations of AI systems.
He also teaches software engineering and AI in a university MIAGE master’s program. This commitment helps develop the next generation of talent and provides an opportunity to recognize their potential as they learn.
His background also includes engineering training in nuclear energy at Arts et Métiers ParisTech and the CEA. His entrepreneurial work has also received an award from the European Space Agency.
Business contexts
Your challenges set the direction.
The skills and architecture follow your business, workflows, and constraints.
Strategy & consulting
Analysis, document research, and decision-support tools.
Healthcare
Information, coordination, and workflows in demanding healthcare environments.
LegalTech
Research, analysis, and processing of legal documents.
Supply chain & logistics
Operational flows, planning, and integration of field data.
Finance, compliance & audit
FinTech, RegTech, and AuditTech: data, controls, and traceability.
Your context first. Relevant references next.
We share relevant references on the first call, under a non-disclosure agreement.
AI-native Teams · Getting started
One week to choose. Three to start delivering.
Choose and approve your team in one week. The next two weeks prepare its integration into your project. From three weeks in total, the team is ready to work and produce its first pull requests.
Week 1
Choose and approve your team
From your brief, we define the roles and propose engineers. You meet them and approve the team composition and working arrangement.
Weeks 2 and 3
We prepare onboarding with you
Repository access, development environment, tools and product context: we prepare the work and initial priorities with your team.
At the end of 3 weeks
Your team produces its first pull requests
Engineers work in your codebase and submit their first changes for review, following your priorities and practices.
Three weeks in total from a complete brief: one week for selection and approval, followed by two weeks of preparation. Timeline confirmed based on engineer availability, interview slots and access preparation.
06 / Common questions
Before we start.
Do I need to choose a service before getting in touch?
No. Tell us your objective, what is holding you back, and the resources you already have. The first conversation helps identify whether you need a team, a system to build, or a combination of both.
What does AI Systems & Transformation cover?
Business scoping, architecture, implementation, integration, tests and evaluations, followed by handover and support within the agreed scope. Deliverables, responsibilities, and success criteria are defined in the proposal.
Can the two services be combined?
Yes. A team can add capacity while a system is being built, or continue evolving it afterward. We define a shared setup to coordinate the work and responsibilities.
Can I start with one engineer?
Yes. The composition follows your need: a focused senior addition or several complementary skills. We also define how the engineers work with your team, along with coordination and responsibilities.
How do you select talent?
NODINA Select is our selection method. It structures evaluation around six dimensions: engineering, AI, context, architecture, product and collaboration. Reviewers examine the work, technical decisions and collaboration to support their discussion and decision.
What does the first week cover?
The first week is for choosing and approving your team: scoping the need, proposing profiles, meeting engineers and approving the team composition. The process starts from a complete brief, with suitable engineers available and interview slots agreed.
What happens at the end of the three weeks?
After one week of selection and approval, two additional weeks prepare onboarding: repository access, development environment, tools, product context and initial priorities. At the end of three weeks in total, the team is ready to work and produce its first pull requests (PRs), meaning code changes submitted for review. The timeline depends on availability and access preparation, and is agreed together.
Why Europe and Latin America?
These regions let us assemble teams for European and American companies. Skills, communication, and the shared working hours required for each engagement guide the selection.
What happens if the team needs to change?
We examine difficulties promptly and arrange an adjustment or handover when needed. Documentation and shared context help maintain continuity. Replacement terms and notice periods are defined in the contract.
What are the costs and commitments?
The service is priced through a tailored proposal, with no equity stake or recruitment fees. Scope, duration, coordination, change terms, and any tool or infrastructure costs are set out explicitly.
How do you handle code, data, and intellectual property?
We favor working in your environment. Access, confidentiality, approved tools, responsibilities, and intellectual property terms are addressed before work begins.
What does ‘by invitation’ mean?
You are welcome to tell us about your project. We assess the fit between your needs, our available capacity, and the proposed working relationship, then invite selected projects to proceed. We limit new partnerships each quarter to stay closely involved.
Which tools do the engineers use?
The choice depends on your stack and policies. We assess their ability to use the development assistants, models, agent workflows, and quality tools relevant to the engagement.
Let’s work through your project.
You may know exactly what needs to be built, or still be looking for the right starting point. The first conversation helps define a useful next step.
France · Europe · United States — Tailored proposals