AI agents and automation
We build agentic systems that use language models, tools and APIs to retrieve information, make decisions within defined processes and execute multi-step tasks.
Artificial intelligence
AI can do a lot. Let’s make it work for you.
We design, develop and deploy artificial intelligence solutions. From agents and automation to vision, audio, prediction and specialized models. We choose, adapt or train the right technology for each project.
- Tailored solutions
- Integration with your systems
- Production-ready AI
What we can build
Different problems. Different ways to apply AI.
From automating processes to training specialized models. We combine artificial intelligence, Machine Learning and software engineering to develop solutions tailored to each project.
Generative AI, agents and intelligent search
We develop applications that use AI models to interpret information, connect systems, perform advanced searches and automate processes.
Vector and multimodal search
We develop search systems using embeddings and vector databases to find and connect information by similarity, even across different data formats.
Intelligent document processing
We automate the extraction, classification and interpretation of information in documents, combining language models, vision and data processing.
Applications with generative models
We integrate frontier and open-weight models to understand, generate or transform content for your project.
We also specialize open-weight models with your data and optimize them to reduce size and latency. Under your control, deployed with us or on the provider of your choice.
Specialized AI
We develop solutions to interpret images and audio, anticipate outcomes and learn from your data. We choose the right approach and adapt it to the problem you need to solve.
Computer vision
We develop models to detect, identify, classify and analyze images and video using Deep Learning techniques and specialized architectures.
Audio, speech and signals
We build systems to transcribe speech, recognize sounds, classify recordings and analyze signals using audio models and pattern recognition.
Time series and forecasting
We develop models to anticipate changes in variables, predict demand, analyze trends and detect anomalies using historical data.
Training and fine-tuning
We train and adapt solutions using classical Machine Learning, Deep Learning and fine-tuning for your project’s tasks and data.
Process analysis and optimization
We apply AI to data from your equipment, systems and operations to understand what is happening, identify opportunities for improvement and evaluate changes before putting them into practice.
Technical and laboratory data
We analyze test results, instrumental measurements, sensor data and equipment readings to interpret findings, assess quality and support decisions in the laboratory and day-to-day operations.
Pattern recognition
We develop systems to identify behaviors, classify observations and detect anomalies in complex data.
Process simulation and optimization
We develop AI solutions to compare scenarios, adjust parameters and improve process performance, taking your objectives and constraints into account.
What you gain
Less manual work. More possibilities for your project.
Artificial intelligence can help you automate tasks, make better use of your data and develop features that were previously difficult to implement. We turn those possibilities into solutions you can use.
Automate what takes up your time
Reduce repetitive tasks and connect processes so your team can spend more time on the work that really needs their attention.
Make better use of your data
Find patterns, anticipate outcomes and extract useful information from data you already have, even when it is complex or difficult to interpret.
Develop new capabilities
Bring intelligent search, recognition, prediction or content generation to your tools, products and processes.
A solution tailored to you
You do not have to adapt to a specific model or provider. We choose and develop the technology around your performance, cost and privacy requirements.
How we work
First, we understand the problem. Then, we choose the technology.
Every project needs a different approach. We analyze your goals and available data, evaluate the alternatives and develop a solution that meets your needs.
We understand what you need
We study the problem, objectives, available data and project requirements.
We evaluate the alternatives
We compare techniques, models and architectures, considering quality, cost, latency and privacy.
How we choose modelsWe develop and validate
We build the solution, test it with representative data and evaluate the results.
We integrate and deploy
We connect the models to your applications and systems and prepare them to run in the right environment.
We maintain and improve
We can continue evaluating performance, resolving issues and evolving the solution whenever you need us.
Different problems call for different models.
We can use existing models, adapt them or develop a specialized one. The choice depends on what the project needs to solve.
Commercial models
We access models from external providers when they offer the capabilities needed.
Open-weight models
We work with open-weight models for greater control and flexibility.
Custom models
We adapt or train specialized models when existing alternatives are not sufficient.
Working with you
You know what we are doing and can talk directly with us.
You work with the team developing your project. We organize tasks, share progress and communicate directly throughout the process.
Tickets and tracking
We centralize requests, priorities, decisions and progress to keep the work organized and documented.
Direct communication
We use agreed channels, such as Slack or email, to answer questions and keep you in touch with the team.
Progress meetings
We review results, priorities and next steps as often as the project needs.
Flexibility for every project
We adapt to what you need. And how you want to work.
Not every project needs the same level of involvement. You can call on us for a one-off task, reserve engineering hours each month or entrust us with an entire project. You choose how we work together, and you always know the cost before we start.
Discuss pricing and optionsSchedule a call
By the hour
For a specific problem you need to solve.
A configuration, a technical review, a one-off incident or an infrastructure improvement. Book the hours you need, without committing to a monthly service.
Monthly hours
Engineering support for your day-to-day work.
We agree on a monthly allocation of hours to handle requests, make improvements and keep your infrastructure up to date. An option for teams that need ongoing technical support.
Fixed-scope project
A defined scope. An agreed budget.
We take care of a complete project, from planning through to launch. We define the objectives, deliverables and budget before we begin.
No unexpected costs.
Every project is different, and our quotes reflect its needs. Whichever option you choose, you will know the financial terms before we start. If work outside the agreed scope comes up, we discuss it with you before incurring any additional costs.
Who we work with
Where you start does not matter. What you need to build does.
We collaborate with people who want to apply artificial intelligence to a specific problem, whether they need to develop a product, improve a process or explore a new solution.
Startups and digital products
To create intelligent features, validate new ideas and develop products that incorporate AI from the start.
Frequently asked questions
Have questions? Let’s start here.
You don’t need to have chosen a model, a technology or every detail of your project before talking to us.
What custom artificial intelligence solutions do you develop for businesses?
We develop AI agents, process automation, intelligent search, document processing and applications using generative models. We also work with computer vision, audio, forecasting and specialized Machine Learning models. We start with a specific problem and connect the solution to your business tools and processes.
Do I need to choose an AI technology or model before starting?
No. You can start with an objective, a process you want to improve or a product idea. We assess the problem, your available data and any constraints. We then evaluate suitable techniques, models and architecture, including when a software solution without AI is sufficient.
How much does it cost to develop an artificial intelligence solution?
The cost depends on scope, data preparation, integrations and testing. Model usage, infrastructure and maintenance also affect the overall cost. We offer hourly work, monthly hour packages and fixed-scope projects. We agree the budget before starting and consult you on scope changes; 24/7 support with an SLA is quoted separately.
How long does it take to develop and integrate an AI project?
It depends on data availability and quality, the complexity of the problem and the systems to connect. A proof of concept has a different scope from a production solution. We define phases, deliverables and validation criteria to agree a realistic timeline after reviewing the project.
Can you integrate artificial intelligence into our software, ERP or CRM?
Yes. We can connect AI capabilities to applications, APIs, internal tools, ERP and CRM systems, depending on available interfaces and permissions. We review data flows and where the solution needs to intervene. This lets us add search, information extraction or automation to existing processes without rebuilding the entire application.
What is the difference between a chatbot and an AI agent for process automation?
A chatbot focuses on conversation and answers. An AI agent can also consult tools, use APIs and execute steps within a defined process. We develop both types of solutions and define their permissions, actions requiring approval and the controls needed for each task.
Can you build an AI assistant that searches our documents and internal data?
Yes. We can develop assistants using retrieval-augmented generation, or RAG. The system retrieves information from authorized sources and provides it to the model to help compose an answer. We design indexing, permissions, content updates and source references; this architecture does not by itself eliminate model errors.
When should we use RAG and when should we fine-tune a model?
RAG retrieves external information, such as frequently updated documentation. Fine-tuning adapts a model using examples to improve its behavior on a specific task. They are not mutually exclusive and can be combined. We first assess the problem and baseline results to decide whether to retrieve information, adapt a model or use another technique.
Do you work with commercial, open-weight and custom models?
Yes. We integrate commercial models through APIs, use open-weight models and adapt or train specialized models when needed. We compare quality on your task, cost, latency, licensing conditions and deployment options. Those requirements guide the choice of provider or model.
What data do I need for a Machine Learning or artificial intelligence project?
It depends on the task. A document assistant needs reliable, current sources; a predictive model may need historical data and examples of the outcome you want to predict. We review quality, representativeness, usage permissions and labeling needs. There is no minimum dataset size suitable for every project, and training a model from scratch is not always necessary.
Can AI run on private servers with confidential data?
We can propose private deployments or deployments on your own infrastructure when the models and available resources allow it. Before choosing the architecture, we review the data processed, who can access it and which external services are involved. We also assess storage, retention and operational requirements to choose a solution that fits your privacy needs.
How do you evaluate quality and reduce errors in an AI solution?
We test the solution with representative data and project-specific criteria such as accuracy, relevance, errors, latency or cost per task. For generative applications, we can incorporate sources, validation and human review where needed. Validation helps establish the solution’s limits before deployment and detect changes in performance.
Do you develop AI for computer vision, forecasting and laboratory data?
Yes. Alongside generative AI, we develop models to analyze images and video, process audio, forecast time series and detect patterns or anomalies. We can also work with test results, instrument measurements and sensor data. We assess the data characteristics and technical validation criteria for each application.
Can you help with a specific task or collaborate with our technical team?
Yes. We can handle a technical evaluation, an integration, model training or a specific improvement, as well as complete projects. We offer hourly work, monthly hour packages and fixed-scope projects. We agree responsibilities, deliverables and how to collaborate with your team before starting.
Do you offer AI maintenance, monitoring and 24/7 support with an SLA?
We can maintain the solution, evaluate its performance and improve models and integrations after deployment. Depending on the agreed scope, this can include reviewing errors, changes in data and cost controls. Monitoring and 24/7 support with an SLA are contracted and priced separately; they are not automatically included in development.
What do you need to solve with AI?
Tell us about your idea or problem. We’ll help you find the best way to approach it.
Let’s talk about your project