Software and artificial intelligence, held to one quality standard
We integrate artificial intelligence into your operations, build new systems, and evolve existing ones. In every case, technical judgment rests with our engineers, who use the AI tools you authorize to review, test, and document more extensively. The engagement model adapts to your organization.
Scope
What each service includes
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AI integration
Assistants, agents, internal knowledge search, document processing, and automation connected to your systems, with role-based permissions, human oversight, and data policies agreed with you.
- Use-case assessment and prioritization
- Focused pilot with defined metrics
- Integration with ERP, CRM, and in-house systems
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AI-assisted quality and testing
We strengthen the quality of new or existing systems. With AI support, our team reviews code, analyzes security, and prepares additional test cases, then validates each case before adding it to the automated regression suite and documents the evidence.
- Code, testing, and security assessment
- Unit, integration, and regression testing
- Performance and load testing
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Custom web and mobile development
Enterprise systems, portals, web platforms, and iOS and Android apps designed around your processes, with controlled publishing to the official app stores. Every change goes through automated checks, including AI-assisted review, and is approved by another engineer.
- Process and requirements analysis
- Web, iOS, and Android, native or cross-platform
- Verifiable incremental deliveries
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Integrations and APIs
We connect your internal systems, ERP, CRM, and third-party services through secure, documented, and versioned APIs, so information flows without manual data entry or duplication. They are also the foundation for AI solutions to query and update your information with the right permissions.
- API design and documentation
- ERP and CRM integration
- Authentication and access control
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Cloud and DevOps
Cloud migration and operations with automated processes: every release goes through the quality checks and is repeatable, auditable, and reversible.
- Infrastructure as code
- Continuous integration and deployment
- Monitoring, alerts, and backups
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System modernization
With AI support, we analyze and document existing code before changing it. Then we renew it gradually: migrating data, decoupling components, and protecting the continuity of your operations.
- Analysis and documentation of existing code
- Gradual data migration
- Technical debt reduction
Engagement models
Ways of working tailored to your organization
Together we define the model that best fits your structure, budget, and required level of control. In every case, the same quality and reporting standards apply, including the use of AI with the tools and data policies you authorize.
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Model 01
Turnkey project
We take full responsibility for the project: defined scope, delivery plan, execution, and production rollout, with a single accountable point of contact.
Best suited forInitiatives with clear objectives that need one provider to own the entire lifecycle. -
Model 02
Dedicated team
A cross-functional team assigned exclusively to your product and aligned with your business priorities, with a technical lead accountable for delivery and reporting.
Best suited forContinuously evolving products that need sustained capacity and accumulated knowledge. -
Model 03
Team extension and consulting
We embed specialists in your in-house team or conduct architecture, security, and process assessments to strengthen your capabilities with an outside perspective.
Best suited forIT departments that need specialized expertise or an independent technical review.
Technologies
Proven tools for long-lived systems
We select each technology for its maturity, long-term support, and compatibility with your organization's environment, not because it is trending. This keeps your system current and backed by an available talent pool as it evolves.
Frontend
- TypeScript
- React
- Angular
- Vue.js
- Next.js
Backend
- Node.js
- .NET
- Java
- Python
- GraphQL
Mobile
- Swift
- Kotlin
- React Native
- Flutter
Cloud and DevOps
- AWS
- Microsoft Azure
- Google Cloud
- Docker
- Kubernetes
- Terraform
Data
- PostgreSQL
- SQL Server
- MySQL
- MongoDB
- Redis
AI
- Large language models (LLMs)
- RAG
- AI agents
- Vector databases
- MLOps
Let's discuss your project
Whether it's a new system, the quality of an existing one, or a process where you want to bring in AI, we start with an assessment and present a proposal with scope, delivery plan, timeline, and cost.