Solutions for organizations

Six areas of work for companies and institutions that need AI and software integrated with their existing systems and security requirements.

Private AI and internal assistants

We build assistants that search manuals, contracts, policies, tickets and files, and answer in plain language with a citation for every statement. It works like NotebookLM, installed for your organization, connected to your repositories and limited to what each user may see.

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What we deliver

Connectors to shared drives, SharePoint, Google Drive, email and databases
Document processing with OCR for scans, tables and forms
Semantic and hybrid search over a knowledge base that updates when the documents change
Answers with citations and permissions by user or group
Access from a web interface, Microsoft Teams, Slack or an API

Typical applications

Policies and procedures
Contract review
Technical and engineering documentation
HR and internal policies
Proposals and RFP responses

Process automation and systems integration

We automate document-heavy and repetitive processes and connect the systems that each hold part of the information. Agents read invoices, forms and emails, validate the data and record it in the right system, with human approval wherever it is required.

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What we deliver

Integration with ERP, CRM, accounting and line-of-business systems through APIs, databases or files
Extraction and validation of documents such as invoices, orders, claims and forms
Workflows with approval steps, exception handling and notifications
Reports and dashboards updated automatically
A log of every action for control and audit

Typical applications

Accounts payable and receivable
Order and inventory management
Client and supplier onboarding
Reconciliation and periodic reporting

Custom software and platforms

We design and build software where off-the-shelf products do not fit: client portals, internal tools, platforms with users and payments, and mobile apps. We document the code and choose technologies that your own team or any qualified provider can maintain.

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What we deliver

Product discovery, UX design and technical architecture
Web applications and APIs (Next.js, React, Django, Python)
Mobile apps for iOS and Android
Automated tests, continuous integration and documentation
Handover of the source code to your repositories

Typical applications

Client and partner portals
Internal operations tools
Modernization of legacy applications
Prototypes for new business lines

AI consulting and strategy

We help leadership and technical teams decide where AI is worth applying and in which order, with the controls each case requires. The result is a concrete plan built from an assessment of your processes and data.

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What we deliver

Assessment of current processes, data and systems
Selection and prioritization of use cases by impact and feasibility
Build or buy analysis and evaluation of vendors and models
A roadmap with phases, costs and success metrics
AI usage policies, governance and risk management

Typical applications

Executive briefings and workshops
Review of AI initiatives before investing
Evaluation of existing pilots

Infrastructure, security and private deployment

We deploy AI systems where your data must stay: on your servers, in your private cloud or in a specific region. We size the hardware, run open-weight models locally when that is the right choice, and integrate the system with your identity, monitoring and backup practices.

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What we deliver

Open-weight models running locally on GPU servers (vLLM, llama.cpp)
Private cloud deployment with data residency in the region you choose
Single sign-on, role-based access and audit logs
Encryption, backups, monitoring and incident procedures
Capacity planning and scaling from one server to a cluster

Typical applications

Organizations with regulated or confidential data
Teams that need predictable costs without per-query fees
Isolated or restricted networks

Custom model training and deployment

We train and adapt models for your own tasks: language models for your domain, decision models that score, classify or forecast, vision and audio models, and embedding models for search. Each one is evaluated against your data and deployed where you choose.

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What we deliver

Fine-tuning of open-weight language models on your documents and tasks
Decision models for scoring, classification, forecasting and anomaly detection
Vision models for images, scanned documents and visual inspection
Speech and audio models for transcription and voice interfaces
Evaluation against your own data, then deployment as a service with monitoring

Typical applications

Domain-specific assistants
Risk and demand models
Document and image classification
Quality inspection

Discuss your project with our team

Schedule a meeting to review your objectives and current systems. We follow up with an assessment and a written proposal.

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