Document processing
We recognise invoices, contracts and other documents, extract key fields, validate the information and pass it to business systems.
AI solutions for business
AI solutions and workflow automation for business.
We apply AI where it safely reduces manual effort: understanding documents, classifying information and supporting decisions inside existing systems.
Internal assistants and search
We build tools that find information in company documents, draft answers and classify requests according to agreed rules.
Control and security
Critical actions keep human approval. Access is controlled, requests are logged and data retention is designed around the risk of the process.
IDEAS. CONNECTIONS. WORKING SYSTEMS.
From data to clarity.
We connect your sources, organise imports and prepare data for the work ahead.
Capabilities
A solution built around your real workflow
Technology is selected around the process, data and risk.
- ✓Invoice and contract analysis
- ✓Data extraction and classification
- ✓Enterprise document search
- ✓Email and request triage
- ✓Human approval stages
- ✓Integration with existing systems
Choose your starting point
An AI assistant, document analysis or a workflow step?
An assistant for a person
Internal search, document summaries and reply drafts can assist an employee while leaving decisions with them. We agree information sources, access controls, output checks and what happens when a reliable answer is unavailable.
An AI step inside a workflow
Document field extraction or enquiry classification may be one part of a wider process. We plan data checks, review of incorrect outputs and delivery to a CRM or another system. A demonstration alone does not establish reliability.
Before we start
Useful questions. Clear answers.
Does AI make decisions without a person?
Critical actions can retain human review. The design follows workflow risk, rather than model capability alone.
Do we need to share all company data?
No. We start with the minimum required data, anonymised examples and a defined data-handling flow.
Who this is for
For teams reviewing documents, classifying requests or searching internal information. We scope AI to a specific task and an outcome people can verify.
First stage
A clear outcome to start with
- Define one task and the permitted AI role
- Anonymised evaluation examples
- Pilot with human review and quality criteria
Scope and investment
What affects cost and timing
- Document and data preparation
- Output evaluation and failure handling
- Usage volume and model costs
We estimate after reviewing data, access and stage boundaries. Maintenance scope, response times and responsibilities are agreed separately.
Agree verifiable stages
- 01
Task
- 02
Examples
- 03
Evaluation
- 04
Controlled use
Related work
Explore the solution direction
Actual project cases with current status and public interfaces. Your features and scope will be agreed separately.
Platforms · Automation
SuppliersDB.com · DropshipTiekejai.lt
Supplier research, notes and comparisons often end up in separate files.
A supplier directory with filters, saved candidates and a sourcing workspace.
Public projectExplore the solution →
Business systems
BoreSys.com · GręžiniųProjektai.lt
Project documents, tasks, customers and site locations need to be connected to the right project.
A shared workspace for projects, documents and team tasks.
Public system · in developmentExplore the solution →Start with the need
What would you like to change?
Describe the specific task, available information sources and how the AI output will be used. Tell us who will review it, which errors are unacceptable and which systems need the data. Keep sensitive documents out of the general form.
Enquiry topic: AI solutions for business
Want to prepare in more detail? Project planner →