AI solutions · Warsaw

AI designed around
real business problems.

We build practical AI solutions for companies that want to unlock knowledge, automate repeatable work and give teams better tools for making decisions.

Discuss your project

01 · Services

From AI opportunity to working product

We begin with a concrete workflow, the available data and a measurable business outcome. Architecture, models and automation levels are selected around operational risk and the way the organisation works.

We engineer secure copilots, semantic search, RAG systems, agents and automations connected to existing business tools. The result can operate independently or become part of a SaaS platform, CRM or commerce product.

02

What we can deliver

01

Copilots and assistants

Conversational tools for sales, support, operations and knowledge work.

02

Intelligent search

Secure semantic discovery across documents, catalogues and knowledge bases.

03

Workflow automation

Processes that connect AI models, business rules, people and company systems.

04

AI product features

AI capabilities designed as a natural part of SaaS, CRM or commerce platforms.

03

How we reduce delivery risk

01

Use-case validation

We evaluate data quality, business value, security and success criteria.

02

Data-grounded prototype

We test behaviour against representative examples before full implementation.

03

Controlled deployment

We add monitoring, permissions, evaluation and human oversight where required.

04 · Outcome

What the organisation gains

  • Faster access to company knowledge
  • Less repetitive manual work
  • More consistent decisions and service
  • An AI foundation that can evolve
05

Frequently asked questions

Do we need an internal AI team?

No. We can lead discovery, architecture, engineering, integrations and deployment while working directly with business or technology stakeholders.

Can the solution use private company data?

Yes, with appropriate permissions, data isolation, retention rules and controls for response quality.

Where should an AI project begin?

Start with one expensive or repetitive process, or a workflow that depends on finding knowledge across fragmented sources.

Anjana Technologies · Warsaw

Let’s build the solution,
with purpose.

Discuss your project