Enterprise AI that reaches production and stays on your infrastructure

We build generative and custom AI for banks, insurers, and public institutions. It runs on your servers or your own cloud, trained on your data, and you own what we ship. We also co-built Bielik, Poland’s open LLM.

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Our AI development track record


1st
Polish LLM co-creator
11
awards and recognitions for our GenAI solutions
236
clients served in custom development

Custom AI, built to your process and deployed inside your perimeter

Hire us when the work is too manual for people and too sensitive for off-the-shelf AI

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Inbound correspondence at scale

A GenAI model reads each message, classifies intent, routes it, and drafts the reply for a human to approve.

Banking, Insurance

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Compliance & regulatory change

An LLM monitors regulatory feeds, scores relevance, routes each item to its owner, and flags the gaps against your procedures.

Banking, Insurance, Public Sector

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Sales & customer service

An LLM monitors regulatory feeds, scores relevance, routes each item to its owner, and flags the gaps against your procedures.

Banking, Finance

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Document intelligence

RAG runs over your documents and returns answers your people can trust, with the source citation attached.

Public sector, Finance, Healthcare

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Legal workflows

An LLM analyzes contracts for risk and keeps a searchable base of your matters, so a director runs a first pass and the lawyer gets a ready risk sheet.

Legal, Enterprise

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Visual inspection

Computer vision spots corrosion, leaks, and structural cracks in inspection imagery. The inspector still makes the call.

generative AI and custom AI software (Most projects use both, on the same two pillars)

Two ways in: deploy a tested component, or build from the ground up

Live in weeks
Compliance Navigator: tracks regulatory change and scores each update against your internal procedures.
AI Service Assistant: classifies, routes, and drafts replies to inbound messages for a human to approve.
Knowledge Bot: answers staff questions from your internal knowledge base, with the source attached.
Document Intelligence: pulls the fields and clauses that matter out of high-volume documents.
AI Virtual & Sales: assistant suggests the next-best offer and supports advisors live during the conversation.
Data Anonymizer: masks sensitive data before it reaches a model or leaves your perimeter.
Built to your problem
Enterprise Document: intelligence bespoke pipeline shaped to your document types, formats, and downstream systems.
AI Legal Assistant: analyzes contracts for risk and keeps a living knowledge base of your matters.
AI visual inspection: computer vision trained on your assets to flag defects in inspection imagery.
SCADA / IoT monitoring: anomaly detection on your telemetry streams, alongside the control layer, not inside it.

Anyone can demo something clever. We build for what the regulator asks six months later

On your infrastructure, on any model, through any audit

Sovereign by design
On-premise or in your own Cloud (Azure OpenAI, AWS Bedrock, GCP Vertex).
Your data stays inside your perimeter, and the system doesn’t phone home.
Model-agnostic, no lock-in
Claude, GPT, Llama, Mistral, Bielik, routed by language, complexity, and cost.
You’re never tied to one vendor’s price list or roadmap.
Fine-tuned to you
We use your terminology and your processes.
When an off-the-shelf model doesn’t speak your domain, we train one that does.
Audit-ready
ISO 27001, RODO, DORA, NIS2, the KNF requirements.
SSO, RBAC, encryption at rest and in transit, the things your security team checks first.
We close that gap on a clock, with a person in the loop at every step
A proof of concept in 5 to 10 days, in production in months
Competence

Workshops and training so your team owns the why, not just the tool.

Ideation

We shortlist use cases by value and feasibility, against your data constraints.

Validation

A working PoC in 5 to 10 days to prove it on your data before you commit.

Implementation

MVP in 6 to 8 weeks, integrated into your CRM, ITSM, and ERP, containerized with Docker and Kubernetes.

Continuous improvement

Monitoring, tuning, and model updates once it’s live, under SLA. Observability via ELK, Grafana, and Prometheus.

Testimonial

What our clients say?

By automating certain customer interactions, bank employees are provided with a prepared “semi-product”, which enables them to dedicate more time to personalizing and empathizing with customer communication, and thus taking even better care of their needs.

Katarzyna Tomczyk – Czykier
Director of the Innovation and Digitization Division – Retail Banking

let’s get in touch

Contact our consultant


Book 1-on-1 consultation 

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Grzegorz Motriuk

Head of Sales | Application Development

Our consultant is at your disposal from 9 AM to 5 PM CET working days from Monday to Friday for any additional questions.

FAQ: Gen AI Development

  • What industries do you build AI for?

    We primarily serve banks, insurers, public institutions, legal firms, and healthcare organizations — sectors where data sensitivity, regulation, and compliance requirements are non-negotiable. Many of our clients have restrictions that rule out off-the-shelf AI tools, which is exactly why they come to us.

  • Where does my data go? Can you deploy on-premise?

    Yes. All solutions are designed to run on your own infrastructure — on-premise or within your own private cloud (Azure OpenAI, AWS Bedrock, or GCP Vertex AI). Your data never leaves your perimeter. This is not an option we tack on — it’s the default architecture.

  • How long does it take to go from idea to a working solution?

    We run a proof of concept in 5–10 working days so you can validate the idea on your real data before committing to full development. From there, a working MVP typically takes 6–8 weeks, followed by integration into your existing systems (CRM, ITSM, ERP). Production timelines depend on scope, but months — not years — is the norm.

  • Are you tied to a specific AI model or vendor?

    No. We are model-agnostic and route between Claude, GPT, Llama, Mistral, Bielik, and others based on language, task complexity, and cost. You are never locked into a single provider, and you can change models as the landscape evolves without rebuilding your entire system.

  • What regulations and compliance standards do you support?

    Our solutions are built audit-ready from day one. We design for ISO 27001, GDPR/RODO, DORA, NIS2, and KNF requirements. Technical controls include SSO, RBAC, encryption at rest and in transit, and full audit logging. We’ve successfully delivered regulated AI in banking and public sector environments.

  • Do you have security/compliance documentation we can use for vendor due diligence (audits, certifications, privacy)?

    Yes. Deviniti’s Trust Center provides downloadable security and compliance documentation for vendor due diligence, including:

    • ISO/IEC 27001 certificate (ISMS)
    • ISO/IEC 27017 certificate (cloud security controls guidance)
    • SOC 2 Type 1 report
    • Privacy & Security Overview
    • CAIQ Lite – Apps (Cloud Security Alliance questionnaire)
    • Cloud Hosting Locations & Data Residency Options
    • Information Security Policy (AUP)

    For GDPR due diligence, Deviniti provides a Data Processing Agreement (DPA) under GDPR Article 28. As a general rule, personal data processing takes place within the EU/EEA. Where international transfers are necessary, Deviniti uses lawful transfer mechanisms (e.g., EU adequacy decisions and Standard Contractual Clauses) with additional safeguards. For products that support it, you can also choose service delivery exclusively via infrastructure located in the EEA.