Business-process automation
Routine operations, approvals and paperwork — running without manual effort.
Quantitative AI & Consulting
AKVANT designs and delivers systems built for a specific business: autonomous AI agents and multi-agent systems, large language models (LLM), retrieval and analysis across corporate documents (RAG).
The same technology that powers world-class products — applied to your business.
AKVANT Technologies — from quantum: quantitative methods and advanced AI at the core of every system. Quantitative AI & Consulting.
What we do
Routine operations, approvals and paperwork — running without manual effort.
Not chatbots. Systems that carry out real tasks and decide within defined logic.
LLMs inside your products and processes, as working instruments.
Answers and analytics across your corporate data.
Dashboards where the owner sees the business in real time.
Internal tools and products built for a specific job.
Tables, PDFs and exports turned into structured information.
AI strategy, process assessment, architecture reviews.
Rollout, API integrations (CRM / ERP), post-launch support.
How we work
We study your processes and data, and find where AI creates measurable value — and where it is redundant.
We design the system around your specifics — never force-fit a template.
Models, integrations, analytics, interfaces — exactly where needed, with support after launch.
Why AKVANT Technologies
Real models, not builder kits — engineering beyond the reach of no-code automators.
Every engagement is scoped to a concrete result — value you can put a number on.
From banking supervision to heavy industry and development.
Code, data and infrastructure belong to you. Zero lock-in.
Industries
Regulatory analysis of systemically important banks. Predictive maintenance for heavy industry. Analytics for prime real estate and capital. The harder and more specialised the domain, the more our quantitative approach earns its place — the same rigour, carried wherever the problem is worth solving.
Interactive diagnostic
Answer three questions — we tell you which tasks to move onto AI first, and where it will not pay.
See where it pays off →From the Journal
Notes from our engagements: what we look at before proposing a system.
How AI implementation actually works in a business: stages, realistic timelines, what it costs, how to measure the effect in money, and why projects fail.
BusinessA map of where AI applies inside a company - sales, finance, operations, documents, people, leadership - with the effect to measure and the limits.
WorkAI does not replace professions, it replaces tasks. How work changes, which skills stop being scarce, and what a company should do instead of cutting.
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A rigorous look at your task — and a proposal built for your business.
Recognition
Expertise built where the standards are set — central banking, top-tier research and global technology.