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Where does AI pay off first in your business?

Two ways to start. If customers message you and wait for a reply: an AI sales agent we run for you, with a ledger of everything it did. If your team already uses AI without rules: one session that ends in a written direction memo. Both arrive with their proof.

I lead a team
Not sure which? Find your AI stage in 2 minutes →
Gediminas Sadaunykas, AimRank co-founder

On stage, sharing how we do it

  • AimRank speaking at a conference
  • AimRank speaking at a conference
  • AimRank speaking at a conference
  • AimRank speaking at a conference
  • AimRank speaking at a conference

Every system we build does one of three things, and we put a number on each.

Cut cost

Automate the manual, catch the errors, shrink the cycle.

Generate revenue

Capture more leads, convert better, reach new markets.

Build what rivals can't

Turn your own data into a capability nobody can buy off the shelf.

All three measured. All three assured. Everything we ship arrives with its proof.

Proof, not demos

Measured results, under real conditions

£900,000 saved a year on document processing

A document-intelligence pipeline our founders delivered while working at another company. It turned slow manual review into a measured, auditable flow for a multi-billion-dollar enterprise. Audit-ready as a by-product of how it was built.

90%
faster than manual review
100k
documents / month
£900k
saved per year

A lab model built to face a live market

A calibration engine built in our lab to be judged against a live market; the scoreboard publishes once a season of logged picks exists. The same calibration discipline goes into every regulated model we build.

Behavior modeled across 20M users

A behavioral model our founders built while working at another company. It spans 20 million app users and predicts what they do next, turning raw usage into revenue forecasts the finance team can plan against.

20M
users modeled
Revenue
predicted ahead
Planning
for finance teams

Measured and auditable. Our founders delivered the document-processing and behavior-modeling projects while working at another company; the figures are as the client reported them, as of September 2026. The lab card carries no figures until its scoreboard publishes.

The 5 stages to AI-native, and the one gate everyone gets stuck at

Click your stage. See exactly what's missing, and the roadmap we use to close it.

Most teams start at Stage 0 · Shadow AI where people quietly use ChatGPT, with no governance and no measurement.

Stage 3 · Assured 🚪

The gate to everything above

You are here
This is where almost everyone stalls. The moment a client, board, or regulator asks "how do you know it works?", you need evidence, and "we tested it a bit" is not an answer.
The gap
Until your AI is independently proven, you can't defend it, scale it, or automate on top of it. Everything above sits behind this gate.
How we move you
Prove (ROI · Readiness · Compliance): an independent audit plus the eval and measurement layer that makes your AI provable.
Find your AI stage →

AimRank OS: Our assured operating layer, built on Claude, underneath every stage. Enter at any rung, own what you build, no lock-in.

Runs on your cloud, no lock-in

Microsoft Azure Microsoft Azure AWS AWS Google Cloud Google Cloud OVHcloud OVHcloud

We build and deploy across every major cloud, and you keep ownership of what we ship.

The AimRank Standard

The AimRank Standard

Every build is measured, defensible, self-improving, and yours.

The Standard is the bar every build clears, so even a small team gets enterprise-grade AI it actually owns. Four guarantees, or we scope down and tell you why.

The Four Guarantees™
01

Measured value

Cuts cost, grows revenue or builds an advantage rivals cannot copy. We prove the number, before launch and after.

02

Defensible

You will defend any decision to a client, a board or a regulator, with a readable reason, a tamper-evident audit trail and the EU AI Act paperwork already in hand.

03

Self-improving

It never fails silently: it tells you the moment it starts slipping. Where there is a feedback signal, it gets better the longer it runs.

04

Yours & everywhere

Any cloud or your own infrastructure, with your data kept in your region and access you control. An MCP endpoint for your agents. Yours to own, no lock-in.

Why we can guarantee these. Calibration, prediction intervals, drift detection: the guarantees are statistics, not marketing. Anyone can call an API; very few can tell you how often the answer is wrong, and prove it.

Build to the standard yourself

The AimRank Standard scaffold

Scaffolding, the first Build tier, from €1,290 on our Pricing page: a repo you own with the Four Guarantees and the eval that proves it already wired in. Order it through Build.

Get the scaffold

How we build

The AI is the interface.

You operate by conversation and agents do the work, not another dashboard to learn. We ship every system as a tool agents can use (an MCP endpoint), not just a screen for people, and the model behind it is the one that passes its test. Claude is our default operating layer for agent work. It stays cloud-agnostic and yours to own, so agent-native never means lock-in.

Conversation, not dashboards Agent-consumable (MCP) Cloud-agnostic, you own it

What people we worked with say

In their own words

Portrait of Akvilė Mažuolė

I'm glad I found this AimRank team, because the work and solutions they delivered fundamentally changed how I work and how my overall operations are structured. What stands out most is that their work is not based on isolated or surface-level automation. Everything is built around clear processes, strong logic, and a deep understanding of data, artificial intelligence, and engineering. These elements are combined into one coherent, working solution rather than separate technical pieces. I trust them fully and can confidently recommend them to others, because they are a team that stays involved, supports you throughout the process, and actively looks for the best solution for each specific situation.

Akvilė Mažuolė

Founder of Intelekto Akimis

Portrait of Ieva Riliškytė Sabienė

Team at AimRank is innovative in their approach, providing new angles to cutting-edge AI advancements, always staying up to date with recent developments and delivering with a level of care that makes you feel like a true partner, not just a client.

Ieva Riliškytė Sabienė

Client Development Manager at Centric IT Solutions Lithuania

An AI studio: services fund products, products become platforms.

Our consulting funds the products and prototypes we build in the open. The same assurance discipline runs through all of it.

iCOMPLY

Live

Automated AI compliance and audit-ready evidence.

Visit iCOMPLY →

CAIO

Case study

AI video translation and dubbing. Shown here as a case study of how we build.

SaleSnail

Invite only

One AI sales agent across Instagram, WhatsApp, your website, Telegram and SMS. Every reply shows its reasons, and every lead, booking and paid sale is recorded in a tamper-evident ledger as proof of what the agent did.

Visit SaleSnail →

AimRank Ranking System

Live

Calibrated rankings and RLHF-ready preference data, with a data card that shows how the data was made. Live and free to use.

Meet the Team

The minds behind AimRank

Portrait of Gediminas Sadaunykas, Co-Founder of AimRank Labs
Gediminas Sadaunykas
LinkedIn
Co-Founder, Data Science & AI Lead

A decade of data science and machine learning, focused on AI you can measure, explain, and defend.

Portrait of Dalius Slamas, Co-Founder of AimRank Labs
Dalius Slamas
LinkedIn
Co-Founder

The engineer behind our automation and platform work: robust backends, clean interfaces, production discipline.