Nivelo — AI Services

What we do

Services

Most engagements start with a two-week diagnostic and scale into a quarter of build work. We bill by the engagement, not by the body. Every project ships something real.

AI Strategy

Where does AI actually earn its keep in your business? We pressure-test use cases against your data, org, and economics — then deliver a prioritised roadmap you can fund.

You leave with Opportunity mapRoadmapROI model

AI Data Readiness

Your data is the ceiling on what AI can do. We audit sources, schemas, quality, and governance — and ship the pipelines, contracts, and evals that make AI dependable.

You leave with Data auditClean pipelinesEval harness

Process Automation

Ops, finance, legal, support — wherever your team is swivel-chairing between tools. We find the high-volume, high-cost workflows and automate them end-to-end.

You leave with Automated workflowsSLA monitoringCost baseline

AI in the Day-to-Day

Real productivity, not demos. We deploy AI inside the tools your team already lives in — email, docs, CRM, BI, ticketing — with guardrails, evals, and training that sticks.

You leave with Team workflowsAdoption planMeasured uplift

Custom AI Implementation

When off-the-shelf is the ceiling, we build. Bespoke agents, RAG systems, multi-model pipelines, fine-tuned classifiers — designed to your latency, cost, and compliance.

You leave with Production systemEvals & SLOsHandover docs

Technical Due Diligence

For funds and acquirers: we run deep-tech DD on AI and data-heavy targets — architecture, talent, model risk, defensibility, and the honest total cost of ownership.

You leave with DD reportRisk register100-day plan

Fractional CTO & AI Lead

A senior technical operator in the room for one to three days a week. Roadmaps, hiring, architecture reviews, vendor calls — and the hard conversations nobody else will have.

You leave with Senior coverTech directionHiring done right

AI Enablement & Training

Workshops and hands-on programs for leadership and teams. Tooling, prompting, evals, governance — the literacy layer that makes everything above actually land.

You leave with Trained teamPlaybooksInternal champions

Technology Strategy

Beyond AI: cloud, data platform, build-vs-buy, engineering org design. We help leadership teams make the five technology decisions that matter in the next 18 months.

You leave with Strategy paperOrg designVendor shortlist

How we work

A clear engagement arc

We scope fixed-price, time-boxed phases. Every phase has a tangible output your team can use even if you walk away.

Diagnose

Two weeks in the room. We sit with your team, your data, and your stack. You get a written diagnostic — not a deck.

Design

Pressure-tested plan. We design the system, evals, and interfaces. You sign off before we write production code.

Ship

In your repos. Six to twelve weeks of build. Weekly demos. Bi-weekly check-ins with leadership.

Hand over

You own it. Runbooks, tests, training. Your team takes the keys. We stay on-call as long as you want.

Previous clients

Companies we've worked with

We've delivered for some of the most demanding organisations in the Nordics and beyond.

We built AI-powered data agents and an AI-ready warehouse for EQT's investment teams. The platform enables natural language querying across enterprise data assets, with internal tooling for operations and a scalable analytics layer used across the firm.

Engaged to define and roll out an AI strategy across the organisation. We ran internal education programmes, established cross-team protocols with C-level alignment, and deployed big data agents that surface actionable insights at scale.

Brought in to automate financial operations end-to-end. We shipped AP automation, bank reconciliation systems, and compliance reporting pipelines on Kubernetes — reducing manual processing and ensuring audit-ready accuracy.

Contracted to optimise data warehouse infrastructure across GCP and AWS. We engineered high-performance ETL pipelines for large-scale financial datasets and delivered warehouse optimisations for advanced analytics and regulatory compliance.

Hired as senior engineering on a major global crypto exchange. We built and optimised core platform systems, onboarding flows, and customer journey infrastructure across a distributed, remote-first organisation.

Brought on to deliver a greenfield security solution API. We shipped a scalable microservice system serving hundreds of stakeholders across multiple environments, with high-throughput, low-latency architecture and automated deployment pipelines.

Selected work

A few engagements we can talk about

Names redacted where required. Full case studies available under NDA.

Private Equity

AI diligence engine across a 20-company portfolio

Built a repeatable AI opportunity and risk scoring system applied across a mid-market PE portfolio. Replaced ad-hoc advisor reports with a living dashboard.

6 weeks

Kickoff to first report

FinTech

Production RAG system inside a regulated data platform

Designed and shipped an evaluated RAG pipeline replacing three manual research workflows. Full audit logging, evals, and change-control pipeline.

80% ↓

Manual research time

Media Tech

Agent workflows for a 300-person editorial operation

Deployed multi-step agent workflows inside an existing editorial stack. Guardrails, human-in-the-loop review, and measurable throughput uplift per editor.

3.2×

Throughput per editor

Questions

FAQ

What kind of companies do you work with?

Mid-market operators, private equity portfolios, and scale-ups where AI is a board-level conversation. We work across the Nordics and wider EU.

How do you price engagements?

Fixed-price, time-boxed phases. A typical diagnostic runs two weeks; a typical build runs six to twelve weeks. We bill by the engagement, not by the body. Fractional CTO engagements are monthly retainers.

Who actually does the work?

The senior people on our team page. We keep our bench deliberately small. If we grow capacity, we grow it with peers we've shipped with before — never juniors learning on your dime.

Do you sign NDAs? Work in our repo? Use our infra?

Yes, yes, and yes. We default to working inside your systems with your change-control. When we need sandboxes, we build them and hand them over. We don't lock clients into Nivelo-owned infrastructure.

We build AI systems that ship.