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services/AI & Data

AI consulting services and AI strategy for business

AI that works in your business — not just in a demo. From AI assessment and strategy through to production-ready custom AI solutions — in weeks, not quarters. Senior AI engineers seamlessly embedded in your team as soon as the right solution is defined.

Talk to us about your AI challenge →
AI consulting services and AI strategy for business

Who we work with

We work with product companies, scale-ups, and PE-backed businesses that need to move from AI strategy for business to working software — without a multi-year transformation programme. Our clients typically have a clear use case or a specific challenge: they need AI implementation services delivered by senior engineers who have built production AI systems before, not consultants who will hand off a slide deck and leave. The AI for business operations challenges we see most often: data pipelines that don't exist or don't scale, large language model integration that breaks in production, computer vision consulting needs where the domain complexity is as important as the engineering, and machine learning consulting engagements where previous vendors delivered a model but not a maintainable system.

76% of leaders

say AI is a top-3 strategic priority

3 in 4 companies

report difficulty finding AI talent internally

2–4 weeks

to build your team of AI engineers

8 hours

to identify where AI can create real impact in your business

AI implementation services across the full build lifecycle.

AI assessment and strategy - Know before you build

We assess your current data infrastructure, identify the highest-value AI for business operations opportunities, and produce a concrete implementation roadmap - not a framework document. Includes readiness scoring, build-vs-buy analysis, and a prioritised backlog.

AI proof of concept development - Prove it before you scale it

We design and build working prototypes scoped to your specific business problem - in four to six weeks. The PoC is production-oriented from day one: clean architecture, real data, documented assumptions. You end the engagement with something you can show, extend, or hand to a development team.

Custom AI solutions & machine learning consulting - Built for your data, your domain

Off-the-shelf models rarely fit complex business problems. We build and fine-tune custom AI solutions - from large language model integration and NLP and voice recognition services to predictive models and recommendation engines - using your proprietary data and optimised for your specific outputs.

Computer vision consulting & applied AI engineering

Image classification, object detection, medical imaging, defect detection, pose estimation. Our AI specialist consultants have delivered computer vision consulting across healthcare, industrials, logistics, and veterinary diagnostics. We build the full pipeline: data labelling, model training, inference infrastructure, and monitoring.

From first conversation to production AI - four steps.

We move at engineering speed. Most AI consulting services operate on long procurement cycles — we don't. We move fast, but with a practical plan. From the first conversation, we assess where AI can create real business value, shape the right strategy, build an initial prototype, and support delivery with the expertise needed to move into production.

1. Discovery - AI assessment and strategy in two weeks

We assess your data, your infrastructure, and your business problem before writing a line of code. Most AI consulting services skip this step. We don't - it's the difference between a system that works in production and one that looks good in a demo. Output: a concrete implementation roadmap with prioritised use cases, build-vs-buy recommendation, and data readiness assessment.

2. AI proof of concept development - prove the approach on real data

We scope and build a working prototype in four to six weeks, using your actual data and your production constraints. The PoC is designed to be extended - not thrown away. Senior engineers only: no junior staff running a template. Output: a working prototype, documented architecture decisions, and a clear path to production.

3. Technical evaluation - stack depth and real-world problem solving

Senior AI specialist consultants embedded directly in your engineering team - your stack, your tools, your process. We don't impose a methodology. We build the system your team can own and maintain after we leave.

4. Ongoing - machine learning consulting and model maintenance

Models degrade. Data drifts. Business requirements change. We provide ongoing senior support - model monitoring, retraining pipelines, business process automation AI refinements, and feature development - as your AI capability matures.

You don't need a bigger AI budget. You need the right engineers.

Most enterprise AI solutions fail not because the technology doesn't work, but because the team building it lacks domain depth or production experience. We fix that - senior AI specialist consultants and engineers, embedded in your team, starting in weeks.

Talk to us about your AI challenge →
Hippo Manager

We’ve been consistently impressed by the quality of their technical talent.

Andrew Page

Andrew PageCEO of Hippo Manager

Our Case Studies

SportAI

AI-powered precision in sports

Location

Norway

Customer since

2024

Industry

Sports

Backed by Magnus Carlsen, this sports technology company is transforming the industry with AI. Serving global clients from equipment producers to analytics providers, they needed flexible access to rare AI and computer vision expertise. Our specialists strengthened their core team and enabled delivery of complex projects.

See full case
AI-powered precision in sports

AI specialist consultants we place

Stack and domain-agnostic. We match AI specialist consultants to your specific problem — not to whoever happens to be available. Machine learning engineers, LLM & NLP engineers, computer vision engineers, data engineers & pipeline architects, MLOps & AI infrastructure engineers, AI product engineers, voice & speech recognition engineers, reinforcement learning specialists, AI safety engineers, and Fractional AI CTOs. 73 technology stacks and specialisations represented in our network.

Why teams choose us

Senior AI engineers, not full-stack developers with a machine learning consulting credential.

Production experience — not notebook experience

There is a significant difference between an engineer who has trained models in Jupyter notebooks and one who has shipped AI systems to production — with monitoring, retraining pipelines, data drift detection, and the infrastructure to keep them running. Every AI specialist consultant in our network has production delivery on their record.

European engineers — compliance-ready by default

Our network spans 8 EU countries. Our AI development agency Norway roots mean our engineers are trained to build AI systems under GDPR, the EU AI Act, and sector-specific data regulations from day one — not as an afterthought.

Embedded in weeks — not quarters

Most AI consulting services operate on long procurement cycles. We move at engineering speed: from first conversation to a senior AI specialist consultant embedded in your team in 9 days on average. Enterprise AI solutions don't have to mean enterprise timelines.

You own what we build

We do not create dependency on our tools, our platforms, or our proprietary frameworks. Every custom AI solution we build is documented, maintainable, and designed to be extended by your own team after we leave. Business process automation AI should make your business less dependent on vendors — not more.

Tell us what you need. We'll find the right engineers.

Whether you need senior developers embedded in your team, a Fractional CTO, or a technology assessment before a deal — most engagements start within 2–4 weeks.

Or email us directly at post@devspace.no to get a free consultation.

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