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APPLIED AI

Intelligence
at scale.

Applied AI that moves your business from proof-of-concept into production systems that generate measurable revenue — fast.

Artificial intelligence and machine learning technology
What We Do

AI that works
in production.

AI projects fail when they never leave the proof-of-concept stage. We specialize in taking AI from experimentation to production systems that generate measurable business value — integrated into the workflows your teams already use.

Every deployment includes governance, monitoring, and clear success metrics. You get AI that ships, scales, and satisfies audit requirements — not a demo that collects dust.

What We Deliver

AI systems that generate revenue.

01

AI Strategy & Use Case Prioritization

We audit your business for AI opportunities, rank them by commercial impact and implementation feasibility, and deliver a sequenced AI adoption roadmap your leadership can fund and defend.

02

Model Development & Integration

Custom LLM fine-tuning, retrieval-augmented generation (RAG) systems, classification models, and ML pipelines — integrated into your existing software and workflows, not delivered as standalone tools.

03

AI Governance & Monitoring

Model performance monitoring, bias detection, explainability reporting, and governance frameworks that satisfy audit, legal, and compliance requirements as AI regulation matures.

Tools & Technologies

The stack we work with.

Vendor-neutral by principle. We recommend what fits your needs, not what we're certified to resell.

Foundation Models
OpenAIOpenAI
AnthropicAnthropic
Google VertexGoogle Vertex
Hugging FaceHugging Face
Engineering Stack
LangChain
Pinecone
PyTorchPyTorch
FastAPIFastAPI
PythonPython
How We Engage

What working with us looks like.

01

Discover

We audit your current tech stack, processes, and gaps. No assumptions. We talk to your people and read your actual systems.

02

Architect

We design a solution specific to your business — not adapted from a template. You review and approve before a single line of code is written.

03

Build

Agile delivery in 2-week sprints with working demos. You see progress every fortnight — no month-long black boxes.

04

Operate

We don't disappear at launch. Ongoing support, monitoring, and iteration until the system performs as promised.

POC→Prod

In under 8 weeks

From proof-of-concept to production deployment on a fixed timeline.

Practical

No hype, just working systems

AI that solves real business problems with measurable ROI.

Governed

AI with compliance built in

Monitoring, bias detection, and audit-ready documentation from day one.

Common Questions

Straight answers.

We've done AI POCs that went nowhere — how are you different?+
We scope every AI engagement with a production deployment target from day one. POCs are time-boxed to 2–3 weeks with explicit go/no-go criteria. If it works, we integrate it into your existing systems immediately — not hand you a Jupyter notebook and walk away.
Is our data safe with LLM providers?+
We assess data sensitivity before selecting models. For confidential data, we deploy private instances, use on-premise open-source models, or implement RAG architectures that keep your data in your infrastructure. We never send sensitive data to public APIs without explicit client approval.
What AI use cases deliver the fastest ROI?+
Document processing, customer support automation, and internal knowledge search typically show ROI within 8–12 weeks. We run a use case prioritization workshop to rank opportunities by commercial impact, data readiness, and implementation complexity before recommending where to start.
Do you build custom models or use off-the-shelf?+
Both, depending on the use case. We use foundation models (GPT-4, Claude, Gemini) with RAG for most knowledge applications. Custom fine-tuning and classification models are built when domain-specific accuracy requirements exceed what prompting alone can achieve.
How do you handle AI governance and compliance?+
Every production AI system includes model monitoring, output logging, bias testing, and explainability documentation. We build governance frameworks aligned with emerging EU AI Act requirements and industry-specific regulations — so you're audit-ready as regulation matures.

There are 3 AI opportunities in your business right now.

We'll find them. One conversation, no commitment, real output.

Explore Applied AI →