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AI Consulting & Development

From strategy to production-grade AI systems.

Most AI initiatives stall in the gap between an impressive demo and a system the business can actually rely on. Logarithms exists to close that gap. We pair applied research with disciplined engineering so AI stops being a slide in a strategy deck and becomes infrastructure your company runs on.

We are product builders first. YEpsilon — our autonomous ad-optimization platform — runs Bayesian decision engines in production every single day. We bring that same rigor to client work: explicit success metrics, evaluation harnesses, guardrails, and systems designed to be observed, trusted, and improved over time.

What you can expect

  • A prioritized AI roadmap tied to revenue, cost, or risk — not hype
  • Production systems with evaluation, monitoring, and guardrails — not throwaway demos
  • Your internal team upskilled to own and extend what we build

Capabilities

What AI Consulting & Development covers

Practical, sellable services — engaged individually or as a programme.

AI Strategy & Readiness Assessment

We audit your data, workflows, and goals to identify and prioritize high-ROI AI use cases, then deliver a sequenced roadmap with feasibility, cost, and impact estimates you can take to the board.

Generative AI & LLM Solutions

RAG systems, copilots, document intelligence, and customer-facing assistants — with retrieval, prompt orchestration, fine-tuning, and evaluation built in from day one.

AI Agents & Workflow Automation

Autonomous and multi-agent systems that take real actions across your tools, with the orchestration, tool-use, and human-in-the-loop controls needed to run them safely.

Custom Machine Learning

Forecasting, recommendation, classification, scoring, computer vision, and NLP models trained on your first-party data and deployed straight into your stack.

MLOps & AI Infrastructure

Model deployment, versioning, evaluation pipelines, observability, and cost controls so your AI stays reliable, explainable, and affordable as it scales.

Data Engineering for AI

The foundation AI depends on: ingestion pipelines, vector databases, feature stores, and clean, governed data ready for retrieval and training.

How it works

A clear path from idea to impact

01

Discover

Workshops and a data audit to surface and rank the use cases worth pursuing.

02

Prototype

A working proof-of-value against real data and a defined success metric.

03

Productionize

Engineer the prototype into a monitored, evaluated, secure production system.

04

Operate

Hand over, document, and support — or run it for you while your team ramps.

FAQ

AI Consulting & Development, in detail

AI Consulting & Development spans AI Strategy & Readiness Assessment, Generative AI & LLM Solutions, AI Agents & Workflow Automation, Custom Machine Learning, MLOps & AI Infrastructure, Data Engineering for AI. We scope every engagement to your goals, so you invest only in the work that moves your numbers.

We run a clear four-step process — Discover → Prototype → Productionize → Operate — with defined deliverables and success metrics at each step, and a handover that leaves your team able to run what we build.

We find the highest-value AI opportunities in your business, then build and ship the systems that capture them — generative AI, autonomous agents, custom ML, and the data infrastructure underneath. If that maps to a real problem you're facing — at any stage from startup to enterprise — it's a fit. The fastest way to find out is a short discovery call.

Ready to get started?

Let's talk about your ai consulting & development goals and where we can help most.