Unveiling opportunities for data collection
Most organisations face the same collection and storage problems. We help pull the requirements together, identify the issues, and surface the opportunities hiding in what you already hold.
Machine learning consulting shaped around your data
Data scientists and ML engineers experienced across unsupervised, supervised and reinforcement learning. We go into each case, select the tools that actually fit, and produce models built against your business requirements rather than a template.
2–4 week auditFixed feeWorks alongside your team
What we do
Our machine learning consulting services
Consulting matched to your requirements, your use cases and the peculiarities of your dataset.
Conducting exploratory data analysis
Step-by-step work starting with EDA, moving through to model development and training. The output is a report and recommendations grounded in the data rather than in assumption.
Implementing machine learning algorithms
Whatever the constraints, getting algorithms into the actual business workflow — with a best-fit approach to implementing and processing the data you provide.
Agentic systems
Autonomous agents and full agentic frameworks: planning, tool use, memory and handoff, with the evaluation harness that keeps behaviour predictable in production.
Retrieval-augmented generation
RAG pipelines over your own corpus — chunking, embedding, retrieval quality and grounding checks, so answers cite something real instead of improvising.
Model audit and validation
Reproducing your training and evaluation to find leakage, overfitting and metrics that flatter the model rather than describe it.
Start here
Start your next machine learning project
Four places teams usually begin. Each is scoped small enough to prove or discard in weeks.
Big data visualisation
Extract usable insight from unstructured data spread across multiple sources, and get it in front of the people who make the decisions rather than the people who build the pipelines.
NLP, LLMs and RAG
Collect, process and analyse language data to reshape strategy — retrieval-grounded assistants, classification and extraction over your own corpus.
Predictive analytics
Anticipate trends, sales and costs, and surface the anomalies that flag risk early enough to act on rather than explain afterwards.
Computer vision
Pull insight out of visual data: detect and classify images by their features, group them by topic, and run quality inspection at production throughput.
Why work with us
We go into the client's business problem and help machine-driven systems learn on their own well enough to perform. The focus is on self-learning solutions that hold up against unstructured data and still give accurate output.
That is the whole proposition: data-driven business success rather than a model that scores well in a notebook and then falls over on contact with production traffic.
Regardless of the stage your ML solution is at, you will not be left unaware of where it stands. We update on what is done and what is next, and adjust when the requirements move.
How we work
Six steps, start to finish
A well-established engineering culture, proprietary tooling and proven expertise in ML-based development and consulting — applied the same way every time.
Technologies
The stack we build on
What you get
What makes the engagement work
Years of experience
Experience building ML-powered solutions across industries, which mostly shows up as knowing which approaches quietly fail.
Top-notch technology
Data scientists and engineers working with current tooling rather than whatever was current when they trained.
Reliable development partner
A development partner you can place trust in — including when the honest answer is that something will not work.
Business-first approach
Your business needs come first, which is why the planning and consulting stage gets disproportionate attention.
Client participation
You are never left unaware of current status. Updates on completed and ongoing tasks, and changes implemented when needed.
Sophisticated technology
Current tools and capabilities used to upgrade and reinforce your business model, not to pad an invoice.
Why us
Why teams work with InfuseAI
Findings, not opinions
Every conclusion is reproduced from your own code and data, with the evidence attached.
Senior people, directly
Senior ML engineers on the work, not a junior team behind an account manager.
Sized by impact
Findings ranked by impact and effort so you can pick the top three, not receive a hundred-page wish list.
No lock-in
The remediation plan is written to be executed by your own team if that is what you want.
Related
Other ways we can help
Start here
Tell us the problem. We'll tell you if it's worth solving.
Thirty minutes with an engineer, not a salesperson. You leave with a rough scope, a cost band and an honest read on feasibility.
30 minutes with an engineer · No slide deck · Reply within one business day