Increase revenue
Make customers feel heard and lift sales. Custom-built AI streamlines support, generates tailored recommendations and analyses your customers, while your team concentrates on growing the business.
Large language model development and consulting
Maximise automation and bring operational costs down, with engineers who have shipped large language models into production rather than into a demo.
Foundation model agnosticFine-tuned on your dataArbitration layer included
Benefits
The distinctive benefits of large language models
Getting your arms around what an LLM is actually worth in a corporate setting.
Reduce operational costs
Cut cost by automating the tasks that currently need human labour. From customer experience through to admin work, a custom LLM does the heavy lifting across sales, marketing and service.
Find growth opportunities
From sentiment analysis to upselling, a custom model unlocks use cases built on real-time conversation data — casting a wide net across customer data, market trends and social signals.
Strengthen your tech core
Embed language models into your applications to raise throughput and enable conversational search. Request specific outputs, get more from the data you hold, and keep up as workloads grow.
Our expertise
Expertise in large language model development
A broad spectrum of LLM services, sized to meet the need at scale.
Strategy and consulting
We help you get a firmer handle on the business vision and set out a step-by-step strategy for adopting language models. Our developers define the use case, assess your proprietary data, and give concrete recommendations on the infrastructure underneath.
- Business case analysis
- Proof of concept
- Overview of proprietary data
- Project estimation and roadmap
LLM development
Our engineers build custom models on top of GPT, DALL·E and other foundation models, and make them a native part of your tech ecosystem. NLP, machine learning and data science expertise tailoring the model to what your business actually needs.
- User workflow development
- Custom solutions development
- Dataset preparation
- Evaluation harness
Fine-tuning
We customise off-the-shelf models with your data to get maximum value out of a base model. Our ML engineers tune to your specific needs, push accuracy up, and make the model cheaper to run at the same time.
- Large language model fine-tuning
- API integration
- Data architecture modernisation
- Large language model automation
Support and maintenance
Our support team keeps a close watch on the model and makes sure performance holds. From optimisation through to troubleshooting, we stay on to perfect, extend and evolve the solution rather than handing it over and disappearing.
- Model monitoring
- Model updates
- Data retraining pipeline
- Risk management and compliance
Integration
Integrating language models, friction-free
How our developers weave conversational AI into infrastructure you already run.
Step 1Data preparation
Client dataset
and / or
Indexed documents
If you do not have usable data yet, there are options — parsing, licensing or buying a dataset to start from.
Step 2Model deployment and training
Arbitration model
Constrains the functionality, so the assistant will not wander onto topics it has no business discussing.
LLM model
The reasoning core of the system.
Step 3Connecting with the environment
I/O interfaces
Where your users actually meet the model — usually a chat surface or an API your own product calls.
Use cases
Where large language models earn their place
Gaining a competitive position by being AI-first, rather than AI-eventually.
Move past generic bot interactions to personalised messaging, automated upselling and digital avatar experiences that guide a customer through to purchase.
Draft, expand and rewrite at volume — product copy, campaign variants and internal documentation, in your own voice rather than a generic one.
Multilingual support and localisation that keeps meaning and tone intact, across the formats and channels you already publish through.
Recommendations shaped by what each customer is doing now, not by a segment they were assigned to six months ago.
Classification, extraction and sentiment over reviews, tickets and transcripts, at whatever volume arrives.
Adaptive learning material, automated assessment and explanations that adjust to the learner rather than the syllabus.
Structured long-form drafting for media, training and product narrative, with a consistent house style throughout.
At scale
Broad expertise meets your needs at scale
Cross-functional teams to get past the complexity that LLM development brings with it.
Machine learning
Our developers push generative AI further with machine learning — predictive analytics, model training, and the AI features the business actually asked for.
Natural language processing
NLP experience applied to mining data across formats and platforms, and adapting sentiment and customer analysis where it genuinely matters.
Cloud computing
Our cloud engineers make sure the infrastructure and operating model can carry language models — including full migration, or right-sizing what you already run.
Data engineering
We rethink the data layer with AI in mind and put the right practices in place, so the platform supports the next transformation as well as this one.
Why us
Why teams work with InfuseAI
Arbitration by default
Every assistant ships with a constraint layer, so it answers in scope and declines gracefully outside it.
Evaluated, not asserted
An eval harness comes with the build, so quality regressions surface before your users find them.
Senior people, directly
Senior NLP and ML engineers on the work rather than a junior team behind an account manager.
Model-agnostic
GPT, Claude, Mistral or open weights — picked on cost and fit, with the reasoning shown.
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