CUSTOM AI DEVELOPMENT · LARGE LANGUAGE MODELS
AI-POWERED LARGE LANGUAGE MODEL (LLM) SOLUTIONS
Put large language models to work inside your business, safely and on your own terms.
We build bespoke LLM solutions on models such as OpenAI’s GPT, Claude, Llama and Gemini: chatbots and assistants, content and translation tools, and large-scale document analysis. We select the right model for each task and integrate it with your systems through custom-built APIs.
Model-agnostic: GPT, Claude, Llama, Gemini, Gemma, Grok
Custom APIs integrated with your systems
Deployment on cloud, on-premise or edge
THE PROBLEM
WHY LLM PILOTS STALL
Trying a chatbot is easy. Getting reliable value from LLMs inside real workflows is not.
WRONG MODEL
One model rarely fits every task, and costs and quality vary widely.
NO INTEGRATION
Standalone tools sit outside the systems where work actually happens.
INCONSISTENT OUTPUT
Without good prompting, guardrails and evaluation, answers vary in quality.
INFORMATION OVERLOAD
Teams cannot read and summarise the volume of documents they receive.
WHAT WE BUILD
LLM SOLUTIONS BUILT FOR YOUR WORKFLOWS
From customer-facing assistants to internal analysis tools.
CHATBOTS & CONVERSATIONAL AI
Bespoke chatbots and virtual assistants for customer support, sales and internal operations, with human-like interactions tailored to your brand and audience.
CONTENT CREATION
Automated copywriting for blogs, marketing materials and personalised messaging.
TRANSLATION & MULTILINGUAL SUPPORT
Automated content localisation and real-time translation across multiple languages, with consistency and cultural relevance.
DATA ANALYSIS & SUMMARISATION
Processing large volumes of data and documents quickly, extracting key insights and summarising complex material.
API DEVELOPMENT & MODEL SELECTION
Custom APIs that connect LLMs to your business systems, with automatic selection of the best model for each task.
EXPERT GUIDANCE & STRATEGY
Best practice for query formulation, deployment and efficiency, with tailored support to get the most from LLMs.
Have an LLM use case in mind? Tell us about it.
OUR ENGINE
MORE THAN A WRAPPER AROUND ONE MODEL
We do not resell a general-purpose platform. Three in-house technologies do the heavy lifting, each matched to the task.
NEURAL NETWORKS
Small, agile networks for classification, surrogate development, forecasting and pattern recognition.
In LLM projects: classifiers that route requests and check outputs.
IMAGE PROCESSING
Larger convolutional networks for image classification, image segmentation and background removal.
In LLM projects: extracting text from scanned documents and images.
GENETIC ALGORITHMS
Hybrid evolutionary optimisation using multiple cross-over, mutation and evolution techniques.
In LLM projects: optimising model choice, prompts and cost.
The same team and engine are behind Prime AI’s production software, including the API de ID Persistente do Dispositivo and the Clothing Size Finder used by retailers today. You work with engineers who ship production AI, not slideware.
HOW WE WORK
FROM FIRST CALL TO PRODUCTION
01
FREE CONSULTATION
Explain your challenge, or just explore how AI could streamline and enhance your current business practices. No commitment.
02
DISCOVERY & SCOPING
We review your data, systems and success criteria, then propose an approach, timeline and budget range.
03
PROOF OF CONCEPT
A focused prototype on your own data, so you can judge accuracy and value before scaling.
04
PRODUCTION & MLOps
Deployment to cloud, on-premise or edge, with monitoring, retraining and ongoing support.
Perguntas Frequentes
LLM DEVELOPMENT FAQ
We work with OpenAI’s GPT, Claude (including Sonnet and Haiku 3.5), Llama, Gemini, Gemma and Grok, and choose the best model for each task.
Yes. We build custom APIs that connect language models to your business systems, so they work inside existing workflows rather than as a separate tool.
Common uses are chatbots and virtual assistants, content creation, translation and localisation, and analysis and summarisation of large volumes of documents and data.
Yes. We deploy models across cloud, on-premise or edge environments, with CI/CD, version control, monitoring, drift detection and automated retraining to keep them accurate over time.
Every project is scoped individually, based on the problem, the data available and the accuracy and integration required. We usually start with a focused proof of concept on your own data, and you get an approach, timeline and budget range before any commitment.
You explain your challenge, or simply explore how AI could streamline and enhance your current business practices. We’ll tell you honestly whether AI is the right tool and, if it is, what a sensible first step looks like. There’s no commitment.
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TELL US WHAT YOU WANT AN LLM TO DO
Book a free consultation. We will tell you honestly whether AI is the right tool and, if it is, what a sensible first step looks like.