Analyse and extract meaningful insights from your data and get data-driven recommendations to automate your workflows and reduce operational costs without extra stress. We build, test, and refine in fast cycles, so you get to value sooner.
We build LLMs on top of ChatGPT, Gemini, Llama, Claude, Mistral and smoothly integrate them into your ecosystem. Our NLP, machine learning, and data science experts check for performance, and ensure the LLM model is fine-tuned and optimised to give an accurate result for a specific task, so you’re always confident and informed.
As your zero-headaches software development partner, we assist in refining your business vision and outline a complex strategy for implementing language models. Our specialists identify use cases, evaluate your proprietary data, and offer actionable advice on technological infrastructure.
We enhance off-the-shelf LLMs by fine-tuning them with your data, maximising the base models’ value for your business. Our engineers refine model accuracy and efficiency to meet your unique operational needs with zero stress.
We guarantee quality and reliability, so your language learning models performs perfectly round the clock. Our generative AI solutions evolve alongside your business needs, from continuous optimisation to troubleshooting.
What we bring to the table
We turn visions into reality by developing NLP models using structured and semi-structured data and libraries such as TensorFlow, Keras, PyTorch. We extract information from search queries, internet data, business databases, and audio files, so you can quickly access valuable insights.
Our machine learning models excel through few-shot learning when acquiring labelled data. This approach allows models to generalise from minimal labelled examples during training, optimising performance with limited data inputs.
We use adaptable ML toolkits (TensorFlow, Keras, PyTorch) to build sophisticated ML solutions. These tools empower us to implement diverse algorithms, including supervised, unsupervised, and reinforcement learning methods, so you get to value sooner.
By integrating contextual information during training, we enhance models’ ability to comprehend context, enabling advanced reasoning, inference, and specialised problem-solving capabilities.
We employ sentiment analysis to determine the emotional tone (positive, neutral, or negative) of textual data. So, your business can refine products and services based on customer feedback and sentiment insights without unnecessary complexity.
You can automate content creation across domains such as journalism, marketing, and entertainment by generating human-like text based on input prompts. Streamline workflows by reducing manual effort in content production and AI text analysis with ease.
Integrating LLMs into chatbots and virtual assistants improves customer support interactions. These models contextually understand and respond to customer queries, improving the overall customer experience, so nothing keeps you up at night.
Analyse large datasets and extract meaningful insights and trends. LLMs assist businesses in making data-driven decisions by processing unstructured data from sources like social media, customer reviews, and research papers.
LLMs power recommendation systems by understanding user preferences and behaviour from text inputs. They optimise personalised content delivery in eCommerce, streaming platforms, and social media.
AI-powered virtual assistants automate customer interactions, provide personalised service, assist with troubleshooting, answer inquiries 24/7, and guide customers through the sales process. By streamlining interactions and delivering customer-centric support, they elevate customer satisfaction levels.
Automate language translation, enabling your businesses to confidently overcome language barriers and expand your global footprint. Businesses can offer real-time written and spoken translations for live chats, international events, and customer support interactions, enhancing global connectivity.
Push the boundaries of what’s possible with technology, enhance customer engagement and drive sales. Custom-built AI solutions streamline customer support, deliver personalised recommendations, and analyse customer behaviour, ensuring you never have to worry about the details.
Achieve significant cost savings by automating tasks traditionally handled by human resources. Automate business management tasks across sales, marketing, customer service, and administration, optimising operational efficiency and getting to value faster.
Reveal new business opportunities with custom models that use real-time conversation data. From sentiment analysis to upselling strategies, LLMs integrate customer insights, market trends, and social media data to inform strategic decision-making.
Integrate large language learning models directly into your applications to expand the functionality and support conversational search capabilities. You can maximise data usage, optimise application performance, and effectively manage increasing workloads with zero stress.
We don’t stretch projects into “phases.” We ship usable AI solutions for business fast, test in real data, and scale what works.
We build AI inside your infrastructure, not on top of it. Your systems. Your data. Your rules.
We use AI daily. We know what works because we’ve already broken it, fixed it, and scaled it ourselves.
Clients see 4× faster delivery and up to 30% cost reduction once AI-powered business solutions go live. Efficiency stops being a KPI, it becomes your default setting.
What we do: Interview stakeholders, review data flows, check system access, and score use cases by impact vs. effort. What you get: A short decision brief: target workflow, success metric, data needs, and risk flags.
What we do: Build a working pilot against real data: a copilot, agent, or model plugged into a safe slice of your stack. What you get: A demo you can click, latency/accuracy numbers, and a rollout plan.
What we do: Wire the pilot into production: APIs, auth, permissions, logs, and monitoring. What you get: A deployed feature or workflow that people actually use – with audit trails and alerts.
What we do: Expand to new teams/use cases, tune prompts/models, and train your people. What you get: Dashboards, SOPs, and a clean handover – or we keep running it with you.
Altamira helped us to shape the future of music by launching our disruptive publishing tool scodo. What I appreciate most in working with them is their incredibly structured approach while keeping a strong focus on reaching our project’s goals. And of course all of that paired with highly talented and likeable people across the board.
Head of Services, Universal Edition
It has been an absolute pleasure working with the team at Altamira. We have never been blocked or impeded by their work. They operate efficiently and quickly to get the job done.
CEO, CTRL Golf
Being deeply invested in the education sector, it was quite a challenge to find a software development partner capable of understanding and delivering on our vision. Altamira rose to the occasion, meeting our expectations with the development of our educational solution. Their holistic approach was evident in how professionally they integrated our ideas with their expertise, resulting in a product that totally meets our goals.
CEO, Elula
At first, I felt hesitant about trusting such a complex project to outsource developers. But, fortunately, my concerns appeared to be absolutely unfounded. Altamira team did amazing job! And I was pleasantly surprised by how well-established processes they have.
CTO, Ticker Tocker
Communication was excellent and my original idea became real thanks to the brilliant work of Business Analysts and Project Managers. Their prompts were always on time, hence there were no misunderstandings in the process. I am absolutely satisfied with how my app looks and functions. It is exactly what I wanted to get when I decided to go with this team.
CEO & Co-founder, Aquiline Drones
Altamira produced superlative deliverables that provide valuable information to guide internal operations and support sales processes. The team was receptive to feedback, adapting resources to ensure effective collaboration.
CTO, SOLJETS
NLP, or Natural Language Processing, is a field of artificial intelligence focused on the interaction between computers and human language. It involves tasks like language translation, sentiment analysis, and text summarisation. LLM, or Large Language Model, is a type of AI model that has been trained on vast amounts of text data to understand and generate human-like text. While NLP covers a wide range of techniques and applications, an LLM is a specific tool used within NLP to perform complex language-related tasks. Get in touch to learn more.
Yes, an LLM is a type of neural network. Specifically, it is a deep learning model that uses layers of neurons to process and generate human language. These models are typically based on architectures like transformers, which allow them to handle and generate coherent and contextually relevant text based on the data they have been trained on. Get in touch to learn more.
An LLM is a broad type of AI model designed to understand and generate text across a wide range of contexts and topics. A chat model, on the other hand, is a specialised application of an LLM tailored for conversational interactions. While both use similar underlying technology, chat models are fine-tuned to handle dialogue, maintain context over a conversation, and provide responses that mimic natural human conversation. Contact us to get a free expert consultation.
An example of an LLM model is OpenAI’s GPT-4. This model has been trained on a diverse dataset containing a wide range of internet text, enabling it to perform various language tasks such as text generation, translation, summarisation, and answering questions.
An LLM is useful for a variety of applications, including but not limited to:
Its ability to understand and generate text makes it a powerful tool for enhancing communication and automating language-related tasks. Contact us to get a free expert consultation.
