Imobisoft provides LLM and generative AI development for UK businesses. We build on proprietary and open-source models to automate document-heavy work, answer questions from your own data and reduce the time routine tasks take.
Our LLM development services cover the full lifecycle: choosing the right large language model (LLM), connecting it to your data, fine-tuning it where that is justified and deploying it with the checks and approvals your business needs.
Applications built on large language models that draft, summarise and answer questions from your own documents using retrieval-augmented generation (RAG).
Agents that complete multi-step tasks across your systems, with scoped permissions, every action logged and human approval for high-impact actions.
We choose the right proprietary or open-source model for your use case and fine-tune it when prompting and retrieval fall short.
Automate routine work inside the CRMs, document stores and business applications your team already uses, connected through their APIs.
Extract, classify and summarise text at scale, from contracts and reports to customer feedback, including sentiment analysis.
Draft text, images and other media within your brand guidelines, with a review step before anything is published.
Every LLM project we take on starts from a specific business problem, not from a model, and is built with the checks that keep it accurate, secure and affordable. For predictive analytics, see AI and machine learning; for broader AI roadmaps, AI strategy and consulting; and for edge AI on connected devices, IoT development.
Our five-stage approach takes an LLM project from a defined problem to a monitored system your team can run, with user testing, ethical design and cost control built into every stage. Recent work includes AI-drafted compliance reports for Hydraclean and our own CRM, built with six AI agents in six weeks.
We start with your objectives, constraints and data. Workshops and a review of your data identify where an LLM will add most value, what the process costs today and how success will be measured.
We choose the model and architecture, map the data flows and set the rules: what the system can access, which actions need human approval and what is logged, in line with your ethical and compliance requirements.
We build a working prototype to validate core features. Testing with users and stakeholders on real examples, including inputs designed to break it, refines accuracy, usability and fairness before full-scale development.
Once approved, we build the final solution and integrate it into your workflows and systems. Training sessions and documentation give your team the confidence to use and manage the new tools.
After launch, we monitor accuracy, performance and running costs, update models with fresh data or move to better-value models as they appear, and adapt the system as your business grows.
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