Generative AI Development & Integration Services

We work with all major models — OpenAI, Anthropic, Google and Mistral — and can fine-tune open-source models like Llama for specific use cases and data requirements.

We fine-tune models on your brand guidelines, style guides, and existing content to ensure consistent voice, tone, and messaging across all AI-generated materials.

Yes, we connect directly with CRM, CMS, marketing platforms, and other business systems through APIs and custom connectors.

We implement multi-layer quality control including human-in-the-loop validation, automated quality checks, fact verification, and continuous feedback mechanisms.

Most projects take 6-12 weeks from strategy to deployment, depending on complexity, data preparation requirements, and integration scope.

RejoiceHub is ISO/IEC 27001:2022 certified (certificate 305026051136IS, issued by QRO Certification LLP under EGAC accreditation, valid to 10 May 2029). The certified scope covers information security for computer programming, software development, website development, application development, and IT & AI related services. We are also ISO/IEC 20000-1:2018 certified for IT service management (certificate 305026051137SM). Certificates are available on request and verifiable with the issuing body.

IP terms are set in your engagement contract rather than by a blanket policy. We agree them in writing before work starts, so ownership of the deliverables, the treatment of any pre-existing or reusable components, and the third-party licences involved are all explicit from day one. Raise it during discovery and the terms go into the proposal.

Not being locked to us is a design goal, not an afterthought — we build on standard, portable technology rather than a proprietary runtime you would have to keep paying for. The specifics of any engagement (where it is hosted, who holds the cloud accounts, exactly what is handed over and when) are agreed up front and written into the contract. Ask during discovery and we will set out what handover looks like for your project.

We build a guardrail layer into agent and chat systems rather than bolting one on afterwards: PII detection and redaction, prompt-injection protection, output validation, content moderation, policy-based response control, and audit logging so decisions can be reviewed after the fact. Which controls matter, and how strict they are, depends on your policies and risk appetite — we define those with you during discovery, because a guardrail is only as good as the policy behind it.