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At Webmyne, we develop generative AI solutions that range from drafting content and answering questions from your own data to automating tasks and more that help with real business outcomes.
Our team develops solutions based on whether you need a standalone AI application or AI capabilities integrated into an existing product.
We build content generation tools, internal copilots, customer-facing chat features, and automation, using commercial models like GPT and Claude, as well as open-source models such as Llama and Mistral.
Any feature or product we develop is extensively integrated into your databases, CRMs, or support systems to ensure optimal performance.
We use retrieval-based techniques and evaluation testing to keep outputs accurate and reduce the risk of the model hallucinating.
Situation-dependent, we help you choose between hosted APIs and self-hosted models, then monitor usage, output quality, and cost once your new system goes live.
At Webmyne, we start by approaching each Generative AI development project like so:
We define exactly what task the AI needs to do, and what a good result looks like.
We look at what data you actually have, and whether it's usable, before promising a specific outcome.
We decide whether an off-the-shelf API is enough, or if we need a custom or fine-tuned build while also considering the costs.
We put in strict limits and checks from the ground up so the system stays within its intended use.
We agree upfront on how the success of the project will be measured and work towards achieving it.
We plan deployment, integration, monitoring, and maintenance to move the AI solution into reliable daily use.
The task, the systems it touches, and what a wrong action would cost.
Permission scopes, approval points, the success condition, and where the agent escalates when unsure.
Tool integration and orchestration in sprints, tested in a sandbox before touching production data.
Outcome and trajectory scoring, adversarial testing for prompt injection, and load testing against rate limits.
Staged rollout on a narrow scope first, with tracing and alerting, then support under an agreed response time.
Tell us what you're looking to automate, improve, or build, and we'll help identify the right generative AI services for your requirements.
Plan your projectAny business that relies heavily on document processing, content generation or tasks that require time- and resource-heavy manual work can benefit from generative AI.
Unless you have a very specific use case, for the majority of use cases, existing models like GPT or Claude connected to your systems do the required job.
Your data is generally secure even when using existing models. That said, we always choose a model and deployment options based on the sensitivity of your data and bake in guardrails at every level.
Yes. We design solutions that can be extended with additional features, integrations, workflows, and AI capabilities as your requirements evolve.
As generative AI consultants, we’ll tell you upfront if generative AI isn’t the right fit, so you don’t spend on the wrong solution.