Custom AI development for websites, software, mobile apps and SaaS. Scope an AI feature, validate its output and launch with clear usage controls.
A promising demo is not yet a dependable product. Unpredictable outputs, slow responses and unclear API costs can stop an AI feature from reaching real users.
Give customers an AI capability that fits an existing journey, with measurable acceptance criteria, cost visibility and a fallback when the model cannot help.
Add generation, summarization, classification or recommendations to a web product. We define the input, output and review steps before choosing a model.
Connect an existing mobile app or SaaS backend to AI APIs with server-side credentials, per-user limits and usage tracking. New mobile interfaces are scoped separately.
Build a representative test set, compare quality and latency, and define acceptable failure behavior. RAG, agent tools and custom models are added only when the use case needs them.
SaaS teams adding intelligence to an existing product, startups validating an AI idea, and businesses commissioning custom AI software.
We agree acceptance criteria before kickoff. Changes to scope are reviewed before additional work begins.
Service-specific scope
Choose a useful starting point. We’ll confirm fit, dependencies and the final quote before you commit.
One-time project
Best for Validate one AI feature
One-time project
Best for Launch an AI-enabled web product
Custom engagement
Best for Multiple teams, sensitive data or complex integrations
All prices are starting estimates in USD, subject to an agreed scope. Hosting, AI/API usage, paid licenses, advertising and applicable taxes are additional. Timelines start with agreed requirements, access and content. Support hours, payment terms and acceptance criteria are confirmed in your proposal.
Compare ongoing support and managed plans →Explore the work
Browse relevant work from our public portfolio. Project examples illustrate the work; they do not imply guaranteed results for your project.
An AI content platform with a user workspace and generation tools.
Portfolio / 02An AI SaaS dashboard for managing a video-to-blog workflow.
From first conversation to ongoing support
We agree the stages your project needs, with review points and acceptance criteria before moving forward.
Define the outcome, scope, dependencies and budget.
Map the experience, data and technical approach.
Deliver agreed work in reviewable increments.
Configure access, environments and recovery needs.
Check critical flows against acceptance criteria.
Release with a handover and rollback plan.
Prioritize the next improvements using evidence.
Maintain and extend within an agreed support scope.
Usually the first step is evaluating existing models against your examples. Retrieval and prompt design may be enough. Fine-tuning or model training needs a separate data and feasibility assessment.
Yes. We review your architecture and add a bounded feature behind your existing authentication. Integrations are staged so a model failure does not block the core application.
The proposal separates development from provider usage. We can implement request limits, usage reporting and model selection rules; your provider bills actual consumption.
Plan the next step
Make your next move a clear one
Share your goal, current platform, budget range and target date. We’ll help turn the problem into a scoped next step.
Ramlit Limited is a global software & IT solutions company delivering secure, scalable, and smart digital experiences. From cloud infrastructure to AI automation — we help businesses grow, innovate, and thrive.