Turn repetitive work, disconnected data, and manual processes into smarter business operations. Openpointer designs and develops custom AI solutions—from intelligent assistants and AI agents to workflow automation, document processing, and predictive analytics.
We help you move from an AI idea to a practical solution that integrates with your existing tools, supports your team, and fits your business requirements.
Clear project scope · Practical implementation · Deployment and handover
AI Development Services
AI Solutions Designed for Real Business Work
Every business has different processes, systems, and data. We help you identify where AI can provide value, choose an appropriate technical approach, and build a solution around your requirements.
Whether you want to improve an existing product, automate an internal process, or create a new AI-powered application, Openpointer can help you plan, develop, integrate, and deploy it.
AI Service 01
AI-Powered Landing Pages & Conversion Experiences
Create a website experience that does more than present information. We build conversion-focused landing pages with AI-powered conversations, lead qualification, CRM integrations, and analytics.
What we can build
Custom landing pages and user interfaces
AI assistants that answer visitor questions
Lead qualification and enquiry routing
CRM and marketing-tool integrations
Analytics and conversion tracking
Ideal for: Businesses that want to capture better-qualified enquiries and make it easier for prospective customers to take the next step.
AI Service 02
RAG Development & Knowledge Assistants
Make business knowledge easier to search and use. We build retrieval-augmented generation (RAG) systems that connect language models to approved company documents, databases, and knowledge sources.
What we can build
Document-based question-answering assistants
Internal company knowledge search
PDF and database ingestion pipelines
Semantic search and retrieval systems
Source citations and access controls where appropriate
Integrations with existing business tools
Ideal for: Teams that spend too much time searching documents, answering repeated questions, or navigating information spread across different systems.
AI Service 03
AI Agent Development & Workflow Automation
Automate multi-step tasks with AI agents and connected workflows. We develop systems that use language models, business rules, APIs, and existing applications to carry out defined tasks with appropriate controls.
What we can build
AI agents connected to business applications
Customer enquiry classification and routing
CRM and ERP workflow automation
Multi-step data processing workflows
Automated reporting and task coordination
Human approval steps for sensitive actions
Ideal for: Businesses looking to reduce repetitive administrative work, improve response times, and connect disconnected processes.
AI Service 04
Document AI & Intelligent Data Extraction
Turn unstructured documents into usable business data. We build document-processing solutions that extract, classify, and structure information from invoices, receipts, contracts, forms, and other business records.
What we can build
OCR and document text extraction
Invoice and receipt data processing
Contract and form field extraction
Document classification and routing
Structured data exports and API integrations
Validation and exception-handling workflows
Ideal for: Teams that manually enter information from large numbers of documents or need a more consistent way to process business records.
AI Service 05
Predictive Analytics & Machine Learning
Use existing data to support better-informed business decisions. We develop machine learning models that analyze historical data, identify patterns, and generate predictions for defined business problems.
What we can build
Demand and sales forecasting models
Customer churn prediction
Custom classification and prediction systems
Data-processing pipelines
Model APIs and application integrations
Dashboards for reviewing model outputs
Ideal for: Businesses with relevant historical data that want to understand trends, anticipate changes, and improve planning.
AI Service 06
LLM Fine-Tuning & Private Model Deployment
Adapt language models to specific business requirements when a standard model or prompt-based approach is not enough. We can assess options for fine-tuning open-weight models, controlled deployment, and application integration.
What we can build
Model selection and technical evaluation
Fine-tuning and parameter-efficient training
Dataset preparation and evaluation
Private or self-hosted model deployment
API development and application integration
Inference cost and performance optimization
Ideal for: Organizations that need greater control over AI deployment, specialized model behavior, or an approach tailored to their data and infrastructure.
Why Openpointer
AI Engineering Focused on Your Business Goals
A useful AI solution needs more than a model or chatbot interface. It needs to fit the way your business works and be maintainable after launch.
A solution shaped around your requirements
We start with your business problem, existing process, and desired outcomes before recommending an implementation.
Clear scope and deliverables
We define the proposed features, integrations, milestones, and expected outputs before development begins.
Integration with existing tools
Where appropriate, we connect AI capabilities to your applications, databases, and workflows instead of requiring a complete rebuild.
Practical deployment and handover
Delivery can include deployment, technical documentation, and knowledge transfer based on the agreed project scope.
Security considered from the start
Data access, permissions, deployment requirements, and privacy constraints are considered during solution design.
Maintainability in mind
We aim to deliver systems your team can understand, operate, and extend as requirements evolve.
Our Process
From Business Problem to Deployed AI
A clear process helps align the solution with your requirements, data, integrations, and delivery expectations.
01
Discovery & requirements
We discuss the problem, current process, relevant data, and the systems the solution needs to work with.
02
Solution design & scope
We recommend a technical approach, define the main features, identify dependencies, and agree on deliverables and milestones.
03
Development & integration
We build the agreed solution, connect required systems, and test workflows against relevant use cases.
04
Evaluation & deployment
We assess the solution against agreed acceptance criteria, address identified issues, and prepare it for its intended environment.
05
Documentation & handover
We provide documentation, knowledge transfer, and post-launch support as agreed for the project.
What Can You Expect?
Deliverables depend on your selected service and project scope. An engagement may include:
A working AI application, assistant, agent, or automation workflow
Integration with specified APIs, databases, or business tools
Document-processing or data-retrieval pipelines
Model evaluation and testing against agreed use cases
Deployment configuration and technical documentation
Handover and support based on the project agreement
Project timelines
Focused projects may fit within a few weeks, while complex integrations and production deployments can require more time. We establish a realistic timeline after reviewing your requirements, data readiness, integrations, and testing needs.
FAQs
Frequently Asked Questions
What are custom AI development services?+
Custom AI development involves designing and building AI-powered applications or systems for a particular business need. Examples include AI assistants, agents, document-processing systems, predictive models, and workflow automations.
What is the difference between an AI agent and workflow automation?+
Traditional workflow automation generally follows predefined rules and steps. An AI agent can use a language model and approved tools to interpret a task, choose between supported actions, and complete multiple steps. The right choice depends on how predictable the task is and how much autonomy it requires.
What is RAG development?+
Retrieval-augmented generation (RAG) connects a language model to an external knowledge source. The system retrieves relevant information before generating a response, helping ground answers in available documents or data. Reliability still depends on retrieval quality, source data, evaluation, and system design.
Can you integrate AI into our existing software?+
Yes, where the required systems provide suitable integration options. Depending on your requirements, we can work with APIs, databases, websites, internal applications, and other supported business tools.
Can you build a private AI solution?+
We can assess deployment options based on your privacy, infrastructure, and security requirements. These may include controlled cloud environments or self-hosted open-weight models. The appropriate setup depends on the use case and technical constraints.
How long does an AI development project take?+
Timelines depend on scope, data readiness, integrations, testing requirements, and deployment complexity. A focused implementation may take a few weeks; larger production systems may take longer. We provide a project-specific estimate after discovery.
How much does custom AI development cost?+
Cost depends on the solution, required integrations, data preparation, deployment environment, and ongoing support. Contact us with your requirements so we can discuss the scope and a suitable engagement.
What do you need to get started?+
A short description of the problem, your current workflow, the systems involved, and the outcome you want to achieve is a useful starting point. You do not need a complete technical specification before the first discussion.
Let’s Discuss Your AI Project
Have a Business Problem AI Could Help Solve?
Tell us what you want to improve, automate, or build. We’ll discuss your requirements and explore a practical technical approach for your business.
