Built Around Your Business
Custom AI applications, chatbots, automation, and AI integrations for businesses of every size, all scoped to your workflows, your data, and the software you already run.
Tell us what you want to build. We reply with a suggested approach and an estimate.
Engineers and AI developers, not generalists
Scoping, build, launch, and ongoing support
Manufacturing, healthcare, finance, SaaS and more
Works inside the software and data you already run
Most projects combine two or three of these. For example, a knowledge assistant built with RAG and delivered as a chatbot inside your existing tools. Select any service for detail.
Built around your workflows, data and users
AI-powered software built around your specific requirements rather than a generic tool with light configuration. The right fit when off-the-shelf products cannot accommodate your process, your data model, or your existing stack.
Drafting, summarising and answering on your content
Applications that use large language models for content generation, summarization, analysis, and conversational experiences. We work on prompt design, retrieval, structured outputs, and evaluation so results stay useful and reliable.
Assistants that answer, route and resolve
Chatbots and virtual assistants for customer support, lead qualification, internal support, and knowledge sharing. We design them to work on your website, inside your product, or in the tools your team already uses.
AI connected to the systems you already run
Adding AI capabilities to existing products: mobile apps, SaaS platforms, CRMs, ERPs, and internal business systems. Our focus is on making the integration secure and reliable, because it has to sit beside the software you already rely on.
Repetitive work handled end to end
Automation for document processing, data extraction, classification, customer inquiries, and internal workflows. We target processes where unstructured input is the bottleneck, then keep a person in the loop where accuracy matters.
Products with AI at the core
We add AI features to an existing SaaS product or build a new AI-powered SaaS platform, including authentication, billing, API usage controls, subscriptions, and roles for your users.
Models and APIs wired in safely
We connect software to AI APIs and models that fit the project, with attention to security, reliability, latency, and cost control. Model selection is based on your tests, not on a default.
Answers grounded in your documents
We connect AI to approved business documents, databases, and knowledge bases so users receive relevant, sourced answers. Retrieval accuracy decides whether these systems are useful, so we treat evaluation as part of the build.
A clear plan before you build
We identify practical AI opportunities, evaluate technical feasibility, and set an approach that fits your requirements and budget. Sometimes the answer is a smaller project than expected, or an independent view before committing budget.
Built around your workflows, data and users
AI-powered software built around your specific requirements rather than a generic tool with light configuration. The right fit when off-the-shelf products cannot accommodate your process, your data model, or your existing stack.
Drafting, summarising and answering on your content
Applications that use large language models for content generation, summarization, analysis, and conversational experiences. We work on prompt design, retrieval, structured outputs, and evaluation so results stay useful and reliable.
Assistants that answer, route and resolve
Chatbots and virtual assistants for customer support, lead qualification, internal support, and knowledge sharing. We design them to work on your website, inside your product, or in the tools your team already uses.
AI connected to the systems you already run
Adding AI capabilities to existing products: mobile apps, SaaS platforms, CRMs, ERPs, and internal business systems. Our focus is on making the integration secure and reliable, because it has to sit beside the software you already rely on.
Repetitive work handled end to end
Automation for document processing, data extraction, classification, customer inquiries, and internal workflows. We target processes where unstructured input is the bottleneck, then keep a person in the loop where accuracy matters.
Products with AI at the core
We add AI features to an existing SaaS product or build a new AI-powered SaaS platform, including authentication, billing, API usage controls, subscriptions, and roles for your users.
Models and APIs wired in safely
We connect software to AI APIs and models that fit the project, with attention to security, reliability, latency, and cost control. Model selection is based on your tests, not on a default.
Answers grounded in your documents
We connect AI to approved business documents, databases, and knowledge bases so users receive relevant, sourced answers. Retrieval accuracy decides whether these systems are useful, so we treat evaluation as part of the build.
A clear plan before you build
We identify practical AI opportunities, evaluate technical feasibility, and set an approach that fits your requirements and budget. Sometimes the answer is a smaller project than expected, or an independent view before committing budget.
A selection of AI applications we have designed and built, and the business problems each one addresses.
Apex Precision Manufacturing needed a faster, more reliable way to inspect products and reduce defects without slowing down production.
We offered:
StreamSafe needed an AI-powered content moderation system to detect harmful content across live video, audio, and chat in real time.
We offered:
AI can be useful across many areas of a business. Actual results depend on the process, the data, and how the solution is adopted, so these are capabilities to evaluate rather than promises of a specific outcome.
Use AI to assist with repetitive tasks where business processes are appropriate.
Automate or streamline routine activities that are suitable for AI.
Enhance customer service with AI chatbots that deliver quick answers and reliable assistance.
Simplify workflows with AI solutions that save time, reduce costs, and boost productivity.
Help users retrieve relevant information from approved business documents and knowledge bases.
Add AI-powered search, recommendations, assistants, and other intelligent features.
Turn an AI product concept into an application, SaaS platform, or software feature.
Add AI capabilities to existing systems without necessarily replacing the entire technology stack.
A clear sequence from first conversation to a live system, with technical support after it.
1
Discover
We learn your goals, your users, your data, the technology you already run, and the AI functionality you actually need.
2
Plan
We agree the technical approach, architecture, integrations and AI models, plus what is explicitly out of scope, before any build starts.
3
Build
We validate the core idea first, then develop it out and connect it to your systems, data sources and tools.
4
Test
Functionality, performance, security, reliability and usability, plus whether the AI output is accurate enough to act on.
5
Launch
We deploy with the right configuration and access controls, then keep improving the system as your requirements change.
We start with the business problem, not the technology. Then we build the smallest working version first and improve it with your feedback.
Software built around one workflow, rather than adapted from a template.
Apps that write, summarize and answer questions from your own content.
Assistants that handle common questions and pass the harder ones to your team.
Models that learn from your records to predict, score and flag what matters.
Manual multi-step work turned into one flow that runs without you.
AI added to the tools you already use, so nothing has to be rebuilt.
Not sure which one you need? Send us the problem and we will tell you.
Hire AI ExpertsRed Star Technologies is a software development company that has been building products for businesses since 2017. The points below describe how we approach AI development engagements. They are working practices, not promotional claims.
Build AI around your workflows, data, users, and business requirements.
Start with the business problem and requirements rather than technology alone.
Connect AI with websites, applications, SaaS products, CRMs, ERPs, and internal tools.
Design solutions that can accommodate changing users, data, and requirements.
Identify processes where AI can potentially reduce repetitive work and improve efficiency.
Start with a prototype or MVP and expand as requirements become clearer.
Evaluate reliability, performance, AI output quality, and user experience.
Provide continued technical assistance as the AI solution evolves.
Security, reliability, and responsible implementation are considered during AI application development. The practices below are part of how requirements are defined and how systems are built. The specific measures depend on your systems and data sensitivity.
Handle business and customer information using appropriate security practices.
Use appropriate authentication and access controls when connecting systems.
Consider the handling of proprietary and sensitive business information.
Evaluate AI-generated outputs for quality, accuracy, and reliability.
Include human review where AI outputs require additional control.
Monitor system usage, performance, and results.
Identify situations where AI may require human review or additional validation.
Specific compliance obligations and certification requirements vary by jurisdiction and industry. Those are reviewed during discovery against your actual use case rather than assumed.
AI development services involve building or integrating AI-powered software such as custom AI applications, chatbots, RAG systems, automation tools, and AI-powered SaaS products.
We can build AI chatbots and assistants, knowledge systems that answer from your own documents (RAG), workflow automation, document and data processing tools, machine learning models, and AI features inside existing products. The right choice depends on your use case and your data.
Yes. AI capabilities can often be added to existing websites, applications, SaaS products, CRMs, ERPs, and internal tools through APIs and integrations, without replacing the whole system. We review your current setup first to confirm what is practical.
Yes. We can build chatbots and assistants that answer from your approved content, connect to your tools, and hand the conversation to your team when a person is needed.
Yes. We can integrate models and APIs from OpenAI and other providers, and we choose the option that fits your requirements for quality, cost, and how your data is handled.
The cost depends on the scope, the complexity of your data and integrations, and the models involved. After reviewing your requirements, we reply with a written approach and an estimate, with no obligation to proceed.
Yes. We can design and build SaaS products where AI is part of the core experience, including the application, the model layer, and the infrastructure around it.
Yes, where it is appropriate and permitted. We can connect AI to your documents, databases, and internal tools with access controls in place, so answers draw on your approved information.
Send us your idea or the problem you want to solve. We review your requirements, agree on an approach and scope, then build and test a first working version and improve it with your feedback.
Have an AI idea, an existing product that needs AI features, or a business process you want to automate? Talk to Red Star Technologies about your requirements and explore the right AI development approach for your business.
✓ No obligation. If a subscription tool would suit the requirement better, we will say so.
Share what you are trying to build, what you already run, and where the AI would fit. We will review the requirements and come back with a suggested approach and an estimate.
Get your free quote and consultation today
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