AI software development powered by real-world experience
AI technologies we build with
Our AI software development leverages proven technologies that handle language comprehension, code generation, data analysis, and intelligent automation. Here’s what powers the custom AI solutions we create:
Large Language Models (LLMs)
LLMs understand and generate human-like text and code. In AI application development, models like OpenAI’s GPT interpret natural language prompts, generate code snippets, and automate complex programming tasks.
What this delivers
Faster code generation with consistent quality
Automated documentation and debugging assistance
Enhanced developer productivity across projects
Real example: We built Owtoo, an AI assistant that gives clients 24/7 access to project updates without waiting for project managers. Owtoo supports project teams by helping update tasks, managing schedules, and keeping projects on track. It retrieves information from documents, emails, project boards, and meeting transcripts. Owtoo analyzes uploaded files, monitors client satisfaction, and integrates with project management systems to retrieve and manage tasks, issues, and deadlines.
Owtoo is powered by LLM technology enhanced with Retrieval-Augmented Generation (RAG) for accurate, real-time responses. It performs code review, detects logical errors and security vulnerabilities, identifies performance issues, and generates code based on user prompts—designed specifically for complex technical environments.
Embedding models
Embedding models transform text, code, and documents into numerical vectors that machine learning models can process. This technology represents code snippets, project documentation, and meeting transcripts in ways that highlight relationships and similarities.
What this delivers
Improved search and recommendation systems within projects
Faster discovery of relevant code and related tasks
More efficient collaboration and knowledge management
Code models
Code models are specialized AI trained on programming languages, offering auto-completion, code generation, and debugging assistance for AI software development projects.
What this delivers
Automated repetitive coding tasks
Accelerated writing of boilerplate code
Improved code quality through intelligent suggestions
Reduced time on routine tasks
Vector databases
Vector databases store and retrieve vectorized data like embeddings created by AI models. In machine learning solutions, vector databases store code snippets, task descriptions, and project-related data for quick retrieval.
What this delivers
Faster similarity searches within large datasets
Improved code reuse and component tracking
Streamlined project management
Reduced time searching for solutions
Vectorization
Vectorization converts complex data like text, code, and documents into numerical vectors for AI processing. This allows large codebases, meeting notes, and project documentation to be translated into formats that enable pattern recognition and similarity detection.
What this delivers
Enhanced search, categorization, and pattern recognition
Easier identification of recurring issues and related tasks
Faster problem-solving and decision-making
Detection of code vulnerabilities
What AI software development delivers for businesses
When combined strategically, these AI technologies automate operations, personalize customer experiences, boost productivity, and deliver deeper insights from your data.
For businesses, integrating custom AI solutions leads to:
- Reduced operational costs through automation
- Improved decision-making based on data analysis
- More competitive digital strategies
- Scalable systems that grow with your business
How we approach AI application development
We start with your business problem, not the technology. Our AI software development process focuses on practical solutions that deliver ROI:
Discovery and opportunity identification
We identify high-impact opportunities where artificial intelligence solutions can solve real problems or create measurable advantages.
Proof-of-concept development
We build prototypes that validate technical feasibility and business value before committing to full development.
Production deployment
We deliver production-ready AI applications that integrate with your existing systems and scale as your needs evolve.
Knowledge transfer
We document our machine learning solutions thoroughly and train your team to understand how systems work, when to intervene, and how to improve them over time.
Ready to explore AI for your business?
We’ve built AI applications for ourselves. We use them every day. We know what works because we’ve experienced both the challenges and the benefits firsthand.
Whether you want to automate workflows, build intelligent features into your products, or explore how AI can transform specific business processes—let’s discuss what’s actually possible for your business.
Got a problem? Let’s brainstorm if AI can solve it.
Commonly asked questions
How do I know if my business problem actually needs AI, or if it's just hype?
AI makes sense when you have repetitive high-volume tasks consuming team time, large amounts of unstructured data that could drive decisions but isn’t being analyzed, or customer interactions that could be automated without losing quality. We start with your business problem, build proof-of-concept prototypes to validate technical feasibility and ROI, then deploy production systems only if they deliver measurable value. If AI isn’t the right solution, we’ll tell you upfront.
What's Owtoo, and why does it matter that you built it for yourselves?
Owtoo is our internal AI assistant that gives clients 24/7 access to project updates, helps teams manage tasks and schedules, performs code review, and analyzes uploaded files—all powered by LLMs and RAG technology. It matters because we’re not selling theoretical AI capabilities—we use these systems ourselves daily. We’ve experienced the implementation challenges, maintenance requirements, and real-world benefits firsthand, which informs how we build AI solutions for clients.
What technologies do you use to build custom AI solutions?
We build with large language models (OpenAI GPT and similar), embedding models for vectorizing text and code, specialized code models for programming assistance, vector databases for storing and retrieving embeddings, and RAG architectures for grounding AI responses in your actual data. The specific technology stack depends on your use case—we recommend what fits your requirements, not what we happen to prefer.
Book a consultation to explore how AI and 1902 Software can transform your next ecommerce project — faster, smarter, and more cost-efficiently.