SaaS Product Development
Multi-tenant SaaS platforms with subscriptions, role management, analytics and cloud infrastructure — from MVP to a product ready to scale.
Service
AI Solutions
Practical AI that saves time and improves decisions — intelligent assistants, document processing, RAG search over your data and AI-driven automation.
Overview
AI delivers value when it is applied to a specific business problem with the right data and guardrails. We help you identify those opportunities and build AI features that are reliable, secure and measurable.
From assistants that answer questions using your own documents to automations that read, classify and route information, we integrate AI into your existing systems and workflows.
What We Build
- AI assistantschat interfaces that answer using your knowledge base
- Retrieval-augmented generation (RAG)accurate answers grounded in your documents
- Document processingextract data from invoices, forms and contracts
- Workflow automationclassify, summarise and route requests automatically
- Predictive modelsforecasting, scoring and anomaly detection
- AI integrationsadd AI capabilities into your existing software
Key Features
Grounded responses
answers reference your approved sources
Access control
AI respects user permissions on underlying data
Human-in-the-loop
review and approval steps for sensitive actions
Model flexibility
choose the most suitable LLM provider for each task
Evaluation and monitoring
track accuracy, cost and usage
Data privacy
careful handling of sensitive information
Business Benefits
- Time savingsautomate repetitive reading, writing and sorting tasks
- Faster answersstaff and customers find information instantly
- Consistencystandardised responses and processing
- Better decisionspredictions and insights from your data
Use Cases
- Internal knowledge assistant
- Customer support assistant
- Invoice and document data extraction
- Lead scoring
- Content summarisation
- Ticket classification and routing
Technologies
PostgreSQL
PyTorch
LangChain
LA
LLM APIs
Python
RA
RAG
AA
AI Automation
Machine Learning
We choose technology based on the project requirements.
Development Process
01Discover
We study your business, users and current workflows, then define goals, scope and success criteria together.
02Architect
We plan the system architecture, data model, integrations and technology stack, and design the user experience.
03Build
Development happens in short milestones with regular demos, so you see working software early and often.
04Test
Functional, security and performance testing across devices and real-world scenarios before anything goes live.
05Deploy
We set up hosting, CI/CD, monitoring and backups, then launch on secure, production-ready infrastructure.
06Support
Post-launch maintenance, updates, improvements and new features as your business and users grow.
Industries Served
Frequently Asked Questions
Is our data safe when using AI?
We design AI solutions with data privacy in mind — controlling what data is sent to models, respecting access permissions and choosing providers and deployment options that meet your requirements.
Can AI answer questions from our own documents?
Yes. Using retrieval-augmented generation (RAG), the assistant searches your approved documents and generates answers grounded in that content.
Where should we start with AI?
Start with a focused, high-volume task such as answering repetitive questions or extracting data from documents. We help identify and validate such use cases before scaling.
Explore more
Related Services
Cloud Solutions
Cloud architecture, migration and management on AWS, Azure and Google Cloud — designed for reliability, security and sensible cost.
CRM Development
Custom CRM platforms to capture leads, manage pipelines, automate follow-ups and give sales and service teams a complete view of every customer.
Discuss your ai solutions project
Your enquiry will be routed to the right team. We usually respond within one working day.