AI chatbots and assistants
Customer support and internal assistants grounded in your own documents and data.
AI development services that fit into real workflows
Svastiq builds practical AI that runs inside your products and operations, not as a disconnected demo. We design, integrate and operate chatbots, LLM features, predictive models and computer vision pipelines, connected to your data and measured against business outcomes.
What we build
LLM integrations
Summarization, extraction, classification and generation features added to existing applications.
Predictive analytics
Forecasting and scoring models for demand, churn, maintenance and risk.
Computer vision
Image and video pipelines for inspection, detection and document processing.
Intelligent automation
AI steps inside business workflows that remove repetitive manual work.
Decision-support systems
Dashboards and alerts that turn operational signals into recommended actions.
Where AI helps most
- Support teams handling high volumes of repetitive questions
- Operations teams sitting on data they can't act on quickly
- Products that need smarter search, recommendations or automation
- Fleet, logistics and IoT businesses with streams of sensor data
How Svastiq delivers
- Use-case scoping. We pick the use case with the clearest return and define how success is measured.
- Data readiness. Data sources, quality and privacy requirements reviewed before modelling starts.
- Prototype and evaluate. A working prototype tested against real examples before production investment.
- Production and monitoring. Deployment with monitoring, evaluation and cost controls.
Technologies we use
Frequently asked questions
Can you add AI to our existing software?
Yes. Most of Svastiq's AI work adds chatbots, LLM features or predictive models to products and workflows that already exist, through APIs and integrations.
Will our data stay private?
Data handling is agreed up front. We design for your privacy and compliance requirements, including where data is stored and which models are allowed to process it.
How long does an AI project take?
A scoped prototype usually takes a few weeks. Moving to production depends on integrations, data quality and evaluation requirements.
Do you build custom machine learning models?
Yes, when a use case needs it. For many problems, well-integrated existing models are faster and cheaper, and we recommend whichever fits best.
Related services
Custom Software Development
Enterprise web platforms, SaaS products, internal tools and APIs built around your workflows.
Fleet Management Software
DriveQ: GPS vehicle tracking, driver scores, trips, maintenance, cold chain and a telematics API.
Mobile App Development
Cross-platform Flutter and React Native apps for iOS and Android, with backends and admin panels.
Talk to us about AI Development
Tell us what you're building and we'll come back with a scoped plan, timeline and estimate.