RAG pipelines
Grounded in your data, able to cite sources and minimize hallucination.
AI & LLM
AI that works in production, not just a demo
Adding AI to your product isn't dropping in a chatbot box. We build reliable, measurable workflows wired to real data sources.
Typical timeline: 4-10 weeksLangGraphRAGOpenAI APIAI Agents
What we solve
Most AI experiments stall at the demo stage: you ask the model a question, get a nice answer, but the system isn't connected to real data, its mistakes go unnoticed, and its cost is uncontrolled.
We build AI as part of the product: answers grounded in your data, real actions via tool calls, multi-agent routing and traceability at every step.
RAG and data grounding
With Retrieval-Augmented Generation (RAG) pipelines we ground the model in your documents, records and rules. So answers are based on your data, not invented.
We design vector search, chunking strategy and source citation together, making it traceable where the model is speaking from.
Multi-agent workflows
With LangGraph and LangChain we build workflows where multiple agents collaborate: intent understanding, routing, tool calls and handoff to a human when needed.
We used exactly this architecture in the appointment-assistant prototype we built for health tourism: patient intent is understood, routed to the right department and run through the appropriate booking flow.
Key capabilities
Tool calling
The model doesn't just talk; it performs real actions like creating an appointment or running a query within safe bounds.
Multi-agent orchestration
Branching workflows with intent understanding, routing and human handoff steps, built with LangGraph.
Monitoring and cost control
Token usage, latency and confidence are tracked; the system stays auditable and its budget predictable.
Frequently asked questions
Is our data sent to the model, is it safe?
We design the architecture to your needs. For sensitive data we build a setup that sends only the necessary context, with masking and access limits, and evaluate enterprise/private model options where needed.
What happens if the model answers incorrectly?
We ground answers in sources with RAG and build flows that hand off to a human when confidence is low. We also continuously measure the system with evaluation sets and review errors retrospectively.
Can you add this to our existing product?
Yes. We build the AI layer as a service that connects to your existing API and data; no rewrite required.
Other services
Web Platforms & Corporate Sites
Server-rendered web platforms that load in milliseconds — not seconds — with SEO built in from day one.
CRM, Dashboards & Automation
We move operations scattered across spreadsheets and chat groups into one system with live dashboards, roles and automation.
Mobile App Development
One codebase for iOS and Android with React Native, Expo and Flutter — push notifications, offline mode and store release included.
E-Commerce Platforms
Stores that win at the checkout, not just the storefront — payment, inventory, logistics and marketplace integrations.
Let's build your next product together
A single 30-45 minute call is usually enough to clarify scope. By the end we share the architectural approach, an estimated timeline and a budget range.