Knowledge assistants (RAG)
Assistants that answer questions from your documents, help centre or database, with sources shown.
LLM integrations, knowledge assistants, chatbots and automation, connected to your data with security and evaluation built in.
Large language models can answer questions, draft documents and automate repetitive work, but only when they are connected to the right data and designed with clear limits. A demo that impresses in a meeting is very different from a system customers can rely on.
We build AI features that solve specific business problems, starting with the simplest approach that works. Projects include an evaluation set so quality is measured rather than guessed, and safeguards for data access and against prompt injection.
Assistants that answer questions from your documents, help centre or database, with sources shown.
Support and sales assistants for your website or messaging channels, with handover to a person.
Extract data from documents, classify requests and draft responses inside your existing tools.
Summaries, search, recommendations and writing assistance built into your web or mobile app.
Test sets and metrics that show whether a prompt, model or retrieval change actually improved results.
Adapting models for consistent formats or high-volume tasks when prompting alone is not enough.
A defined scope, timeline and price. Best for MVPs and projects with clear, stable requirements.
A monthly block of development time for products that keep evolving, with priorities agreed at the start of every two-week iteration.
Maintenance, updates and steady improvements after launch, with agreed response times.
Building software in Jaffna for clients across Sri Lanka and worldwide. Don't see your question? Ask us directly →
Retrieval-augmented generation or fine-tuning? Learn what each solves, when to use them together, how to evaluate results, and the security risks to plan for.
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