AI that works with your business.
Intro
AI isn't only chat. We ship intelligent layers inside your web app, grounded in your own data, built on the , and designed to fit the brand rather than look like a third-party widget bolted on top. Here are six surfaces we can take on today.
Capabilities
Chatbots
Bespoke chatbots with their own persona and voice, grounded in your catalogue via over . Evín on amka.is is a -powered wine advisor that answers with direct citations to the wines on the list.
View chatbot service →Matching & recommendations
Recommendation and matching engines built on embeddings and vector search, from product recommendations in commerce to candidate-job matching. Vegferð uses to pair Icelandic candidates with roles based on skills and preferences.
Document understanding
Extraction and classification across PDFs, invoices, purchase orders and receipts via vision, turned into structured data your team confirms in one click. For WiiM Home the AI reads supplier invoices, pulls out every line item and total, and matches them to the right products in the catalogue. A person confirms and the AI never writes to the system on its own, so there's no manual re-keying and no transcription errors.
See the example →Data analysis in web apps
Natural-language queries over your dashboards, 'why did sales drop in October?', with inspecting the data, surfacing anomalies and writing a short narrative. Weekly digests by email with no human in the loop.
Content generation & translation
Product descriptions at scale, multilingual storefronts, editorial drafting where prepares and humans approve. Tone and style learned from existing copy so new content matches the voice already in place.
Autonomous agents
Agent systems using tool use and function calling to complete multi-step tasks, booking, integrating APIs, placing orders, tracking status, all observable and under human oversight.
Vision
Web management isn't about pages anymore. It's about service.
AI already drafts, translates, summarises and repurposes content. But the system still owns the responsibility. Content has to appear correctly, sit in the right context and move through a clear process. That's why access control, editorial flow and human judgement still matter.
This calls for new thinking. The admin has to be both flexible and simple for the people working with content every day. Editors should build pages, move content around and work on their own, not wait on the dev team every time. At the same time the tech team needs to connect the system to other tools, simply and securely. Visual content work and a flexible technical foundation in one system, not two.
As integrations multiply and automation grows, security and privacy become a cornerstone, not an afterthought. It has to be clear who has access, who is responsible and how data is protected. That's what builds trust, and without it no digital solution stands.
We don't talk about the possibilities in a vacuum. Our work shows what actually matters once the systems are in daily use: simple operation, flexibility and the ability to grow with the business. That's where AI should help people work better, not just faster. Cut complexity, support professional practice and lay a solid foundation for what comes next.
Stack
- Claude (Anthropic)
- Streaming
- Tool use
- Vector search
- Embeddings
- RAG
- Vision
- Server-rendered UI
See also
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