AI Integrations
Intelligent systems that add real value. From LLM-powered features to computer vision pipelines — we integrate AI where it actually matters.
Our approach
What we build
A model call is easy. The hard part is everything around it: grounding answers in your data, handling the cases where the model is wrong, keeping latency tolerable, and controlling what it costs per user. We build the parts that make an AI feature safe to put in front of customers.
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01.
LLM-powered features
Assistants, summarisation, extraction, and classification wired into your existing product and your existing data.
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02.
Retrieval over your own data
Document ingestion, chunking, embeddings, and retrieval so answers cite your content instead of improvising.
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03.
Document processing
Parsing, extraction, and review workflows for contracts, invoices, and forms — with a human approval step where it matters.
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04.
Computer vision pipelines
Detection and classification pipelines, from capture through to the queue that processes them.
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05.
Evaluation and guardrails
Test sets, regression checks, fallbacks, and rate limits, so a model change does not quietly break your product.
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06.
Cost and latency control
Caching, model routing, and streaming, so the feature stays affordable at volume.
Deliverables
What you get
- The feature running in your product, not a standalone demo
- An evaluation set you can re-run when models change
- Cost and latency figures measured under realistic load
- Documented fallback behaviour for when the model fails
Selected work
We build this for ourselves too
LawManager is our AI-powered legal practice platform, with document review built into the day-to-day workflow rather than sitting beside it.
Do we need our own model?
Almost never. Most products are better served by a hosted model plus good retrieval over your data. We will tell you if your case is genuinely an exception.
How do you stop it giving wrong answers?
Grounding answers in your own content, an evaluation set that runs on every change, and a designed fallback for low-confidence cases rather than a confident guess.
What does it cost to run?
That depends on volume and model choice. We measure cost per action during the build and design caching and routing around the number.
Services
Other services
SaaS Development
Multi-tenant platforms built for scale. We architect, build, and launch SaaS products with subscription billing, team management, and enterprise-grade infrastructure.
Custom Platforms
Bespoke software for complex workflows. When off-the-shelf doesn't cut it, we build platforms tailored to how your business actually operates.
UI/UX & Product Design
Software your customers understand on first use. Research-driven UX, UI design systems, and clickable prototypes for SaaS products, web apps, and internal tools — designed to be built, not redrawn.
Automation
Work that runs itself. Scheduled jobs, system-to-system integrations, and pipelines that keep going when nobody is watching them.
Maintenance & Support
Long-term ownership after launch. Security updates, monitoring, dependency upgrades, and the steady work that keeps a product worth using.
MVP Development
A first version in weeks, not quarters. Scoped to what proves the idea, built so version two is not a rewrite.
Web Development
Sites that are fast on purpose. Marketing pages, web applications, and a content model your team can edit, with accessibility and speed designed in.
Technical SEO
Search visibility fixed at source. Crawlability, indexing, structured data, and Core Web Vitals engineered into the product, not patched over it.
Software Development
Software designed, built, and run from Prishtina, for clients anywhere. Your repository from the first commit, hours that overlap yours, and a handover planned from the start.