Specialized computer vision
Detection, tracking, OCR, and visual quality control tuned to your footage, your objects, and your edge cases — not a generic benchmark.
custom modelsmulti-camerareal-time
AI engineering studio — built to ship
We build AI systemsai_system · conf 0.98 that make it to production.
Specialized computer vision, AI-powered automations, RAG-enhanced knowledge engines, and AI agents — a small team with big talent, taking your idea from first prototype to the system your business depends on.
- 3
- products of our own, live
- 92%
- detection accuracy in production
- 89%
- grounded-answer accuracy (RAG)
- 2–3×
- faster than a typical build
What we build
One team for the whole system
A model on its own is a demo. We build everything around it — data, pipelines, interface, deployment — so it holds up under real users and real load.
AI-powered automations
Workflows that take repetitive work off your team end to end — document intake, media processing, reporting — with people reviewing only what matters.
document intakeintegrationshuman-in-the-loop
RAG-enhanced knowledge engines
Assistants grounded in your own documents. They cite their sources, admit what they don’t know, and stay current as your content changes.
grounded answerscitationsyour data
AI agents
Multi-step agents that plan, call your tools and APIs, and finish real jobs — with guardrails, audit logs, and human handoff built in.
tool useguardrailsaudit logs
Web-native video tools
Editors and render pipelines that run entirely in the browser on WebCodecs — no uploads, no render farm, no waiting.
WebCodecsin-browserwhite-label
Full-stack AI products
The whole product around the model: interface, backend, billing, deployment. We’ve shipped three of our own, so nothing here is theoretical.
end-to-endproductionmaintained
The stack we ship with
PythonTypeScriptPyTorchOpenCVLangChainReactNext.jsFastAPINode.jsPostgreSQLSupabaseAWS · GCP · AzureDocker
Shipped · products of our own
We run on our own playbook
Three products we built and operate ourselves — for creators, streamers, and hospitality. Your project gets the same engineering.
AI marketing studio — everything stays editable
Vidscape
Paste a website or app-store link and Vidscape turns it into finished campaigns: animated ads, social posts, videos, and digital signage in your brand’s colors, fonts, and voice. The part nobody else does — every generated piece stays fully editable.
- Link in, month of marketing out
- Editable images, video, and motion graphics
- Browser-based editor built on WebCodecs
- White-label ready for agencies and SaaS
Twitch VODs into shorts, automatically
Twitchbutton
An AI growth assistant for streamers. It watches your VODs, finds the moments worth clipping, and cuts them into shorts sized for TikTok, YouTube Shorts, and Reels — ten times the content without opening an editor.
- Best-moment detection tuned for gaming
- Clips formatted per platform
- Runs on every new VOD automatically
QR menus and ordering for hospitality
SmartCafeBar
A complete ordering system for cafés and restaurants. OCR digitizes a printed menu in about a minute; guests browse a multilingual QR menu, order, and track their order live — staff see everything in real time.
- Menu digitized by OCR in ~1 minute
- Multilingual interactive QR menu
- Live order tracking and analytics
How we work
Start small, then scale what works
Four ways to put our team on your problem. Most projects begin with a short sprint and grow from there — the numbers are the usual order, not a contract.
011–3 weeks
Validation sprint
A focused sprint that answers the only question worth asking early: will this actually work? You get a working prototype and an honest feasibility verdict — including “don’t build this” when that’s the answer.
- Working proof-of-concept
- Technical roadmap and cost picture
- Clear go / no-go recommendation
021–4 months to MVP
AI product development
End-to-end build of an AI product — architecture, models, interface, and launch. One team from first commit to first customer, and beyond it if you want us to stay.
- Production architecture, not a demo
- Full stack: model, backend, UI
- Launch support and iteration
03scoped per process
AI process automation
We map a manual process, automate the steps a machine should own, and wire the result into the tools you already use. Success is measured in hours saved, not slides delivered.
- Process analysis before any code
- Custom models where they pay off
- Integration with your existing stack
04flexible, no lock-in
Team extension
Your roadmap, our engineers. Senior AI specialists embedded in your team — your standups, your codebase, your conventions — for exactly as long as you need them.
- Senior engineers, not juniors on rotation
- Knowledge transfer as we go
- Scale up or down monthly
Why Adaptiwe
Built like we build our own
Product mindset, not model worship
Accuracy matters — and so do user flows, integrations, and who maintains this in a year. We design for all of it from day one.
Roots in image and video
Our background is visual computing: in-browser WebCodecs editors on one end, multi-camera computer vision rigs on the other.
Engagements that fit the work
Fixed price when the scope is clear, hourly when it’s still evolving. Long-term partner or clean handover with docs — your call.
Small team, big talent
The people in your meetings are the senior engineers writing your code. No account managers, no buzzword bingo.
Questions
Asked before every project
Anything where a model has to work inside a real product: specialized computer vision, AI-powered automations, RAG-enhanced knowledge engines, AI agents, and image or video processing. If your idea involves visual data or a workflow you want machines to own, we’re likely a good match.
Start a project
Tell us what you're building
A vision system, an automation, a knowledge engine, an agent — or something that doesn't have a name yet. Send a few sentences of context and we'll reply with concrete next steps, not a sales deck.
Reply within 24 hours · remote-first · Serbia, Europe