Where does your AI impulse start?
What your Claude, ChatGPT & Gemini can't do.
When generic models hit limits, our products deliver structured, dependable outcomes.
Generic LLMs
- No live data access to the latest developments in the AI cosmos
- Struggle with large context windows and higher hallucination risk
- No deterministic RAG workflow or citation standards for professional outputs
- No template-based vertical video generation for social ads
- No automatic integration of screen sharing and text overlays in UGC videos
WirStartenKI
- Pulls live data on the latest developments in the AI cosmos
- Processes large context volumes with up to 200 PDFs at 50 MB each without hallucinations
- RAG-based with deterministic citations in DIN ISO 690, Chicago 17, and APA 7
- Generates template-based vertical videos for Meta Ads, TikTok & YouTube Shorts
- Integrates screen sharing and text overlays cleanly and automatically into UGC videos
Three solutions for your AI impulse.
Prioritize, plan and produce.
Prioritize opportunities.
Finds and prioritizes the most relevant AI opportunities for your company.
- Industry-specific prioritization
- Concrete levers instead of idea collecting
- Clear next steps for the team
Create a business plan.
Creates dependable business plans based on your data, sources, and standards.
- Up to 200 PDFs at 50 MB each
- Deterministic citations
- Export as a professional document
Produce videos.
Upload a single image, describe in a prompt what your avatar should say, and get a finished vertical UGC video for Meta Ads, TikTok and YouTube Shorts, with the screen share of your SaaS solution or product automatically embedded.
- Vertical templates for Meta Ads, TikTok & YouTube Shorts
- Screen sharing integrated automatically
- Text overlays integrated directly
How we work.
Three steps from idea to result.
Clarity
We define your goal together.
Structure
We establish sources and rules.
Implementation
You get reproducible results.
of all GenAI pilot projects fail without structure.
MIT Technology Review
AI is well on its way to becoming the most transformative technology of the 21st century. Its benefits, however, will not be evenly distributed if we don't steer its development thoughtfully.
In 2025, more than 90 % of the major frontier models came from industry & some of these models now surpass human performance standards on PhD-level scientific questions, in multimodal reasoning and in competitive mathematics.
Enterprise adoption reached 88 % and four out of five students now use generative AI. So, just hype or a topic worth tackling properly?
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