AI in manufacturing is done with PoCs.
It’s time for production.
25 real-life AI & Big Data use cases based on Addepto's 10+ years of hands-on experience.
📅 Feb 12, 4 PM CET: https://t.co/m6mC7y2xjG
We partnered with Meeting Tomorrow, one of the largest event production companies in the U.S., to tackle a quoting process that was manual, expert-driven, and difficult to scale.
You can read more about our approach and the technology behind it here: https://t.co/5xc1wXrhLX
Are LLMs really “high-IQ” systems?
Our in-house Data Scientist at Addepto, Jakub Berezowski, decided to test this from a very practical angle
Read more about Kuba’s experiment on our blog: https://t.co/NSIaooIxZI
How do you automate a high-touch, creativity-driven business without losing what makes it exceptional?
That was the challenge facing Meeting Tomorrow, a leading U.S. event production company.
Read the full case study: https://t.co/5xc1wXrhLX
An excellent end to the year!
Addepto is among the Gazele Biznesu (Business Gazelles) 2025 ranking by Puls Biznesu - a distinction for the most dynamic Polish SMEs.
Addepto officially becomes part of the KMS Technology, Inc.
At our core, we share the same DNA - innovation, curiosity, and a passion for solving real-world challenges with technology.
Learn more: https://t.co/t6kAdazsgU
Most company knowledge is stuck in PDFs, reports & tables. Valuable, but locked away. We’ve open-sourced (for free) part of ContextClue: Graph Builder 🚀 A toolkit to turn semi-structured docs into knowledge graphs. https://t.co/FgWacZDkOX
Feedback & contributions welcome!
At Addepto, our goal is simple: AI solutions that work for your business.
How do we do it?
✅ Understanding your challenges
✅ Building AI solutions tailored to your needs
✅ Maximizing time- and cost-efficiency
Read the full review: https://t.co/k61b4QTVzg
We just wrapped up a side-by-side comparison of ContextCheck with frameworks. Feel free to share your experiences in the comments: https://t.co/0BfajGiSzS
We compared Retriever-Augmented Generation (RAG) with standard LLM evaluations:
1️⃣ Dual vs. Single-Focus: RAG checks retrieval & generation, LLM only evaluates output.
2️⃣ Contextual Grounding: RAG ties answers to real data, LLM relies on training.
Choosing the right data labeling tool is key to successful AI & ML projects. Check out these top platforms for various annotation needs: https://t.co/akkYSk0hV8
Big changes are in the air for aviation! Airlines are embracing service-based models, personalizing experiences, and meeting sustainability goals. ✈️
And, of course, AI is behind the scenes: https://t.co/Vp6rkG76vb
AI Agents vs Agentic AI - What's the Real Deal?
@edwinlisowski has published a thought-provoking article on Medium that’s been creating quite a buzz recently! 💬
Read the full article here, and join the conversation: https://t.co/Poer8PKNm1
Big moment for Addepto! 🚀 We've been recognized in the Top AI Driven Companies 2024 report, landing in the top 50 AI providers and standing out as a leader in the Central and Eastern European (CEE) region. The full report: https://t.co/MpeK0fWgQV
🚀 Big news! We just launched ContextCheck, our first open-source project on GitHub! ContextCheck is a developer-friendly toolkit for testing, evaluating, and validating LLMs, RAG systems, and chatbots.
We recently had the opportunity to work with a marketing agency on an interesting technical challenge. The project involved:
➡️Migrated PDF gen to AWS
➡️Re-architected data ingestion (serverless)
➡️Boosted system efficiency & scalability