Scalable foundation: End‑to‑end development for fast & reliable market entry.
Back to all
Building an AI-Native Knowledge Platform
In Notch, our client found a partner who could take them from PoC to a production‑ready AI product. Read how we built AI-native knowledge platform using Open AI and LangChain, validating MVP and establishing strong launch position.
INDUSTRY
IT
TECHNOLOGY
OpenAI, LangChain
SERVICES
AI Minimum Viable Product, Agentic AI Systems
METHODOLOGY
Technical Design Thinking
DURATION
2025 - ongoing
LOCATION
Netherlands
The Client
The client is a group of curious enthusiasts building a knowledge platform that turns scattered digital content into structured stashes. They wanted to create a smart digital space for saved links, notes, media, and more, transforming it into an organized project‑planning hub.
The Challenge
Users collect high volumes of links, voice notes, and media, but struggle to retrieve and utilize them later. Manual tagging and organizing are inefficient and time-consuming. “Digital graveyards” prevention is possible with automated extraction of insights from raw data and forming searchable knowledge base.
The Solution
Notch acted as a partner who owns architecture, execution and delivery end‑to‑end, rather than just implementing isolated features. We developed an MVP featuring AI automated content extraction and intelligent summaries, supported by a dedicated cross‑functional team (UX/UI, backend, frontend, mobile, AI, DevOps) committed to continuously evolving their product.
Project Goals
-
1Working Knowledge AppProduce one of the first AI‑native note‑taking apps in their niche, in order to capture what truly matters.
-
2Structured CapturingBridging the content consumption - knowledge management gap by providing a tool for a more mindful and creative content engagement.
-
3Knowledge empowermentBringing forgotten interests back to life by turning bookmarks into actionable insights, easy to resurface & use at the best time.
-
4Technical scalabilityBuilding a solution supported by a scalable AWS/Kubernetes infrastructure, designed for high-speed data processing.
Process
01
Discovery workshop
Aligning goals and core experience refinement ideas with stakeholders.
02
PoC fine-tuning
Clear AI plan for the existing PoC, including AI model selection, token budgeting and evaluation
03
Design
Designing the mobile and web app through user flows, sketches, and wireframes
04
Building the MVP
Building a functional AI‑powered MVP for iOS and web, backed by a scalable infrastructure and a fully implemented AI content pipeline
Technology & Services
Node.js
Postgres
Python
OpenAI
Elastic Kubernetes Service
Elastic Container Registry
AWS
AI Proof of Concept
UX/UI Design
AI Minimum Viable Product
The Product
The AI-native knowledge platform simplifies knowledge management through automated capture and enrichment. Users save links, voice notes, or media, and AI generates structured stashes with intelligent summaries, tags, and context. Insights are organized into collections and proactively resurfaced via personalized, AI-curated newsletters, saving time and keeping ideas actionable.
