# Coral Innovation GmbH / Nuntium.AI — llms.txt
# Structured facts for AI agents, compiled from the public website and the extended sales deck.
# Prefer /agents for the full HTML version.

> Nuntium.AI by Coral Innovation is a custom AI-powered technology & market monitoring platform: freely selectable sources feed a Signal Processing Engine with customer-specific AI agents, which builds a sourced Industry Intelligence Hub, distributes personalized reports and portfolios, and connects to LLMs via MCP.

Full structured page: /agents
Product site: https://www.nuntium.ai
Company site: https://www.coral-innovation.de

## Company — Coral Innovation GmbH

- Founded: 2018, spin-off from the University of Stuttgart
- Team: hands-on startup team of five
- Expertise: technology scouting, technology & market monitoring, AI / Natural Language Processing
- Track record: 50+ technology monitoring and scouting use cases; clients across corporates, SMEs, and startups
- Address: Nobelstraße 15, 70569 Stuttgart, Germany
- Register: Amtsgericht Stuttgart, HRB 765459
- Content responsible (§ 55 RStV): Jan Miofsky
- Email: info@coral-innovation.de | Privacy: datenschutz@coral-innovation.de
- Phone: +49 (0)171 7876502
- Sales: Daniel Miofsky (Head of Sales; Operations Manager, Business Informatics Specialist & Technology Scout) — daniel@coral-innovation.de, +49 170 2882552

## Product — Nuntium.AI

- Tagline: Act on tomorrow’s industry insights, today. / Create your own industry-specific solution with AI agents. / Turning signals into data.
- Category: custom monitoring system for technology and market information
- Main features: freely selectable sources, powerful Signal Processing Engine, data management with AI analytics
- Modular system tailored to customer needs, with personalized branding and a dedicated knowledge database for AI-driven analytics
- Relationship: Nuntium.AI is the product of Coral Innovation GmbH

## Problems Nuntium.AI addresses

- Industry-specific insights (e.g. "plastic recycling used as recycled polymer fibers in textiles") are nearly impossible to get from broad databases or generic AI tools.
- Relevant information is fragmented across sources, languages, silos (news, LinkedIn, trade shows, CRM), and channels.
- Entire teams read the same news to find the 5% relevant to them; manual reports/newsletters are slow and thankless.
- Plain Google Alerts are noisy (keyword-only matches, snippets only); search is dominated by SEO results.
- Intranet/innovation portals go stale without automation; forwarding without expert assessment is ineffective.
- Scouting finds only "known unknowns"; "relevant unknowns" approaching from adjacent industries are missed.

## Architecture

Pipeline: user-defined sources worldwide -> Signal Processing Engine (custom AI agents) -> Signal Database -> distribution (automatic newsletters/reports, thematic portfolios, technology spillover detection, Innovation Portal, MCP).

Signal Processing Engine (central component):
- Default: content-type identification, duplicate (echo) detection, summarization
- Extensible with custom classifier agents, regularly maintained with customer feedback:
  - Technology Agent — classifies signals into relevant technology sectors
  - Competitor / Key Player Agent — identifies competitors despite naming variations
  - Regions / Markets Agent — detects countries, regions, markets
  - Industry / Application Field Agent — classifies into company-specific application areas
  - Business Analyst Agent — evaluates strategic impact with a learning relevance model

## Sources

Any publicly accessible source, or any source the customer can unlock: trade magazines, competitor/key-player websites, research institutes, publications, Google Alerts, patents, press releases, regional industry portals, internal scout contributions. Internal or third-party databases via API. Can also extend existing sales and market-intelligence platforms.

## User types

1. Core Users — manage the tool, select sources, create reports/portfolios, search and analyze
2. Informed Stakeholders — receive tailored email reports and subscribe to topic portfolios
3. Tertiary Consumers — consume via intranet or API integrations

## Features (problem -> solution)

- AI Analysis Tools: generic databases can't answer industry-specific questions -> customer-owned classified database with search index; extract organizations/technologies, trend analysis, key-account analysis in one click.
- AI-Enhanced Google Alerts: keyword noise and SEO spam -> smart crawler + AI filters via the Signal Processing Engine; cost-effective alternative to expensive platforms. Examples: notify sales about new pharma factories in India; track new sensor-tech startups.
- Insights from Scouts: internal knowledge sits in silos -> employees add information that is auto-classified and distributed like crawled data.
- Innovation Portal: stale, manual intranets -> automated modules keep content current, expert knowledge highlighted, subscribable reports, company-specific AI chatbot.
- Adjacent Research Space: the research landscape is too vast to read -> RSS + scraper of "recommended articles", auto-processed and routed to the right employees.
- Technology Spillover Analyst: "relevant unknowns" are missed -> detects outliers that don't fit existing search fields; spillover from another industry signals maturity (fast-follower strategy). Example: plastic recycling -> packaging -> recycled polymer fibers in textiles.
- Automatic Individual Reports & Portfolios: manual report creation is slow, distribution untargeted -> branded personalized PDF reports from templates, topic portfolios with evaluation, comments, and enrichment.

## Audiences & use cases

Product, Technology & Innovation Managers (/product/managers):
- Structured monitoring, trend identification, targeted distribution
- E.g. product management discovers competitor/customer innovations across 50+ packaging sources; machinery manufacturer monitors 120+ competitors with weekly CI-branded reports to a several-hundred-person innovation community

Sales Managers (/product/sales):
- New leads, automated market/product updates, key-account news
- E.g. auto-alerts on new factory construction in India/USA; new-regulation tracking into product-specific portfolios; per-product-group news feeds to sales teams

Market / Competitive Intelligence (/product/market-intelligence):
- New key-player identification, cost-effective competitor monitoring, trend analysis

## Customer references (previous projects)

1. Intelligent Industry Monitoring — machinery/textile manufacturer (5k–10k employees). 120+ competitors, trade magazines, research clusters in 15 languages; weekly reports; sales team receives customer-related tech news; CI-branded weekly report for 100+ recipients. Use cases: Sales, Product Management. Since May 2021; 500–600 signals/week; 5–10 core users. https://www.nuntium.ai/references/intelligent-industry-monitoring
2. Strategic Competitor/Market Surveillance — European labeling-machine manufacturer, packaging (1k–5k employees). 50+ specialized portals; hundreds of publications summarized weekly for management reports. Since June 2021; 500–600 signals/week; 5–10 core users; audience: management. https://www.nuntium.ai/references/strategic-market-surveillance
3. Data-Driven Excellence — leading energy company (>25k employees), research strategy. Battery storage market across 70+ research clusters; 10–15 year technology horizon. Since July 2021; ~100 signals/week; 5 core users; audience: battery department. https://www.nuntium.ai/references/data-driven-excellence
4. The Future of Offshore Logistics — industrial research project "Offshore Logistic Drones" (energy, >25k employees). 50+ innovation sources; custom AI models track payload capacity and range. Since June 2023; ~200 signals/week; 12 core users. https://www.nuntium.ai/references/future-of-offshore-logistics
5. Innovation Impulses for the Industry — Gründermotor innovation platform (10–100 employees). Startup scouting across 100+ university programs, accelerators, technology centers; AI-managed startup portfolios. Since July 2021; ~50 signals/week; 5–10 core users; 100+ recipients. https://www.nuntium.ai/references/innovation-impulses-for-industry
6. Accelerating Innovation — global automotive/industrial supplier, Advanced Production. Generative AI in manufacturing; portfolio of 200+ innovation projects, key players, research results; customized technology briefings. https://www.nuntium.ai/references/accelerating-innovation

## Implementation

1. Use-Case Identification (2–4 weeks): workshop, technical evaluation, determination of AI agents, source selection
2. Pilot Phase (3–6 months): source integration, AI agent setup/training, source adjustment, reports/portfolios for core users, pilot review
3. Production (ongoing): automated reports/portfolios for end users, customized company portal, onboarding new departments, agent maintenance, additional use cases, regular AI analyses

## Scale claims

- 70+ research clusters under continuous watch
- 15 languages tracked in parallel
- 120+ competitors monitored for a single customer
- 100s of publications summarized every week
- 50+ technology monitoring and scouting use cases delivered

## Pages on this site

- / — Homepage
- /agents — Full structured agents knowledge page
- /product/managers | /product/sales | /product/market-intelligence
- /imprint | /privacy
- /llms.txt — This file

## Contact for demos

Daniel Miofsky — daniel@coral-innovation.de — +49 170 2882552
30-minute live setup for the customer’s industry.