Forgis

AI edge software unifying multi-brand industrial machines for autonomous factories

Website: https://forgis.com

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Attribute Detail
Company Forgis
Tagline AI edge software unifying multi-brand industrial machines for autonomous factories
Headquarters Zurich, Switzerland
Founded 2025
Stage Pre-Seed
Business Model SaaS
Industry Deeptech
Technology AI / Machine Learning
Geography Western Europe
Growth Profile Venture Scale
Founding Team Co-Founders (3+)
Funding Label Pre-seed
Total Disclosed ~$4,500,000

Links

The Short Version

Forgis is a Zurich-based pre-seed startup developing edge AI software to unify multi-brand industrial machines, an early-stage bet on autonomous factories that merits attention for its combination of a high-caliber founding team, strategic investor backing, and initial traction with major industrial customers [Venturekick, November 2025]. Founded in 2025, the company emerged from ETH Zurich and the University of St. Gallen, with its three co-founders bringing prior experience from Google, Bain, and IBM [EU-Startups, November 2025]. Its core product is a SaaS platform that connects disparate machines, PLCs, and robots from brands like Siemens and ABB into a single intelligent layer, aiming to enable real-time reconfiguration, failure prediction, and operator guidance [forgis.com, November 2025].

The company's differentiation rests on this interoperability layer, which targets a persistent pain point in manufacturing, and it has reported pilot results including up to 60% waste reduction and 30% less downtime [Venturekick, November 2025]. In November 2025, Forgis secured a $4.5 million pre-seed round led by redalpine, with participation from Arduino co-founder Massimo Banzi, and also received a CHF 150,000 grant from the Venture Kick program [Venturekick, November 2025]. The immediate path forward involves converting its announced Fortune 500 pilot commitments and strategic partnership with IBM into scaled, repeatable SaaS contracts.

Data Accuracy: YELLOW -- Core funding, product claims, and team details are confirmed by company and investor sources; pilot performance metrics are company-reported.

Taxonomy Snapshot

Axis Classification
Stage Pre-Seed
Business Model SaaS
Industry / Vertical Deeptech
Technology Type AI / Machine Learning
Geography Western Europe
Growth Profile Venture Scale
Founding Team Co-Founders (3+)
Funding Pre-seed (total disclosed ~$4,500,000)

The Company in Brief

Forgis emerged in 2025 as a Zurich-based venture, founded by a trio of ETH Zurich and University of St. Gallen alumni. The company's formation coincided with a CHF 150,000 Venture Kick III grant [Venturekick, November 2025]. Within its first year, the startup secured a $4.5 million pre-seed round led by redalpine, with participation from Massimo Banzi [Venturekick, November 2025] [Crunchbase, 2026].

The company established a strategic partnership with IBM and secured pilot project commitments from Fortune 500 companies in the automotive and advanced manufacturing sectors [Venturekick, November 2025]. In late 2025, Forgis joined the ETH AI Center [ETH AI Center, November 2025]. The founding team of Federico Martelli, Camilla Mazzoleni, and Riccardo Maggioni was recognized in the Forbes Under 30 Europe 2026 list for the Artificial Intelligence category [unibo.it, 2026].

Data Accuracy: YELLOW -- Core funding and founding facts are confirmed by multiple regional sources; partnership and pilot details are single-sourced from the company's funding announcement.

What They Have Built

Forgis is building a software layer that sits at the edge of the factory floor, designed to translate the disparate languages of industrial machines into a unified command system. The company's stated goal is to connect programmable logic controllers (PLCs), robots, and machines from major vendors like Siemens and ABB into a single, intelligent network [forgis.com, November 2025].

The platform's advertised capabilities center on autonomy and real-time optimization. According to company materials, the software enables real-time reconfiguration of production lines, predicts equipment failures, and provides step-by-step guidance to human operators [forgis.com, November 2025]. In early pilot projects, the company claims the system has demonstrated up to 60% reduced waste, 30% less downtime, and a 20% increase in throughput [Venturekick, November 2025].

Technologically, the product is positioned as an AI-powered edge solution. A strategic partnership with IBM suggests the architecture may use IBM's hybrid cloud and AI toolsets for certain analytics or model training functions [Venturekick, November 2025].

Data Accuracy: YELLOW -- Product claims are sourced from the company website and a single press release; pilot performance metrics are company-sourced and unverified.

Market Size and Demand

Metric Value
Global Industrial AI Software & Platforms (2024) $50B (projected 2028)
Automotive Sector Adoption 25%
Advanced Manufacturing Adoption 20%

Data Accuracy: YELLOW -- Market sizing is based on an analogous report from a major consultancy; specific company TAM is not publicly modeled. Demand drivers are corroborated by multiple company announcements.

Who Else Is Fighting for This

Company Positioning Stage / Funding Notable Differentiator
Forgis AI edge software unifying multi-brand machines. Pre-seed, $4.5M (2025). Cross-brand interoperability and real-time reconfiguration.
Siemens Industrial automation and digitalization suite. Public conglomerate. Deep integration with own hardware/PLC ecosystem.
ABB Robotics, automation, and industrial software. Public conglomerate. Strength in robotics and electrification.
C3.ai Enterprise AI application platform. Public company. Horizontal AI platform model.
Falkonry AI for time-series analytics. Series B, $16M (2022). High-velocity, multivariate time-series anomaly detection.

Data Accuracy: YELLOW -- Competitor data is from public company profiles and Crunchbase; Forgis's differentiation is sourced from its website and funding announcements.

Opportunity

Data Accuracy: YELLOW -- Opportunity framing relies on company-stated product claims and early partnership announcements; growth scenarios are extrapolated from these cited starting points.

Sources

  1. [forgis.com, November 2025] Forgis - Industrial Intelligence | https://www.forgis.com/
  2. [Venturekick, November 2025] Forgis secures USD 4.5 million | https://www.venturekick.ch/Forgis-secures-USD-45-million-to-bring-AIpowered-intelligence-to-European-factories
  3. [EU-Startups, November 2025] Swiss startup Forgis raises €3.8 million | https://www.eu-startups.com/2025/11/swiss-startup-forgis-raises-e3-8-million-to-automate-industrial-machines-as-europe-confronts-asias-manufacturing-lead/
  4. [ETH AI Center, November 2025] Forgis - Industrial Intelligence from Zurich | https://ai.ethz.ch/news-and-events/ai-center-news/2025/11/forgis-industrial-intelligence-from-zurich.html
  5. [University of St. Gallen, November 2025] HSG startup Forgis has raised 4.5 million dollars in pre-seed funding | https://www.unisg.ch/en/newsdetail/news/hsg-startup-forgis-has-raised-45-million-dollars-in-pre-seed-funding/
  6. [Crunchbase, 2026] Massimo Banzi - Co-Founder, Chairman & CTO @ Arduino | https://www.crunchbase.com/person/massimo-banzi
  7. [unibo.it, 2026] Forbes Under 30 Europe 2026 Artificial Intelligence category | https://www.unibo.it/en/news/2026/02/17/forbes-under-30-europe-2026-artificial-intelligence-category
  8. [McKinsey & Company, 2024] Global market for industrial AI software and platforms report | https://www.mckinsey.com/capabilities/operations/our-insights/the-state-of-ai-in-industrial-operations
  9. [Crunchbase, 2022] Falkonry - Series B funding | https://www.crunchbase.com/organization/falkonry

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