Finches
Finches provides a sourcing intelligence platform for agricultural raw materials, helping food manufacturers detect supply risks at the farm level weeks before they impact contracts. The platform combines field observations, weather data, satellite imagery, and local news with a company's own contracts and specifications to deliver evidence-backed alerts with recommended actions. Its agentic AI system understands crop-specific risk factors—a frost in week 12 means something different for spinach than for almonds.
- Data & Analytics
- AI Agents
- Artificial Intelligence
- Logistics & Supply Chain
- Agriculture Technology
- Software Only
- Clean Technology
- Enterprise Software
Funding
Raised to date
€2MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Est. $2.2Macross 1 round
HTUFVV€2M · Pre-Seed
Announced Oct 2026
Disclosed cumulative: $2.2M
Founders
Catharina van Delden
Founder
Product
Problem
Supply chain risk assessments in agriculture often rely on coarse, region-level data, missing real-time signals from individual farms, varieties, and contract terms. This lack of granular insight can delay detection of pests, weather events, or quality issues, leading to unexpected shortages, price volatility, and compliance gaps. Early bottleneck signals are often visible months ahead but remain trapped in disconnected weather data, field reports, lab results, and market data.
Solution
Finches delivers a field-level sourcing intelligence platform that aggregates on-site observations, weather feeds, satellite imagery, local news, crop science, and laboratory results into a unified risk model. Users capture voice notes, photos, videos, and sensor data via mobile or desktop apps, even offline, which are automatically structured into searchable, audit-ready reports. The platform's agentic AI engine correlates these signals with internal contract and sourcing data, generating early warnings and actionable insights. Stakeholders can query the system in natural language and receive instant reports with evidence, enabling proactive sourcing decisions and rapid response to emerging threats. The system reads every signal against the user's crops, varieties, and origins, recommending specific actions with the evidence behind each alert. Finches also supports uploading company documents such as specifications, standards, internal guidelines, and supplier agreements to enrich the context of every answer.
Target Audience
Finches serves agribusinesses, food manufacturers, and large agricultural procurement organizations that need granular, real-time visibility into their farm-level supply networks. It is built for manufacturers in food and beverage, baby food, pharmaceuticals, herbal medicine, and cosmetics whose products depend on agricultural raw materials, with procurement, agronomy, and quality teams as primary users.
Features
- Mobile and desktop app for capturing voice, photo, video, and text observations directly from the field, with offline support
- AI-driven structuring of raw observations into searchable, audit-ready reports and auto-generated risk summaries
- Integration of external data streams (weather, satellite, soil, crop science, local news in local languages, trade rules) with internal sourcing contracts to create a living supply-network model
- Agentic system with agricultural knowledge base that understands crop-specific risks (e.g., frost in week 12 means different things for spinach vs. almonds, warm wet spells at flowering can push mycotoxins in durum wheat)
- Natural-language query interface that returns real-time insights with underlying data one click away
- Early-warning engine that detects emerging risks and triggers automated alerts for procurement and agronomy teams, with every alert carrying its evidence and sources
- Single sign-on (SSO) and cross-platform availability on iOS, Android, and desktop for seamless enterprise deployment