Netter
Netter provides data intelligence and AI agents for enterprise operations across healthcare, retail, and industrial sectors. The company deploys forward-deployed engineers who integrate client data and build AI systems directly into daily workflows, creating a unified operational view of performance, priorities, and risks. Its platform includes a digital twin foundation, model-agnostic architecture, and sovereign infrastructure options.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Data & Analytics
- Manufacturing / Industry 4.0
- Software Only
- Healthcare Technology
- Retail Technology
Funding
Raised to date
$500KRaised 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.
Founders
Founder details are not available yet.
Product
Problem
Enterprises struggle to integrate AI systems into their daily operations, often facing fragmented data, disconnected processes, and no unified view of performance, priorities, or risks. This leads to manual work, operational delays, and difficulty keeping AI systems reliable and cost-effective.
Solution
Netter provides data intelligence and AI agents for enterprise operations through a team of forward-deployed engineers. These engineers join client teams to connect their data, build AI systems, and deploy them directly into daily workflows. The result is an "AI operating system" that shows performance, priorities, and risks in one reliable view, reducing manual work and delays. As each new data source and connected process is added, it strengthens the systems already in place, creating compounding value. Netter also tracks usage, costs, and performance to keep AI systems reliable and spending under control. The platform is built on a digital twin foundation that connects fragmented data sources into entity relationships, and supports model-agnostic and storage-agnostic deployment options.
Target Audience
Primary customers are enterprises across three sectors: healthcare care networks and groups, retail networks and consumer brands, and manufacturers and industrial groups. These organizations need AI systems integrated into daily operations and seek a turnkey solution for data intelligence and operational visibility.
Features
- Forward-deployed engineering model that integrates with client teams to build and deploy custom AI systems
- Unified operational view consolidating performance metrics, priorities, and risk indicators
- Digital twin foundation that connects fragmented data sources (ERP, SQL, data warehouse, CRM, WMS, MES, spreadsheets) into entity relationships
- Data source integration that strengthens existing AI systems as new context is added
- Usage, cost, and performance tracking to maintain reliability and control spending
- Model-agnostic architecture allowing model provider switching without rebuilding workflows
- Storage-agnostic deployment options including single-tenant, multi-tenant, bring-your-own-cloud, or on-premise
- SOC 2, ISO 27001, GDPR, and HDS (French health data hosting) compliance certifications
- Sector-specific solutions for healthcare (order-to-cash, care documentation, workforce/purchasing), retail (demand forecasting, market intelligence, inventory allocation), and industrial (supply chain, production planning, predictive maintenance)