Custom AI / ML / RL Development for Space

Here is a full description of their Holistic AI Services with direct relevance to the aerospace, defense, and high-tech sectors:

1. Space-Enabled Geospatial AI (BeSpatial.AI)

Developed with backing from the European Space Agency (ESA), this is HolistiCRM’s flagship service for location analytics.

• The Tech: It integrates remote sensing and Earth observation data (such as Sentinel-2 satellite imagery) with automated machine learning and generative AI.

• The Application: BeSpatial.AI evaluates over 100 aggregated variables across 100m² grids to deliver high-precision geotargeting. While highly successful in optimizing digital advertising and commercial retail expansion, the underlying capability to fuse satellite data with machine learning is directly relevant to aerospace companies looking to monetize Earth observation data or create commercial downstream applications.

2. Sovereign & Secure AI Compute Infrastructure (ShAIr.ly)

For aerospace and defense participants, data security and technological sovereignty are critical priorities. HolistiCRM is developing ShAIr.ly, a specialized infrastructure designed for these strict environments.

• The Tech: A sovereign, distributed, and carbon-aware AI computing infrastructure.

• The Application: It enables GDPR-compatible federated learning—meaning AI models can be trained across decentralized servers without transferring sensitive underlying data. It provides auditable, SLA-grade AI services tailored for highly regulated European industries where data privacy and national security are non-negotiable.

3. End-to-End Custom AI Development

Rather than relying on generic, off-the-shelf global LLMs, HolistiCRM builds transparent, domain-specific AI models tailored to a business's unique data.

• Full Lifecycle Support: They handle the entire pipeline—from data integration and business mapping to model training, rigorous evaluation, and MLOps deployment (including API or batch processing).

• Relevance: Aerospace manufacturers and tech firms can leverage this to create secure, localized AI models for internal operational efficiency, predictive maintenance insights, or highly specialized B2B customer analytics.

4. AI-Powered Operational Automation & Superagents

HolistiCRM deploys AI to streamline workflows, reduce operational costs, and maximize resource efficiency.

• Autonomous Superagents: Implementing domain-specific, LLM-powered agents capable of handling complex organizational tasks, from internal HR operations and onboarding to sophisticated customer support, reducing the burden on human teams.

• Capacity Optimization: Their machine learning algorithms have been utilized to significantly optimize call-center and support capacities (saving up to 55% in operational capacity in some sectors), a methodology easily transferable to supply chain or vendor management networks.