Specialized Services for the Energy Sector

We specialize in two critical areas of the energy sector: the quantitative analysis of BESS (Pre-Investment) decisions and the independent validation of AI systems.

BESS Pre-Investment Support: Quantitative Analysis

Investments in Battery Energy Storage Systems (BESS) are capital-intensive and critically dependent on complex, changing regulatory frameworks. Proposals from market operators are often intransparent and difficult to compare as a “black box”. We offer an independent, quantitative benchmarking service based on tested, transparent optimization models.

Our analysis includes:

• Business Case Validation: Review of your revenue models, currently with a full focus on intraday arbitrage. (Modeling of ancillary services (revenue stacking) is planned for development.)
• Grid Fee Analysis: Detailed analysis of economic viability under current and future grid fee regulations (OPEX/CAPEX perspective).
• Regulatory Scenario Analysis: Evaluation of your investment along the current regulatory pathways — in particular the FID cutoff for §118 grandfathering (BNetzA’s AgNes determination).

Result: A well-founded decision basis you can take to a bank. Site control and grid connection sit with the project, not the model. (Ongoing analyses and one-pagers can be found at bess.appstam.com.)

Argus AI Testing: Independent Validation for Energy AI

Software providers in the energy sector are increasingly integrating AI models (LLMs) into their products. This creates new risks related to quality, vendor lock-in, and strict European data protection (GDPR).

Argus AI Testing is a specialized validation service for AI bots in the energy sector.

USP: “Bring Your Own LLM” (BYOLLM)

• Platform-Independent: We test your AI applications regardless of whether they run on OpenAI, Anthropic, Llama, or a proprietary model.
• GDPR-Compliant: By testing in your own secure environment (or on-premises), compliance with EU data protection is ensured, as no sensitive data is sent to external US providers.
• Quality Assurance: We validate the reliability and accuracy of your AI responses to complex energy market queries.

Goal: Build trust in your AI products and minimize compliance risks.

Founded on Research

Our approaches are based on academic research, as documented in our publications.