DE | EN

Specialized Services for the Energy Sector

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

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 platform 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. (This service will soon be offered as a SaaS platform at argus.appstam.com.)

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 validated 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).
  • Post-2029 Scenario Analysis: Evaluation of your investment under the most probable German regulatory scenarios (e.g., BNetzA A, BDEW S1, S3).

Result: A well-founded, bankable decision basis for your investment. (The underlying models form the basis for our interactive tool at bess.appstam.com (Q1-Q2 2026).)

Founded on Research

Our approaches are not just theory. They are based on academic research, which our publications demonstrate.