German startup offers AI platform to accelerate battery storage engineering

German engineering startup Morreon GmbH is developing an AI-based operating system designed to accelerate the planning and execution of complex energy infrastructure projects. The platform, called Anchor, combines document processing, engineering design, cost management, tendering, and project scheduling in a single environment.

The company targets battery energy storage systems (BESS), substations, electric truck charging infrastructure, and data centers, where fragmented documentation, repeated design changes, and coordination between engineering disciplines can significantly extend development timelines.

From unstructured documents to engineering data

The first stage of the platform focuses on converting unstructured project information into a standardized engineering brief. Anchor processes inputs including PDFs, CAD files, spreadsheets, emails, site documentation, and meeting transcripts. The system classifies information according to its reliability and scope before organizing it within a version-controlled data structure tailored to the relevant infrastructure asset.

“Every extracted value carries full traceability, complete with a confidence level and a direct citation back to the source passage,” said Morreon CEO and founder Alex Zwilling told pv magazine, noting that, rather than automatically resolving conflicting inputs, the system flags contradictions for human review. Missing information is converted into prioritized questions assigned to the relevant engineering disciplines.

“To ensure absolute engineering integrity, the system never silently overwrites data; instead, contradictions trigger intelligent proposals for human review, and knowledge gaps transform into prioritized, discipline-tagged questions,” Zwilling explained, adding that engineers must explicitly approve assumptions before they become part of the verified project dataset. According to the company, this creates a consistent information base that can be reused throughout subsequent planning stages.

Automated layouts and design alternatives

Once the engineering brief has been established, Anchor supports the development and comparison of alternative infrastructure layouts. The software maps project information onto dimensionally accurate site plans, allowing engineers to position equipment such as battery containers, transformers, and power conversion systems according to their actual physical dimensions.

“Instead of managing static, disconnected blueprints, architects and engineers can dynamically reposition equipment on the plan, watching power pathways automatically re-route in real time from the grid connection through transformers and power conversion units,” Zwilling said.

Cable lengths and equipment positions are tracked as numerical quantities rather than merely represented as drawing elements. The platform can also generate initial layout arrangements, giving engineers a starting point for evaluating equipment placement and spatial constraints. “This allows teams to compare multiple configurations within seconds, permanently anchoring positions in metric data as baseline documents evolve,” Zwilling added.

Linking design decisions to project costs

Morreon is also working to establish a closer connection between engineering layouts and project budgets. Instead of treating infrastructure components as static elements in drawings, Anchor represents battery blocks, transformers, and cable runs as structured quantities. Changes to a layout therefore update measurable parameters, including cable lengths, equipment requirements, and spatial footprints.

For cost calculations, Morreon uses pricing information from actual supplier quotations and itemized tenders rather than generic benchmark databases. Currently, engineers can assess design modifications against supplier bids, supported by an impact-mapping function that identifies which documents and cost items require updating. A fully automated link between design quantities and tender prices remains under development.

“Morreon’s roadmap directly links those granular tender prices to the design dataset’s quantities,” said Zwilling, highlighting that the planned functionality would allow developers to assess the financial implications of adding equipment or modifying infrastructure layouts during early-stage planning.

From engineering to procurement and construction

The platform also integrates tender preparation, bid evaluation, and project scheduling. Using the verified engineering dataset, Anchor can assemble requests for quotations (RFQs), including technical specifications, procurement scopes, and supplier information. Supplier quotations submitted as PDFs are extracted and organized into structured comparison tables, allowing project teams to evaluate competing bids without manually transferring individual line items into spreadsheets.

“From this single source of truth, the system assembles formal RFQs, incorporating technical specs, scopes, and target suppliers, while automatically ingesting supplier offer PDFs directly into a structured bid comparison matrix,” Zwilling explained.

The same project data supports scheduling and can be exported to tools such as Microsoft Excel and MS Project. Confidentiality controls are designed to prevent commercially sensitive supplier information from crossing unauthorized boundaries. The integrated workflow currently covers the pre-construction process, from initial project intake and engineering through tendering, contract award, and scheduling.

Morreon plans to extend the data flow into purchase orders, delivery tracking, construction supervision, and commissioning. “The ultimate goal is a continuous, error-free thread from initial design through commissioning, ensuring what is planned, ordered, and built always align seamlessly without a single re-typed spreadsheet,” Zwilling said.

Engineers retain final responsibility

Despite the increased level of automation, Morreon emphasizes that professional engineers remain responsible for critical technical and regulatory decisions. Extracted engineering values must be reviewed, assumptions require explicit approval, and unresolved questions cannot be automatically filled with generated information. Tender actions and final project deliverables are also subject to human authorization.

“At Morreon, artificial intelligence acts as a powerful catalyst and draft generator, but the final professional authority and accountability remain strictly in human hands,” Zwilling said.

The company distinguishes between tasks according to the potential consequences of errors. Lower-risk administrative processes can be automated more extensively, while structural design, architectural layouts, and other safety-critical decisions remain subject to stricter human supervision.

Morreon is also building a knowledge base from historical project decisions, enabling the platform to identify recurring configurations and highlight situations requiring additional engineering attention. Source-level traceability, version control, and data storage within EU jurisdictions form part of its approach to compliance. The company is also bauvorlageberechtigt in Germany, meaning it is authorized to submit building permit applications directly.