krovus.com

What It Is

Krovus is an AI search tool for selecting electronic components, with a very vertical focus: replacing the process of engineers manually digging through large numbers of PDF datasheets. It claims to read manufacturer datasheets, extract specifications hidden inside long documents, and turn that information into a searchable database. Users can describe their requirements in natural language or as structured constraints, and the system returns candidate components ranked by how well they match.

Core Capabilities and Typical Use Cases

Its core workflow consists of Ingest, Query, and Recommend: first reading datasheets and extracting specifications, then mapping user constraints to datasheet-level parameters, and finally producing ranked recommendations. The example shown on the site is microphone filtering: port aperture no larger than 1mm, operating temperature from -20°C to +70°C, humidity of at least 90%, noise tolerance of at least 94dB, and power consumption below 200µA. These kinds of combined constraints are often not fully available in basic distributor filters, and Krovus’s value lies in handling such fine-grained engineering requirements.

Output Quality, Traceability, and Limitations

One important point is that each recommendation links to the relevant datasheet pages, allowing engineers to verify the source. This is also useful for design reviews and compliance audits, and helps reduce the risk of black-box recommendations. However, the site does not disclose the underlying AI model, database coverage, extraction accuracy, supported component categories, or number of manufacturers. For common datasheet issues such as unit conversions, differences in test conditions, footnote restrictions, and parameter dependencies, its real-world handling capability remains unclear.

Pricing, Trial, and Integrations

At present, the website only offers Get Early Access and says it is looking for early users to try the product. Pricing, free quotas, commercial licensing, payment methods, and integrations with APIs, EDA/BOM/PLM tools, or distributor platforms are not disclosed. Chinese-language support, data privacy, and enterprise deployment options are also not mentioned.

Pros, Cons, and Who It’s For

The strengths are its focused use case, clear pain point, and emphasis on traceable recommendations. If it works reliably, it could significantly shorten early-stage hardware component selection and reduce rework caused by missed specifications. The downside is that the product is still early-stage, and the public information is too limited to assess coverage and stability. It is best suited for electronics engineers, hardware startups, and R&D teams that need to quickly screen components against complex specifications.

Access from China

Availability in mainland China, payment support, and service reliability are not explained, so the status is unknown. If it cannot be used reliably, a practical alternative for now is to combine parametric filtering on platforms such as Digi-Key, Mouser, Octopart, and FindChips with manual datasheet verification.