TomTom vs Weaviate

By valuation, TomTom is the larger company at $740M versus $200M — a 3.7x difference. Size can also be measured by team: TomTom employs 1000+ people while Weaviate has 80 employees.

Weaviate has raised $67.5M in disclosed funding across 3 known rounds. TomTom's funding history is not publicly available.

Weaviate leads with an Awaira Score of 72/100, while TomTom sits at 62/100. That 10-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

TomTom was founded by Harold Goddijn in 1991. Weaviate was founded by Bob van Luijt in 2019. Visit each company's profile on Awaira for a full founder biography.

TomTom: TomTom is a Dutch location technology company that develops AI-powered mapping, navigation, and real-time traffic data products for automotive OEMs, fleet operators, and enterprise location services customers. The Amsterdam-listed company has evolved from consumer GPS devices into a B2B data and software business, supplying digital map data, live traffic intelligence, and navigation APIs to vehicle manufacturers for in-car systems and to enterprise developers building location-aware applications.\n\nPublicly traded on Euronext Amsterdam, TomTom divested its telematics business to focus on its digital map and automotive software divisions, partnering with Microsoft to build a next-generation AI map platform announced in 2023. The company supplies map data that underlies location services from a significant share of global automotive brands and maintains a map coverage network spanning over 185 countries. TomTom HD Maps and its RoadDNA localisation technology are positioned as foundational infrastructure for autonomous vehicle development.\n\nTomTom competes in the mapping data market against HERE Technologies, Google Maps Platform, and Mapbox, with differentiation in the automotive OEM segment where its decades of vehicle integration experience give it established supply chain relationships. The company is navigating a transition period in which traditional navigation revenue is declining as smartphones displace in-car navigation units, while automotive OEM software platforms and AI mapping represent the primary growth vectors. Its Microsoft collaboration for AI-enhanced mapping tools reflects a strategic bet on integrating large language model capabilities into location intelligence products. Weaviate: Weaviate is a Netherlands-based vector database company founded in 2019 that enables organizations to build AI applications using vector search and semantic search capabilities. The platform stores, indexes, and searches unstructured data—including text, images, and audio—by converting them into vector embeddings, making it suitable for large language model applications and retrieval-augmented generation (RAG) systems. The core product is an open-source vector database with both community and enterprise versions. Weaviate allows developers to perform similarity searches and build knowledge graphs with semantic understanding. The platform integrates with machine learning frameworks and supports various embedding models, enabling organizations to power AI applications without extensive machine learning infrastructure expertise. Founded during the emergence of modern AI applications, Weaviate operates in the expanding vector database category competing with Pinecone, Milvus, and Qdrant. The company has raised $68 million across funding rounds with a valuation of $200 million as of its Series B stage. Weaviate serves use cases across e-commerce recommendation systems, content discovery, semantic search, and enterprise search applications. The company has gained adoption among developers and organizations building AI-powered products. Its open-source approach provides both community engagement and enterprise monetization pathways. The vector database market has experienced significant growth as organizations increasingly adopt large language models requiring efficient vector storage and retrieval infrastructure. Weaviate combines open-source accessibility with enterprise vector database capabilities positioned to capture growth in RAG and semantic search application development.

TomTom got there first, launching in 1991 — that's 28 years of extra runway. Weaviate didn't arrive until 2019. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

TomTom has about 1000+ employees; Weaviate has about 80. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both TomTom and Weaviate compete in AI Data, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.