Searchplex

Searchplex is a specialist search and retrieval engineering firm founded in the Netherlands and organized as a distributed team of senior practitioners. Rather than operating as a general software consultancy or a staffing platform, the company concentrates on the retrieval architecture underneath high-stakes search, recommendation, and RAG systems, where precision, scale, and reliability are treated as non-negotiable requirements. Its stated purpose is to address the retrieval layer at its root: legacy keyword stacks stretched beyond their limits, vector search bolted on as an afterthought, RAG layered on top without sufficient grounding, control, or evaluation, and agentic systems built on foundations that cannot support production workloads. The firm positions itself as "The Retrieval Foundation for Production AI," designing and modernizing retrieval for AI search, RAG, and agents so that teams can deliver reliable answers and discovery at costs that scale. It serves both teams building new AI infrastructure and teams migrating legacy search. Its engagement model is structured around entry points: a diagnostic for teams whose search quality is inconsistent but whose root cause is unclear, a Search Stack Audit, relevance engineering engagements, and a focused Vespa proof-of-concept. The diagnostic identifies whether the constraint comes from data modeling, retrieval architecture, ranking logic, or infrastructure, and then either improves the current stack or recommends a different path. Searchplex's technical focus spans the full retrieval stack: indexing, ranking, relevance tuning, data modeling, infrastructure, and AI-native retrieval. Its relevance engineering service traces eligibility, ordering, and production validity across four connected parts of a system, covering content representation and query understanding, and it intervenes where results are actually controlled rather than only adjusting scores. The company's Vespa POC engagement validates a specific retrieval question on a client's own data before a larger build or migration, covering hybrid search, ranking behavior, RAG retrieval, and real-time updates, and it applies both to migrations from Elasticsearch, OpenSearch, Solr, or vector-database-plus-search-engine combinations, and to greenfield AI search or RAG designs. Searchplex is a Vespa.ai Official Partner. Its client and partner roster includes LexisNexis, Primer AI, Binance, Splore AI, Curated AI, IPRally, Achmea Impact Ventures, and gem.app. Client testimonials describe a thorough Vespa audit addressing performance, scalability, and cost optimization, and a hybrid multilingual search solution that improved document retrieval speed and precision for legal tech needs. The company holds a 5.0 rating on Clutch. Its team's background covers legal technology, publishing, enterprise platforms, research, and e-commerce.

Searchplex was founded in the Netherlands and built as a distributed team of senior practitioners rather than a conventional office-based consultancy. Its founders and team members came together from backgrounds spanning legal technology, publishing, enterprise platforms, research, and e-commerce, with experience designing, building, tuning, and scaling production search systems across the full retrieval stack: indexing, ranking, relevance tuning, data modeling, infrastructure, and AI-native retrieval. The company's origin is described in terms of a recurring pattern its team observed across industries: capable teams working hard inside systems that were never designed for today's retrieval problems. Legacy keyword stacks were being stretched beyond their limits, vector search was added as a bolt-on, RAG was layered on top without enough grounding, control, or evaluation, and agentic systems were built on foundations that could not support them in production. The predictable result was relevance plateaus, rising costs, and systems that became harder to reason about as they grew. Searchplex was created to address that constraint at its root, the retrieval layer, by redesigning the underlying architecture so teams could move past incremental fixes. From that starting point, Searchplex defined a deliberately narrow scope. It is not a general software consultancy and not a staffing platform; it works on the retrieval architecture underneath high-stakes search, recommendation, and RAG systems. Its engagement model was structured around entry points that match how teams actually arrive: a diagnostic for teams whose search quality is inconsistent but whose cause is unclear, a Search Stack Audit, relevance engineering engagements for systems that already work but have plateaued, and a focused Vespa proof-of-concept for teams that need to validate a specific retrieval approach before committing to a larger build or migration. A significant development in the company's history is its status as a Vespa.ai Official Partner. This partnership is reflected in its service line, including the Vespa POC, and in public commentary from Vespa.ai leadership. Jon Bratseth, CEO of Vespa.ai, stated: "Excited about this partnership. Many of the customers we speak to are held back by not having the development capacity in-house to build the solutions they want on Vespa. Searchplex can help with that." The partnership positions Searchplex as a specialist that can help customers adopt Vespa for AI search and RAG workloads. Searchplex has built a client and partner roster that includes LexisNexis, Primer AI, Binance, Splore AI, Curated AI, IPRally, Achmea Impact Ventures, and gem.app. Client testimonials describe the outcomes of its work. Antti Tarvainen, CTO of IPRally, said: "The Vespa audit was thorough, clearly structured, and addressed exactly what we needed—performance, scalability, and cost optimization. Their depth of search expertise and clear communication stood out throughout the engagement." Luca Campanella, CTO of CuratedAI, said: "Searchplex delivered a hybrid, multilingual search solution that elevated our document retrieval system, resulting in faster & more precise searches across multiple languages. This capability was crucial for our legal tech needs." The company holds a 5.0 rating on Clutch. As of the available evidence, Searchplex continues to operate as a private, specialist retrieval engineering firm, serving teams building new AI infrastructure and teams migrating legacy search, with a focus on reliable answers and discovery at costs that scale.

• Searchplex is founded in the Netherlands as a distributed specialist search and retrieval engineering firm.

• Searchplex becomes a Vespa.ai Official Partner, reflected in its Vespa POC service line and public commentary from Vespa.ai CEO Jon Bratseth.

• Searchplex builds a client and partner roster including LexisNexis, Primer AI, Binance, Splore AI, Curated AI, IPRally, Achmea Impact Ventures, and gem.app.

• Searchplex holds a 5.0 rating on Clutch based on client reviews.

Specialist AI search and retrieval engineering for production systems where relevance, scale, and reliability matter; positioned as "The Retrieval Foundation for Production AI."

• Search Stack Audit

  An audit engagement that examines performance, scalability, and cost optimization of a search stack.

• Retrieval diagnostic

  A diagnostic entry point that identifies whether a search quality constraint comes from data modeling, retrieval architecture, ranking logic, or infrastructure.

• Relevance Engineering

  An engagement that diagnoses where relevance breaks, improves retrieval and ranking, and measures what changed, without assuming a migration or rebuild.

• Vespa POC

  A focused proof-of-concept engagement that validates a specific retrieval approach on a client's data before a larger build or migration, covering hybrid search, ranking behavior, RAG retrieval, and real-time updates.

1. 1Searchplex | AI-Native Retrieval Engineeringsearchplex.net
2. 2Searchplex | About Searchplexsearchplex.net
3. 3Searchplex | Vespa POCsearchplex.net
4. 4Searchplex | Search Relevance Engineering Servicessearchplex.net
5. 5Wikidatawikidata.org