Multi-source retrieval and Search Fusion
We retrieve across web engines and public communities, then normalize, deduplicate, and rerank the evidence instead of treating one index as the complete answer.
Our story
Making the live web usable as one retrieval layer.
Useful evidence is scattered across search engines, pages, and public communities. We are building one API to discover it, retrieve it, reconcile it, and prepare it for AI.
Free credits included. No credit card required.
Why we started
One index is not the whole web.
Developers should be able to retrieve useful public evidence without assembling separate search, community, scraping, and reranking systems.
“Give your AI the useful public evidence, whichever source holds it.”
Every engine has different coverage, rankings, regional strengths, and blind spots. Public conversations hold another layer of practical knowledge that traditional result pages can miss.
Finding URLs is only the first step. AI applications still need the pages fetched, cleaned, deduplicated, ranked for the request, and shaped into usable evidence.
How we're doing it
Discovery and evidence preparation, built together.
The retrieval layer is one system—from source fan-out to model-ready output.
Resilient extraction and delivery
We connect discovery to layered page extraction so applications can move from a query to clean, model-ready content through one API.
The team
A small team focused on a large information problem.
We combine search research, distributed systems, and product experience.
Oliver Harris
CEO & Co-Founder
Previously led AI innovation at DeepSearch UK
PhD in Artificial Intelligence from University of Cambridge
Ethan Turner
CTO & Co-Founder
Built scalable search infrastructure at WebCore Ltd
MSc in Computer Science, University of Oxford
James Bennett
Lead Engineer
Engineered large-scale data processing at SearchStream
BEng in Software Engineering from Imperial College London
Sophie Campbell
Head of Product
Led product strategy at API Solutions Ltd
MBA from London Business School, BSc in Information Systems
Work with us
We're looking for engineers and researchers who want to tackle hard problems across distributed systems, LLMs, and search infrastructure.
See open positionsOur journey
Built in deliberate steps.
Each milestone has moved us closer to one coherent retrieval layer for the live web.
- 2021
The journey begins
Started building WebSearchAPI.ai to make live public information easier for developers to retrieve and use.
- 2022
Early breakthrough
Connected search and content extraction so applications could move beyond links and snippets.
- 2023
Beta launch
Released our API to early adopters, gathering feedback and continuously improving our models and infrastructure.
- 2024
Full platform release
Launched the platform, developer tools, and interactive playground for testing retrieval workflows.
Our direction
What we're building toward.
“Make the live web programmable as one coherent, evidence-rich retrieval layer for AI.”
Give your AI a wider view of the live web.
Search multiple engines and public communities, fetch the evidence, and return one ranked, model-ready result set.