Annoy VS ComplyCube
Compare Annoy VS ComplyCube and see what are their differences
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ComplyCube offers one of the most advanced and complete platforms in the identity verification and KYC space, helping small, large, and prominent organizations effortlessly meet their AML obligations worldwide.
ComplyCube's mission is to grow trust in the global digital economy by empowering businesses of all sizes to implement slick and resilient verification journeys that increase customer conversions, prevent fraud, and reduce onboarding costs – all without adding unnecessary friction to genuine users.
The all-in-one KYC verification platform is built upon cutting-edge AI, trusted sources, and expert human reviewers, allowing us to offer an extensive and coherent array of checks, including AML & PEP Screening, Document Authentication, Biometric Verification, Multi-bureau Checks, Address Verification, and much more.
Why ComplyCube?
❇️ Trusted by startups and big names alike, including AXA, Lycamobile, and Citi.
❇️ 98% Client onboarding rate, helping you convert more customers and grow your business.
❇️ One-stop solution for everything you need to meet your AML and KYC compliance obligations.
❇️ Global coverage of 220+ countries, 10,000+ document types, and over 3,000 data points from trusted sources and partners worldwide.
❇️ A large set of features and checks, including PEP and Sanctions Screening, Adverse Media Checks, ID Document Verification, Biometric Checks, Liveness Detection, Government Database Checks, Address Verification, and more.
Annoy ComplyCubeNo features have been listed yet.
ComplyCube makes it easy to verify identities and stay compliant with regulations. It helps businesses onboard customers smoothly while following the rules. With simple tools to check identities and manage risks, ComplyCube is a great choice for any company needing to keep things legal and straightforward.
This was one of the most pleasant SaaS integrations I've ever experienced. Simple documentation, quick engagement from Sales all the way to Support. We wanted to launch our product in two countries, then scale to 16 within 4 months. ComplyCube was extremely supportive and provided us with KYC strategy and a platform that's flexible and useful for our business needs. Very pleased!
We've tried several SaaS platforms in the identity verification space, but we were left frustrated with complicated integration steps and not particularly unhelpful support and sales.
ComplyCube (and shoutout to Vic and Lucas) were brilliant from the get-go! The API documentation is rich and easy to follow. Integrations took us a couple of hours and our clients are breezing through the onboarding process keep it up guys!
Based on our record, Annoy seems to be more popular. It has been mentiond 35 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The focus on the top 10 in vector search is a product of wanting to prove value over keyword search. Keyword search is going to miss some conceptual matches. You can try to work around that with tokenization and complex queries with all variations but it's not easy. Vector search isn't all that new a concept. For example, the annoy library (https://github.com/spotify/annoy), an open source embeddings database. - Source: Hacker News / 10 months ago
If you want to go larger you could still use some simple setup in conjunction with faiss, annoy or hnsw. Source: 12 months ago
I then use annoy to compare them. Annoy can use different measures for distance, like cosine, euclidean and more. Source: about 1 year ago
Yes you can do this for equality predicates if your row groups are sorted . This blog post (that I didn't write) might add more color. You can't do this for any kind of text searching. If you need to do this with file based storage I'd recommend using a vector based text search and utilize a ANN index library like Annoy. Source: about 1 year ago
If you need large scale (1000+ dimension, millions+ source points, >1000 queries per second) and accept imperfect results / approximate nearest neighbors, then other people have already mentioned some of the best libraries (FAISS, Annoy). Source: about 1 year ago
txtai - AI-powered search engine
Onfido - Onfido is the data-driven platform for intelligent background checking.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Sumsub - One verification platform to secure the whole user journey
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Veriff - Smart and scalable identity verification.