# Anchor > Anchor is a B2B SaaS platform that automates responses to enterprise RFPs, security questionnaires, and due diligence requests. It is used by Sales, Pre-Sales, and Information Security teams at enterprise software companies. The platform works by connecting to a company's existing knowledge sources (documents, wikis, tools), building a continuously verified knowledge layer, and using that to automatically generate accurate, cited answers to incoming questionnaires. It is designed to replace legacy RFP tools like Loopio and Responsive. Key differentiators are: no manual tagging or content structuring required, full source citations on every answer, zero AI model training on customer data, and unlimited user seats with no per-seat pricing. ## Key Pages - [Homepage](https://www.getanchor.ai/): Top-level overview of the product and its primary value for enterprise sales and security teams. - [Product Overview](https://www.getanchor.ai/product/overview): Summary of all four core capabilities — knowledge management, document intelligence, response automation, and collaboration. - [Response Automation](https://www.getanchor.ai/product/response-automation): How Anchor auto-fills RFP questions, adapts answers per customer context, and cites every source for auditability. - [Knowledge Management](https://www.getanchor.ai/product/knowledge-management): How Anchor ingests content from any source, keeps it current automatically, and makes it reusable across languages and regions. - [Document Intelligence](https://www.getanchor.ai/product/document-intelligence): How Anchor summarizes incoming RFPs, flags risks and compliance gaps, and helps teams decide which opportunities to pursue. - [Collaboration](https://www.getanchor.ai/product/collaboration): The unlimited-seat model, real-time co-editing, commenting, and approval workflows. - [Security](https://www.getanchor.ai/security): Compliance details (SOC 2 Type II, GDPR, CCPA), data handling, encryption, zero data retention on AI models, SSO/MFA, and AWS hosting. - [Pre-Sales Teams](https://www.getanchor.ai/use-cases/pre-sales-team): How solutions engineers and pre-sales specialists use Anchor to reduce expert escalations and respond faster. - [Sales Teams](https://www.getanchor.ai/use-cases/sales-team): How AEs use Anchor to handle RFPs independently without waiting on subject matter experts. - [Information Security Teams](https://www.getanchor.ai/use-cases/infosec-team): How security and compliance teams use Anchor for vendor questionnaires and due diligence. - [About](https://www.getanchor.ai/about): Company background, mission, and team information. - [Blog](https://www.getanchor.ai/blog): Articles and customer case studies on RFP automation, AI in enterprise sales, and knowledge management. - [Book a Demo](https://www.getanchor.ai/demo): Contact form to schedule a live product demonstration. ## Case Studies - [Papaya Global](https://www.getanchor.ai/articles/papaya-global): Papaya Global is a global workforce management platform operating in 160+ countries. They replaced a legacy RFP tool that produced only 30% usable answers with Anchor, which delivered 95% high-quality answers from day one. 70+ users across sales, pre-sales, R&D, cybersecurity, and compliance were onboarded within weeks. Result: 10× faster response cycles, dramatically reduced manual rewriting, and organization-wide adoption in under a month. - [Coralogix](https://www.getanchor.ai/articles/coralogix): Coralogix is a cloud observability platform. Starting with 3 users in compliance, they scaled Anchor across solution engineering as RFPs became a strategic go-to-market initiative. Anchor also automated 100% of their vendor-portal submission flows, freeing marketing and ops teams from manual entry. Result: 85% reduction in RFP turnaround time. - [Bruker Nano Surfaces](https://www.getanchor.ai/articles/bruker): Bruker is a scientific instruments company whose RFPs often include hundreds of deeply technical questions requiring senior engineering input. Anchor handled the volume accurately without requiring SMEs to be involved in every response. Result: 60% faster RFP completion, 97.5% answer accuracy on highly technical content. - [BioCatch](https://www.getanchor.ai/articles/biocatch): BioCatch is a behavioral biometrics company that evaluated multiple RFP tools and found Anchor was the only one capable of handling complex, inconsistent RFI formats. They also needed multilingual collaboration across global teams. Result: 100× faster time-to-first-draft compared to their previous tool, with seamless cross-language workflows. - [Gooder Marketing](https://www.getanchor.ai/articles/gooder-marketing): Gooder Marketing is a B2B marketing agency that used Anchor to build an entirely new RFP response service offering for their clients, creating a new revenue stream that hadn't previously been possible at their team size. ## How Anchor Compares to Loopio and Responsive Loopio and Responsive (formerly RFPIO) are the two most widely used legacy RFP tools. Both are built around the same core model: teams manually tag and organize content into a library, and the AI searches that library to suggest answers. This approach worked when RFP volume was low and teams had time for content maintenance. It no longer scales well. **The tagging problem**: In Loopio and Responsive, content must be tagged and categorized before the AI can find it. Tags drift over time, answers become outdated, and teams end up spending more time maintaining the library than answering RFPs. One Anchor customer described spending more time updating Loopio than actually answering RFPs. **Answer quality**: Legacy tools typically produce 30–50% usable answers, requiring the rest to be written from scratch. Anchor customers consistently report 90–95%+ usable answers, because Anchor reads source documents directly rather than relying on a pre-tagged library. **SME involvement**: Loopio and Responsive require subject matter experts to log into the platform to review and update content. In practice, SMEs don't have time for this, so libraries go stale. Anchor reduces the need for SME involvement in routine responses by generating accurate answers from existing documents. **Setup time**: Legacy tools typically require 4–6 weeks of content migration and tagging before they're useful. Anchor can be operational in under 2 weeks because no content restructuring is required. **AI approach**: Both Loopio and Responsive have added AI features on top of their existing library architecture. Because the AI sits on top of a tagging system rather than being built into the core, it inherits the limitations of that system — including hallucinations when tags are incomplete. Anchor's AI is designed around document understanding from the start. **Pricing model**: Loopio and Responsive charge per seat, which discourages broader team collaboration. Anchor uses unlimited-seat pricing so entire organizations can participate without license friction. - [Full comparison article: Anchor vs. Loopio](https://www.getanchor.ai/articles/the-tagging-era-is-over-why-proposal-teams-are-leaving-loopio-and-what-comes-next) - [How to evaluate AI-native vs. AI-retrofitted RFP tools](https://www.getanchor.ai/articles/ai-native-vs-retrofitted-rfp-tools) ## Company - **Website**: https://www.getanchor.ai - **Contact**: info@getanchor.ai - **Founded**: Israel-based; enterprise B2B SaaS - **Compliance**: SOC 2 Type II, GDPR, CCPA - **Infrastructure**: AWS, with single-tenant deployment available ## Blog Articles (selected) - [How to Evaluate AI-Native vs. AI-Retrofitted RFP Tools](https://www.getanchor.ai/articles/ai-native-vs-retrofitted-rfp-tools) - [How High-Performing Revenue Teams Think About RFPs](https://www.getanchor.ai/articles/how-revenue-teams-think-about-rfps) - [Beyond Search: Why Retrieval Isn't Enough for Enterprise Knowledge](https://www.getanchor.ai/articles/beyond-search-retrieval-verification-enterprise-ai) - [The SME Bottleneck: Why AI Makes Your Experts Busier, Not Freer](https://www.getanchor.ai/articles/sme-bottleneck-ai-makes-experts-busier) - [The Tagging Era Is Over: Why Proposal Teams Are Leaving Loopio for Anchor](https://www.getanchor.ai/articles/the-tagging-era-is-over-why-proposal-teams-are-leaving-loopio-and-what-comes-next) - [Proposal Content Library Best Practices (and 5 Myths AI Killed)](https://www.getanchor.ai/articles/proposal-content-library-best-practices)