SiftHub
Category: AI in Sales / Revenue
SiftHub is an AI-native deal orchestration and RFP automation platform that helps sales and presales teams automate responses, generate buyer-tailored collateral, and close deals faster. SiftHub was founded in 2023. The company is led by Manisha Raisinghani. Based in San Francisco, California, United States. Team size: 11-50. Total funding raised: $5.5M. Latest round: Seed. Key investors include Matrix Partners India (Z47), Blume Ventures, Neon Fund, Mars Shot Ventures, Angel investors from Superhuman, Cloudflare, DevRev, Razorpay, SuperOps.
- Founded
- 2023
- Headquarters
- San Francisco, California, United States
- Team size
- 11-50
- Total funding
- $5.5M
Value proposition
SiftHub centralizes enterprise knowledge scattered across multiple tools and uses RAG + fine-tuned LLMs to automate RFP responses, deal briefs, battlecards, security questionnaires, and sales collateral — enabling sales teams to spend more time selling and less time searching for information.
Products and solutions
SiftHub Pulse (in-call assistant), AI RFP Software, Sales Collateral Builder, Deal Brief Generator, Enterprise Search, Battlecard Agent, RFP Agent, BuyerIQ Agent, Answer Agent, Search Agent, Analytics, Integrations with Salesforce
Unique value
SiftHub is an AI-native platform purpose-built for the full presales workflow — not just RFP responses — that dynamically learns from a company's knowledge sources (Slack, Gmail, Drive, HubSpot, Salesforce, Confluence) to deliver accurate, context-aware answers with 99.2% accuracy, reducing RFP turnaround by 50-80% and freeing up 70%+ of SE bandwidth.
Target customer
B2B companies selling to mid-market and enterprise customers with revenues between $50M and $500M; specifically presales/solutions engineering teams, sales teams, and bid/proposal teams
Industries served
Enterprise SaaS, Technology, B2B Sales, Professional Services
Technology advantage
Built on open-source LLMs with RAG (Retrieval-Augmented Generation) and cross-encoders to minimize hallucinations; smart search algorithm considering document recency; AI-native architecture (not a legacy system with AI bolted on); supports 10 languages; SOC 2, ISO 27001, and VAPT certified; MCP (Model Context Protocol) support
How they differentiate
Unlike legacy RFP tools (Responsive/RFPIO, Loopio) that rely on static Q&A repositories and operate in isolated portals, SiftHub dynamically updates its knowledge base from completed RFPs, works inside native tools (Excel, Word, Google Sheets, Slack, Teams), and extends beyond RFPs to cover the full deal lifecycle (deal briefs, battlecards, in-call assistance, sales collateral). It is AI-native from day one rather than adding AI as an afterthought.
Main competitors
Responsive (formerly RFPIO), Loopio, Inventive AI
Key partnerships
Integrates with Salesforce, HubSpot, Slack, Microsoft Teams, Google Drive, SharePoint, Confluence, Zendesk, Gong, Chorus, Highspot, Seismic
Notable customers
Sirion, Rocketlane, Allego, Zycus, ActivTrak, Congruent Solutions
Major milestones
Founded 2023, Raised $5.5M seed round April 2024, Launched SiftHub Pulse (in-call assistant) 2025/2026, Achieved SOC 2, ISO 27001, and VAPT certifications, Expanded from RFP automation to full deal orchestration platform
Growth metrics
8x faster RFP completion; 50-80% reduction in RFP turnaround time; 70%+ bandwidth improvement for SEs; 14+ hours saved per questionnaire; 1.5x increase in RFPs handled per month; 99.2% response accuracy claimed
Market positioning
SiftHub positions itself as a modern AI-native alternative to legacy RFP platforms like Responsive (RFPIO) and Loopio, targeting teams that want AI that actually drafts responses rather than just managing projects. It competes in the broader AI sales enablement space alongside Quilt, People.ai, and Darwin AI.
Geographic focus
Global (headquarters in San Francisco, US; R&D team in Mumbai, India)
About Manisha Raisinghani
Ex-Co-founder & CTO of LogiNext (logistics SaaS); MISM from Carnegie Mellon University; previously at IBM logistics tech
Latest news about SiftHub
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Official website: https://www.sifthub.io/