- Specialization
- Security
- Business
- Software Applications
- Market
- Cross Industry
- Ecosystem
- Agents
- Customers
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Agents
- Business
- Software Applications
- Specialization
- Security
- Market
- Cross Industry
- Customers
- Enterprises
- Delivery models
- Hosted Software
- Revenue models
- Subscription
- Listing status
- Not classified
- Latest equity round
- Series B
- Reported funding amount
- $10M-$50M
About
Conveyor builds AI-powered software for B2B vendors and enterprise information-security, sales, and presales teams to automate customer security reviews, questionnaires, Trust Centers, and RFPs. Its differentiator is agentic automation: AI agents triage, answer, escalate, and delegate work while providing accurate responses and self-serve security documentation to buyers.
Market
Conveyor competes in the customer trust automation and security-review software market, at the intersection of GRC, sales enablement, security questionnaire automation, RFP response, and Trust Center software. It positions itself as an enterprise-focused, agentic AI platform that automates the workflow from Trust Center publication through questionnaire and RFP responses. Its primary differentiation is the combination of AI agents, custom RAG for context-grounded answers, and a self-serve Trust Center, whereas competitors tend to emphasize compliance management, Trust Centers, or general-purpose RFP response workflows.
Conveyor primarily serves enterprise and growth-stage B2B software/SaaS companies that handle frequent customer security reviews, due diligence, RFPs, and compliance-document requests. Core buyers and users are Infosec/GRC, security, sales engineering, and presales teams seeking to automate questionnaire responses and customer trust workflows without adding headcount.
At a Glance
Problem
B2B companies routinely face customer security reviews before a deal can close: questionnaires arrive through email, ticketing systems, CRMs, or portals, then require security, legal, sales, and product teams to locate evidence, reconcile conflicting documentation, and produce accurate answers. Conveyor frames this as a revenue problem rather than merely a security-team task: procurement and rising scrutiny around sensitive data and AI can delay or block deals, while the work consumes scarce expert time. The killer use case is automating repetitive questionnaire completion at scale; Conveyor cites examples such as Carta reducing review time by 83%, Zapier reducing questionnaire time by 75%, and Temporal saving more than $100,000 annually.
Product / Service
Conveyor is an AI-native customer trust platform combining questionnaire automation, an agentic Trust Center, and workflow integrations. Its AI agent can pick up requests from Slack, a CRM, or a ticketing system, triage them according to company rules, answer questions from the organization’s knowledge base, communicate with sellers and teammates, attach completed questionnaires, close tickets, and in some cases auto-complete customer portals. The Trust Center gives buyers self-service access to security information while the agent answers questions and surfaces documentation, reducing the need for manual follow-up calls.
The delivery model is enterprise SaaS centered on autonomous AI agents that operate inside existing workflows, including Slack, Salesforce, and Jira. The claimed benefit is end-to-end rather than limited answer generation: Conveyor reports 95% accurate, traceable answers, automation of roughly 90% of questionnaires, and an 83% reduction in review time, while its platform has answered more than 2.7 million security questions.
Market
Conveyor competes in customer trust, security questionnaire automation, and trust-center software, with an adjacent position in AI-assisted RFP and proposal workflows. Its own competitive materials name Wolfia, SafeBase by Drata, Vanta, Whistic, Loopio, and Responsive, while its comparison messaging positions Conveyor against Whistic on full workflow automation, portal completion, and agentic handling of security reviews. The category sits at the intersection of cybersecurity operations, sales enablement, security compliance, and revenue operations.
The company has clear commercial traction rather than evidence of being pre-revenue: its site references customers including Hootsuite, Zapier, Carta, Sumo Logic, Temporal, Nutrient, Nucleus Security, and dbt Labs, alongside quantified case-study outcomes. Conveyor announced a $12.5 million Series A in 2024 and a $20 million Series B in June 2025. The reviewed sources do not disclose revenue figures or profitability, but the funding history, enterprise customer references, product ratings, and reported volume of answered questions indicate an operating venture-backed software company with meaningful adoption.
Founders & Leadership
Funding History
Cervin Ventures
SignalFire
Recent News
Conveyor published its August 2026 product update on September 10, announcing that it had shipped a new Agentic Answer Engine. It also rebuilt ConveyorAI for RFPs with a new Word experience and proposal workspace, alongside an AI Connector and other workflow updates.
Conveyor announced the launch of an Agentic Trust Center designed for both human users and AI agents. The associated AI Connector enables agents to authenticate, find and download permitted trust documents, ask questions, and complete security-review workflows; Conveyor positioned the launch as supporting FedRAMP 20x’s move toward machine-readable, programmatic access.
Conveyor announced availability inside Claude, Cursor, OpenAI Playground, and other AI tools, extending its platform through MCP-based access.
Conveyor launched an embedded AI-powered Trust Center Agent designed to answer customer due-diligence questions with citations and fetch and bundle documents on demand. Questionnaire answering and multilingual capabilities were identified as forthcoming features.
Active Roles
3Business Model
Conveyor sells its platform through tiered SaaS pricing, including a free tier and paid editions; public pricing information shows plans ranging from $0 to $9,600, with a Professional plan listed at $9,600 per year. Its official pricing states that there are no per-user or integration fees, indicating monetization through plan- and usage-based access rather than seat charges.
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Customers
Tech Stack
Similar Companies
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Key Investors
SignalFire, Oregon Venture Fund, Cervin Ventures