1up
Also known as: 1up.ai, 1up AI
AI answer engine for sales teams that automates RFPs and security questionnaires and answers product questions from a grounded company knowledge base.
1up is an AI knowledge automation platform for sales teams, built to answer the steady stream of detailed product, pricing, security, and compliance questions that slow deals down. Its core job is turning a company's scattered internal knowledge into fast, accurate, source grounded answers, whether a rep needs a quick reply in chat or a team needs to complete a long request for proposal. The company, based in New York and founded by George Avetisov, frames the problem as one of knowledge that cannot simply be Googled or asked of a general AI because it depends on sensitive, company specific information.
1up builds a knowledge base from the sources a team already trusts, including its website, product documentation, previously completed questionnaires, Google Drive, SharePoint, Confluence, and Notion, and keeps it current automatically. On top of that base it applies large language models with guardrails to limit hallucinations, and every answer cites its sources so reviewers can trace where information came from. For questionnaires, it classifies and routes questions, generates hundreds of answers in minutes, supports more than twenty languages, and can fill Word, Excel, and web forms, the last through a browser extension.
Beyond bulk questionnaire work, 1up surfaces answers where reps already work. Ask 1up lives in Slack, Microsoft Teams, and Google Chat, appearing as another user that responds to questions instantly, and a Trust Hub gives customers a self serve portal for security, compliance, and IT answers and document downloads. Analytics surface trending questions, answer quality, and content gaps so teams can see what the field is asking. On security, 1up is SOC 2 Type II and ISO 27001 compliant, was built by cybersecurity engineers, encrypts data at rest and in transit, isolates each workspace, and never uses customer documents to train models.
1up is unusual in the RFP category for publishing transparent pricing rather than gating everything behind a sales call. It offers a free plan with limited usage and a 14 day free trial, with paid plans starting around $250 a month at a flat rate, scaling by team size, and custom pricing for larger enterprises. That accessibility, alongside a focus narrowly on answering tough sales questions rather than heavy project management, is how it differentiates from incumbent RFP suites. The company has raised more than $8M and counts WalkMe, Gladly, and Deliveroo among its customers.
Vendor details
Canonical URL
https://1up.ai
Category
GTM / revenue agent
Subcategory
RFP and questionnaire automation
Funding status
Independent. New York City startup founded by George Avetisov (CEO), with more than $8M raised (seed) from investors including 8-Bit Capital and RRE Ventures. Customers include WalkMe, Gladly, and Deliveroo.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Builds a knowledge base from sources including a company website, product docs, previously completed questionnaires, Google Drive, SharePoint, Confluence, and Notion, and surfaces answers in Slack, Microsoft Teams, Google Chat, and Salesforce. A browser extension fills answers into web forms.
In practice
Your team gets a 300 question security questionnaire and dreads the manual work. You upload it to 1up, which classifies the questions and drafts grounded, cited answers in minutes for review.
A rep on a call needs a precise answer about your product's compliance posture. They ask 1up in Slack and get an instant, source backed reply without pinging a solutions engineer.
Prospects keep emailing your team for security and compliance documents. You stand up a 1up Trust Hub so they can self serve answers and download approved files without distracting your reps.
Sources & related URLs
Related / legacy domains
Capability coverage
4.0 / 14 capabilities · 29%
| Integrations & Tool CallingBroad integrations with knowledge sources (Google Drive, SharePoint, Confluence, Notion, Box) and surfaces (Slack, Microsoft Teams, Google Chat, Salesforce), though these are content connectors and delivery surfaces rather than agentic tool calling. | Partial |
|---|---|
| Workflow OrchestrationProvides question classification, routing, and review workflows for questionnaire completion, but does not orchestrate autonomous multi step agent workflows. | Unable to verify |
| Knowledge Grounding & RAGCore product. Builds a centralized knowledge base from trusted company sources and uses retrieval over it with multiple LLMs to generate accurate, source grounded, cited answers, the heart of the product. | Full |
| Human Oversight & GuardrailsBuilt in review and approval workflows let humans verify and edit generated answers before they are sent, and guardrails limit hallucinations, though oversight is document review rather than runtime agent guardrails. | Partial |
| Security, Identity & GovernanceSOC 2 Type II and ISO 27001 compliant, built by cybersecurity engineers, with SSO, encryption at rest and in transit, workspace isolation, and a commitment not to train on customer data, a strong posture though identity governance depth beyond SSO is not detailed. | Partial |
| Observability & AuditabilityAnalytics surface trending questions, answer quality, and content gaps, and every answer cites its sources for traceability, though it is product and content analytics rather than agent execution tracing. | Partial |
| Memory & State PersistenceMaintains a persistent, updatable knowledge base, but this is a content store rather than an agent memory or state persistence layer. | Unable to verify |
| Deployment & Data ResidencyDelivered only as a cloud SaaS platform with no self host, on premises, or in VPC deployment option documented. | Unable to verify |
| Prebuilt Agents, Templates & PacksBuilds the knowledge base from each customer's own sources and offers no prebuilt agents, templates, or installable packs. | Unable to verify |
| Triggers & Channel CoverageAnswers are delivered across multiple channels including Slack, Microsoft Teams, Google Chat, a customer Trust Hub portal, and a browser extension, broad surface coverage, though it is question answering rather than triggered agent outreach. | Partial |
| Model Flexibility & RoutingApplies several LLMs internally to generate answers, but model choice and routing are not exposed to the user as a configurable capability. | Unable to verify |
| APIs, SDKs & MCP ExtensibilityOffers a browser extension and prebuilt integrations but no documented public API, SDK, or MCP server for developer extensibility. | Unable to verify |
| Testing, Debugging & OptimizationSurfaces answer quality and content gap analytics, but offers no agent testing, debugging, or evaluation product. | Unable to verify |
| Browser & Computer UseA browser extension fills questionnaire answers directly into web forms and web pages, a form of browser based automation, though it is targeted form filling rather than general computer use. | Partial |
Pricing
Free plan + 14-day trial · paid from $250/mo (flat) · Enterprise custom
Flat monthly subscription tiers scaling by team size (number of users); enterprise custom
Included quota
Free plan (limited usage). Paid from ~$250/mo flat (entry tier up to ~5 users). Higher tier ~$849/mo up to ~50 users. Enterprise custom for larger orgs. 14-day free trial. Unlimited collaborators noted on plans.
What is public
Free plan, 14-day trial, and a flat starting price of $250/month are public; exact higher tier and enterprise pricing scale by team size.
Billing mechanics
Flat monthly subscription tiers by team size, with a free plan and trial. Enterprise is custom.
Cost watchouts
The main cost driver is keeping the underlying knowledge base accurate and current, which is a content maintenance effort rather than a platform fee; larger teams move to higher tiers.
Variable cost rationale
Pricing is a flat monthly subscription that scales by team size rather than by question or document volume, so cost is predictable. Larger teams or enterprise needs move to higher tiers or custom pricing, but there is no per question metering.
Additional watchouts
Answer quality depends on the quality and coverage of the knowledge base you connect; thin or stale source content reduces accuracy. Higher tiers and enterprise scale by team size.
Overage / add-ons
Plans scale by team size; larger teams or volumes move to higher tiers or custom enterprise pricing rather than per question overage.
Sales call required
No — self-serve available
Free / trial
Free plan with limited usage; 14-day free trial on paid plans.
Lowest paid plan
Starter from $250/month (flat rate; entry tier ~up to 5 users at $249/mo)
Commercial notes
Notably transparent pricing in a category where incumbents (Responsive, Loopio, Qvidian) require a sales call. Free plan plus a published $250/mo entry make it accessible to SMB and mid market, with custom enterprise tiers.
Key ambiguities
Exact current tier user limits and enterprise pricing are not fully public.
Cancellation / refund
Free and self serve plans with standard cancellation; enterprise terms are contractual.
Support SLA / resale
Standard support on self serve plans; enterprise support on custom tiers.
Missing data
Exact current per tier user limits and enterprise pricing are not fully itemized.
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