Iris
AI platform that runs the full RFP, proposal and security-questionnaire lifecycle, from go/no-go to win analysis.
By Iris · 4.9/5 Value-Position score (estimate)
Positioning guardrails
Best for
- B2B sales-engineering and proposal teams answering high volumes of RFPs, DDQs and security questionnaires
- Mid-market and enterprise teams that want cited, source-grounded AI drafts instead of generic LLM output
- Organizations whose approved knowledge already lives in SharePoint, Drive, Notion, Confluence, Highspot or Seismic
- Teams that need timestamped review, sign-off and version history for regulated or security-heavy responses
Ideal size: 20–500 people · Mid-market to enterprise with a sales-engineering or proposal function
Not for
- Teams with low proposal volume, where a shared drive plus a general-purpose LLM is enough
- Buyers who need a published price list before they will take a demo — pricing is quote only
- Firms expecting a full GovCon capture, pricing or DCAA-compliant accounting suite
- SMBs with no approved content library and no SMEs available to review drafts
Value metrics scorecard
Time-to-Value
Same day — first draft in one onboarding session
~1 days to first production value
Total Cost of Ownership
On request
Per active user, billed annually; unlimited RFPs, proposals, DDQs and security questionnaires included. Quote-based, via sales.
Implementation Friction
2/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Priced per active user; seat pricing discussed with sales, no published minimums or tiers
Add-on costs
- None
Company & support
Who is behind Iris, and how your team gets help once it is live.
Company
- Founded
- 2023 · 3 yrs in business
- Headquarters
- Not recorded
How you get support
- PhoneNot listed
- EmailPlan not stated
- Live chatNot listed
- Support portal / ticketsNot listed
- Community forumNot listed
- Help centre / docsAll plans
- Dedicated account managerPaid plans
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Emails answered within one business day
General enquiries, procurement and security-review requests go to [email protected]. Self-serve Iris Knowledge Base, quick-start guide and release notes sit at support.heyiris.ai. A dedicated CSM is listed as part of the plan.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Iris sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Iris
- Arphie
- EveryoneSocial
- Hyperbound
- Tribble
- Apollo.io
Add or change companies
Up to 10 companies including Iris. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
Ships an official MCP server. Connects to Claude Code, Claude Desktop, ChatGPT connectors and Cursor out of the box.
AI & MCP readiness
What Iris ships in AI, and what it asks of your ecosystem.
AI features shipped
Scores go/no-go fit against win history, extracts questions, requirements and compliance clauses from long RFPs, drafts cited narrative in the team's voice, and flags low-confidence answers for SME review. Human approval is required before anything reaches a buyer. Win/loss attribution is traced back to the content that moved the deal.
Your data & models
- Trains on your data
- Never trains on your data
- Runs on
- Not recorded
- AI pricing
- Included in the plan
In your ecosystem
- AI connection
- Official MCP server
- Model key
- Not recorded
- AI usage audit
- Full audit trail
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Iris is an AI proposal platform (founded 2023) that runs the RFP lifecycle end to end: go/no-go fit scoring, research briefs, cited AI drafts, routed SME review with timestamped sign-off, and win/loss attribution. It also covers security questionnaires and DDQs, syncing knowledge from SharePoint, Drive, Notion and Seismic, with integrations for Salesforce, HubSpot, Slack and Teams and an MCP server for ChatGPT, Claude and Gemini. Pricing is per active user, quote only.
Frequently asked questions
How long does it take to get value from Iris?
The vendor states most teams produce their first RFP draft in a single onboarding session and compound from there as the knowledge map fills in. Integrations are OAuth-based and take roughly 60 seconds to connect, and content then re-indexes automatically, so there is no second repository to maintain. Implementation is included in the plan rather than charged as a separate project.
How is Iris priced?
Pricing is per active user, not per submission, with unlimited RFPs, proposals, DDQs and security questionnaires and no usage caps or overages. The published pricing page lists full platform access, SSO/SAML/SCIM, a dedicated CSM, implementation and MCP access, but no dollar figures — you must contact sales for seat pricing.
Does Iris train on our data?
The security page states that customer data is never used to train external or shared foundation models, and the privacy page says customer content is never used to train shared models. The claim is described as contractual rather than aspirational, with tenant isolation, zero data retention, and content restricted to approved, permissioned sources.
What security certifications and reports does Iris hold?
Iris states that a SOC 2 Type II report, annual third-party penetration test reports, a GDPR DPA and a security architecture overview are available under NDA. It advertises SSO, SCIM, audit-log export, encryption in transit and at rest, and 24/7 monitoring. No ISO 27001, HIPAA or FedRAMP authorisation is claimed on the public pages.
Which systems does Iris integrate with?
Knowledge sources include SharePoint, Google Drive, Notion, Confluence, Highspot and Seismic; CRM covers Salesforce and HubSpot; call and deal context comes from Gong, Zoom, Teams and email; security content syncs from Drata and Vanta. Collaboration runs through Slack and Microsoft Teams, GovSpend feeds public-sector bids, and an MCP server connects Iris into ChatGPT, Claude and Gemini.
Is Iris a fit for government contracting?
Partly. The GovSpend integration pulls bids directly into Iris with procurement intelligence to inform go/no-go, and the vendor cites Corelight's federal sales engineering team. However, Iris publishes no FedRAMP authorisation and is not a GovCon accounting or pricing-volume tool, so contractors with those requirements would need to pair it with other systems.