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Vendor profile
Inventive AI
Vendor profileReviewed Jun 2026

Is Inventive AI right for your security review workload?

Inventive AI automates RFP, RFI, security questionnaire, and DDQ responses with a contextual AI engine and a unified knowledge hub that detects and resolves conflicting source information.

Compare Inventive AIView evidenceOpen buying notes

Fit Diagnostic

Move the targets to match your buying situation. The highlighted band shows where this vendor is designed to perform best.

Match score100%

Inventive AI fits this buyer profile well. Use the demo to prove evidence handling, approval routing, integrations, and stale-answer controls.

Primary strength

Conflict detection and resolution across knowledge sources.

Inventive AI is a credible AI-native alternative to legacy response-management tools for teams that want fast drafts and active conflict detection across knowledge sources. The conflict-resolution angle is the most interesting differentiator and overlaps conceptually with Iris’s "knowledge ledger" — both target answer drift. As with all AI-native challengers, diligence should validate accuracy and conflict-detection claims on real content and confirm enterprise security and scale.

Primary tradeoff

"First and only" and accuracy claims require validation.

Buyers should verify ownership, review routing, evidence freshness, implementation effort, and how generated answers are approved before they reach customers.

Not ideal for

Buyer-side TPRM needs.

Limitations are part of the decision. A product earns trust faster when buyers can see where it is not the right first purchase.

Best fit20+

Questionnaires per month, repeated customer portals, or enterprise review pressure.

Reviewed sources1

Research inputs reviewed for this profile.

Named integrations8

Structured integration coverage represented in this profile.

Tracked signals15

Features, integrations, and modern buying signals represented in this profile.

Directional profile

Inventive AI strength map

Use this to see where Inventive AI appears strongest, then confirm the gaps in a demo with your own questionnaire and approval process.

Strength radarEvidencedepthAIautomationWorkflowcoveragePortalhandlingTrustcenterIntegrationdepthEnterprisefitBuyerproof
Evidence depthHow much public proof and review material is represented in the profile.
3/10
AI automationSignals for answer generation, assisted review, and automation depth.
10/10
Workflow coverageCoverage across intake, routing, review, approval, and reuse workflows.
8/10
Portal handlingSupport for messy customer portals and non-standard questionnaire surfaces.
1/10
Trust centerHow well the vendor appears to connect questionnaires with reusable proof.
1/10
Integration depthStructured coverage of CRM, collaboration, docs, API, and knowledge systems.
10/10
Enterprise fitSignals that the product can support larger buying committees and governed rollout.
8/10
Buyer proofVisibility into customers, screenshots, proof points, and external validation.
1/10

Product Overview

What it does

Inventive AI automates RFP, RFI, security questionnaire, and DDQ responses. Public materials describe an AI Contextual Engine for tailored responses, a Unified Knowledge Hub aggregating multiple document sources, an AI Content Manager that detects duplicate and stale information, an AI Agents Hub for competitive research and refinement, conflict detection across sources, and role-based collaboration.

The defining claim is proprietary LLM technology positioned to detect and resolve conflicting information across knowledge sources, with confidence ratings and hallucination safeguards, plus real-time web research.

Summary

Inventive AI is for teams where security review is now a revenue workflow.

If questionnaires are frequent, multi-stakeholder, and customer-visible, workflow depth becomes more important than a simple answer library.

Fit Intelligence

Audience and use cases
Use cases

Primary Use Cases

Inventive AI is most relevant where the security review process is frequent enough to need repeatable workflow, evidence reuse, and buyer-facing consistency.

RFP / RFI automation

Generate tailored proposal and information-request responses from a unified knowledge hub.

Security questionnaire & DDQ automation

Auto-fill security questionnaires and due-diligence questionnaires with confidence ratings.

Knowledge conflict resolution

Detect and resolve conflicting or stale answers across connected sources.

How Inventive AI Works

Process
01

Aggregate knowledge

Connect Drive, SharePoint, Notion, Confluence and other sources into the hub.

02

Generate tailored answers

The contextual engine drafts answers with confidence ratings and conflict checks.

03

Review and refine

Teams collaborate, resolve conflicts, and refine answers with agents.

Feature Analysis

What to verify
AI Contextual Engine & Knowledge Hub

Generates tailored responses from a unified hub aggregating Drive, SharePoint, Notion, and Confluence.

  • AI Content Manager flags duplicate and stale content.
Conflict detection

Detects and resolves conflicting information across knowledge sources.

  • Conceptually similar to a "knowledge ledger" approach to answer freshness.

Ecosystem Signals

Support signals
Integrations

Major Integrations

Integration coverage matters because answer automation depends on how well the product can connect source systems, review workflows, and revenue-team tools.

Salesforce

CRM workflow support.

crm
Google Drive

Knowledge ingestion.

document storage
SharePoint

Knowledge ingestion.

document storage
Confluence

Knowledge ingestion.

knowledge base
Notion

Knowledge ingestion.

knowledge base
Slack

Collaboration and notifications.

collaboration
Jira

Task and review workflow.

other
Zendesk

Support-content source referenced in materials.

other

Fit Comparison

Compare alternatives
Criteria
Inventive AI
Iris ->AutoRFP.ai ->
Primary fit
High-volume RFP and questionnaire teams with content-conflict issues.Iris (heyiris.ai) is an AI platform for RFP, RFI, and security questionnaire response built around a "knowledge ledger" that keeps institutional answers current and consistent.AutoRFP.ai is an AI-native platform for RFP, DDQ, and security questionnaire responses with a library-less approach that learns from approved answers and a Chrome extension for procurement portals.
Decision lens
Shortlist Inventive AI when high response volume meets content-conflict problems and you prefer an AI-native tool over legacy suitesCompare workflow depth, integrations, and implementation effort.Compare workflow depth, integrations, and implementation effort.

Company Information

Snapshot and leadership
Company context

Inventive AI is a privately held, Y Combinator-backed (S23) AI response-automation company founded in 2023 and headquartered in Mountain View, CA. It was co-founded by CEO Dhiren Bhatia with Vishakh Hegde and Gaurav Nemade, and public materials reference a $4M seed round. Company-profile details should be treated as point-in-time context.

Founded2023
HeadquartersMountain View, CA
Company typePrivately held
Dhiren Bhatia

Co-founder & CEO - Listed as Inventive AI co-founder and CEO.

Vishakh Hegde

Co-founder - Listed as Inventive AI co-founder.

Gaurav Nemade

Co-founder - Listed as Inventive AI co-founder.

Implementation, Security, and Buying Notes

What to ask
TopicSummaryBuyer action
Implementation

Implementation is knowledge-hub-first: aggregate sources, validate drafting and conflict detection, and set collaboration roles. Time-to-value depends on content quality.

Ask to see setup steps.
Security review

Confirm AI data handling, model details, source access controls, SSO/RBAC, audit logs, retention, and subprocessors.

Ask about controls and audit history.
Pricing

Inventive AI does not publish detailed pricing; confirm tiers, seat model, and usage limits directly. Public ROI claims (win-rate, speed, efficiency) should be treated as directional.

Confirm package limits.
Integrations

Inventive AI ingests from Jira, Notion, Confluence, Drive, Slack, Salesforce, SharePoint, and Zendesk per public materials. Confirm connector depth and refresh behavior.

Validate included integrations.
Competitive position

Inventive AI competes directly with Loopio and Responsive (which it names) plus AI-native peers (Iris, Arphie, AutoRFP.ai, 1up). Its edge is conflict resolution and faster implementation than legacy tools; it is seller-side, not buyer-side risk.

Compare fit, not only features.
Buyer guidance

Shortlist Inventive AI when high response volume meets content-conflict problems and you prefer an AI-native tool over legacy suites. Validate conflict detection and accuracy on your own content and confirm enterprise controls.

Run the demo test.

Decision Signals

Compare on facts
Questionnaire coverageStatusNotes
Custom questionnaires

Documented

RFPs, RFIs, and security questionnaires from the unified knowledge hub.
DDQs

Documented

DDQs are a named use case.
Buyer portals

Verify with vendor

Confirm buyer-portal handling.
Procurement signalStatusNotes
Free tier or trial

Verify with vendor

Pricing is not published; confirm trial options.
SSO / SCIM

Verify with vendor

Confirm SSO/RBAC availability.
AI data handlingPublic signalNotes
Model providers

Proprietary LLM stack (providers not itemized publicly)

Inventive AI claims conflict detection and hallucination safeguards with confidence ratings. Confirm model details and retention.
Zero data retention

Verify with vendor

Ask for the current contractual retention terms.
No-training commitment

Verify with vendor

Confirm whether customer data trains vendor or third-party models.
Exit and portabilityDetailNotes
Export and lock-in

Not documented publicly.

Ask how the knowledge hub and past responses export at contract end.

Buyer Intelligence

Evaluation guidance
Demo Tests

What to test in an Inventive AI demo

Prove conflict detection, sourcing, and accuracy with your content.

Conflict detection

Seed two conflicting answers and confirm detection and resolution behavior.

Confidence and sources

Verify confidence ratings and source visibility on generated answers.

Real questionnaire

Run a real security questionnaire and measure cleanup effort.

Buyer Questions to Ask Inventive AI

Demo checklist

Use these questions to test whether Inventive AI fits your actual security review workflow, evidence process, and buyer portal reality.

  1. Does this product help your team send assessments, answer assessments, or both?

    Inventive AI is mainly for answering customer questionnaires and sharing trust evidence. Treat it as a vendor-side response and customer-trust workflow, not a full buyer-side TPRM system.

  2. What evidence sources does the AI use, and can every answer be traced back to a source?

    Inventive AI shows evidence-source and answer-reuse signals in the profile. In the demo, require source citations on generated answers and test what happens when sources conflict or become stale.

  3. Can it handle spreadsheets, PDFs, customer portals, and browser-based questionnaires?

    Inventive AI does not show strong public evidence for messy portal or file-format handling in this profile. Ask for a live walkthrough using your real questionnaire formats.

  4. Does it support SIG, CAIQ, HECVAT, VSAQ, and custom forms?

    Inventive AI does not clearly document SIG, CAIQ, HECVAT, or VSAQ support in the current profile. Ask whether those are supported natively, through templates, or only through custom imports.

  5. Can you tier vendors by risk before sending questions?

    Inventive AI has risk-review or due-diligence signals that may support vendor tiering. Ask whether tiering is native, configurable, and tied to questionnaire scope.

  6. Can a trust center reduce how many questionnaires your team receives?

    Inventive AI does not appear trust-center-first in this profile. If reducing inbound questionnaire volume is important, compare it against vendors with stronger trust-center workflows.

  7. Does it support human review, approvals, answer ownership, and audit trails?

    Inventive AI shows review, approval, ownership, or audit-control signals. In the demo, test low-confidence answers, SME routing, final approval, and audit history.

  8. Does it integrate with your GRC, CRM, procurement, ticketing, and document repositories?

    The profile lists 8 integrations across crm, document-storage, knowledge-base, collaboration, other. Examples listed in the profile include Salesforce, Google Drive, SharePoint, Confluence, Notion. Confirm which ones are native, which require API work, and which are plan-gated.

  9. What happens when a policy, SOC 2 report, subprocessor list, or product architecture changes?

    Inventive AI has source-maintenance or freshness signals in the profile. Ask who owns updates when policies, SOC 2 reports, subprocessors, or product architecture change.

Published

Jun 27, 2026

Last reviewed

Jun 27, 2026

FAQ

What makes Inventive AI different?

Inventive AI emphasizes proprietary LLM technology that detects and resolves conflicting information across knowledge sources, alongside RFP and security questionnaire automation.

Does it handle security questionnaires?

Yes. Inventive AI automates security questionnaires and DDQs in addition to RFP/RFI responses.

Shortlist Inventive AI