Axari vs Querri 2.0: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Axari and Querri 2.0 — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Axari

Paid

An AI workforce for cybersecurity teams — an "AI twin" that triages alerts, chases owners and collects compliance evidence 24/7.

Critical Exposure Protection: Pulls finding and asset context, creates and assigns the ticket, then re-checks the scanner so an exposure is only closed once it is actually gone.
Continuous Compliance: Collects access evidence, maps it to controls and chases owners who have not responded, keeping evidence current outside of audit week.
Vendor Onboarding and Risk Review: Requests missing vendor documents, scores the vendor against internal policy and routes the decision to the risk owner with approvals attached.
Security Questionnaire Acceleration: Drafts answers from a team's approved response library and current policy language, flagging only the items that need human judgement.
Access Assurance: Enumerates every account and entitlement, nudges reviewers against a cutoff, then revokes and verifies removal rather than just requesting it.
Threat Response Assurance: Groups overnight alerts, enriches them with endpoint telemetry and opens assigned investigations so nothing sits in a queue.
Earned Access and Audit Trail: Every action requires human approval and is logged end to end, with zero data retention and customer knowledge staying with the customer.
Tool-Agnostic Integration: Works on top of a team's existing security stack instead of replacing it, mapping each tool's role during the first day of onboarding.

Alert Triage Coverage: Extending a small SOC to 24/7 by having the twin group, enrich and open overnight investigations before the team logs on.
Audit Readiness: Keeping SOC 2 or ISO evidence continuously collected and mapped to controls instead of scrambling during audit week.
Vulnerability Remediation Follow-Through: Driving findings to a verified fix by chasing the owning service team and confirming the scanner is clear.
User Access Reviews: Running periodic entitlement reviews end to end, including reviewer nudges and verified revocation.
Security Deal Support: Turning around customer security questionnaires quickly so enterprise deals are not blocked on review cycles.
Third-Party Risk Management: Onboarding new vendors with policy-scored documentation and a documented risk decision.
Incident Coordination: Keeping containment steps, session revocation and legal or leadership updates on a single coordinated timeline.

Querri

Paid

A conversational AI data analyst that cleans datasets and delivers instant charts, tables, and insights in plain English.

Data Cleaning & Preprocessing: Automatically detects and fixes common data issues (missing values, inconsistent types and formats) so datasets are ready for analysis without manual cleaning.
Natural-Language Chat Interface: Supports conversational queries in plain English, interpreting user questions and converting them into appropriate analyses and results.
Automatic Visualizations: Generates clear charts, graphs, and tables matched to the query, allowing users to immediately see trends and summaries.
Drill-Down Recommendations: Recommends places to explore further and suggests follow-up slices or queries to deepen insights.
Non-Technical UX & Guided Workflows: Designed for business users with guided prompts, templates, and an easy-to-use interface that reduces reliance on analysts.
Resources & Learning Center: Includes guides, tutorials, and documentation to help users learn analytics workflows and get the most from the platform.
Natural language chat interface for querying data
Automatic data cleaning and preparation
Instant generation of charts, graphs, and tables
Suggested drill-downs and next-step analyses
Resources and documentation for learning and onboarding
Designed for non-technical users and team workflows

Ad-hoc Business Questions: Non-technical managers ask sales or marketing questions in plain language and receive charts and explanations instantly for meetings or reports.
Data Cleaning Prior to Analysis: Clean messy CSV exports from multiple sources quickly so teams can move directly to insight generation.
Exploratory Analysis: Analysts and product managers use the chat interface to discover trends, outliers, and segments and then drill down into promising areas.
Report & Dashboard Preparation: Generate visualizations and summary tables that can be exported or copied into presentations and reports.
Onboarding & Training: New team members use the learning center and conversational interface to understand company data and common metrics without deep SQL skills.
Iterative Investigation: Business users follow Querri's suggested drill-downs to perform iterative investigations without needing a BI engineer for each question.
Non-technical business users asking ad-hoc questions of company data
Teams exploring datasets and generating visual reports quickly
Rapid data cleaning and preparation for analysis
Producing charts and tables for presentations or dashboards
Guided analysis and discovery via suggested drill-downs