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

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

Ami

AiSDR

Paid

AI GTM agent that picks the audience, writes and launches outbound campaigns, reads the results and fixes what stops working.

Autonomous Campaign Loop: Ami picks the target audience, builds and launches the campaign, reads what comes back and changes what is not working, so each campaign sharpens the next without a human restarting the cycle.
Baked-In GTM Experience: Arrives with 27 industry playbooks and the lessons of 17,150 prior AiSDR campaigns and 19,501 meetings, so a first campaign launches with patterns other teams paid to learn.
Signal-Triggered Outreach: Watches hiring, funding and job-change signals and acts at the moment they happen rather than months later.
Performance Triage: When response rates slip, Ami digs into audience, message and sequence to pinpoint what is breaking and proposes fixes before the budget is spent — flagging, for example, a positive response rate under 1% after 21+ days.
Omnichannel Sequences: Configurable sequences combining email via Gmail or Outlook, LinkedIn connection requests, DMs and InMail, and AI call steps through the Aircall dialer with scripts and automated follow-ups.
Deep Per-Lead Personalization: Researches the top three most relevant data points per lead and personalizes from ICP data, activity, LinkedIn data and HubSpot properties.
Native CRM Sync: Two-way HubSpot sync on every plan and two-way Salesforce sync on higher tiers, with AI research and monitoring running over that CRM data.
Review Mode: Campaigns and Ami's proposed corrections stay drafts until approved, so the agent's autonomy is opt-in rather than assumed.

Founder-Led Outbound: A solo founder builds pipeline without hiring an SDR, starting self-serve with no sales call required.
Rescuing Stalled Campaigns: A revenue team catches a dying sequence early when Ami flags a collapsing positive-response rate and rewrites the audience or message.
Replacing Outbound Agencies: A company that has paid outside firms without results brings the motion in-house under one agent.
Warm-Signal Prospecting: A sales team reaches buyers right after a funding round, a relevant hire or a job change instead of cold-listing an industry.
CRM-Grounded Targeting: A HubSpot or Salesforce team has outreach built from and logged back into existing CRM data rather than a disconnected tool.
Multichannel Follow-Up: A team runs email, LinkedIn and dialer touches in a single sequence with replies handled in 5-10 minutes or in co-pilot mode.

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