Updated Q1 2026 · 9 Platforms · 7 Criteria

AI Platform Tool

Find your perfect
AI platform match.

I've spent months evaluating every serious agentic AI platform on the market. My expert ratings are fixed — your priorities are not. Adjust the weights below to see which platform fits your business.

01

Expert-Rated Scores

I've scored every platform across 7 criteria based on research, hands-on testing, and industry benchmarks — updated quarterly.

Expert Fixed · Updated Q1 2026
02

You Set the Weights

Move the sliders to reflect what matters most to your business. Security more important than cost? Crank it up. Don't need scheduling? Dial it back.

Your Variables
03

Your Match Appears

The scorecard calculates instantly. Your top platform rises to the top. No email required, no paywall — just clarity.

Live Results

Adjust. Rank. Decide.

Most businesses run 2–3 AI platforms. This helps you identify which should anchor your strategy.

Show Platforms
General Purpose tools run standalone. Enterprise Only require existing licences or infrastructure.
Usage Complexity
Applies a score bonus to platforms best suited for your intended use level. Click again to deselect.
Your Customer Engagement Suite
Agentforce only appears when Salesforce license is confirmed. D365 boosts Copilot. HubSpot boosts platforms with native CRM connectors.
Productivity Suite
Boosts platforms with native productivity suite integration.
Data Platform
Boosts platforms with native connectors to your data platform. Selecting AWS also boosts Amazon Q.
Communications Platform
Boosts platforms with deep native integration to your primary comms tool.
Your Priorities
7 criteria · Drag to weight · 0 = doesn't matter, 10 = critical · Stack selections add score bonuses
Your Variables
Your Platform Match
Updates live as you adjust your priorities
Expert Rated
Score = weighted average of expert platform ratings × your priority weights. Platforms with identical stacks (e.g. Microsoft shop) may benefit from manually reviewing Tier 2 options below.

The research behind the score.

These scores are built from real-world usage. They reflect hands-on testing across my own workflows and direct client engagements, including AI transformation programs for organizations in energy, retail, and enterprise SaaS. My background spans 20+ years implementing enterprise systems and architectures for some of the world's largest brands. The criteria here are what I've seen matter most to serious buyers: security posture, integration depth, model performance under real load, and the ability to scale without surprises. There is no wrong answer — your stack, your constraints, and your priorities are unique to your business. What I can say with confidence is that the AI landscape is moving faster than any evaluation cycle can keep up with. I update these scores quarterly, but treat them as a directional lens, not a final verdict. If something looks off or if you have any feedback, I want to know. Connect on LinkedIn or email me at imran@lift-off.digital.

Last updated: Q1 2026 🔒 Expert-controlled
Stack Match shows native ecosystem alignments — selecting them in the filter above adds a score bonus. Model Performance validated against lmarena.ai.