P9 AI Fluency Index vs sizeless: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of P9 AI Fluency Index and sizeless — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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P9 AI Fluency Index
Point Nine
Free 12-minute diagnostic that grades a company's AI fluency on a 0–100 scale and recommends three next moves.
Key features
- Quick Diagnostic: A 12-minute online questionnaire composed of nine focused questions across six dimensions, enabling rapid assessment of organizational AI fluency.
- Rubric-Based Scoring: Converts individual 0–5 question responses into a normalized 0–100 composite score using rubrics sourced from Zapier, Fin, Shopify, Ramp, and Jobber for reliable benchmarking.
- Actionable Recommendations: Produces three prioritized next-move recommendations tailored to the company’s overall score and dimension-specific weaknesses to guide immediate action.
- Dimension-Level Insights: Breaks down results by six distinct dimensions (e.g., data practices, tooling, workflows) so teams can pinpoint specific strengths and gaps.
- Founder/Operator Focus: Questions and output are framed for founders and operators, making results directly applicable to strategic and operational decision-making.
- Benchmarking Context: Positions a company’s score relative to industry rubrics and best practices to help prioritize investments and initiatives.
- Free Web Access: Fully web-based, no-cost diagnostic that delivers instant results and recommendations for easy sharing and iterative assessments.
- 12-minute web-based diagnostic
- Nine questions covering six dimensions
- Per-question scoring on a 0–5 scale
- Aggregate fluency score normalized to a 0–100 scale
- Three personalized recommended next moves based on results
- Rubric-grounded evaluation using published benchmarks (Zapier, Fin, Shopify, Ramp, Jobber)
- Targeted at founders and operators for organizational assessment
Best for
- Early-stage readiness: Founders use the diagnostic to determine whether they are ready to integrate AI into product roadmaps and which hires or capabilities to prioritize.
- Investor diligence and support: VCs and angel investors benchmark portfolio companies’ AI fluency to identify where to provide operational support or follow-on investment.
- Roadmap prioritization: Product and engineering teams identify the highest-impact AI initiatives by focusing on dimension-level gaps highlighted in the report.
- Leadership alignment: Operators present the assessment results to leadership teams to create consensus on infrastructure, data, and process improvements needed for AI adoption.
- Progress tracking: Teams retake the assessment periodically to measure improvements in AI fluency and validate the impact of implemented changes.
- Vendor and partner selection: Organizations use dimension insights to choose tools or partners that directly address their most critical capability gaps.
- Founders assessing their company's readiness and fluency with AI-related practices
- Operators benchmarking organizational AI maturity against published rubrics
- Prioritizing next-step actions to improve AI adoption and capability
- Quick self-assessment for startup leadership to inform strategy and investment
sizeless
sizeless
Turns a smartphone video of an open trench into a centimetre-accurate 3D point cloud, CAD as-built plan and GIS-ready digital twin of buried utilities.
Key features
- Smartphone capture: Field crews record an open trench with a standard iPhone Pro — no specialist scanning hardware and no separate surveying appointment
- Centimetre-accurate point clouds: Reconstruction algorithms developed at ETH Zurich build a high-resolution 3D point cloud of the excavation from the video alone
- Standards-compliant CAD output: Generates as-built plans in DWG and DXF, with couplings and pipe runs identified and measurements simplified
- 3D digital twin and GIS export: Produces a model of the pipe route including building entries that drops into existing GIS systems
- Works without GPS: Captures basement sections and building entry points where GNSS-based surveying fails
- Immediate backfilling: Because capture takes minutes, trenches close right after filming instead of waiting on a survey crew
- Documentation in about 72 hours: Complete records arrive weeks earlier than conventional surveying, enabling prompt connection billing
- Third-party utility capture: Records crossing utilities and as-laid geometry as unbroken 3D evidence, replacing hand sketches
Best for
- A utility network operator documenting residential service connections without booking a surveyor for every site
- A contractor closing a trench the same day instead of leaving it open pending a survey appointment
- Capturing a building entry point in a basement where GPS-based surveying cannot get a fix
- A district heating project producing as-built DWG plans for regulatory sign-off
- Spotting a laying error in the 3D point cloud before backfilling, while the fix is still cheap
- Feeding as-built pipe geometry into a GIS system for long-term network maintenance planning