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Example investment pitches

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87/100

CloudSight AI — Enterprise Computer Vision

Strong pitch · Plan: Plus
CloudSight AI is transforming the $350B global manufacturing quality control market by bringing enterprise-grade computer vision to factory floors without the need for expensive custom hardware or lengthy installations. Every year, manufacturers lose over $1.8 trillion globally due to product defects, rework, and recall expenses, yet 78% of factories still rely on human visual inspection that catches only about 65% of defects on average — a number that drops significantly during long shifts. We have built a platform that works with existing off-the-shelf security cameras and edge computing devices already present on factory floors. Our proprietary lightweight vision models deploy in under 48 hours and integrate directly with existing MES and ERP systems via REST APIs and MQTT. In production deployments across 17 factories, we have demonstrated a 94% defect detection rate — a 46% improvement over human inspection — while reducing false positives to under 3%. Our customers have seen an average 40% reduction in scrap costs and a 32% decrease in customer returns within the first quarter of deployment. The global computer vision market in manufacturing is projected to reach $19B by 2028, growing at 22% CAGR, driven by labor shortages, rising quality expectations from end consumers, and decreasing costs of edge compute. Our initial beachhead is automotive tier-1 suppliers, where defect liability is highest and margins are razor-thin, but we have validated demand in pharmaceutical packaging, electronics assembly, and food processing verticals as well. We currently have 17 enterprise contracts generating $2.8M in annual recurring revenue, with an average contract value of $165K and 140% net revenue retention driven by expanding from single-line to multi-line deployments. Our gross margin is 82% on software licenses and 54% on bundled edge hardware. Customer acquisition cost averages $48K with a payback period of 3.5 months. Month-over-month revenue growth has averaged 14% over the last six months, and our sales pipeline stands at $7.3M across 32 active enterprise opportunities. We are led by a founding team of ex-Tesla and Intel engineers who have collectively shipped vision systems at scale across 120,000+ deployed units. Our CEO was the lead computer vision engineer on Tesla's Autopilot production line inspection system, and our CTO spent seven years at Intel's RealSense group architecting embedded vision pipelines. We are complemented by a head of sales who previously built and led the manufacturing vertical at Cognex, driving $40M in annual revenue. We are raising a $5M Series A led by [Lead Investor], with participation from existing angels. The funds will be allocated 40% to expanding our direct sales team from 5 to 18 reps targeting automotive and pharma verticals, 30% to building out our pharma-specific compliance and validation features, 20% to R&D on our next-generation anomaly detection models, and 10% to working capital. The round will extend our runway to 22 months and is sized to reach $12M ARR with 50+ enterprise customers.
Problem & Solution: 92/100 — Exceptionally clear problem-solution fit. The 94% defect reduction is a powerful, specific metric grounded in real deployments.
Market Opportunity: 88/100 — Well-quantified TAM with credible growth data, segmented by vertical. Could strengthen with a TAM/SAM/SOM breakdown chart.
Traction: 90/100 — Strong revenue and retention with detailed unit economics. $2.8M ARR and 140% NRR at Series A stage is compelling.
Business Model: 85/100 — Clear SaaS + hardware mix with healthy gross margins. Could benefit from explaining long-term software gross margin targets.
Team: 80/100 — Credible pedigree from top-tier companies with strong domain alignment. Adding specific relevant revenue impact per team member strengthens further.

Recommendations

• Add a competitive landscape map showing position vs. legacy players (Cognex, Keyence) and emerging competitors
• Clarify how the $5M will be specifically allocated (the 40/30/20/10 breakdown is good — make it visual)
• Include a bottom-up revenue build showing how 32 active opportunities convert to $12M ARR