Maive

What do they actually do

Maive is building a camera‑plus‑edge‑vision system that watches assembly work on the shop floor and automatically generates the compliance paperwork manufacturers must keep. The initial focus is aerospace assembly, where the software detects steps and tool usage at a station and maps them to required records so operators don’t have to fill forms by hand (YC company page, Crunchbase).

Intended users are shop‑floor operators, industrial engineers, and quality/compliance teams. Typical workflow: install cameras at stations; run on‑device/edge models to recognize the step being performed; auto‑populate the corresponding compliance fields; surface exceptions for review; and store structured records for audits and traceability (YC company page, LinkedIn announcement, Crunchbase).

The company is early stage (YC W25). Public materials show demos and a push for aerospace pilots; there’s no public disclosure of scaled deployments, pricing, or customer counts. Profiles list a very small team and early financing activity (YC company page, PitchBook, Crunchbase).

Who are their target customer(s)

• Aerospace assemblers / shop‑floor operators: They spend significant time filling compliance paperwork and lose time when steps are missed or reworked. Automating data capture reduces manual entry and audit risk (YC company page, LinkedIn announcement).
• Quality and compliance managers at regulated manufacturers: They need complete, auditable traceability and currently chase paper, photos, and signoffs across teams. Converting observed steps into structured records speeds audits (YC company page).
• Industrial engineers and production managers: They lack reliable real‑time data on step adherence, cycle times, and exceptions, making improvements and scheduling guesswork. Maive plans to surface analytics tied to actual activity (YC company page).
• Plant IT/security teams and systems integrators: They must keep systems secure (often air‑gapped) and avoid tools that exfiltrate video. Edge inference and hardened deployments fit facility constraints (YC company page, LinkedIn announcement).
• Procurement/operations leads at aerospace primes and suppliers: Supplier noncompliance causes delays and contract risk. Automatically captured, structured records reduce validation time and rework risk (YC company page).

How would they acquire their first 10, 50, and 100 customers

• First 10: Run paid, on‑site pilots at aerospace suppliers via YC/founder intros and direct outreach to quality/compliance leads; install cameras and deliver audit‑ready records within 2–4 weeks to create referenceable case studies (YC company page, LinkedIn announcement).
• First 50: Package a repeatable “compliance automation kit” (edge appliance, standard camera layout, short integration checklist) and sell direct to mid‑tier suppliers plus a few trusted aerospace SIs. Use early pilots as proof to shorten procurement and charge a small deployment fee (YC company page).
• First 100: Formalize a channel/reseller program (SIs, MES integrators, compliance consultants), publish ROI and audit outcomes, and add a self‑serve operator/no‑code layer for smaller shops. Pursue listings with primes’ supplier portals to enable bundled rollouts across supplier networks (YC company page).

What is the rough total addressable market

Top-down context:

If Maive evolves into a broader MES offering, the clearest top‑down TAM is MES: ~USD 15–16B in the mid‑2020s, with analyst forecasts toward ~USD 25–30B by 2030 (MarketsandMarkets, Grand View Research). Adjacent spend includes machine/computer vision in the low‑tens of billions (MarketsandMarkets, Grand View Research) and the aerospace beachhead, where parts/manufacturing is in the hundreds of billions and MRO runs roughly ~USD 90–104B per year (Grand View Research, Oliver Wyman).

Bottom-up calculation:

Illustratively, if Maive sells compliance automation at an average of USD 100k ARR per site and targets 500–1,500 regulated aerospace assembly sites/cells as an entry beachhead, the near‑term SAM would be roughly USD 50–150M ARR, before expanding into broader MES functionality.

Assumptions:

• Pricing per site averages USD 50k–150k ARR for software/support, with separate hardware/camera costs borne by the buyer or bundled.
• Initial focus is on 500–1,500 addressable aerospace assembly sites/cells among primes and Tier‑1/2 suppliers in core regions.
• Security/edge requirements are acceptable to facilities, enabling on‑prem inference without streaming video offsite.

Who are some of their notable competitors

• Instrumental: Manufacturing AI using cameras/computer vision to catch defects and provide near‑real‑time visibility; overlaps on vision, traceability, and inspection but is oriented to defect discovery/quality at scale (overview).
• Tulip: A no‑code/composable frontline operations platform that can act as an MES replacement; overlaps with Maive’s longer‑term goal of operator‑facing apps and compliance capture (composable MES).
• Poka: Connected‑worker software for digital work instructions, forms, and traceable issue management; competes on operator documentation and compliance workflows (product).
• Siemens Opcenter (Execution): Enterprise MES/MOM suite used for production tracking, electronic device history records, and regulatory traceability; the incumbent option Maive must displace or integrate with (Opcenter Execution).
• Landing AI (LandingLens): Computer‑vision platform for building and deploying inspection/document models (cloud and edge); overlaps on edge vision and extraction but is primarily an ML platform rather than an operator‑facing MES (LandingLens).