Autumn Labs GTM brain

Autumn Labs sells manufacturing intelligence software to factory engineering and operations teams monitoring production stations and robots.

category

Manufacturing intelligence and industrial observability

market profile

  • text: Hybrid production lines produce fragmented data from automated test, robotic and manual stations, complicating line-wide diagnosis.
  • text: The platform combines station metrics, equipment states, unit history and control with predictive and root-cause analysis.
  • text: The company reported deployment across more than 50 automated stations in four consumer electronics lines, including contract manufacturers.

personas

  • title: Manufacturing operations director
    pains:
    • Station idle time and bottlenecks lower throughput across shifts.
    • Scattered reports make it difficult to identify where yield and capacity are being lost.
  • title: Automation or manufacturing engineer
    pains:
    • Robot, test and manual station logs use inconsistent formats and arrive too late for fast diagnosis.
    • Pushing test specifications and investigating equipment states across stations takes manual effort.
  • title: Quality engineering lead
    pains:
    • Process drift can spread defects downstream before a team notices.
    • Tracing a failed serial number through tests and stations slows containment and root-cause work.

icp

  • text: Consumer electronics manufacturers and contract manufacturers running automated assembly and test lines are evidenced early targets; other discrete manufacturers with similar stations may fit.
  • text: Enterprise factory teams with multiple robotic, test or manual stations and siloed MES and machine data are a strong fit; no employee threshold is published.

message pillars

  • text: Unify live visibility across factory equipment.
  • text: Trace each unit across assembly and testing.
  • text: Connect siloed evidence to investigate causes.
  • text: Reduce friction in station onboarding.

objections

  • objection: Will this integrate with our equipment and network?
    response: Qualify the exact station interfaces and network constraints, then pilot one representative station; broad compatibility is a vendor claim, not a guarantee.
  • objection: Can this improve our results beyond another dashboard?
    response: Baseline line yield, downtime and investigation time before a pilot and compare outcomes after deployment.
  • objection: Will setup disrupt production?
    response: Validate installation and network access on a test station first; the company claims a short setup but actual timing depends on the site.

competitors

  • name: MachineMetrics
    why: Machine data collection and production analytics compete for factory visibility budgets.
  • name: Tulip
    why: Connected operations and traceability software overlaps with production and quality workflows.
  • name: HighByte
    why: Industrial data integration and contextualization overlaps with connecting siloed factory systems.

influencers

  • name: Prathik Muppidi
    url: https://www.linkedin.com/posts/prathikmuppidi_robotics-manufacturing-autumnlabs-activity-7350921340381511681-0m_x
    why: Autumn Labs cofounder sharing robotics and manufacturing content.

keywords

  • factory monitoring software
  • robot monitoring platform
  • manufacturing traceability software
  • production line analytics
  • manufacturing root cause analysis
  • real time SPC monitoring
  • machine downtime tracking

voice

  • technical and practical
  • outcome-oriented
  • direct

signals

  • text: A factory is commissioning new automated test or robotic assembly stations and needs line-wide visibility.
  • text: Quality teams are seeing process drift, scrap or slow serial-number traceability investigations.
  • text: Engineers describe incompatible station logs, disconnected vendor systems or daily reports that arrive too late.

stack

  • MES
  • SDK
  • data API

hiring

  • Customer Success Engineer
  • Software Engineer

pricing

model: unknown

motion

sales_led

channels

  • LinkedIn
  • blog
  • documentation
  • newsletter

confidence

medium

Founders

  • name: Prathik Muppidi
    title: Founder/CEO
    role: CEO
    bio: University of Waterloo Mechatronics Engineering, ex-Google Engineer
  • name: Harsh Bhatt
    title: Founder/CTO
    role: CTO
    bio: Ex. Apple | Mechatronics Engineering @ University of Waterloo
  • name: Sam Monga
    title: Founder/CTO
    role: CTO
    bio: Hardware software engineer

Back to YC companies