Acerta provides software solutions that leverage machine learning for predictive quality analytics in the automotive manufacturing sector.

Acerta

Ford Motor Company develops, delivers, and services a range of Ford trucks, commercial cars and vans, sport utility vehicles, and Lincoln luxury vehicles worldwide. It operates through Ford Blue, Ford Model e, and Ford Pro; Ford Next; and Ford Credit segments. The company sells Ford and Lincoln vehicles, service parts, and accessories through distributors and dealers, as well as through dealerships to commercial fleet customers, daily rental car companies, and governments. It also engages in vehicle-related financing and leasing activities to and through automotive dealers. In addition, the company provides retail installment sale contracts for new and used vehicles; and direct financing leases for new vehicles to retail and commercial customers, such as leasing companies, government entities, daily rental companies, and fleet customers. Further, it offers wholesale loans to dealers to finance the purchase of vehicle inventory; and loans to dealers to finance working capital and enhance dealership facilities, purchase dealership real estate, and other dealer vehicle programs. The company was incorporated in 1903 and is based in Dearborn, Michigan.

Ford Motor Company

German Autolabs provides voice assistance technology for last-mile logistics, supporting delivery staff and mobile workers. The company's solution aims to boost efficiency, quality of work, and road safety while reducing training time for new employees.

German Autolabs

Tesla, Inc. designs, develops, manufactures, leases, and sells electric vehicles, and energy generation and storage systems in the United States, China, and internationally. It operates in two segments, Automotive, and Energy Generation and Storage. The Automotive segment offers electric vehicles, as well as sells automotive regulatory credits; and non-warranty after-sales vehicle, used vehicles, retail merchandise, and vehicle insurance services. This segment also provides sedans and sport utility vehicles through direct and used vehicle sales, a network of Tesla Superchargers, and in-app upgrades; purchase financing and leasing services; services for electric vehicles through its company-owned service locations and Tesla mobile service technicians; and vehicle limited warranties and extended service plans. The Energy Generation and Storage segment engages in the design, manufacture, installation, sale, and leasing of solar energy generation and energy storage products, and related services to residential, commercial, and industrial customers and utilities through its website, stores, and galleries, as well as through a network of channel partners; and provision of service and repairs to its energy product customers, including under warranty, as well as various financing options to its solar customers. The company was formerly known as Tesla Motors, Inc. and changed its name to Tesla, Inc. in February 2017. Tesla, Inc. was incorporated in 2003 and is headquartered in Austin, Texas.

Tesla, Inc.

Acerta  | 5,868 followers on LinkedIn. Actionable insights that help manufacturers produce better parts, more efficiently.
 | Forged from industrial experience and driven by data science, Acerta assists precision manufacturers to take their digital transformation beyond manually crunching sensor data. Our ML/AI-powered software services enable companies to make the right decisions fast, optimize production and improve product quality. We translate complex product data into actionable insights.

Customer Success Manager at Acerta | Mechanical Engineer | Former Mathematics Professor

Tristan Guerrero

Senior Director of Customer Success at Acerta

Aaron Alberts

Experienced Software Engineer | Driving Digital Transformation in IT & Industrial Automation

Daniel Ferrari, P.Eng.

Versatile Web Engineer | Angular Specialist | Technical Lead | Problem-Solver | Open Work Permit

Ritesh Singh

We love working with quality teams because for them, striving for excellence isn't a "nice to have", its at the core of what they do. When large scale changes happen, (like the fourth industrial revolution and AI) quality professionals think to themselves, "Yeah nothing we haven't seen before, its all part of continuous improvement." Happy #WorldQualityWeek to all our Lean Six Sigma Black Belts and everyone with "Quality" in their title!

Our partnership and integration with ETQ is a big step in our mission to provide manufacturers with the critical insights they need from their manufacturing data to improve critical KPIs like scrap and rework. Thanks for noticing, ABI Research .

Our CEO Greta Cutulenco will be speaking at the Toronto Region Board of Trade Annual Dinner in February to share her perspective about AI's role in improving productivity to enhance competition based on Acerta's experiences in the automotive industry.

Join Greta Cutulenco in Toronto next week for DMZ's Women in Tech Breakfast.

Its been a busy October so far, and we're excited to keep working with partners like Inductive Automation to seamlessly bring predictive quality analytics to the shop floor.

It has been our pleasure to collaborate with Microsoft and NGen Canada to bring Linamar Corporation 's project to life. Together, we're developing revolutionary Industrial technology and solutions right here in #Ontario .

Did you catch a certain mustachioed gentlemen from Acerta in this wrap-up video? Last week our very own Aaron Alberts and Robert Plumridge facilitated a round-table discussion about applying AI to improve quality at the AIAG Quality Summit. The attendees discussed the merits and challenges of predictive analytics, AI copilots, other LLMs, and vision inspection. It's truly an exciting time for #manufacturingquality .

Greta Cutulenco explained how Acerta LinePulse and ETQ Reliance work together using these slides at the ETQ customer conference in Dallas this week. All manufacturers know that the cost to solve a quality issue increases exponentially the later it is detected. Relying on traditional methods like SPC alone to control quality often results in discovered defects far too late in complex processes. Reliance users can now get predictive alerts sent directly to the platform based on real time machine learning analysis of their shop floor data through Acerta LinePulse. The best part? Reliance users can add context to the alerts based on their expertise and experience. This context gets sent back to LinePulse and improves the algorithm. We see a future in manufacturing where humans and machines work stronger together to achieve business outcomes. #qualitycontrol #qualitymanagement #qms #predictivequality

Today, we're excited to announce a partnership with ETQ , part of Hexagon Manufacturing Intelligence . Our combined solution adds the real-time AI-driven predictive analytics of Acerta LinePulse to the powerful workflows and compliance tools of the ETQ Reliance® quality management system (QMS). We designed this integration to leverage human expertise AND powerful AI to help manufacturers make faster decisions, reduce the risks and costs related to poor quality, and ensure the on-time delivery of high-quality products. We'll share more about how it works in the coming days!

What does your manufacturing tech stack look like? If you are using an ERP, MES, SCADA, and line-side SPC, you're collecting a lot of data in your plant already. Are these tools making an impact on your bottom line? What if you could put your data to work to help reduce costs in your plant? Predictive quality software works alongside your existing tools. It takes that same manufacturing data you're producing and uses it to reduce scrap and rework, solve problems fast, and reduce the costs of poor quality. #predictivequality #manufacturingtech #automotivemanufacturing

Metric
Company Name	Acerta	Ford Motor Company	German Autolabs	Tesla, Inc.
Symbol		F		TSLA
MSH ID	AI:ACERTA	COM:FORD	COM:GERMANAUTOLABS	COM:TESLA
Market	PRIVATE	STOCKS	PRIVATE	STOCKS
Sector	Technology	Consumer Cyclical	Technology	Consumer Cyclical
Industry	Automotive Manufacturing	Auto - Manufacturers	Logistics Technology	Auto - Manufacturers
Country	CA	US	DE	US
Stage
Employee Count		177K	17	140.47K
Website	acerta.ai	ford.com	germanautolabs.com	tesla.com
LinkedIn	acerta-systems-analytics	ford-motor-company	german-autolabs	tesla-motors
Founders

Metric
Market Cap	51.65B	839.59B
Enterprise Value
Monthly Web Traffic
Web Traffic Growth
Valuation
Raised Capital	4B

Metric
Revenue	176.19B	96.77B
Revenue (LTM)
Revenue (NTM)
Gross Profit	25.64B	17.66B
EBITDA	5.46B	13.56B
Operating Income	5.46B	8.89B
Net Income	4.35B	15.00B
EPS	1.09	4.73
Diluted EPS	1.08	4.30
Revenue 2022
Revenue 2023
Revenue 2024
Revenue 2025
Revenue 2026

Metric
Revenue Growth (LTM)
Revenue Growth (NTM)
Gross Profit Growth (LTM)
EBITDA Growth (LTM)
Net Income Growth (LTM)
14-Day Growth Score
28-Day Growth Score
90-Day Growth Score
365-Day Growth Score

Metric
Gross Profit Margin	0.12	0.18
Operating Profit Margin	0.03	0.09
EBITDA Margin	0.03	0.14
Net Profit Margin	0.02	0.15
Return on Equity	0.10	0.28
Return on Assets	0.02	0.14
Return on Capital Employed	0.03	0.11

ACER

AI:ACERTA

Acerta

Company Overview

Market Metrics

Financial Performance

Growth Metrics

Profitability Ratios

Valuation Multiples

Operational Metrics

Cash Flow Metrics

Balance Sheet Metrics

Efficiency Metrics

Metric
P/E Ratio	7.51	42.05
P/B Ratio	1.05	10.07
Revenue Multiple (LTM)
Revenue Multiple (NTM)
EBITDA Multiple (LTM)
EBITDA Multiple (NTM)
Price to Sales Ratio	0.32	8.92
EV Multiple	-4.54	65.59

Metric
Days Sales Outstanding	120.88	13.94
Days Payables Outstanding	67.82	66.58
Days Inventory Outstanding	43.18	75.12
Operating Cycle	173.93	90.10
Cash Conversion Cycle	112.13	21.10
Asset Turnover	0.65	0.91

Metric
Operating Cash Flow	14.92B	13.26B
Free Cash Flow	6.68B	4.36B
Cash Flow to Debt	0.10	2.62
Operating Cash Flow/Sales	0.08	0.14
Free Cash Flow Yield	0.12	0.01

Metric
Cash & Equivalents	24.86B	16.40B
Accounts Receivable	-7.45B	-586M
Inventory	15.65B	13.63B
Goodwill		253M
Debt to Capitalization	0.78	0.11
Debt to Assets	0.54	0.05
Current Ratio	1.21	1.73
Quick Ratio	1.01	1.40

Metric
Rule of 40 (LTM)
Rule of 40 (NTM)
Stock Comp to Revenue	0.00	0.02
R&D to Revenue		0.04
SG&A to Revenue