Founded Year

2020

Stage

Series A | Alive

Total Raised

$125M

Valuation

$0000 

Last Raised

$125M | 3 yrs ago

Revenue

$0000 

Mosaic Score
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

-11 points in the past 30 days

About Jasper

Jasper operates as an artificial intelligence (AI) content creation platform. The company's main services include the creation of on-brand AI-assisted content, language translation, and the generation of marketing campaigns. It is primarily used in the marketing and advertising industry. Jasper was formerly known as Proof Technologies. It was founded in 2020 and is based in Austin, Texas.

Headquarters Location

3001 Bee Caves Road Suite 100

Austin, Texas, 78746,

United States

512-262-9834

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Jasper's Product Videos

ESPs containing Jasper

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Enterprise Tech / Sales & Customer Service

The generative AI — sales & outreach market helps businesses maximize creativity and productivity in their sales and outreach efforts. These solutions leverage machine learning techniques to generate personalized sales content, such as email templates, scripts, and proposals, tailored to individual prospects or customers. The technology includes AI copywriting tools, real-time meeting guidance, an…

Jasper named as Outperformer among 15 other companies, including Microsoft, Salesforce, and Outreach.

Jasper's Products & Differentiators

    Underlying models

    Many Generative AI solutions are wrapper slapped on top of one model (Open AI's GPT3). Jasper is an application layer on top of multiple models including our own.

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Expert Collections containing Jasper

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Jasper is included in 10 Expert Collections, including HR Tech.

H

HR Tech

5,785 items

The HR tech collection includes software vendors that enable companies to develop, hire, manage, and pay their workforces. Focus areas include benefits, compensation, engagement, EORs & PEOs, HRIS & HRMS, learning & development, payroll, talent acquisition, and talent management.

U

Unicorns- Billion Dollar Startups

1,276 items

T

Targeted Marketing Tech

453 items

This Collection includes companies building technology that enables marketing teams to identify, reach, and engage with consumers seamlessly across channels.

D

Digital Content & Synthetic Media

2,287 items

The Synthetic Media collection includes companies that use artificial intelligence to generate, edit, or enable digital content under all forms, including images, videos, audio, and text, among others.

R

Retail Media Networks

467 items

Tech companies helping retailers build and operate retail media networks. Includes solutions like demand-side platforms, AI-generated content, digital shelf displays, and more.

A

AI 100 (All Winners 2018-2025)

100 items

Jasper Patents

Jasper has filed 14 patents.

The 3 most popular patent topics include:

  • computational linguistics
  • machine learning
  • natural language processing
patents chart

Application Date

Grant Date

Title

Related Topics

Status

2/14/2020

5/24/2022

Sugar substitutes, Vegetable oils, Food additives, Nutrition, Fatty acids

Grant

Application Date

2/14/2020

Grant Date

5/24/2022

Title

Related Topics

Sugar substitutes, Vegetable oils, Food additives, Nutrition, Fatty acids

Status

Grant

Latest Jasper News

Adapt Or Be Obsolete: Why Your Business Can’t Afford To Ignore AI

Jul 1, 2025

In boardrooms and break rooms alike, the conversation is shifting. It's no longer “Should we use AI?” but “How fast can we implement it before we fall behind?” Artificial intelligence (AI) is moving at lightning speed, transforming everything from customer service to legal review, logistics to lead generation. For business owners, the question isn't whether AI will change your industry. It already has. The real question is: Are you ready to change with it? The family-run firm I work with has been delivering professional staffing solutions for over 40 years. We've weathered economic downturns, navigated policy shifts and helped hundreds of clients scale their operations. But nothing, and I mean nothing, has impacted our internal workflows like AI. That's why we're building a platform that automates time-consuming bid and request for proposal (RFP) submissions. What used to take us days of repetitive work should soon take minutes, with fewer errors and more strategic output. And we're not alone. Just look around: • Morgan Stanley is using OpenAI's technology to arm their financial advisors with instant access to research and data, cutting hours of digging down to seconds of intelligent search. • Netflix uses AI to predict which thumbnails you'll click on, increasing engagement and retention. • Walmart is deploying AI in supply chain management, anticipating stock issues before they even happen. These aren't “tech companies.” They're smart companies that understand AI is the new electricity. It's not about replacing people. It's about removing friction, optimizing systems and letting humans do what we do best at work: solve, sell and scale. Yet I still meet founders who think AI is too complex, too cold or too risky to touch. The truth? Not adapting is the risk. Many of the most promising companies today aren't inventing brand-new ideas. They're simply rethinking how old ideas are executed using new tools. Consider legal tech startup Harvey AI, now adopted by firms like Allen & Overy , where approximately 3,500 lawyers use AI-summarized briefs in place of traditional contract reviews that could take the industry average of eight to 12 hours or more. This shift dramatically reduces review time without compromising compliance. Jasper AI, meanwhile, supports thousands of users , including small businesses, by generating website copy, emails and social media content that would have cost thousands to outsource through traditional marketing channels. The pace of AI is dizzying, yes, but that's exactly why you can't afford to sit still. Our team could've waited, watched others test the waters and hoped not to sink. But hope isn't a strategy. Speed is. So, whether you run a staffing firm, a restaurant, a law office or a logistics empire, ask yourself: • Which of my processes still rely on manual, repetitive steps? • What tools are available right now that could save me time or money? • Am I teaching my team to fear AI or to use it? At my firm, we're choosing to use it. Our AI project isn't just a shiny tech experiment. It's a business necessity, one that we hope will give us a competitive edge while improving service to our clients. So, how can you get started without a technical team or a huge financial budget? Step 1: Start with your pain points. Before shopping for AI tools, ask yourself: What slows me down the most? Is it writing emails? Scheduling meetings? Following up on unpaid invoices? Sorting through résumés? Once you isolate repetitive tasks, you can identify where AI can create leverage. A solo real estate agent might automate their listing descriptions. A financial planner could use AI to summarize complex market news into digestible insights for clients. A staffing firm (like mine) might automate form-filling, compliance audits or candidate outreach. Step 2: Use no-code AI tools. You don't need a developer to benefit from AI. Many platforms offer powerful no-code options that plug directly into your existing workflows. Want to build a customer support chatbot? There are also tools that make that possible without writing a single line of code. Need help cleaning spreadsheets or pulling insights from data? Certain AI tools can assist right inside your familiar software. Step 3: Test in one area, then scale. Don't try to overhaul your entire business overnight. Choose one area—say marketing, operations or admin—and run a small AI pilot. Measure the time saved. Track error reduction. Note client feedback. Then, expand slowly. Bring your team into the process, and let them see how AI helps, not replaces them. Change happens faster when people feel empowered, not threatened. Step 4: Reimagine your business model. The biggest gains come when you stop thinking of AI as just a tool and start thinking of it as a co-founder. If AI can reduce labor costs, can you serve more clients at lower prices? If AI can automate 80% of a service, can you now offer it on subscription? AI isn't just an efficiency play. It's a business model shift. It can allow businesses not just to save time but to change how they deliver value to clients. For my firm, what we once saw as a cost center (compliance paperwork) is now becoming a productized solution. Step 5: Stay curious, not comfortable. The AI landscape evolves weekly. New tools, plug-ins and capabilities emerge constantly. Set aside time monthly or even weekly to explore what's new. Attend virtual demos. Join the founder's Slack groups. Watch AI startup launches. Because while others sit back, waiting for the dust to settle, the forward-thinkers are already iterating on version 3.0. The future isn't slowing down. It's accelerating. If you're reading this wondering whether your company is moving fast enough, you're already behind, but it's not too late. You can catch up. You can reinvent. In the end, AI won't replace you. But a business using AI might. The companies that win in this next era won't be the biggest or oldest. They'll be the ones that learn fast, test boldly and adapt early. Just don't wait. Because in this era, the cost of inaction isn't just inefficiency, it's irrelevance. The information provided here is not investment, tax or financial advice. You should consult with a licensed professional for advice concerning your specific situation. Forbes Finance Council is an invitation-only organization for executives in successful accounting, financial planning and wealth management firms. Do I qualify?

Jasper Frequently Asked Questions (FAQ)

  • When was Jasper founded?

    Jasper was founded in 2020.

  • Where is Jasper's headquarters?

    Jasper's headquarters is located at 3001 Bee Caves Road, Austin.

  • What is Jasper's latest funding round?

    Jasper's latest funding round is Series A.

  • How much did Jasper raise?

    Jasper raised a total of $125M.

  • Who are the investors of Jasper?

    Investors of Jasper include Foundation Capital, HubSpot Ventures, Bessemer Venture Partners, Insight Partners, Institutional Venture Partners and 9 more.

  • Who are Jasper's competitors?

    Competitors of Jasper include Grammarly, Granola, Optiversal, Wrtn Technologies, Novus and 7 more.

  • What products does Jasper offer?

    Jasper's products include Underlying models and 3 more.

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