The 15 Best Natural Language Processing Companies in 2024
In the field of artificial intelligence, natural language processing (NLP) programs offer humans the opportunity to efficiently interact with complex computer algorithms. The right NLP company will help guide you to the products that fit your business needs and support your employees’ productivity. There are a lot of NLP companies out there, but we’ve identified a few of our favorites to help you in your search for a development partner.
Top 15 Natural Language Processing Companies in 2024
The best natural language processing companies currently taking on new clients all have a few things in common. Their developers are trustworthy and experienced, they make the development of high-quality products a priority, and they’re excited by new developments in the AI field.1. Toptal
Toptal holds the #1 spot on our list, and for good reason; their high-caliber talent pool is unmatched. Each of their developers goes through rigorous testing before being onboarded (less than 3% of applicant developers make the cut). Their flexible and scalable service covers a wide range of projects. In addition, they offer a no-risk trial period to new clients to ensure customer satisfaction before taking on bigger tasks.
Key points:
- Enjoy a risk-free trial with expertly-matched talent for up to five days
- Over 60,000 projects completed for upwards of 25,000 satisfied clients
- Trustpilot rating of 4.8 out of 5
“We had a great experience with Toptal. They paired us with the perfect developer for our application and made the process very easy… We definitely recommend Toptal for finding high quality talent quickly and seamlessly.” -Ryan Morrisey, CTO Applied Business Technologies, LLC
2. Kustomer
You might be in the market to hire language processing companies as a merchandise vendor. As the preferred NLP vendor of well-known brands, such as Ring and UNTUCKit, Kustomer should make your short list. They specialize in chatbots that can enhance customer engagement on a website. Having an effective bot that can answer questions and improve the customer experience can drive your sales pipeline.
Key points:
- Flexible seating pricing, so you can add user seats to your subscription during a busy season and delete some when business is slower
- Annual contracts are paid on a month-to-month basis, but they can work with you on a payment plan, if needed
3. Iodine Software
Merchandise-based organizations are not the only ones looking to hire natural language processing software development companies; hospitals are beginning to look for them, too. One of Iodine Software’s biggest recent claims to fame is CognitiveML, a comprehensive AI program involving NLP that helps healthcare providers pull deeper insights from clinical data. Iodine Software remains committed to helping physicians make smarter, better-informed decisions for their patients.
Key points:
- Capable of taking on large clients, such as The University of Kansas Health System and Unity Health
- Additional NLP-related projects may help stem revenue leakage within hospitals
- While beneficial for those in healthcare, they are currently less inclined to take on clients in other fields
4. OpenAI
If you’re looking to find natural language processing software development companies, you’re bound to come across OpenAI. When ChatGPT hit the wider technological market, it changed the way many saw AI. Today, they proudly boast that 92% of the business leaders in the Fortune 500 already utilize OpenAI software. Why doesn’t OpenAI rank higher on our list? A low Trustpilot rating indicates consistently poor customer service experiences for those businesses further off of Wall Street.
Key points:
- Free-to-use features, such as basic ChatGPT, allow newer users to experiment with NLP
- Enterprises can have customized ChatGPT platforms that suit individual business needs
5. Microsoft Research
It’s difficult to find natural language processing companies with as well-supported backgrounds as Microsoft Research. As a subset of Microsoft, this group has had the capacity to take on incredibly large projects. Like many other NLP companies, their main mission is to develop programs that allow humans to speak to computers as if they were any other coworker. Some of their token projects have included language translation and sentiment analysis.
Key points:
- A company with reach across the United States and the globe, thanks to the support of their parent company
- Easy integration with other Microsoft products
- Comparatively open transparency regarding training data and potential resulting biases in their programs
6. Moveworks
While the improvement of customer interactions can be important, your own employees can also benefit from adaptation and integration of AI tools. Using their development projects, workers can use real human language when asking computers to help automate tasks, pull data, and more. Businesses like Palo Alto Networks and Broadcom already trust Moveworks with creating AI tools for their employees.
Key points:
- Potential integration into a number of different workflows, including IT and finance
- A proud history of integration with other common internal workflow program packages, such as Workday and Salesforce
“We spent five years trying to enable employees to self-service support, but without much traction. Moveworks is the first solution that actually worked…” -Amith Nair, CIO Vituity
7. Kensho Technologies
Many natural language processing software development companies claim to make products that help companies make informed decisions, but few are as transparent about how that happens as Kensho Technologies. The team is straightforward about how their products are trained through simple data input and annotation. They also offer a free trial of several services, so you can fully understand how an NLP can operate within your business.
Key points:
- Particular appeal to financial institutions with quantitative investment insight
- Classify, Kensho Technologies’ bread-and-butter NLP tool, supports any programming language capable of making a REST API call, including Python, R, Rust, and more
8. EliseAI
The team at EliseAI is determined to develop tools that help realtors and clients form meaningful connections from initial tours to closed deals. Their NLP-supported chatbot tools can communicate in a variety of modes, such as SMS text message and online direct message. AI-powered Customer Relationship Management (CRM) tools can help human staff prioritize and focus on essential interactions with tenants. What’s more, agents can take advantage of centralized calendars and information pools when communicating with prospective clients in order to quickly and accurately answer questions.
Key points:
- Reminder tools that communicate with renters or clients at set intervals regarding payments, showings, etc
- Workflow automation tools help improve efficiency when receiving and handling maintenance requests from tenants
9. Smartling
Research has indicated that 76% of consumers prefer to purchase products that have information listed in their own language. It’s essential, then, that online brands have effective translation services for all of their customers. Tackling the immense challenge of language translation is Smartling’s main claim to fame. They also offer internal integrations of their products that allow employees using complex marketing, CMS, or code repository jargon to communicate with ease.
Key points:
- Real-time translation tools let your writers see how their text will look in other languages on your organization’s live webpages
- Only 5% of translators who apply to work with Smartling make the cut
- Open to working with any type of enterprise who has a need for translation services
10. MaestroQA
Understanding how your business’ frontline experience is going can push you in the right direction when creating backend support. The tools created by MaestroQA’s developers use data pulled from your own customer support scenarios to help you create actionable insights that can improve the overall quality of your customer service offerings. With the information gleaned from the metrics reports pulled, you can both personalize the feedback given to your customer support staff and get an overall feel for how your frontline interactions are being handled.
Key points:
- NLP-based programs can assist your human workers with answering customer questions and handling issues
- Special attention paid to security – MaestroQA programs are compliant with HIPAA, CCPA, GDPR, and more
11. Deepgram
Language translation involves more than text-to-text changes. Deepgram is a digital technology company that focuses their efforts on the digital transformations of speech-to-text and text-to-speech. Each of their NLP-based products is designed to improve the productivity of your business with chat-bots and responsive messaging services that sound like real human speech. The team is proud of their low latency times that get your customers the support they need quickly and accurately.
Key points:
- Highly scalable models that can grow with your business
- Text-to-speech services let you select the best voice to represent your brand
- Customizable speech-to-text products let you train chatbots handling complex language to provide highly accurate responses and predictions unique to your industry
12. PicnicHealth
AI and patient care go hand in hand at PicnicHealth. PicnicAI, PicnicHealth’s core AI software, let healthcare providers pool and pull from patient records in a matter of minutes. For patients with longer medical histories, PicnicAI is capable of locating records across an individual’s entire story of care, allowing current physicians to make the best data-driven decisions. Their programs function across all healthcare sites in the United States and boast a 99% retrieval success rate.
Key points:
- Originally trained using over 350 million client annotations from more than 100,000 different care sites
- Higher accuracy rates of entity extraction than other popular NLP tools, such as GPT-4
- Limited functionality outside of the United States
13. Textio
The team at Textio believe that your HR team deserves just as robust of AI support as the rest of your staff. Projects built by Textio can help automate the hiring process by writing inclusive job postings that target the right talent for the job. You can even ask a program to read a pre-written job description and highlight potentially biased or negative language. Once hired, the team at Textio can provide you with AI-supported coaching tools that keep employees performing at their best.
Key points:
- Customized brand guidance lets Textio’s reading tools highlight pre-determined content unique to your company
- Readily accepts both six-month contract projects and longer term partnerships on annual subscription bases
14. AlphaSense
The developers at AlphaSense aim to use innovative technology that helps business leaders make informed decisions. Their NLP-based tools help individuals at management levels pull resources and data efficiently. Users can pull market research from virtually any industry with ease. Monitoring functionality built into their products also creates alerts when changes to industry or company data occur.
Key points:
- Received awards from TrustRadius and G2 for reliability and overall positive user experience
- End-to-end business analytic support that draws from information not readily available using traditional online searching, such as expert calls and conference talks
“AlphaSense is a kind of magic and a fantastic time-saver for any analyst or investor. The number of uses is almost unlimited. After you leverage AlphaSense, you’ll never again use Google to find financial data. It’s a real game-changer.” -Oliver Allot, Head of IR & Data Intelligence; Wendel
15. Raw Shorts
Sometimes, the best story for your brand is told visually. While you may understand this, you might not know what your next video project should be. The developers at Metlang are there to help bridge the gap. Using their tools, users can upload a video script or products spreadsheet and then watch as their program finds and pulls media assets that match their vision. Once an animated video has been created, users can customize the film until it looks just right. All of their media libraries are royalty free, so you don’t need to worry about accidentally pulling your organization into a creative rights lawsuit.
Key points:
- Users on a subscription-based service can create videos in high-quality 1080p
- Their available premium music library lets you add the perfect audio backdrops to your films
Natural Language Processing Company Hiring Guide
As you can see, no two NLP companies are the same. This fact alone means hiring natural language processing companies can be a challenge.
NLP as a subset of the AI industry has been booming. Global market share for NLP alone is expected to rise above $161 billion by 2029. There’s no shortage of companies out there that support some form of NLP in their products. But what makes choosing the right development team so difficult?
Part of the trouble arises from the fact that NLPs rarely exist and function on their own. They are often paired with large language models (LLMs) to spit out content that is both accurate and appealing to read and/or hear. In addition, many organizations need NLPs that can learn from, and interact with, previously existing data sets and predictive models.
Because of this, hiring a company to create NLP-based tools doesn’t only require experience with NLPs. An effective development team will also understand how to integrate NLP with other programs and products.
Deciding how to hire your next NLP expert is the first step in the process. For some, it may be desirable to hire a full time developer completely dedicated to NLP work. However, you may not wish to keep this developer on staff once a project is complete. You may not even be sure that the project you have in your mind is the best fit for your business. Hiring an individual within your organization might be a poor choice in the long run.
Hiring a natural language processing company can help you get started on your dream development project without worrying whether you’ll be able to keep new employees in the long term. Many companies offer subscription-based contracts with set end terminations, so you don’t need to worry about paying the same company a decade later.
Choosing the right development company is key to your project’s success. Fully grasping the role of a natural language processing company can help you forge a great partnership that brings your business to the next level.
What is Natural Language Processing?
Successfully hiring the right natural language processing company can heavily depend on understanding what types of programs they work with.
Natural language processing is a subset of the larger artificial intelligence (AI) field. Machines utilized in this field take in data on human interpersonal communication and use it to help them and their human operators work better together. Many NLP algorithms are fed vast quantities of organic communication content in order to develop patterns and language models related to human communication.
NLPs are often confused with LLMs. The two types of programs often work together, but each plays a distinct role in larger AI projects.
| Natural Language Processing | Large Language Models |
|---|---|
| Excels at pulling information from large bodies of data | Excel at generating new content based on prior information |
| Built on explicitly defined rules | Built on trends pulled from data |
| Usually rely on manual training using smaller, more localized data sets | Usually rely on automated training from vast data pools |
What do Natural Language Processing Companies Do?
You already know that the AI industry is full of innovative companies, but what does a natural language processing company do?
Answering the question of “What is a natural language processing company?” is complex because companies that offer this type of service usually offer a more robust AI integration. NLP companies use AI powered by machine learning (ML) to create products and programs that can facilitate simpler communication between machines and humans. NLPs often make use of organic-sounding language to foster dialogue with users.
Precisely what a natural language processing company can do for you depends on what it is that needs doing. No matter what your project might look like, your chosen NLP company will want to train your program to give you the right results using prior data both within your organization and your wider industry. This all but guarantees that outputs are specifically tailored to your goals.
The top natural language processing companies will also often offer to act as a deployment company for client businesses. In this role, they orchestrate and monitor the rollout of their AI products, ensuring that everything works well and that users are able to take full advantage of all features available to them.
“Computers seem advanced because they can do a lot of actions in a short period of time. However, in a lot of ways, computers are quite daft. They need the information to be structured in specific ways to build upon it. For natural language data, that’s where NLP comes in. It takes messy data (and natural language can be very messy) and processes it into something that computers can work with.” -Dustin Coates, GTM and Product Manager; Algolia
Why Hire a Natural Language Processing Company?
The benefits of hiring natural language processing companies are numerous. Organizations can cut back on expenses by outsourcing the majority of their AI work. Scalability is usually simpler when the business in charge of your NL-based products is ready to do so at launch day.
Key Benefits of Hiring a Natural Language Processing Company
There are a few key benefits of outsourcing natural language processing services.
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Lower costs. Outsourced projects are often cheaper than adding associated expenses to internal business processes.
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Easier to scale. Most NLP companies have experience scaling products as needed to fit business demand.
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Added support. Your business can usually receive help with your products outside of standard business hours.
How to Choose the Right Natural Language Processing Company
Knowing how to choose the right natural language processing company can be just as important as knowing that you need NLP-related work done at all.
In order to hire the right natural language processing company, you should first determine precisely what kind of product you are looking for. Do you want a chatbot that pops up every time a customer opens your website? Are you looking for help automating your online help desk? Do you just want something to pull data for you without needing to learn a whole new coding language to do so?
Once you know what you want your end product to be, seek out companies that have successfully developed a similar tool in the past. You may also wish to favor development companies that have worked with organizations in your industry and are already familiar with the demands your own business may face.
Once you have your short list set, it’s time to reach out to your favorite NLP companies. Some offer free demos or free trials. Opportunities like this allow you to see exactly how products created by these companies could fit within your current operations.
If you choose a company that dedicates a developer or development team to your business, take some time getting to know them. Learn more about their backgrounds and capabilities. Make sure that they not only excel at what they do, but that they are also good culture fits within your larger organization.
Finally, you should figure out how to hire your ideal NLP company on your budget. Pie-in-the-sky projects will likely require a more open checkbook. However, there is a higher likelihood that you will receive more individualized attention from your development team.
Smaller budgets can still achieve a lot, too. If you’re uncertain about what level of financial investment you can dedicate to an NLP company, consider more generic, subscription-based services. Companies that operate in this mode can still provide many AI solutions at lower operating costs.
Questions to Ask Before Hiring a Natural Language Processing Company
When getting to know a natural language processing company, there are a few questions you should ask at every initial interest meeting.
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What kinds of projects have you done in the past?
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Here are some of our business goals. How can your products support them?
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What kind of support will I receive? Will I be assigned a developer, or will I need to query a larger backend team with questions?
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How long do you maintain operational support?
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What is the usual deployment schedule for your products?
How Much Do Natural Language Processing Services Cost?
Many natural language processing companies charge monthly or annual subscriptions for the use of their services and/or products. The precise costs incurred can vary widely depending on your exact needs. Simple projects from bigger names like Kustomer can cost as low as $89 per month. More complex or customizable endeavors might run at significantly higher price tags.
How to Find the Best Natural Language Processing Company for Hire
Wondering where to find natural language processing companies for hire? The best sites to hire natural language processing companies from are selective in their hiring process and uncompromising in the quality of their candidates’ work. When looking to find natural language processing companies, be sure that the team members you take on fully understand your business goals and are prepared to help you reach them.
Natural language processing companies can offer AI solutions that drive growth for your business and provide support where it’s needed most. When choosing a company for your NLP services, make sure you select an organization whose team members are committed to only providing high-quality products and unparalleled service.