NLP Services – Turn Language Data Into Strategic Insights
Accelerate your data capabilities with Toptal’s Natural Language Processing Services. Our specialists implement tailored NLP solutions that transform complex language inputs into actionable business intelligence—from intelligent document processing and sentiment analysis to multilingual text analytics and speech recognition.
Transform language into insights with Toptal’s Natural Language Processing Services. From sentiment analysis to speech recognition, our expertise in natural language processing enables smarter business decisions and enhanced customer experiences.
Sentiment Analysis
Understand and classify the emotions and opinions behind customer feedback to derive actionable insights and advance customer satisfaction.
Entity Recognition
Convert raw text into structured, meaningful data for faster and more informed decision making.
Speech Recognition
Convert human speech into text seamlessly, enabling everything from virtual assistants to automated transcription.
Language Translation
Bridge language barriers with real-time, high-quality translation that facilitates global communication and business operations.
Semantic Analysis
Interpret the meaning and intent behind words to enhance chatbots and virtual assistants, improve search, or analyze customer feedback.
Machine Learning Model Development
Build custom AI solutions that leverage your data to drive faster decisions and measurable business impact.
Natural Language Understanding
Enhance customer-facing applications and virtual assistants with natural language understanding, enabling more intuitive and human-like interactions.
Natural Language Generation
Generate high-quality content and reports with natural language generation tools that boost efficiency and consistency.
Pretrained Language Models
Leverage pretrained models for rapid deployment and minimal downtime migrations, ensuring quick integration into your workflows.
Custom Content Classification
Improve operational efficiency by implementing tailored content classification systems for better document processing and organization.
Speech Tagging
Automate speech tagging to streamline NLP-enhanced tasks like intelligent search, data analysis, virtual assistants, and conversational interfaces.
Customer Feedback Analysis
Transform customer feedback into actionable insights with our NLP-based tools, enhancing customer service and satisfaction.
Looking for guidance about the perfect NLP service for your needs?
Our natural language processing experts, with experience at leading companies, develop and deploy tailored solutions to meet your business needs and unique industry demands for sustainable results and long-term success.
1
Discover
A leader from our team works with you to understand your business challenges, pain points, and strategic goals to uncover new opportunities and identify the options to reach your objectives.
2
Define
Toptal leaders collaborate with your team to define your specific goals and service needs, evaluating multiple approaches and aligning requirements with your strategic objectives to define the best solution.
3
Develop
We will create your unique project timeline, process, and initial proposals, whether you’re developing sophisticated text analysis tools or enhancing language understanding capabilities for various applications.
4
Deploy
Toptal will get to work, tracking quality assurance, handling project management, and maintaining the delivery schedule.
As Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 100 manufacturers.As Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 100 manufacturers.
Previously At
CUSTOMIZED SOLUTIONS
NLP Solutions That Deliver Value
Toptal delivers leading NLP services through its diverse talent network and flexible delivery models. We implement the right skills at each project phase, blending expertise from various roles for seamless execution.
End-to-End Delivery by Toptal
On-demand Talent and Teams
End-to-End Delivery by Toptal
Comprehensive project delivery, tailored to your specific requirements.
As Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 100 manufacturers.
Rachael serves as a Delivery Manager at Toptal with a focus on leading diverse global teams in developing innovative solutions for our clients. She works across multiple disciplines, including technology, marketing, and management consulting. Rachael specializes in managing people and client relationships, process optimization, and driving teams toward optimal business outcomes.
With an engineering degree, two master's degrees, including an MBA, and the ability to speak four languages, Adrian has delivered as a product manager in North America, Latin America, and Europe on multiple innovation initiatives, including software development, AI strategy, project delivery, blockchain, geolocation, and Agile implementation. Adrian has extensive experience in technical and business roles and has worked in several industries: telecom, cloud native, supply chain, retail, fintech, and IT.
Along with earning a PhD in computer science and engineering, Dilip has decades of experience in the industry. Since 2015, he's been focusing on projects related to machine learning and deep learning. Dilip has an eye for detail which helps in working closely with domain scientists and improving the accuracy and reliability of models for fine-grained image classification, object detection and segmentation, natural language processing, time-series forecasting, and generative AI.
Abhimanyu is a machine learning expert with 19 years of experience creating predictive solutions for business and scientific applications. He’s a cross-functional technology leader, experienced in building teams and working with C-level executives. Abhimanyu has a proven technical background in computer science and software engineering with expertise in high-performance computing, big data, algorithms, databases, and distributed systems.
David has extensive experience in building machine learning and deep learning (DL) solutions at top companies, including Apple, Google, and Facebook, unicorn startups, and academia, as he has a PhD from Carnegie Mellon U. He holds multiple patents in DL-based medical imaging tech and large-scale AI systems. David has grown an AI team to 60+ as the director and tech lead.
With a Ph.D. in physics, a background in mathematics, and 13 years of experience modeling real-world data, Teresa has the skills to fulfill any data science role. Teresa enjoys working on the whole pipeline from data cleaning and analytics to a final predictive model, especially using machine learning models.
Dragos is a passionate machine learning engineer with five years of experience in artificial intelligence. He is well-grounded in natural language processing, Python, and SQL. Dragos has an excellent knowledge of deep learning frameworks such as TensorFlow and PyTorch.
Previously at
On-demand Talent and Teams
20,000+ vetted professionals, ready to deploy individually or in teams.
Kristine is a product director with over a decade of experience. She garnered high ratings on the App Store and increased the NPS score by over 20% for a major car rental company. That app became the #1 car rental app of 2019. She has successfully launched or overhauled over ten products, both B2B and B2C. Her previous nine years of expertise includes project management, sourcing, operations, and research. Kristine excels at leading diverse teams through challenging builds and pivots.
Filip is a machine learning engineer with several years of professional experience. He's worked on large-scale problems at Amazon Web Services as a software developer and built natural language processing models as a research associate at the University of Zagreb. Filip's main interests are machine learning and natural language processing, with an emphasis on building text classification models.
Joao is an AI/ML engineer with more than 14 years of experience at Fortune 100 companies, like Procter & Gamble and Hearst, and startups in the healthcare, energy, and finance industries. Joao holds a master's degree in computer engineering from the University of Porto and has multiple certifications in ML and deep learning.
"Bilal is an experienced data scientist with solid knowledge of machine learning, data analysis, and visualization. He offers six years of professional experience in data science, working on projects related to building and deploying machine learning models, extracting insights from data, and managing data. Bilal is passionate about working with teams whose vision aligns with his values and specializations.
Denis is a senior full-stack AI engineer and data scientist, highly skilled in modern generative tech (GPT-4, Midjourney, and more), machine learning, ETL pipelines, data analysis, mathematical modeling, big data, and MLOps. He has a PhD in mathematics, and his data science expertise includes probabilistic risk modeling, revenue forecasting, geospatial data analysis, handwriting recognition, anomaly detection in time series, data engineering, and team leading.
Simone is a machine learning scientist and engineer with experience in academia and enterprises, including Microsoft and Huawei. He likes to work at the intersection of deep machine learning, NLP, and information retrieval. Simone also loves to work on exploration analysis and building theoretically sound machine learning pipelines ready for production. He especially enjoys building web products.
Matias is a machine learning engineer who's delivered creative solutions for social impact projects. His past experience includes working at IBM Research as a machine learning engineer (collaborating with IBM's Yorktown Heights research lab), co-founding a startup that develops research-backed cognitive games for the elderly (which was a provider for a Uruguayan government program), and working on several projects that use machine learning to innovate in the healthcare sector.
Since 2014, Matthew has been working professionally in the fields he loves, software and data—culminating in him co-founding the Rubota corporation in 2017. Before that, he spent the past decade at Cornell University conducting scientific research specifically in statistical and biological physics. All in all, Matthew is an engaging, intense communicator with a passion for knowledge and understanding.
Joslyn is a seasoned data practitioner with demonstrated experience across multiple industries, including technology consulting and customer service. With her academic background in applied statistics and a skill set in machine learning, data analytics, Python, and SQL, Joslyn has delivered numerous projects with positive business impacts on customers.
Previously at
Looking for guidance about the perfect NLP service for your needs?
Having previously worked with these leading global companies, our talent brings valuable insights and expertise to deliver world-class outcomes.
WHY ORGANIZATIONS CHOOSE US
Toptal in Action
Discover the cutting-edge benefits our clients enjoy from the global Toptal network.
Authentia partners with Toptal to revolutionize gem tracing with a first-of-its-kind blockchain solution.
Challenge: Bruno Scarselli, a third-generation diamond dealer, needed to create a platform that could issue cryptographic titles of authenticity, origin, and ownership for gems. He was unsure of the technical requirements, particularly around blockchain development, and faced a complex path to execution.
Solution: The team followed a rigorous project management timeline focused on rapidly delivering Scarselli’s most needed features, delivering a working MVP in just 14 weeks. The platform leverages a React/Node.js infrastructure to support an Ethereum-based blockchain protocol. The system uses a robust AWS infrastructure, including IAM, S3, CloudFront, Lambda, Aurora Serverless, KMS, SES, CloudFormation, EKS, and EC2 to ensure scalable, secure, and efficient service delivery.
Outcome: Thanks to the team’s rapid execution, Scarselli attracted his first 50 diamond-industry customers mere months after ideating on his product vision. For technology startups, this rapid speed to market is critical for both short- and long-term success.
RELATED CAPABILITIES
AWS Cloud
AWS Lambda
Blockchain
AWS IAM
Cloud Architecture
Cloud Engineering
Ethereum
React.js
Solidity
This collaboration has not only streamlined our operations, but partnering with Toptal has given life to entirely new industry standards for transparency.
Bruno Scarselli
Managing Partner at Scarselli Diamonds Founder
Toptal Ranked #1 Most Reliable Professional Services Company in America
Newsweek and Statista’s rankings were based on an independent survey of more than 2,400 decision-makers at Fortune 500s.
Newsweek's Most Reliable Companies in America 2026 ranking. Toptal is ranked #11, the highest-ranked professional services firm.
Read the latest articles and resources to keep you current on emerging trends in sentiment analysis, machine translation, speech recognition, and more.
Generative interfaces can unlock insights at unprecedented speeds. A Toptal strategy consulting expert with experience at Deloitte and AWS explains how companies of all sizes can use Gen AI for sales, development, and customer support.
Raghav is a strategy consultant who enables digital and AI transformation at leading enterprises and optimizes go-to-market, sales, and pricing strategies. He has worked with Salesforce, VMware, J.P. Morgan, Health Care Service Corporation, Deloitte, and dozens of SaaS startups.
CEO, Technology Services
