NLP Development Companies
NLP teams build systems that read, classify and extract meaning from text and speech — from ticket routing to contract analysis and semantic search. Compare vetted vendors and request quotes.
Popular Countries for NLP
- Min. project
- $10k+
Odesa · Since 2022 · 11-50 employees
We help accountants, owners, and managers bring order to accounting, data, and processes. From transitioning to BAS to full support.
- Min. project
- $40+
- Hourly rate
- $30–$50/hr
Jaipur · Since 2019 · 51-200 employees
MSM Coretech is a trusted IT development company with over 6 years of experience, specializing in a variety of digital solutions.
- Min. project
- $10k+
- Hourly rate
- $25–$50/hr
We will help your potential customers find you with contextual and targeted advertising, create a cool website and fill social networks with individual creatives.Day after day, in…
- Min. project
- $100+
- Min. project
- $10k+
Since 2009 · 11-50 employees
Sydney · Since 2021 · 11-50 employees
Empowering Businesses Through Intelligent Software.
Since 2021 · 1-10 employees
- Min. project
- $400+
- Hourly rate
- $20+/hr
Rotterdam · Since 2025 · 1-10 employees
Samen bouwen aan een inclusieve digitale wereld.
- Min. project
- €595+
Antwerpen · Since 2017 · 51-200 employees
Transformation with Purpose, Innovation with Impact.
- Min. project
- €50k+
- Hourly rate
- €50–€99/hr
Our company is engaged in development and support of large projects on the Internet, development of business solutions, Internet marketing, design. The main directions of our activ…
- Min. project
- $3k+
Since 2021 · 51-200 employees
- Hourly rate
- $30–$46/hr
Specialized consulting company for the application of Large Language Models (LLM) to business automation. We create extraordinary products using world-class language-based artifici…
- Min. project
- $100+
- Min. project
- $10k+
Our team interested in projects developing Apple (Mac, iOS) mobile, desktop and cloud applications using skills with Objective-C, Cocoa, Foundation and C/C++.We can: Browser plugin…
Tel Aviv · Since 2021 · 11-50 employees
Enterprise IT & Data Solutions, Delivered Seamlessly
- Hourly rate
- $9+/hr
Sunnyvale · Since 2011 · 1-10 employees
Secure AI platforms, RAG systems, and agent workflows.
- Min. project
- $25k+
- Hourly rate
- $150–$200/hr
Sandton · Since 2009 · 51-200 employees
Driving the Future of Business with Agentic AI Solutions
- Min. project
- $10k+
- Hourly rate
- $25–$75/hr
Since 2016, we''ve been helping clients change, save resources and earn more. We develop mobile applications, web services, digital systems and assemble teams.
- Min. project
- $30k+
- Min. project
- $150+
- Hourly rate
- $50–$100/hr
IOTA.UZ is a leading software development company for customized business solutions. Founded in 2022, IOTA.UZ is a fast-growing software development agency that provides cutting-ed…
- Min. project
- $3k+
- Min. project
- $3k+
- Min. project
- $10k+
Watford · Since 1999 · 11-50 employees
Move over to the fast lane with ConeRQ
- Min. project
- $10k+
Jaipur · Since 2009
"PTI WebTech a leading software development company in india. It offers range of services including design & development, E-commerce development, Mobile app development, Technolog…
- Min. project
- $120+
- Hourly rate
- $40–$100/hr
Since 2025 · 1-10 employees
Sydney · Since 2008 · 11-50 employees
Web Design and Software Development Agency
Before you shortlist anyone
All calculatorsThe short answer
1,178 NLP companies are listed. 61% publish a minimum project budget; the median floor is $10k. Most work starts in the $3–10k range. Median published rate is $25/hr across 69 companies.
Best supplied: United States (182) · India (131) · Ukraine (59)
Recalculated 2026-10-20 from live profiles.
What it costs, by country
Each cell counts companies whose published minimum project budget falls in that band. Only countries with at least 5 listed companies appear.
| Country | under $3k | $3–10k | $10–20k | $20–30k | $30k+ | Median rate |
|---|---|---|---|---|---|---|
| United States182Widest choice | 4 | 28 | 23 | 16 | 55 | $35/hr |
| India131 | 1 | 22 | 13 | 13 | 19 | $18/hr |
| Ukraine59 | — | 14 | 5 | 10 | 4 | — |
| Germany31 | — | 2 | — | 5 | 1 | — |
| United Kingdom30 | — | 4 | 4 | 4 | 9 | — |
| Netherlands28 | — | 4 | 4 | 4 | 10 | — |
| Poland27 | — | 4 | 4 | 5 | 6 | — |
| Canada9 | 1 | — | — | — | 3 | — |
| Armenia9 | — | 3 | 2 | — | — | — |
| Australia8 | 1 | 1 | — | 3 | — | — |
| Romania7 | — | 2 | 1 | — | — | — |
| Israel5 | — | 2 | — | — | — | — |
How this table is built
- Figures are minimum project budgets companies publish on their own profiles — the floor below which they decline work, not the price of a finished project.
- USD only. Companies quote in six currencies and averaging across them produces a number nobody charges.
- Budgets outside $300–$2,000,000 and rates outside $5–$500/hr are dropped as data-entry errors.
- A country needs 5 listed companies for a row, and 5 published rates before a median rate is shown.
What will your budget reach?
Move the slider. Every figure below is a count of companies whose published minimum project budget sits at or under that amount.
240 of 719 companies (33%) take projects at this size.
Where the entry thresholds sit
- under $3k
- 21
- $3–10k
- 219
- $10–20k
- 163
- $20–30k
- 137
- $30k+
- 179
Goes furthest in United States — 32 companies
This says who will engage, not what your scope should cost. A budget that reaches most of the market still buys very different things depending on what you are building.
Who is focused, and who has proved it
Horizontal: how concentrated a company is on NLP. Vertical: how much checkable evidence stands behind it. 60 of 1178 companies are plotted — the rest have fewer than 2 evidence signals, so placing them would be guesswork.
- Big Drop IncLeaders
- FueledLeaders
- The Digital EmbassyLeaders
- Vergani&GascoLeaders
- IntellectsoftLeaders
- moodleyLeaders
How a company is placed
- Focus is the inverse of how many categories a company claims, blended with the share of its portfolio tagged with this one. A firm listing three technologies is concentrated; a firm listing forty also appears here.
- Proven delivery adds published reviews (to 20), portfolio projects (to 25), Ahrefs Domain Rating (to 60) and years listed (to 10). Each is capped so no single signal carries a company to the top.
- Positions are relative to the other companies on this page: the median company sits at the centre of each axis, so a quadrant boundary means "ahead of half the companies listed here". Raw scores are in each bubble's tooltip.
- Deliberately excluded: the star rating, which sits in too narrow a band to separate anyone; the editorial rank, which is a hand-assigned sort weight; and paid verification, which does not move anything on this chart.
- Leaders:
- Concentrated on this work and with the record to show for it.
- Specialists:
- This is most of what they do, but the public evidence is still thin.
- Established generalists:
- A substantial track record, spread across many categories.
- Emerging:
- Building both focus and evidence.
Customer Reviews about NLP
Anadea
WeTarget
Real professionals! Absolutely recommend WeTarget Agency.
Futuro Studio
Great team!
What NLP teams deliver
Natural language processing is the older, narrower sibling of generative AI, and for high-volume structured tasks it is still the better answer: a small classifier costs a fraction of a large model per document and can be audited far more easily.
- Classification and routing. Tickets, emails and documents sorted by topic, urgency, language or intent.
- Entity and relation extraction. Parties, dates, amounts and clauses pulled out of contracts, invoices and reports.
- Semantic search. Embedding-based retrieval over a corpus, usually combined with keyword search for precision.
- Sentiment and intent analysis. Reviews, support conversations and social listening, tuned to your domain vocabulary.
- Speech. Transcription, diarisation and voice interfaces, including for languages with limited training data.
What to check before you commit
- Domain vocabulary: general-purpose models degrade on legal, medical and industrial jargon unless adapted.
- Language coverage measured on your data, not on a public benchmark.
- Annotation plan: who labels, to what guidelines, and how inter-annotator agreement is checked.
- Cost per document at your volume, since this is usually where a small model beats a large one decisively.
- Explainability, if the output feeds a decision that has to be justified to a regulator or a customer.
Portfolio Projects
Frequently Asked Questions
Is NLP still relevant now that LLMs exist?
What does an NLP project cost?
How accurate is entity extraction?
Can NLP work on languages other than English?
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