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Our natural language processing services

AI CONSULTING

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DATA SCIENCE

Extract actionable insights from your data to drive smarter decisions.

COMPUTER VISION

Enable machines to see, recognize, and act on visual input.

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Build AI apps that create text, images, video, and more.

AI AUTOMATION

Automate repetitive tasks using intelligent, self-improving AI workflows.

AI engineers

Tap into expert guidance to solve technical challenges alongside your in-house team.

CUSTOM AI DEVELOPMENT

Design and deploy AI systems tailored to your business needs.

MACHINE LEARNING DEVELOPMENT

Train predictive models that learn and improve from your data.

Why businesses need NLP services

Most AI projects fail. By most estimates (and in our experience), anywhere from 70-85% of AI initiatives never deliver real ROI. NLP is a significant part of that. The main reason for this is that businesses know they need NLP, so they rush into it with generic tools or half-baked custom builds that ignore the most critical factors: data quality, use case fit, model explainability, and scalability. Our NLP experts come in to protect you from that.
Faster time to value
You don’t need months of experimentation to see results. We design and deploy NLP solutions after first aligning them to your goals, use cases, and tech stack so you can start seeing ROI immediately.
Higher model accuracy
Off-the-shelf models tend to misinterpret your data. We build and fine-tune models on your domain-specific language, which leads to sharper intent detection, fewer errors, and more reliable automation across all your critical workflows.
Lower long-term costs
Bad NLP builds are expensive to fix. We use scalable, modular architecture and clean code so that your solution is easy to maintain, integrate, optimize, and extend without needing a full rebuild later on.
Better user experience
When NLP works, it’s invisible. Customers and employees just get what they need, when they need it, every time. We create apps that feel smart, helpful, and natural, not robotic or frustrating to interact with.

Are there untapped opportunities to do more with NLP?

Does your current approach actually help language-based workflows?

We’re seeing companies bolt on NLP features or use their own tools’ native ones without solving real problems. A flashy chatbot or API won’t move the needle if your core workflows are still manual. The fix? Build solutions around real use cases, clean data, and measurable outcomes.

Let’s talk
Let’s talk

Book a call with our team today!

01
Do customers ever complain that your chatbot just doesn’t “get it”?
02
Do your teams still pull data manually from documents or PDFs?
03
Is it hard to track customer sentiment at scale across channels?
04
Are job applications or support requests being routed inefficiently?
05
Is contract review still a slow, error-prone, human-only process?
06
Do product teams struggle to make sense of customer feedback?

How NLP drives efficiency and
improves the customer experience

Drive company-wide innovation with our NLP development services

NLP powers the tools you already use — from Gmail autocomplete to chatbots, CRMs, helpdesk platforms, and search engines. But true innovation means making organization-wide changes that lead to real adoption, unlock new efficiencies, and materially improve the customer experience. It’s about changing how your teams work, how customers interact, and how value gets delivered.

And the reason it’s so hard to do this alone? Because NLP requires both technical depth and business alignment. You need to deeply understand language data, machine learning, and infrastructure, in addition to knowing how to embed those solutions into everyday operations in a way your people will actually use.

That’s precisely the gap we fill.

70%
of AI use cases across enterprises involve natural language understanding or generation.
McKinsey
65%
of companies say NLP has improved customer insights and reduced manual processing costs.
Deloitte
62%
of NLP projects fail to scale due to poor data quality, lack of domain-specific training, or integration gaps.
Gartner
78%
of users prefer brands that offer natural, human-like AI interactions.
Salesforce

Navigate the next era of NLP solutions

1
NLP integration into systems
For those who want to avoid a major overhaul, we seamlessly embed NLP into your existing tools, workflows, and platforms, from CRMs to internal dashboards. Our integrations are secure, scalable, and designed to work within your current infrastructure so teams can adopt them with minimal friction.
2
Foundational NLP model development
We build NLP models from the ground up using your proprietary data and business context. These models become strategic assets that power everything from internal automation to customer-facing experiences. We engineer them for long-term scalability, control, and customization beyond what off-the-shelf APIs can provide.
3
NLP model fine-tuning
Already using OpenAI, Google Cloud, or other LLMs? We fine-tune those models using your domain-specific data to drastically improve accuracy and relevance. Whether it's understanding industry-specific terms or reducing hallucinations, fine-tuning helps align outputs with your goals, brand voice, and operational language.
4
Custom-tailored NLP solutions
Every business is different, and so is every language problem. For those who need extensive help, we’ll architect NLP solutions specifically around your workflows, data pipelines, and UX requirements. From smart routing to data extraction to multilingual support, our builds are 100% aligned with exactly how your business operates.
navigate-next-era-natural-language-processing

Turn natural language into long-term leverage

See how a custom-built language model could reshape your operations.
Let’s talk
Let’s talk

Book a call with our team today!

experience-the-next-frontier-of-ai

Related videos

Our expertise in natural language processing

If doing NLP effectively were only about using the right tools, everyone would have it on lock. But it’s also about mastering the underlying techniques that make language intelligence work. From foundational linguistic modeling to advanced transformer-based systems, our team brings deep technical expertise across every layer needed to build scalable, real-world NLP apps.
our-expertise-in-natural-language-processing
Let’s talk
Let’s talk

Book a call with our team today!

Tokenization and text preprocessing
We break raw language into meaningful chunks (tokens), then clean, normalize, and structure it. In doing so, we cut out the noise, correct inconsistencies, and prep the data for reliable downstream processing tasks like classification, search, or generation.
Part-of-speech tagging
A huge part of NLP development is labeling each word in a sentence with its grammatical role (verb, noun, adjective, etc.). This facilitates more accurate syntactic and semantic analysis. it’s especially useful for internal tools like document analyzers, contract reviewers, resume parsers, and knowledge extraction systems.
Text classification and intent detection
We train models to categorize incoming messages or documents and pinpoint what the user actually wants. This is critical for routing support tickets, triaging emails, auto-tagging documents, prioritizing sales leads, and powering smarter chatbots, which you can program to respond based on user intent.
Sequence-to-sequence modeling
For apps with text summarization tools, document-to-answer bots, language translation apps, and auto-generated reports, we’re able to build models that take a sequence of text as input and generate a new sequence as output.
Semantic similarity and relevance scoring
You can hire us to build models that understand meaning instead of just keywords in order to assess how closely two texts relate. This is essential for semantic search, duplicate detection, content recommendations, and document matching, where traditional keyword matching isn’t granular enough to surface the most contextually appropriate results.
Multilingual NLP
We develop language models that support multiple languages and dialects. This is what powers chatbots, support systems, content analyzers, and translation tools to serve your international employees and customers with localized accuracy, tone, and cultural nuance.
Named entity recognition (NER)
We train models to detect and classify real-world entities like people, locations, brands, and dates. That way, you can extract structured, actionable data from contract review systems, CRMs, email platforms, and customer support tools with high accuracy and contextual awareness.
Dependency parsing
Our software maps out the grammatical relationships between words, like which noun a verb acts on, to understand the full structure of a sentence. This enables deeper comprehension in apps like automated report analysis, contract clause extraction, intelligent document search, and advanced chat understanding, where surface-level keyword matching isn’t enough.
Word embeddings and vectorization
Algorithms convert text into dense numerical representations that capture the meaning, context, and relationships between words. This powers semantic search engines, recommendation systems, duplicate detection tools, and clustering algorithms — allowing machines to reason about language in a way that mimics human understanding.
Sentiment and emotion analysis
NLP systems can detect not just what people are saying, but whether they feel good about your product, or if they’re frustrated with, confused about, or unsure of it. It’s one of the most valuable tools for customer support, churn prediction, employee feedback analysis, and brand monitoring because it tells you exactly when customers or teams are signaling deeper problems.
Contextual language modeling
We train and fine-tune advanced transformer models like BERT, RoBERTa, or GPT to deeply understand language in context. These models power question answering systems, intelligent document summarizers, smart assistants, and context-aware chatbots that adapt to your business tasks, tone, and terminology.

Our NLP service delivery process

Why Influize is the NLP Gold Standard

Deep domain adaptation, not generic solutions
Most agencies push one-size-fits-all models. We specialize in adapting NLP systems to your industry’s language whether that’s legal, healthcare, fintech, or SaaS. The result is you’ll get tools that actually understand language inputs in the context of your business.
End-to-end delivery, not just modeling
NLP isn’t only about training a model. You have to get that model into production, then get everyone to use it properly (and want to keep using it). And you have to maintain it. We handle everything from data pipelines to UI/UX to integration, so what we build gets used.
Explainability and governance baked in
We don’t ship black-box AI. Our solutions are transparent, auditable, and compliant, with built-in explainability, role-based access, and safeguards to meet internal, legal, and ethical requirements.
Results-first engagements
We’re focused on ROI, not just R&D. Every project starts with KPIs like support ticket deflection, time saved per analyst, and revenue from semantic search, then ends with measurable wins. You end up with a better product and better results.

About our team

Our expert team of 150+ NLP engineers, data scientists, and machine learning architects combines deep academic knowledge with real-world deployment experience. We've built production-ready NLP systems across several industries for more than 1,600 clients.
21+
Years of expertise
40+
Countries served
150+
Tech experts on-boards
1600+
Happy clients
2500+
Projects delivered

Our natural language processing stack

Text Data Sources & Ingestion

apache-kafka
Apache Kafka
scrapy
Scrapy
aws-comprehend
AWS Comprehend
cloud-natural-language
Cloud Natural Language

Text Cleaning & Preprocessing

nltk
NLTK
spa-cy
spaCy
text-blob
TextBlob

Named Entity Recognition & Parsing

spa-cy-ner
spaCy NER
flair
Flair
stanford-nlp
Stanford NLP
presidio
Presidio

Embedding & Vectorization

word-2-vec
Word2Vec
glo-ve
GloVe
sentence-transformers
Sentence Transformers
fast-text
FastText

NLP Model Training & Fine-Tuning

hugging-face-transformers
Hugging Face Transformers
open-nmt
OpenNMT
t5
T5
allen-nlp
AllenNLP

Sentiment Analysis & Classification

vader
VADER
bert
BERT
text-blob-sentiment
TextBlob Sentiment
ibm-watson-nlu
IBM Watson NLU

NLP API Development & Integration

fast-api
FastAPI
flask
Flask
lang-chain
LangChain
azure-cognitive
Azure Cognitive

Monitoring & Human Feedback Loop

ml-flow
MLflow
prodigy
Prodigy
label-studio
Label Studio
neptune-ai
Neptune.ai

Bias, Fairness & Responsible NLP

fairlearn
Fairlearn
ai-fairness-360
AI Fairness 360
check-list
CheckList
open-ai-moderation
OpenAI Moderation
Latest Reels

Diversified expertise across the latest and greatest in GenAI

GPT-5
logo gpt
Large language model by OpenAI used for advanced chatbots, summarization, and content generation.
Claude 4.X
logo claude
Anthropic’s LLM optimized for alignment, safety, and enterprise-grade reasoning in regulated industries.
LLaMA 4
logo lama
Meta’s open-weight model suite, ideal for private deployment and custom fine-tuning across domains.
Mistral 7B / Mixtral
logo mistral
Lightweight open-source models for high-speed, on-device inference and modular use in constrained environments.
Gemini 2.0
logo google
Google DeepMind’s flagship model designed for multi-modal tasks across text, code, images, and more.
PaLM 2
logo palm
Powerful models built for reasoning, code generation, and multilingual understanding in Google’s ecosystem.
T5 (Text-to-Text Transfer Transformer)
logo deepseek
Google’s model that frames all NLP tasks as text-to-text. Great for summarization and translation.
RoBERTa
logo whisper
A robustly optimized BERT variant widely used for classification, NER, and document-level tasks.
BERT
logo stable
The original transformer breakthrough. Still highly effective for intent detection and enterprise document understanding.
DistilBERT
logo phi
A smaller, faster BERT variant perfect for real-time NLP in mobile or embedded apps.
Falcon
logo vicuna
Open-weight LLMs designed for inference speed and privacy — often used in edge deployments.
BioGPT / LegalBERT
logo dall-e
Domain-specific models pre-trained on biomedical or legal corpora for ultra-targeted NLP applications.

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We can build any kind of NLP app

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AI-Powered Notetaker - Record. Transcribe. Execute.

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NLP development pricing models

01
Fixed pricing
Our fixed model is best for companies with clearly defined NLP use cases, timelines, and deliverables. You get a scoped project with a flat rate, making budgeting predictable. It’s ideal for MVP builds, one-off tools, and proof-of-concept projects that won’t require deep iteration or ongoing experimentation.
02
Dedicated NLP development team
A dedicated team works for complex or long-term projects that require specialized skills like building multi-language chatbots, integrating with or overhauling legacy systems, and developing domain-specific models (e.g., legal clause extraction, clinical text analysis). You get a full-time team that brings speed, continuity, and deep technical focus.
03
Outsourced managed delivery
Managed delivery is perfect if you want the outcomes without having to manage all the technical details. We handle scoping, staffing, delivery, and infrastructure, and report progress on set intervals. This works well for non-technical teams and startups with no internal AI/ML capability.
04
Time and materials
Time and materials pricing is the best when the scope is fluid or exploratory because you pay based on actual hours worked. R&D, pilot testing, and ongoing improvement of existing models are all examples of this. This model gives you maximum flexibility and is often used alongside agile delivery methods.

Precision, accuracy, and NLP tools to future-proof your business

Evaluation frameworks
Tools like spaCy's scorer, seqeval, and scikit-learn’s classification reports help us rigorously evaluate NLP model performance. Precision, recall, and F1 scores help us fine-tune models before deployment to ensure consistent accuracy in classification, extraction, and intent detection tasks.
Labeling and annotation platforms
High-quality NLP depends on well-labeled training data. Platforms like Label Studio and Prodigy enable rapid, structured annotation of text for use in entity recognition, sentiment analysis, and classification, which are critical for models that have to learn from domain-specific language.
Model explainability tools
We integrate explainability frameworks like SHAP and LIME to unpack model predictions in a human-readable way. This is vital for regulated industries, internal QA, and gaining stakeholder trust when deploying NLP models in high-stakes workflows.
Embedding search engines
We deploy tools like FAISS and Weaviate to power semantic search, content recommendations, and similarity scoring. These systems use vectorized language representations to surface meaningfully related results across documents, chats, or product data.
Model monitoring and drift detection
Tools like Arize AI and Evidently AI are what we use to track accuracy in real-time, monitor for data drift, and retrain models proactively so that your language models aligned with evolving customer and business behavior.
NLP pipeline orchestration
We build scalable, production-grade workflows using tools like Hugging Face Transformers, Airflow, and Prefect. This facilitates seamless retraining, deployment, and automation of your entire NLP stack from raw data ingestion to inference and feedback loops.

Why choose us

image
Influize delivered! The team built a robust eCommerce strategy, delivering outstanding UX and website design, driving exceptional sales and engagement.

Rachael Warren

Digital Director - NatruSmile

image
Influize’s talented team crafted bold branding, intuitive UX, and a modern website for Car.co.uk , boosting engagement and digital presence.

Will Fletcher

CEO - Car.co.uk

Influize boosted our Instagram from 10k to nearly 100k across five campaigns. Professional, trustworthy, and easy to work with, I highly recommend them to other businesses.
Rob Cammish
Managing Director - Total K9
Influize delivered outstanding design and development for Trader’s platform, creating a sleek, user-friendly car auction marketplace. Their innovative approach boosted engagement and efficiency.
Anthony Sharkey
Operations Director - Trader.co.uk
Influize provided strategic direction and exceptional UX design for Domains.co.uk’s new projects, modernizing our platform and boosting engagement. Their innovative approach was outstanding.
Steven Jackson OBE
Director - Domains.co.uk
Influize's strategy skyrocketed L’ANZA’s Instagram growth, adding 50,000+ followers this year. Their celebrity influencer network boosted brand awareness and sales. Excited to keep using them!
Michael Lindbloom
Social Media Manager - Lanza
Influize boosted our Instagram from 10k to nearly 100k across five campaigns. Professional, trustworthy, and easy to work with, I highly recommend them to other businesses.
Rob Cammish
Managing Director - Total K9
Influize delivered outstanding design and development for Trader’s platform, creating a sleek, user-friendly car auction marketplace. Their innovative approach boosted engagement and efficiency.
Anthony Sharkey
Operations Director - Trader.co.uk

NLP development case studies

Meet with our NLP development experts today

No two businesses have the same needs when it comes to NLP. Even if you and a competitor offer similar services, you don’t have the same software, workflows, or orgnanizational culture. That’s why our NLP packages are always custom-built. But that also means our first step is to get on a call.

Get clarity, strategy, and real use-case ideas.

On the call, we’ll review your workflows, data, and goals to define the project’s scope and uncover where NLP and AI can drive the most impact. At the very least, you’ll walk away with a clear sense of what’s possible.

  • Understand the most valuable NLP use cases in your business
  • Pinpoint which data types and formats support your NLP goals
  • Get expert guidance on timeline, cost, and implementation strategy

We’ll also send you a short post-call summary with next steps and opportunities. Just fill out the form to schedule your call. Include any known use cases, challenges you're facing, or systems you want to improve. The more context you give, the more value you’ll get out of the conversation.

Fill in the form to connect with our expert team!

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Our work featured in the press

FREQUENTLY ASKED QUESTIONS

What is natural language processing development?

Natural language processing (NLP) development is the process of designing, building, and deploying software that enables machines to understand, interpret, and generate human language. This includes everything from training custom models to integrating them into apps, chatbots, search engines, CRMs, or internal tools.

It blends data science, linguistics, and machine learning to turn unstructured text (like emails, chats, documents, voice transcripts) into structured data or intelligent outputs.

For example, NLP development powers tools that can summarize legal contracts, detect sentiment in customer feedback, extract key info from support tickets, or enable chatbots to respond like a human.

How can NLP improve my business processes?

Instead of relying on people to manually tag, summarize, or interpret unstructured text, NLP models can do it instantly and at scale. This leads to faster response times, fewer errors, and more consistent decision-making.

In practical terms, that means your support team handles more tickets without hiring, contracts get reviewed in minutes instead of days, customer feedback is analyzed in real time, and internal processes move faster because the language-based work is no longer a bottleneck. You reduce manual effort, unlock buried insights, and deliver better experiences across the board.

Do you build custom NLP models?

Yes, we design and train custom NLP models based on your specific data, use cases, and business objectives. This ensures the system understands your language, context, and workflows. The result is higher accuracy, better automation, and more relevant outcomes.

Can you develop chatbots and virtual assistants with NLP?

Yes. We build bots that actually understand what people are asking and can respond intelligently. They can hold a conversation, pull in data from your systems, and even handle tasks like routing or triaging. It’s all fully tailored to how your business works.

For example, we can build a natural language processing customer service model you can use to automate routine customer service queries like order tracking and refund processing.

Do you offer sentiment analysis solutions?

Yeah, we do. If you’re looking to track how customers or employees feel based on their reviews, tickets, surveys, and social posts, we’re able to build models that pick up on tone, emotion, even frustration or urgency. It’s a great way to surface issues early or measure experience at scale.

Do you offer multilingual NLP solutions?

We do. If you're working with global teams or customers, we can build or fine-tune models that understand and generate words across multiple languages. That includes things like translation, entity recognition in different languages, and even adapting the tone or structure to fit local context.

Can you create document classification or summarization tools?

Yes, that’s one of the most common requests we get as a natural language processing company. If you’re buried in reports, emails, PDFs, or tickets, you can hire us to build tools that automatically organize, tag, or summarize them in a way that makes sense for your workflow.

Can you build NLP solutions for healthcare or finance?

Definitely. We’ve worked with both quite a few times, and those industries have unique challenges: strict compliance, messy data, and specialized language. We build models that handle clinical terms, legal clauses, transactional data, and more, while staying aligned with the privacy and accuracy standards these sectors demand.

Do you offer training for in-house teams on NLP tools?

Yeah. If your team wants to manage or extend the solution internally, we can train them on the models, the tools we use, and best practices. We’ll walk them through everything from data labeling to model deployment so they’re confident managing it going forward.

What sets your NLP development services apart from others?

Most natural language processing service providers either give you a generic model or hand you an API and disappear. We go deep into your business, build the right solution for your data, and stay involved through deployment, training, and iteration.

Not to mention, we're technical enough to build from scratch, practical enough to integrate with messy systems, and experienced enough to know when a model’s not the answer.