Natural Language Processing (NLP) Development Services
Most teams sit on text they can't search: contracts, clinical notes, support tickets. Kodexo Labs builds NLP development services that read that language and return answers. Extensiv's ops team now queries its own data in plain English, 90%+ accurate across its 207 tables.
Send us a brief
TRUSTED BY ENTERPRISES
Every business runs on language it can't process at scale. Our natural language processing development services put models to work on your documents, messages, and records, so answers surface in seconds, not hours.
Our Core Capabilities
Named entity recognition tags people, dates, and terms in documents.
Sentiment and intent analysis reads how your customers actually feel.
Document classification and summarization sort and shorten long files fast.
Multilingual models and machine translation cover customers in any language.
Conversational understanding powers chatbots and voice agents that actually respond.
NL2SQL lets your whole team query databases in plain English.
IN THE NEWS
AI-powered products shipped across 25+ industries
AI Development Company, verified on Clutch
Expert Team behind every NLP model we build
Client retention across natural language processing work
NLP Development Services Across the Pipeline
Language work isn't one job. It's a stack of them, from tagging entities to answering database questions. We build each layer as a production system, tuned to your data and measured against accuracy targets you set.
Named Entity Recognition & Information Extraction
Contracts and forms bury the names, dates, and clauses that matter, so named entity recognition and extraction pull them into clean, structured records.
Pull names, dates, and clauses from raw text into one tidy, sorted data set.
Reads raw notes, forms, and tickets as sent, with no fixed setup or rules.
Ready to Put NLP Development Services to Work?
You've got documents, messages, and data nobody has time to read. Tell us the problem, and we'll show you what to automate first.
NLP Development Services, Shipped
Extensiv
Extensiv’s operations team used to wait on engineering for every single data question, and decisions stalled. We built an NL2SQL system, plain-English querying that answers straight from their databases, on LangGraph. Now the team self-serves across 207 tables and 4 databases at 90%+ accuracy. The engagement shows up as Clutch Verified, no ticket needed.
90%+
SQL Accuracy
207
Tables
04
Databases
SmartMedHx
Clinicians were losing an hour a day to note-taking instead of caring for patients. We built a HIPAA-compliant documentation platform that captures the patient interview and uses named entity recognition, tagging conditions, medications, and history automatically, to write the clinical note. 42 providers now use it daily across 493 patient interviews, on patent-pending AI.
42
Providers
493
Patient Interviews
HIPAA
Compliance
IFPG
IFPG’s chatbot was handing prospects HTML-broken answers across 1,000+ franchise listings, and leads died at the very first click. We rebuilt the reasoning layer so the system understands what each prospect actually means before it responds. HTML errors dropped to zero, and answer accuracy climbed 85% across the largest franchise network in North America.
1,000+
Listings
85%
Accuracy Lift
Zero
HTML Errors
What Clients Say About The Team
Fast-growing organisations do not applaud a consulting partner for polished slide presentations; they praise it for showing up when something actually breaks. The notes below come from founders who watched Kodexo Labs work the problem in real time.
Kodexo Labs has met all expectations; the team delivers on time and manages the project seamlessly. They respond promptly to needs and communicate effectively through virtual meetings, Google Chat, and WhatsApp. Overall, they're highly passionate about the project and excel in customer service.
Christopher Brigham
MD President, Brigham and Associates, Inc.
WATCH VIDEO
- Clinical note generationNamed entity extractionHIPAA-compliant pipelinesPatient history structuring
Natural Language Processing Development Services Across Eight Regulated Industries
Language problems look different in a clinic than a warehouse. We tune every natural language processing build to your sector's records, rules, and compliance load. The model then reads your data the way your team already does.
See What NLP Development Services Could Automate In Your Business
You've seen the numbers above. The next step is a short conversation about the documents, tickets, or databases slowing your team down. Tell us which, and natural language processing goes to work first.
Compliance Built Into Every Natural Language Processing Model Build
Regulated data can't wait for a security review at the end. We architect HIPAA, GDPR, and SOC 2 requirements into the pipeline from day one, so your natural language processing system clears audit without a rebuild. Your data stays in your own environment throughout.
SOC TYPE 2
ISO 27001
HIPAA
GDPR
CCPA
COPPA
NIST AI RMF
EU AI Act
FERPA
PCI-DSS
SOC TYPE 2
ISO 27001
HIPAA
GDPR
CCPA
COPPA
NIST AI RMF
EU AI Act
FERPA
PCI-DSS
Why Growing Teams Pick Kodexo Labs For Their Natural Language Processing Development Work
Plenty of firms can call an NLP API. Fewer ship models that hold up in regulated production. Here's what separates our natural language processing work, each point backed by named clients and a research-led team.
HIPAA Clinical NLP Charting
Clinicians lose an hour a day to typing. SmartMedHx tags each condition, drug, and a note into a chart, HIPAA built in. Forty-two of them use it daily across 493 patient interviews, patent-pending.
NL2SQL Zero Competitors Name
Your ops team waits on engineers for every database question. Extensiv now asks four live databases in plain English on LangGraph, no ticket. This Inc.-5000 win is one no rival we audited names.
GDPR-Safe Sentiment For Therapy
Mental-health apps lose trust when privacy is bolted on, since GDPR misses are not fixable. Therapy Talk reads the feeling in tough chats for close to 2,000 users at 93% accuracy, privacy first.
PhD-Led NLP Model Leadership
Most agencies staff vision projects with generalists. Ours are led by a PhD-level machine learning team with dedicated computer vision engineers, so real specialists design and own your detection.
Still Losing Hours to Text Nobody Reads?
You've seen the case studies, the compliance, and the stack. What you haven't seen is what natural language processing does with your documents, tickets, and databases. That's a short conversation, and we're ready when you are.
Recognised By The Platforms That Vet AI Companies
Kodexo Labs is reviewed where technical buyers do their diligence: Clutch and Upwork. Every badge below links to the live profile.
Overcoming Common Natural Language Processing Challenges
Most NLP projects stall in production, not in the demo. Models that dazzle on clean samples drift on your messy records, your jargon, and your regulated data. Here are three delivery problems we solve before they ever reach your users.
Every tool listed is in active production on a Kodexo Labs.
Every framework, runtime, and cloud service named here is running on a live client product right now. No theoretical stack, no resume keywords, no tools added for marketing weight.
How Our Natural Language Processing Developers Deliver
Every engagement runs in two-week sprints with working demos, so you see progress and steer direction before the next build begins.
Discovery and Data Audit
We map the text problem to an outcome. We audit the documents, tickets, and databases you hold, check data quality, and flag privacy limits. You leave knowing what's automatable and how we measure success.
Model Selection
We choose the right approach for your data: fine-tuning a Hugging Face model on your records, retrieval that grounds answers in your documents, or database querying. We weigh each option on accuracy, cost, and speed.
Pipeline Build and Integration
Our engineers build the working pipeline and wire it into your systems: preprocessing, the model, and connections to your database, CRM, or support tools. We test against real records, so integration issues surface early.
Accuracy Validation
Before anything reaches users, we measure the system against accuracy and latency targets you set. We check edge cases and ambiguous phrasing. If a number falls short, we tune and retest until results hold.
Deployment and Monitoring
We deploy inside your environment and keep watching after launch. Dashboards track accuracy, response time, and drift, so quality never slips as your data changes. When new document types appear, we retrain the model.
Related Insights
What is Natural Language Processing? A Comprehensive Guide for Users
December 2023 · By Kodexo Labs
NLP is a branch of artificial intelligence (AI) that focuses on the interaction between computers and human languages.
AI in Customer Service – Automating Customer Experiences for Enhanced Performances
February 2024 · By Kodexo Labs
How to Build an AI Agent with RAG for Higher Accuracy
September 2025 · By Kodexo Labs
Building an AI agent with RAG combines retrieval-augmented generation with autonomous decision-making capabilities, transforming how businesses handle customer queries, internal knowledge management, and automated decision-making processes.
Frequently Asked Questions
Natural language processing teaches software to read and understand human language: emails, contracts, notes, chat messages. A model tags the important parts, sorts documents, answers questions, or translates. We train it on your own data so it understands your terms, then measure accuracy against real records before it goes live.