Enterprise NLP Services

Natural Language Processing Solutions:
Designing Intelligence Into the Language

Increase the benefits derived from your unstructured data through the use of Natural Language Processing (NLP) and provide a way to create NLP-enabled intelligent business solutions with our pre-built industrial-strength NLP pipeline technology to enable fast production of effective and actionable business logic from complex textual data.

Latent Semantics
Governance First

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New Level of Standard

Total Enterprise Re-Invention

The time of the chatbot as an experimental tool is over; by 2026 the leaders in the market will have created “AI Refineries” capable of producing transferrable results from raw textual input to implementable and measurable business intelligence. Prism Infoways is delivering Trusted AI (Trustworthy AI) that can be integrated directly into an organization’s current legacy infrastructure and will ensure your company’s data stays safe, available and profitable.

Successfully Built For Complicated Environments: NLP Services

We don't just build chatbots. We architect enterprise-grade NLP ecosystems.

Strategic Advisory & ROI Modeling

We will establish an economic model for the case in order to ensure an EBITDA impact before starting any coding.

RAG and Knowledge Retrieval

Stop the hallucination. We create Vector Database architectures (e.g. Pinecone / Weaviate) so that AI can be aligned with your organization's internal truths' through natural language processing services.

LLM Customization

We adapt open-source models (e.g. Llama 3 / Mistral) to your language requirements - this can be any industry - legal or healthcare.

Automated/Agentic AI Workflow

A transition from analysis to action. An introduction of autonomous agents that can perform tasks that require complex workflows such as; claims processing or reviewing a contract.

Legacy Systems Integration

We will build secure Python connectors for joining new AI microservices with your existing ERP, CRM, and other Mainframe data.

MLOps and Governance

Developing the full life cycle of management including ongoing drift monitoring, red-teaming for security, and ongoing advance validation and optimization are within our scope of natural language processing software development services expertise.

Measurable Impact

Hard Data,
Not Hype.

Every business engagement with us will have key performance indicators associated with it. Below is a summary of what you can expect from your implementation of Prism NLP engines.

01
Instant
96 Hours -> Immediate

Automation in document processing, by eliminating manual review cycles; instead of taking days to review a document you will now only need seconds.

02
15% Increase

By utilizing Natural Language Processing (NLP) to measure/capture real time customer sentiment and discover cross -sell opportunities.

03
98.5% Accuracy

Outperforms traditional OCR (Optical Character Recognition). Our deep learning models predictively classify invoices and entities with unrivalled accuracy.

04
70% Deflection

Majority of Level 1 inquiries handled automatically, leaving your employees able to focus on higher value inquiries.

Operational Continuity

The Prism Continuum

A high-fidelity roadmap engineered for enterprise-grade NLP deployment, moving with surgical precision from discovery to live optimization.

The Natural Language Processing Solution: The Development Lifecycle

Phase 01

Assessment & Discovery (Phase 1)

This phase consists of identifying pain points, an audit of data readiness and performing a feasibility analysis through natural language processing services.

Deliverable:
"A validated roadmap and return on investment (ROI) model."
1
Phase 02

Transition to Design & Build (Phase 2)

This phase includes performing cleaning of data (janitorial natural language processing), vectorizing data and tuning a model.

Deliverable:
"A gold standard data set and minimally viable product (MVP) that works."
2
Phase 03

Monitoring Through Deployment (Phase 3)

This phase includes a containerized rollout (Docker/Kubernetes) using NeMo Guardrails for safety through natural language processing solutions.

Deliverable:
"A ready-to-use production system that works in your workflow."
3
Phase 04

Ongoing Optimization (Phase 4)

This phase includes continuously providing feedback loops (assisted learning) to identify and correct large shifts in behavior.

Deliverable:
"a model that is smarter with every interaction."
4

Customized NLP Software Building Services Designed for Your Stage

Startups and Scale Ups

Speed to Market

  • 4 Week MVP Development:Create prototypes quickly to validate product-market fit
  • Augment Staffing:Add additional staff with specialized NLP Engineers quickly
  • Affordable:Use open source SLMs to reduce burn rate

For Enterprise and Government

Security and Sovereignty

  • Deploy Llama Models in Your Private Cloud:Deploy Llama models within your VPC (AWS/Azure)
  • Security First:Ensure compliance with SOC 2, HIPAA, and GDPR through natural language processing service architecture
  • Modernize Legacy to New Systems:Safe integration between existing brownfield system and new modern systems

Our NLP Process Is Model-Agnostic.

We don't lock you into a single vendor. We select the best-in-class tools for your specific architecture and security requirements.

Languages & Frameworks

  • Python
  • PyTorch
  • TensorFlow
  • LangChain
  • Hugging Face

Vector Databases

  • Pinecone
  • Weaviate
  • Milvus
  • ChromaDB

Infrastructure

  • AWS Bedrock
  • Azure OpenAI
  • Docker
  • Kubernetes

Security & Governance

  • NVIDIA NeMo
  • OAuth 2.0
  • Guardrails AI
  • Presidio
FAQs:

Frequently Asked Questions

Natural Language Processing is AI technology that enables computers to understand, interpret, and generate human language. Natural language processing services unlock value from unstructured text data—customer feedback, support tickets, contracts, emails—automating document processing, extracting insights, improving customer service, and enabling data-driven decisions that would be impossible through manual analysis alone.
Timeline depends on complexity and data availability. Simple NLP applications like sentiment analysis launch in 4-6 weeks, mid-complexity solutions such as document classification require 8-12 weeks, while enterprise systems with custom models take 12-24 weeks.
NLP addresses diverse business challenges: automating customer support through chatbots, analyzing sentiment in reviews and feedback, extracting key information from contracts and documents, classifying and routing support tickets, enabling semantic search across knowledge bases, generating summaries of long documents, and detecting compliance issues in communications—transforming unstructured text into actionable intelligence.
We recommend the optimal approach for your needs. For rapid deployment and general tasks, we leverage APIs from OpenAI, Anthropic, or Google. For domain-specific requirements, data privacy, or cost optimization, we fine-tune open-source models (Llama 3, Mistral) on your data. Our natural language processing software building services select technology based on your security, performance, and budget requirements.
Data security is fundamental. We offer deployment options including private cloud (AWS/Azure VPC), on-premises installation, and air-gapped systems for sensitive data. All solutions include encryption at rest and in transit, SOC 2/HIPAA/GDPR compliance, role-based access controls, and audit trails. Your proprietary data never trains public models without explicit consent.
Yes. Modern natural language processing solutions support 100+ languages. We work with multilingual models and can fine-tune for specific languages or dialects relevant to your business. Performance varies by language—high-resource languages (English, Spanish, Chinese) achieve better accuracy than low-resource languages, but we develop solutions ensuring acceptable performance for your specific linguistic requirements.
We implement continuous monitoring and optimization through MLOps practices. Our systems track model performance metrics, detect data drift, collect user feedback, and retrain models periodically using new data. This ensures accuracy improves rather than degrades—models literally get smarter with every interaction through assisted learning and human-in-the-loop validation processes.

Ready to Boost Your Enterprise ROI with NLP Solutions?

Let's engineer intelligent language solutions that turn raw text into revenue-generating insights.