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LLM Development Company

Custom LLM Development for Your Business Needs


Struggling with ChatGPT’s limitations? Generic AI models can’t understand your data, workflows, or industry jargon. Our custom LLM development solves this by building AI tailored to your business—trained on your documents, integrated with your systems, and deployed securely on your infrastructure.


Stop compromising with one-size-fits-all AI.
Get an LLM that speaks your language.

Why Choose Zfort Group?

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Custom Models,
Not Just ChatGPT Wrappers

We go beyond API wrappers to build proprietary LLMs fine-tuned on your data. Unlike generic solutions, our models learn your terminology, workflows, and business logic - delivering responses with 92%+ domain accuracy. We specialize in adapting open-weight models (Llama 3, Mistral) for enterprise use cases where ChatGPT falls short.

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On-Premise or
Private Cloud Deployment

Maintain full data sovereignty with our secure deployment options. Whether you require air-gapped on-premise installation or private cloud solutions, we implement military-grade encryption and access controls. Your sensitive documents, customer data, and proprietary information never touch third-party servers - eliminating compliance risks and IP leakage.

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Cost-Efficient
AI Solutions

We optimize total cost of ownership through model quantization, efficient serving (vLLM), and targeted fine-tuning. Clients typically see 50-70% savings versus ChatGPT API at scale, with higher accuracy for their specific use cases. Our engineers right-size models to your workload - no paying for unnecessary capacity.

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Seamless Integration in
2-4 Weeks

Our battle-tested integration framework connects LLMs to your existing tech stack rapidly. We've deployed solutions into SAP, Salesforce, SharePoint, and custom ERPs. Standard implementations include: REST APIs, Python SDKs, and pre-built connectors for common business applications - with minimal IT disruption.

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24/7 Support &
Performance Monitoring

Get enterprise-grade SLAs with proactive model monitoring. Our MLOps platform tracks accuracy drift, data quality issues, and infrastructure health - with automatic alerts. Includes quarterly model retraining, security patching, and dedicated support channels for critical systems.

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Domain-Specific Accuracy
(90%+)

Through proprietary training techniques, we achieve 2-3x better accuracy than general-purpose AI for specialized tasks. Example benchmarks: 94% on legal contract review, 91% on medical coding, 96% on technical support ticket routing. We validate performance against your real-world data before deployment.

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Compliance &
Security First

Our solutions are engineered for regulated industries with:

  • HIPAA/GDPR-compliant data handling
  • SOC 2 Type II certified infrastructure
  • Role-based access controls
  • Full audit trails
  • Ethical AI safeguards

Our LLM Services: Solving Real Business Challenges

Replace Expensive ChatGPT API

We build optimized alternatives using Llama 3 or Mistral - delivering comparable performance at 40-60% lower cost. Includes:

  • Usage-based pricing instead of tokens
  • Custom rate limiting for your workflows
  • Priority queues for critical operations

Secure Document Intelligence

When you can't risk sending files to cloud AI

On-premise solutions for:

  • Contract analysis (NDA-safe)
  • Financial report generation
  • Medical record processing
  • Features redaction capabilities and audit trails to meet FINRA/HIPAA requirements.

Industry-Specific AI Assistants

Healthcare:

  • Symptom checker trained on latest medical guidelines
  • Automated ICD-10 coding (94% accuracy)

Legal:

  • Deposition analysis with privilege detection
  • Clause library with version tracking

Financial Services:

  • Earnings call summarization
  • SEC filing anomaly detection

Knowledge Mining & RAG Systems

Turn your:

  • PDF manuals → Searchable knowledge base
  • Support tickets → Auto-resolution system
  • Meeting transcripts → Decision insights

Uses hybrid retrieval with your proprietary data + LLM reasoning.

Mission-Critical Decision Support

For operations needing real-time AI:

  • Supply chain disruption alerts
  • Insurance claims triage
  • Manufacturing defect detection
  • Built for <500ms latency with 99.9% uptime SLAs.

Industries We Serve: Tailored LLM Solutions

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Banking & Financial Services

High-risk compliance workloads and customer experience gaps

  • AML/KYC Automation: Reduce false positives by 60% with AI-trained on sanction lists and transaction patterns
  • Personalized Wealth Management: Generate client reports combining market data with portfolio history
  • Fraud Detection: Real-time analysis of payment narratives and behavior anomalies

FEDAI-compliant models, integration with Temenos/FIS

Healthcare & Life Sciences

Clinical burnout and administrative overhead

  • Prior Authorization AI: Extract key data from 100+ EHR formats with 98% accuracy
  • Medical Coding Assistant: Suggest ICD-11/CPT codes with references to latest guidelines
  • Research Accelerator: Systematic literature reviews 10x faster

HIPAA-validated deployment options

Legal & Professional Services

Billable hour traps and human error

  • Contract Lifecycle AI: Redline comparison against your clause library
  • Discovery Analyzer: Tag privileged communications in document sets
  • Regulatory Change: Alert systems for SEC/FCA updates

Matter-specific data isolation

Insurance

Claims leakage and slow processing

  • First Notice of Loss: Auto-extract incident details from calls/emails
  • Damage Assessment: Compare claims photos against repair databases
  • Fraud Detection: Narrative analysis across claims history

Guidewire/Duck Creek connectors

E-Commerce & Retail

Generic recommendations and support bottlenecks

  • Personalized Search: Understands colloquial product queries ("office chair for bad back")
  • Returns Triage: Auto-approve valid returns using policy/rules
  • Catalog Enrichment: Generate SEO product descriptions from bullet points

Handles 1M+ daily queries

Manufacturing & Logistics

Supply chain blindspots

  • PO Analyzer: Flag vendor contract deviations
  • Shipment ETA: Predictive tracking using weather/port data
  • Maintenance Predictor: Equipment manuals + sensor data fusion

OSIsoft/AVEVA integrations

Our LLM Implementation Roadmap: From Concept to Production

01

Discovery & Scoping (1-2 Weeks)

We conduct immersive workshops to:

  • Map your high-impact use cases (prioritizing 80/20 opportunities)
  • Analyze 200+ sample documents/conversations to identify key patterns
  • Define success metrics aligned with business KPIs

Deliverable: Technical design document with accuracy targets

02

Data Engineering (2-3 Weeks)

Our pipeline:

  1. Ingestion: Connect to your data sources (SharePoint, SQL, S3, etc.)
  2. Cleaning: Remove PII, standardize formats, handle edge cases
  3. Enrichment: Entity recognition, metadata tagging
  4. Splitting: Create optimal train/validation/test sets

Output: Audit-ready dataset with version control

03

Model Development (3-5 Weeks)

Tailored approach based on your needs:

  • Fine-Tuning: Adapt foundation models (Llama 3, GPT-4) using LoRA/PEFT
  • RAG Systems: Build hybrid search with your knowledge base
  • Custom Training: For unique requirements (from scratch)

Benchmarking: Side-by-side tests against ChatGPT on your data

04

Security & Compliance (Concurrent)

  • Penetration testing on API endpoints
  • Access control integration (Okta, Azure AD)
  • Audit logging configuration
  • Compliance documentation package
05

Pilot Deployment (2 Weeks)

  • Limited user group testing
  • Real-time performance dashboard
  • Daily accuracy monitoring with drift alerts
  • Hotfix capability for critical issues
06

Full Production Rollout

  • Gradual traffic increase with canary releases
  • Load testing at 3x expected volume
  • Staff training program (3 tiers: users, admins, developers)
  • Handoff to internal MLOps team

Case Studies

Background Remove AI Tool

Recognition of objects in images or How to remove background in 15 seconds?

See Full Case Study
Background Remove AI Tool

Voice Recognition System

Language-specific, industry-specific, encoding-specific voice recognition system.

See Full Case Study
Voice Recognition System

AI Case Study

Intelligent video monitoring system that knows what should be seen by the camera and raises an alarm when something seems off.

See Full Case Study
AI Case Study

Invluencer

Invluencer is a solution that will help investors enter the venture capital arena safely and correctly.

See Full Case Study
Blockchain Case Study - Invluencer

Imperium

Imperium is an easy-to-use investment tool that provides simplicity, security, ownership and permanent exposure to the top cryptocurrencies.

See Full Case Study
Blockchain Case Study - imperium

AI Cannabis

AI engine for cannabis retail boosted customer satisfaction by 24% and cut no-purchase exits by 18% using preference-based product recommendations.

See Full Case Study
AI Cannabis

Tokenomics

We built a blockchain-based reward system that cut HR costs by 20% and doubled employee retention using tokenomics, mobile/web apps, and Solana.

See Full Case Study
Tokenomics

Real-Time Scam Detection

AI-driven scam detection system cut review time by 50% and detected fraud 70% faster using neural networks, BigQuery, TensorFlow, and behavior analysis.

See Full Case Study
Real-Time Scam Detection via AI and Big Data

AI-Powered Deal Processing

AI system cut deal email processing time by 75% for an impact investment firm using OpenAI, Google Cloud, and Laravel Nova to boost efficiency and accuracy.

See Full Case Study
AI-Powered Deal Processing for Impact Investment Firm

Tiaki

Read more about how we set up an automated alert system for an SEO tool to manage your clients' websites, social media, and marketing campaigns.

See Full Case Study
Tiaki

Gotta Hunch

The gambling application app allows you to make a daily news prediction. Both iPhone and Android apps were completely designed and developed.

See Full Case Study
Gotta Hunch

iNET Guardian

Zfort team created an app for parents that gives quick and easy access to their kids' activities, allowing kids to surf the Internet safely and securely.

See Full Case Study
iNET Guardian

Magento 2 Store

The created Magento 2 Commerce store handles a vast number of combinations of different products. The website is generating significant profits, and gets positive customer feedback on their online shopping experience.

See Full Case Study
Magento 2 Store

Online IO

A revolutionary Ethereum-based cryptocurrency with tokens generated by the amount of time a user spends on a website.

See Full Case Study
Online IO

Ryde

The development team has updated the existing iPhone applications for the fitness boutique chain. The app provides ease of use for customers and a competitive edge in the market.

See Full Case Study
Ryde

Scrapo

The marketplace is designed for both web and mobile applications. Sellers and buyers can post a listing, get the best price, conclude deals directly from the phone anywhere in the world.

See Full Case Study
Scrapo

Smooch

Our team completely redesigned and rebuilt both front-end and back-end of the platform to make it a suitable place to meet and match people. We also realized the iOS mobile app.

See Full Case Study
Smooch

Beyond

The main goal was to upgrade the WP website and add some features, provide a preliminary savings quote with a solar system installation and inform them about the solar panels' services.

See Full Case Study
Beyond

LLM Development FAQ

ChatGPT is a general-purpose tool trained on public data. A custom LLM is fine-tuned on your documents, workflows, and terminology—delivering higher accuracy for specialized tasks while keeping data private.

Most projects go live in 6-10 weeks:

  • 2 weeks for data preparation
  • 3-4 weeks for model training
  • 2 weeks for integration and testing

(Pilots can launch in as little as 14 days.)

We work with:

  • Contracts/reports (PDFs, Word)
  • Customer support logs
  • Process documentation
  • Industry-specific datasets

No data? We can pre-train on curated industry corpora.

Yes. Options include:

  • On-premise (full isolation)
  • Private cloud (AWS/GCP/Azure single-tenant)
  • Hybrid (sensitive data on-prem, general queries in cloud)

Through:

  • Zero data retention policies
  • End-to-end encryption
  • Optional air-gapped deployments
  • Compliance with GDPR/HIPAA/SOC 2

Projects start at $45k for:

  • Fine-tuned mid-size model (7B-13B params)
  • Basic RAG system integration

Enterprise deployments average 120k-300k with:

  • Larger models (70B+)
  • Custom training from scratch
  • Advanced monitoring

Yes. We audit and upgrade:

  • Intent recognition (reduce misroutes by 50%+)
  • Knowledge retrieval (RAG optimization)
  • Response personalization

We implement:

  • Human review workflows
  • Confidence scoring (flag low-certainty answers)
  • Continuous feedback loops

All deployments include:

  • 24/7 monitoring
  • Quarterly model retraining
  • Security patching
  • Accuracy optimization

Track:

  • Time saved on document processing
  • Customer service resolution rates
  • Error reduction vs manual work

(We provide benchmarking tools.)

We Are Happy to Listen

Tell us about your project to get the ball rolling

Need an AI solution that truly understands your business?

Leverage our expertise in custom LLM development to:

  • Replace generic ChatGPT with your own AI trained on proprietary data
  • Deploy on-premise or private cloud for maximum security
  • Solve niche use cases in legal, healthcare, finance, and enterprise operations
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