Custom Local LLMs

Domain-specific models trained on your data, running in your infrastructure.

Model Specializations

Each model is fine-tuned on domain-specific data and optimized for your industry's unique requirements

Finance

Finance & Accounting Models

Specialized in audit, compliance, and financial forecasting

Context Window: 32K - 128K tokens
Training Data: GAAP/IFRS standards, financial statements, regulatory docs
Use Cases: Audit automation, compliance checks, financial analysis

Example Query:

"Analyze Q3 statements for IFRS 15 compliance and flag revenue recognition risks"
DevOps

Coding & DevOps Models

Trained on your codebase and infrastructure patterns

Context Window: 32K - 200K tokens
Training Data: Internal repos, IaC templates, architecture docs, API specs
Use Cases: Code generation, legacy migration, infrastructure automation

Example Query:

"Generate Terraform config for multi-region deployment matching our production patterns"
Legal

Legal & Compliance Models

Contract review, risk assessment, regulatory monitoring

Context Window: 64K - 128K tokens
Training Data: Legal precedents, contracts, compliance frameworks, case law
Use Cases: Contract analysis, regulatory tracking, policy compliance

Example Query:

"Review vendor agreement for GDPR compliance and identify liability clauses"
Industrial

Industrial SOP Models

Manufacturing, safety, and operational knowledge engines

Context Window: 32K - 64K tokens
Training Data: SOPs, safety protocols, equipment manuals, production logs
Use Cases: Safety guidance, troubleshooting, process optimization

Example Query:

"What's the shutdown procedure for Line 3 during emergency maintenance scenarios?"
HR

HR & Talent Intelligence

Talent acquisition, retention analysis, performance benchmarking

Context Window: 32K - 64K tokens
Training Data: Resumes, performance reviews, exit interviews, market salary data
Use Cases: Candidate screening, churn prediction, skills gap analysis

Example Query:

"Identify top internal candidates for the Senior PM role based on past project performance and skill adjacencies"
Supply Chain

Supply Chain & Logistics

Inventory optimization, route planning, demand forecasting

Context Window: 64K - 128K tokens
Training Data: Shipment logs, inventory levels, supplier contracts, weather data
Use Cases: Stockout prediction, supplier risk assessment, route optimization

Example Query:

"Predict inventory shortages for SKU-102 given the delayed shipment from Supplier A and current burn rate"
Retail

Retail & E-commerce

Customer personalization, trend analysis, inventory alignment

Context Window: 32K - 128K tokens
Training Data: Transaction logs, customer support chats, clickstream data, loyalty program data
Use Cases: Personalized recommendations, churn prevention, dynamic pricing

Example Query:

"Segment high-value customers at risk of churn and generate personalized win-back offers based on purchase history"
FMCG

FMCG & CPG Models

Demand sensing, trade promotion, supply network planning

Context Window: 64K - 128K tokens
Training Data: POS data, distributor stock reports, marketing calendars, commodity prices
Use Cases: SKU rationalization, promo effectiveness, shelf availability

Example Query:

"Analyze the impact of the 'Summer Cool' campaign on soda sales in the North region vs distributor inventory levels"

Custom Model Training

Your data. Your domain. Your model.

Every Quantstack deployment includes comprehensive model fine-tuning tailored to your specific business context:

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Domain-Specific Vocabulary

Learn your industry jargon, product names, and internal terminology

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Process Knowledge Integration

Absorb SOPs, workflows, approval chains, and business logic

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Historical Context Understanding

Train on past decisions, outcomes, and lessons learned

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Continuous Learning Pipeline

Automatic model updates as new data flows in

Typical Training Timeline:
2-4 weeks from data ingestion to production-ready model with enterprise accuracy

Custom Training