We implement enterprise AI solutions that work for your business. Whether you need complete data privacy with local deployment or the power of cloud AI, we make it happen with full customization and expert guidance.
100% Local Processing
Continuous Improvement
Built for Your Needs
We don't just deploy AI โ we architect complete solutions tailored to your business, with frameworks that give you full control and understanding of your AI systems.
Complete end-to-end implementation of AI solutions that integrate seamlessly with your existing infrastructure. We make any AI model work for your specific business requirements.
Proprietary frameworks developed by our team to achieve consistent, reliable results. Our tools give you complete visibility and control over AI behavior.
Expert assistance with model fine-tuning and Retrieval-Augmented Generation setup. We help you optimize AI responses using your proprietary data and knowledge bases.
Design and deploy sophisticated multi-agent systems with coordinators that orchestrate task execution. Build AI workflows that handle complex, multi-step operations.
Generate custom AI models from scratch tailored specifically for your organization using our PascalGPT framework. Own your AI completely.
Maximize the performance of small, local models to rival cloud-based alternatives. We extract exceptional results from resource-efficient deployments.
We implement both cloud and local AI solutions. While we specialize in maximizing local AI capabilities, we understand that different use cases call for different approaches. Let us help you choose the right fit.
Both approaches have their place in enterprise AI strategy. Many organizations benefit from a hybrid approach โ using cloud AI for certain tasks while keeping sensitive operations completely local. We're experts in both and can guide you to the optimal solution for each use case.
On-premise, air-gapped deployment
Regulated industries, sensitive data processing, offline environments, organizations prioritizing data sovereignty, and companies seeking predictable AI costs.
GPT-4, Gemini, Claude, etc.
Rapid prototyping, general-purpose tasks, non-sensitive data, organizations without compliance restrictions, and exploratory AI projects.
Local AI isn't limited โ it's liberating. Here's the full spectrum of what's possible when you own your AI infrastructure.
Transform how your organization handles documents with AI that understands, extracts, and generates content.
Deploy intelligent chatbots and virtual assistants that truly understand your business context.
Go beyond keyword matching to find information based on meaning and intent.
Let AI analyze your data and surface insights that humans might miss.
Create high-quality content that matches your brand voice and standards.
Automate complex workflows that previously required human judgment.
Augment human decision-making with AI-powered analysis and recommendations.
Connect AI capabilities directly to your existing business systems.
Every capability listed above runs entirely on your infrastructure. Your data never leaves your control, there are no per-query costs, and you can process unlimited volumes. This is enterprise AI without compromises.
Move beyond simple chatbots to sophisticated AI workflows that handle complex, multi-step business processes autonomously.
AI workflows combine multiple AI capabilities into coordinated sequences that mirror how humans actually work. Instead of isolated AI tasks, workflows chain together document understanding, decision-making, action execution, and verification into seamless automated processes.
Our workflow engine handles branching logic, error recovery, human-in-the-loop checkpoints, and parallel processing โ all while maintaining complete audit trails for compliance.
Finance & Accounting
Email attachment or upload triggers workflow
AI reads invoice, extracts vendor, amounts, line items
Cross-reference with PO, check for duplicates, verify totals
Auto-approve under threshold or queue for human review
Create entry in ERP, schedule payment, archive document
Customer Service
Support ticket or chat message arrives
AI assesses sentiment, urgency, and topic classification
Search knowledge base, past tickets, customer history
AI responds directly or escalates with full context
Monitor resolution, request feedback, update knowledge base
Legal & Procurement
New contract submitted for review
AI identifies key terms, obligations, unusual clauses
Check against standard terms and previous agreements
Generate risk assessment with specific concerns flagged
Produce summary for legal team with recommendations
Human Resources
New hire record created in HRIS
Generate accounts, assign equipment, setup workspace
Create custom training path based on role
AI assistant answers questions throughout first 90 days
Track progress, flag concerns, report to manager
Insurance
Claim submitted via portal, email, or phone transcription
AI reads documents, photos, police reports, medical records
Verify policy coverage, check for pre-existing conditions, confirm dates
Fraud scoring, damage estimation, liability determination
Auto-approve simple claims or route to adjuster with full analysis
Dynamic paths based on AI analysis results, data values, or business rules. Workflows adapt to each unique situation.
Configurable checkpoints where humans review, approve, or override AI decisions. Gradual automation as trust builds.
Automatic retry logic, fallback paths, and graceful degradation. Workflows don't fail silently.
Time-based execution, event triggers, webhook integration, and file watchers to start workflows automatically.
Every decision, action, and data transformation logged for compliance, debugging, and continuous improvement.
Execute independent steps simultaneously. Handle high-volume batch processing efficiently.
We've developed specialized frameworks that extract maximum value from local AI models while giving you complete transparency and control.
Generate Custom AI Models From Scratch
PascalGPT is our flagship framework for creating completely custom AI models tailored to your organization's specific needs. Unlike fine-tuning existing models, PascalGPT enables you to build purpose-built AI systems from the ground up.
Built with enterprise Object Pascal for maximum performance and reliability, PascalGPT integrates seamlessly with existing business systems while providing unparalleled customization capabilities.
Gather your proprietary documents, databases, and domain knowledge
Custom layer configuration, attention mechanisms, and tokenization
Train exclusively on your data with full control over parameters
Deploy locally with enterprise integration and monitoring
AI That Improves Continuously
Our Self-Learning AI framework enables models to improve automatically based on feedback and new data without requiring constant manual retraining. The system learns from corrections, user interactions, and outcome data to continuously optimize its performance.
Perfect for dynamic business environments where requirements evolve and historical patterns change. Your AI adapts alongside your business.
Track model outputs and user interactions
Gather corrections and outcome data
Identify improvement opportunities
Incrementally improve the model
Maximize Small Model Performance
Our advanced prompting framework is specifically designed to extract maximum performance from smaller, local models. Through sophisticated prompt engineering, chain-of-thought techniques, and context optimization, we achieve results that rival much larger cloud models.
The system includes pre-built prompt templates, dynamic context injection, and automated prompt optimization based on task outcomes.
Define the AI's role and expertise
Step-by-step reasoning instructions
Curated input/output pairs
Structure and format specifications
The actual task or question
High-quality, consistent results from smaller models
Retrieval-Augmented Generation
Our RAG framework enables AI models to access and utilize your organization's knowledge base in real-time. By combining retrieval systems with generation capabilities, your AI can provide accurate, up-to-date answers grounded in your actual documentation and data.
Perfect for customer support, internal knowledge management, technical documentation, and any scenario where accuracy and currency of information are critical.
Split documents and create semantic vectors
Store and index for fast retrieval
Accurate answers grounded in your data with source citations
Move beyond simple Q&A to AI agents that reason, plan, use tools, and execute complex tasks autonomously.
A chatbot responds to questions. An agent accomplishes goals. Agents can break down complex tasks, decide which tools to use, take actions in external systems, evaluate results, and iterate until the job is done.
Our agent framework gives AI the ability to think step-by-step, access your business tools and data, and work autonomously while maintaining human oversight for critical decisions.
Complex tasks are best handled by specialized agents working together. Our coordinator-agent architecture mirrors how human teams operate โ with a manager who delegates to specialists.
"Analyze our Q3 sales data, compare it to competitors, and prepare a board presentation with recommendations."
Parse request, identify required outputs
Break into subtasks, determine sequence
Assign to specialized agents
Combine results into final output
Queries databases, performs calculations, identifies trends
Searches knowledge bases, gathers competitive intelligence
Writes narratives, creates presentations, formats reports
Analyzes scenarios, generates recommendations, evaluates options
Complete board presentation with data analysis, competitive comparison, visualizations, and strategic recommendations โ all generated autonomously.
Agents equipped with specific tools โ calculators, code execution, API calls, database queries. They decide which tool to use and how to interpret results.
Reason-and-Act agents that think through problems step-by-step, observe results, and adjust their approach. Excellent for complex, ambiguous tasks.
Create comprehensive plans before acting, then execute methodically. Best for tasks where upfront planning prevents costly mistakes.
Maintain extended dialogues, remember context, and guide users through complex processes interactively while taking actions behind the scenes.
Continuously watch for specific conditions, anomalies, or events. Take action or alert humans when thresholds are crossed.
Agents with defined personalities, expertise areas, and communication styles. Consistent brand voice across all interactions.
Autonomous AI requires careful guardrails. Our agent framework includes comprehensive safety measures.
Define exactly what actions each agent can and cannot take. Prevent unintended system modifications.
Require human approval for high-impact actions. Configurable thresholds for different risk levels.
Cap execution time, API calls, and compute usage. Prevent runaway processes.
Every decision, tool use, and action recorded. Complete transparency for compliance and debugging.
Undo agent actions when needed. Reversible operations wherever possible.
Agents only access data and systems explicitly granted. Principle of least privilege.
Retrieval-Augmented Generation connects AI to your actual data, dramatically improving accuracy and eliminating hallucinations.
AI relies only on training data. It doesn't know your products, policies, or proprietary information. It may confidently give wrong answers ("hallucinations") because it's guessing.
AI retrieves relevant information from your documents before responding. Answers are grounded in actual sources, with citations. No guessing โ just facts from your knowledge base.
Your documents (PDFs, Word files, web pages, databases) are processed and split into manageable chunks. We preserve document structure and metadata.
Each chunk is converted into a numerical vector (embedding) that captures its semantic meaning. Similar content gets similar vectors, enabling meaning-based search.
Embeddings are stored in a vector database optimized for similarity search. This enables finding relevant content in milliseconds, even across millions of documents.
When a user asks a question, their query is also converted to an embedding. The system finds the most semantically similar chunks from your knowledge base.
Retrieved chunks are provided to the AI along with the user's question. The AI generates a response grounded in your actual documents, with source citations.
RAG quality depends on implementation details. Here's how we optimize for accuracy:
We don't just split on character count. Our chunking respects document structure โ paragraphs, sections, tables stay intact. Overlapping chunks ensure no information falls through the cracks.
Pure semantic search can miss exact matches. We combine vector similarity with keyword search (BM25) for the best of both worlds. Technical terms and proper nouns don't get lost.
Initial retrieval casts a wide net. A second-stage reranker evaluates the top candidates more carefully, ensuring the most relevant chunks rise to the top.
Not all documents are equally relevant. We use metadata (date, department, document type, permissions) to filter results before semantic search even begins.
Small chunks are good for matching, but AI needs context. We retrieve the surrounding content (parent chunks) to give the AI the full picture.
User queries are often incomplete. We automatically expand queries with synonyms, related terms, and reformulations to catch relevant documents the original query might miss.
We don't just deploy and hope. Our RAG implementations include comprehensive monitoring and continuous improvement.
Retrieved documents are actually relevant to the query
Responses accurately reflect source documents
Time from question to retrieved context
AI invents information not in sources
Retrieval quality scoring on every query
User feedback tracking (thumbs up/down)
Failed query analysis and retraining
Source coverage gap identification
Stale content detection
Performance regression alerts
Medical professionals query clinical guidelines, drug interactions, and research papers. RAG ensures answers cite specific sources for verification.
Attorneys search case law, contracts, and regulations. RAG retrieves relevant precedents and clauses with exact citations.
Agents and adjusters instantly access policy details, coverage terms, and claims procedures. RAG provides accurate answers grounded in actual policy documents.
Support teams query product documentation, troubleshooting guides, and past tickets. RAG provides accurate solutions grounded in official docs.
Employees access policies, procedures, and institutional knowledge. RAG makes the entire organization's knowledge instantly searchable.
Insurance companies handle massive volumes of documents, complex policy rules, and high-stakes decisions. AI transforms every stage of the insurance lifecycle.
Transform claims from a bottleneck into a competitive advantage with intelligent automation that handles routine claims instantly while preparing complex cases for adjusters.
AI-powered intake via phone, web, or mobile. Natural language understanding captures all claim details, asks clarifying questions, and creates structured claim records automatically.
Automatically extract data from police reports, medical records, repair estimates, photos, and correspondence. OCR and AI combine to understand any document format.
Instantly match claims against policy terms. AI identifies applicable coverages, deductibles, limits, and exclusions โ citing specific policy language.
Analyze photos of vehicle damage, property damage, or medical documentation. AI provides preliminary damage estimates and flags cases needing expert review.
Simple, clear-cut claims are approved and paid without human intervention. Configurable rules ensure appropriate oversight for complex cases.
Catch fraud that humans miss while reducing false positives that slow down legitimate claims. AI analyzes patterns across your entire claims history.
Identify suspicious patterns across claimants, providers, repair shops, and attorneys. Detect organized fraud rings operating across multiple claims.
Flag claims that deviate from expected patterns โ unusual timing, inflated damages, inconsistent narratives, or suspicious documentation.
Uncover hidden connections between claimants, witnesses, and service providers that suggest coordinated fraud schemes.
Detect altered photos, fabricated receipts, and suspicious document metadata. Compare against known legitimate documents.
Every claim receives a fraud risk score with explainable factors. SIU teams focus on highest-risk cases with AI-prepared evidence summaries.
Make faster, more accurate underwriting decisions with AI that analyzes applications, assesses risk, and recommends pricing โ all grounded in your guidelines.
Extract and validate information from applications, supporting documents, and third-party data sources. Identify missing information and inconsistencies.
Evaluate risk factors against your underwriting guidelines. AI provides risk scores with detailed explanations citing specific guideline sections.
Suggest premiums based on risk analysis, competitive positioning, and historical loss data. Underwriters see AI reasoning alongside recommendations.
Quickly determine if a submission fits your risk appetite. Decline clearly out-of-appetite risks early, saving underwriter time for viable opportunities.
Ensure every decision aligns with current underwriting guidelines. AI flags deviations and documents rationale for exceptions.
Empower agents with instant access to policy information and give customers self-service options that actually work โ all while maintaining compliance.
Agents and customers ask questions in plain language and get accurate answers citing specific policy provisions. "Am I covered if..." questions answered instantly.
Customers check claim status, submit additional documents, and get updates through conversational AI โ 24/7 availability without hold times.
Guide prospects through quoting process, explain coverage options, and capture application information conversationally.
Process endorsements, add vehicles, update beneficiaries, and handle routine policy changes without agent intervention.
During calls, AI listens and surfaces relevant policy details, suggests responses, and auto-populates forms โ making agents more effective.
Automate the document-heavy work of policy administration while ensuring accuracy and regulatory compliance.
Automatically generate policy documents, endorsements, certificates, and correspondence using approved templates and policy data.
Analyze renewal portfolios, identify retention risks, recommend pricing adjustments, and generate renewal offers at scale.
Validate policy forms against state regulations. Ensure required language is present and prohibited terms are absent.
Identify and correct data inconsistencies across policy admin systems. Maintain clean, accurate policy records.
Turn your claims and policy data into actionable insights with AI that can analyze trends, answer ad-hoc questions, and generate reports.
Identify emerging loss patterns before they impact results. AI monitors claims data and alerts you to developing trends.
"Show me auto claims in Florida with severity over $10K last quarter" โ ask questions in plain English and get instant answers.
Automatically generate board reports, regulatory filings, and management dashboards from your data.
Forecast claim frequency and severity, predict customer churn, and model portfolio performance under different scenarios.
Insurance data is highly sensitive โ PHI, PII, financial records. Our local AI deployment means your policyholder data never leaves your infrastructure. Full HIPAA, SOC 2, and state privacy regulation compliance. No data sent to external APIs. Complete audit trails for regulatory examinations.
We don't just implement solutions โ we ensure your team understands and can maintain them. Our comprehensive training programs cover everything from basic concepts to advanced model development.
A comprehensive introduction to AI concepts, terminology, and capabilities designed for business stakeholders and technical teams new to AI. Understand what AI can and cannot do, how to identify valuable use cases, and how to evaluate AI solutions.
Learn to write prompts that extract maximum performance from any AI model. Master chain-of-thought reasoning, few-shot learning, and context optimization techniques.
Hands-on training for implementing Retrieval-Augmented Generation systems. Learn to connect AI models to your knowledge base for accurate, grounded responses.
Advanced training for teams who want to customize and optimize AI models. Learn fine-tuning techniques, dataset preparation, and performance optimization.
Comprehensive training on using the PascalGPT framework to build custom AI models from scratch. For teams ready to create truly bespoke AI solutions.
We're not just another AI consulting firm. We're specialists in making local AI work for enterprise environments.
Your data never leaves your infrastructure. Complete air-gap capability for the most sensitive environments.
No one-size-fits-all. Every implementation is customized to your specific business requirements and constraints.
Battle-tested tools developed through years of real-world enterprise AI implementations.
We don't create dependencies. You'll fully understand and control your AI systems after we're done.
Specialists in maximizing performance from resource-efficient models that run on standard hardware.
Seamless integration with SQL Server, Oracle, SAP, and other enterprise systems you already use.
Self-learning systems that get better over time without constant manual intervention.
Long-term partnership with training, updates, and assistance as your AI needs evolve.
Let's discuss how Vectanova can implement the right AI solution for your needs โ whether local, cloud, or hybrid.