Private AI Infrastructure

AI that respects
your privacy

Larenda powers intelligent features for MileChart on dedicated hardware in a secure, controlled environment. Your data never leaves our infrastructure or gets shared with third-party AI providers.

IRS Compliance

Validates trip records against IRS documentation requirements before tax season.

Fully Private

Runs on dedicated hardware. No cloud AI services, no data sharing, no exceptions.

Conversational AI

Ask questions about your mileage data in plain English and get instant answers.

Capabilities

Intelligent mileage auditing

Larenda analyzes your mileage records using advanced language models to identify potential issues before tax season.

IRS Compliance Checking

Validates that your trip records meet IRS documentation requirements for mileage deductions.

Pattern Detection

Identifies unusual patterns, duplicate entries, or missing information across your records.

Gap Analysis

Flags periods with missing trips or odometer inconsistencies that could raise questions.

Deduction Optimization

Ensures you are capturing all eligible business miles for maximum tax benefit.

How many business miles did I drive in Q3?
You drove 4,283 business miles in Q3 2025 across 147 trips. That is an estimated $2,912 deduction at the current IRS rate of $0.70/mile.
Am I missing any trips between my odometer readings?
I found 2 gaps: Sep 5-8 (odometer shows 342 unaccounted miles) and Sep 22-23 (127 miles). Would you like help reconstructing these?
Multi-Model Architecture

The right model for every task

Larenda automatically selects the appropriate model based on your request, balancing speed and thoroughness.

Model Purpose Response Time
Fast Quick questions, simple lookups 1-2 seconds
Balanced Complex analysis, follow-up questions 5-10 seconds
Deep Analysis Comprehensive audits, detailed reasoning 30-60 seconds
Privacy & Security

Your data stays private

Unlike applications that send your data to OpenAI, Google, or other cloud AI providers, Larenda processes everything on dedicated hardware.

Data Minimization

  • First name only — no full legal name needed
  • No home address — locations remain anonymous
  • No payment details in AI processing
  • No email in AI context

What We Never Share

  • GPS coordinates and addresses
  • Travel patterns and routines
  • Vehicle information (VIN, plates)
  • Financial data and tax information

Encryption & Access

  • TLS 1.3 encryption for all data in transit
  • Bearer token authentication for API access
  • IP-restricted access to authorized servers
  • Ephemeral chat sessions by default

Isolated Infrastructure

  • Dedicated hardware under our direct control
  • No multi-tenant environment
  • No data commingling with other services
  • Regular security audits and updates

No AI Training on Your Data

Your mileage data, trip patterns, and conversations are never used to train AI models. Larenda uses pre-trained open-source models that are not fine-tuned on user data.

Technical Architecture

Built for performance and reliability

Purpose-built infrastructure optimized for AI workloads with enterprise-grade monitoring.

Dedicated Hardware

  • High-performance GPU acceleration
  • Large memory capacity for complex analysis
  • NVMe storage for rapid model loading
  • Redundant systems for reliability

Monitoring

  • Real-time health monitoring with alerts
  • GPU temperature and utilization tracking
  • Automatic service recovery on failure
  • Status dashboard for transparency

API-First Design

  • RESTful endpoints with JSON responses
  • Streaming support for real-time output
  • Comprehensive error handling
  • Rate limiting for fair usage
How It Works

How MileChart uses Larenda

Seamless integration that keeps your data secure at every step.

Annual Audit Reports

1

Receive

Anonymized trip and odometer data sent securely

2

Analyze

Records checked against IRS requirements

3

Identify

Potential red flags and missing documentation flagged

4

Recommend

Actionable improvements generated

5

Report

Results returned to MileChart for final report

Interactive Q&A

1

Ask

Your question is sent with relevant context

2

Process

Larenda selects and runs the appropriate model

3

Stream

Response streams back in real-time

4

Forget

No conversation history retained on Larenda

Compliance

Standards and retention

Larenda is trained on current IRS guidelines and follows strict data handling practices.

IRS Documentation

  • Contemporaneous records: date, destination, purpose, miles
  • Adequate records: written evidence near time of expense
  • Substantiation requirements: supporting documentation

Data Retention

  • AI conversations: not retained after session ends
  • Audit results: stored in MileChart per your settings
  • System logs: minimal, auto-purged

Continuous Improvement

  • Accuracy of IRS compliance checking
  • Understanding of tax law changes
  • Response quality and helpfulness
  • Processing speed and efficiency
FAQ

Frequently asked questions

Common questions about Larenda's privacy, security, and capabilities.

Is my location data safe?
Yes. Your GPS coordinates and addresses are processed only for the specific analysis you request, then discarded. They are never stored on Larenda or used for any other purpose.
Who can access my data?
Only MileChart's authorized servers can communicate with Larenda. There is no admin interface, no employee access, and no way for humans to view your conversations.
What AI models does Larenda use?
Larenda uses open-source large language models from the Llama and Qwen families. These models run locally on our hardware — no external API calls are made.
Is Larenda always available?
Larenda is designed for high availability with automatic monitoring and recovery. Scheduled maintenance windows are rare and announced in advance.
Can I opt out of AI features?
Yes. AI-powered features in MileChart are optional. You can use the core mileage tracking functionality without engaging Larenda services.
How is this different from ChatGPT or other AI assistants?
ChatGPT and similar services process your data on shared cloud infrastructure operated by third parties. Larenda runs on dedicated hardware that we control, ensuring your data never leaves our infrastructure or gets used to train AI models.