Aviation Intelligence

Turning Aircraft Records into Intelligence

Aircraft lease transitions are still driven by manual review, fragmented records, and late-stage surprises.

After more than 20 years working directly in deliveries and redeliveries, one thing is clear: the problem is not lack of data — it's lack of structure, consistency, and visibility.

Aviint is being built to solve that.

Transition Records Tool — Dashboard
KEY CLAUSES EXTRACTED
45 Clauses Analyzed
DRAFT OIL ISSUES
29 Issues Identified
AD UPDATES
12
ASSIGNED
8
What Aviint Does

From Raw Records to Structured Intelligence

Aviint transforms large, unstructured aircraft record sets into structured, reviewable, and defensible outputs.

Delivery Bible Structure

Organizes thousands of documents into standardized Delivery Bible format, with consistent naming and indexing aligned to lessor requirements.

Technical Status Extraction

Extracts and standardizes AD, SB, LLP, and OCCM status from unstructured sources — creating clean, reviewable datasets.

Early Issue Detection

Identifies gaps, inconsistencies, and risk areas early — before they become critical findings late in the transition process.

Draft Output Generation

Generates draft Open Item Lists, standardized status reports, and structured datasets — ready for review and delivery.

How It Works

Three Stages. One Structured Output.

1

Input — Unstructured Records

  • 10,000+ PDFs
  • Mixed formats and naming
  • Incomplete or inconsistent data
  • No clear structure
2

Processing — Aviint Engine

  • Document classification
  • Data extraction (AD, SB, LLP, OCCM)
  • Cross-checking and validation
  • Issue detection
3

Output — Structured, Reviewable Data

  • Delivery Bible structure
  • Draft Open Item List
  • Standardized status reports
  • Clear traceability to source records
Built for Real Transitions

Designed for the Environment Where It Matters

Typical transition reality is nothing like generic document management scenarios. Aviint is designed specifically for this environment — not generic document management systems.

Most systems focus on storing records. Aviint focuses on understanding them.

10–15k
documents in a typical transition — mixed sources, inconsistent naming, no clear structure
400–600
findings expected per aircraft — many discovered late without structured review
70+
aircraft transitions worked across by Aviint's founder — the experience that shaped this tool
Why Aviint is Different

Built by Someone Who Has Done the Work

Designed for how transitions actually happen — not how systems assume they should.

Domain Experience

  • Worked across 70+ aircraft transitions
  • Reviewed thousands of record sets under delivery pressure
  • Seen exactly where and why issues emerge

Aviint's Core Principles

  • Structure over storage
  • Early issue detection over late surprises
  • Transparency and traceability in every output
  • Practical workflows, real-world problem solving
Example Use Case

737-800 Redelivery — With and Without Aviint

A lessor receives records for a Boeing 737-800 ahead of redelivery. ~12,000 documents received from mixed sources. Status reports provided separately. Known risk of missing documentation and inconsistencies.

Without Aviint

  • Manual sorting into Delivery Bible
  • Cross-checking status vs records by hand
  • Identifying missing documents manually
  • Building OIL from scratch
  • 400–600 findings, many discovered late
  • High pressure close to delivery

With Aviint

  • All records uploaded into Aviint workspace
  • Documents classified and mapped automatically
  • AD, SB, LLP, OCCM extracted and structured
  • Gaps, inconsistencies, and risk areas flagged early
  • Draft OIL and status tables generated
  • Full traceability to source records
Step by Step with Aviint

Step 1 — Upload

All records uploaded into Aviint workspace in their original state.

Step 2 — Structure

Documents classified and mapped. Naming standardized. Index generated.

Step 3 — Extract

AD, SB, LLP, OCCM extracted and organized into structured datasets.

Step 4 — Detect

Missing certificates, back-to-birth gaps, status inconsistencies, and unsupported compliance claims flagged.

Step 5 — Output

Draft OIL, structured status tables, and review-ready datasets delivered.

Faster initial review

Earlier identification of critical issues

Reduced manual workload

Improved consistency and traceability

Interested in Early Access?

We are working with a small group of early users. If you are working on aircraft transitions, we would like to hear from you.

Get in Touch →
About

About Aviint

Aviint (Aviation Intelligence) is focused on improving how aircraft technical records are understood, structured, and validated during lease transitions. The goal is not to replace engineers — but to remove the manual, repetitive work that slows them down and introduces risk.

Founder

Built on 20+ Years of Direct Experience

JG

Independent Technical Consultant

Founder, Aviint
20+
Years of experience
70+
Aircraft transitions

Extensive experience supporting major lessors across deliveries and redeliveries. Deep specialization in aircraft technical records and status validation. This experience directly shapes Aviint — practical workflows, real-world problem solving, and outputs that match actual transition requirements.

Our Approach

Structure, Early Detection, Traceability

Structure over Storage

Most systems focus on storing records. Aviint focuses on understanding them — imposing the structure needed to make large record sets actually reviewable.

Early Issue Detection

Identifying risk areas early — before they become critical findings late in the transition — is the highest-value activity in any delivery process.

Transparency and Traceability

Every output Aviint generates maintains clear traceability to source records, so findings can be verified, disputed, or escalated with confidence.

Tools & Products

A Suite Built for Aircraft Transitions

Aviint is developing a suite of tools focused on aircraft technical records intelligence, starting with lease transitions.

Records Structuring Engine

Automatically organizes large volumes of records into consistent, reviewable structures.

  • Delivery Bible format
  • Standardized naming and indexing
  • Lessor-specific structures

Status Extraction & Normalization

Extracts and structures key technical data from unstructured sources into clean, standardized datasets.

  • Airworthiness Directives (AD)
  • Service Bulletins and Modifications
  • LLP and Hard Time components
  • OCCM tracking

Issue Detection Engine

Identifies high-risk issues automatically, flagging them for review before they escalate.

  • Missing documentation
  • Back-to-birth gaps
  • Status inconsistencies
  • Unsupported compliance

Draft Output Generation

Automatically generates structured outputs ready for review, challenge, and delivery.

  • Draft Open Item Lists (OIL)
  • Status reports
  • Structured datasets for review

Lessor Template Mapping

Supports the different formats and requirements of different lessors, without manual reformatting.

  • Delivery Bible formats
  • Naming conventions
  • Reporting structures
In
Development

Development Status

Aviint is currently in development. We are working with early users to validate workflows and outputs. If you are working on aircraft transitions and interested in early access or collaboration, we would be glad to connect.

Contact Us →
Contact

Get in Touch

We would be glad to connect — whether you are preparing for a transition, managing technical records, or simply curious about what Aviint is building.

We are particularly interested in hearing from:

  • Lessors preparing for delivery or redelivery
  • Airlines managing technical records
  • Those interested in early access to Aviint

Reach us directly at

jokull@northern.aero

We aim to respond within one business day.