Sovereign Document
Intelligence.
A private-cloud vision-AI pipeline engineered to extract piping, instrument, and line symbols from dense technical drawings. Securely deployed behind your firewall with zero external API dependencies.
The Compliance
Conflict.
Heavily regulated organisations in oil and gas, chemicals, utility networks, and civil infrastructure have potential restrictions from sending proprietary data to third-party public cloud AI.
Because cloud APIs could be forbidden, engineers and drafters must manually transcribe data, tags and equipment symbols into spreadsheets, a process that is slow, expensive, and error-prone.
`extract.solved` resolves this by running a modular, multi-pass pipeline hosted directly on your secure server infrastructure or private-cloud tenancy. By decomposing the visual analysis, smaller open-source models close most of the accuracy gap with frontier models, keeping sensitive data strictly behind your firewall.
Private Security Blueprint
Firewall Integrity
Zero external API transmissions. Designed for secure, self-hosted deployment, capable of fully air-gapped operations.
Engineered Context Splits
By dividing drawings into overlapping grids, local vision models execute narrow tasks at a precision level that closes most of the gap with much larger cloud models.
Fixed Operating Costs
Eliminates variable token fees. Marginal processing cost approaches zero once local host hardware is established.
Core Capabilities
A sovereign extraction engine architected specifically for high-compliance technical documents:
Multi-Pass Inference Pipeline
Instead of forcing one model to read a massive, detailed schematic at once, the engine tiles the drawing to run a 6-stage pipeline (from Legend Parse to Proximity Line Catalogue matching). Each step writes status logs independently, allowing graceful degradation on corrupted tiles.
Deterministic Lookup Dictionary
Pre-AI filtering resolves known identifiers immediately. Tags matching standard industry prefixes (e.g. ISA-5.1 containing 250+ entries) or custom, client-specific override configurations bypass AI inference entirely, slashing compute latency and enabling deterministic, rule-based classification, removing AI guesswork entirely for recognised naming conventions.
Interactive Review Workspace
Side-by-side verification interface. Spatial coordinates extracted during pipeline processing map bounding-box vectors directly onto an interactive SVG drawing viewport. Hovering over data rows instantly highlights and zoom-aligns component symbols on the drawing.
Audit-Grade Version Control
Built to survive rigorous compliance audits. The database logs the immutable initial AI output separate from human edits, records row-level verification timestamps, and duplicates the active workspace state into an archived historical version upon reopen.
Inside the Engine
Interactive simulations of core architectural systems running inside the sovereign extraction platform.
Interactive Bounding Workspace
Hover over rows in the database table to locate items immediately on the blueprint grid. Clicking components identifies coordinates and highlights their verification status.
Multi-Pass Progress Stepper
Execute the extraction pipeline. Discovered items run against the rules database first, allowing matching symbols to bypass AI classification entirely.
Pipeline Stages
Linear vs. Sovereign Costs
Slide to modify document processing volume. Notice that cloud models carry a linear per-page cost penalty, whereas self-hosted infrastructure costs remain entirely flat.
Compliance State Machine
Reopening a finalized document archives the active state into an immutable historical version before edits resume, guaranteeing a tamper-proof audit trail.
Domain Portability
P&ID extraction is simply the proof case, not the limit. The engine features exactly three domain-specific plug points, allowing it to adapt to any visually structured document format.
The Vocabulary File
Defines tag mappings and validation syntax. Swapping the industry JSON file immediately targets a different vocabulary (e.g. electrical keys or contract clauses).
The Output Schema
Controls fields extracted. Switch from drawing-specific spatial coordinates to compliance metrics or invoice fields without re-architecting the core engine.
The Ingestion Layout
Adjusts visual expectations. Configures the system to tile giant technical layouts or page-scroll through multi-page compliance checklists.
Is extract.solved Right for You?
We believe in hyper-focused tooling. This platform is engineered for a very specific operational shape.
Best Fit
- 01. Heavy Industries & Utilities: Energy, oil and gas, chemical plants, water authorities, and civil infrastructure.
- 02. Rigid Firewalls: Organisations legally restricted from uploading core IP to third-party public AI tenancies.
- 03. Scale Requirements: High-volume backlogs where linear cloud AI pricing represents significant ongoing expense.
- 04. Standardised Schematics: Layouts built around standard keys (e.g. ISA-5.1) or structured legend guides.
Poor Fit
- 01. Transactional Documents: Simple receipts, standard invoices, or text-heavy PDF transcripts.
- 02. Ad-Hoc Hand-written Files: Scattered, unstructured notes lacking standard symbols or spatial reference points.
- 03. Cloud Preference: Organisations with zero data sovereignty restrictions who prefer API-integrated systems.
- 04. Small-Scale Scopes: Projects with under 500 documents where the fixed server deployment overhead outweighs human manual costs.
Contain the Data.
Stop compromising security for automation. Deploy an extraction pipeline that keeps 100% of your plant drawings behind the firewall, at flat operating infrastructure costs.