DocRocket is an enterprise-grade AI portal that reads, classifies and indexes your full back-catalogue of documentation — scanned, handwritten, or born-digital — and pushes clean, structured outputs into your operational systems.
Legacy documentation is the single biggest blocker to a modern DMS migration. The information is there — it's just not readable by software. DocRocket fixes that.
DocRocket combines AI-driven OCR, handwriting recognition and document classification into a single enterprise web portal. Configure once, then ingest documents on an ongoing basis — forever.
Read native PDFs, scanned images, and handwritten notes. Every output carries a confidence score so you know what's reliable and what needs a human eye.
Documents are auto-classified against your taxonomy (62 types × 17 disciplines pre-seeded). Customise types, attributes and extraction hints with no code.
Every classified document yields a structured record: reference number, dates, asset IDs, certificate numbers and any custom field you define.
Anything below confidence threshold drops into a dedicated review queue. Approve, correct, re-classify or reject — with SLA tracking and full audit log.
Push approved records straight into your DMS via REST API. OAuth 2.0, API key or bearer token. Field mapping is configured in the UI — no integration code required on your side.
AES-256 at rest, TLS 1.3 in transit, role-based permissions, full audit log, GDPR-compliant retention, and admin-controlled decommission mode.
Every document moves through the same pipeline. The system handles batches of thousands without blocking the UI — and a live dashboard shows queue depth, throughput and per-stage status in real time.
File detection, image normalisation, page splitting
Full optical character recognition across all scans
Handwriting detection & recognition with confidence score
AI maps to your taxonomy using example docs as context
Structured fields pulled per document type
Confidence and completeness metrics calculated
Processed / Needs Review / Failed status assignment
Out of the box, DocRocket understands the language of engineering operations — from Test & Commissioning reports to Hydrographic surveys to Statutory Inspections. Every type is fully editable.
The reference number is generated at classification time and becomes the document's identity throughout the system, in all exports, and in every push to your DMS. The pattern is human-readable, sequential per discipline × type, and zero-padded.
Every document type, attribute, extraction hint and AI behaviour is configured through a clean admin UI. Adding a new type or tweaking a field is a 60-second job.
The master document table is filterable, sortable and inline-editable. Click any row to open a side-by-side detail view — original on the left, structured fields on the right. Make corrections, add notes, re-classify, or push to your DMS — all in one place.
DocRocket is designed for multi-user enterprise teams. Every view, edit, export and API push is recorded with user account, timestamp, action type and document reference.
Unlike a black-box AI tool, DocRocket exposes the actual classification prompt in the admin UI. Edit it to match your terminology, tune for your industry, or roll back to any previous version with one click.
DocRocket isn't a silo — it's a feeder. Every record can flow out as a structured export or stream live into your downstream systems.
Full table or filtered subset. Column selection, separate sheets per discipline, summary tabs and saved presets. File path column included for DMS import mapping.
Map extracted attributes to your DMS schema directly in the UI. Push on approval, scheduled nightly, or manual bulk. Every push logged with success/failure and retry capability.
Every byte encrypted, every action audited, every retention policy configurable. DocRocket is built to pass security review, not work around it.
All processed documents and metadata encrypted on storage. Keys rotated on schedule.
Every connection — UI, API, export — protected end-to-end with modern TLS.
Every view, edit, export and API push recorded with user, timestamp and document reference.
Retention policies set per document type to match GDPR, sector regulation or internal policy.
Four roles enforce who can upload, review, export, configure or decommission. No bypass paths.
One-click admin action purges all data and removes infrastructure config when the project ends.
A predictable, phase-gated programme designed to land working software in your hands as fast as possible — and to be confident, observable and safe at every step.
We work directly with your team to confirm document types, attributes, asset ID structures, DMS target schema and integration end-points. Output: configured taxonomy + signed-off field mappings.
Core platform deployed. Document types and attributes seeded. AI classification prompt tuned to your terminology. Demo Mode wired up with synthetic samples so the portal looks fully operational from day one.
Process a representative batch of your real documents. Tune confidence thresholds, extraction hints and example documents based on observed results. Reviewer workflow tested end-to-end.
REST connector configured against your live DMS. Field mappings, authentication and push schedules validated. Go-live for the full document migration with monitoring and on-call support.
DocRocket becomes a standing operational tool. New document types added as your needs evolve. Quarterly reviews of confidence trends, throughput and accuracy. Decommission mode available on project completion.
DocRocket is delivered as a productised platform with a fixed setup engagement and an ongoing operational fee. You get a configured portal, not a custom build — which means faster delivery and a more predictable cost.
Book a 30-minute discovery call. We'll walk through your taxonomy, your DMS target, and your real document mix — and come back with a tailored engagement plan within five working days.