Aelix Echo · Document Intelligence
Documents that
read themselves.
Every contract, every invoice, every claim, every form. Aelix Echo ingests, classifies, extracts, verifies, and routes the documents your business runs on, at enterprise scale and with the audit trail to prove it.
The thesis
A document is just structured data waiting for someone to type it in.
The cost of that typing, in time, in errors, in re-keys, in delayed downstream work, is the cost most operations teams have stopped measuring because it just lives inside everything. We measure it, then we replace it.
How the engine works
Any format the work arrives in.
PDFs, scans, photos, emails, spreadsheets, EDI, faxes, the document type your team complains about every Monday. We meet documents where they land, before they become a queue.
Know what it is before deciding what to do with it.
Document-type detection, sub-type routing, priority and urgency signals. The classifier is the first thing we tune for your domain, because every downstream decision rides on it.
Fields, tables, signatures, line items, every cell.
Layout-aware extraction across forms, contracts, and unstructured text. Tables come out as tables, signatures as signatures, dates as ISO. The output is what a downstream system can consume, not a transcript.
Confidence per field, validated against the rules that matter.
Per-field confidence, cross-field consistency, lookups against your master data, and policy checks before anything posts. The 2% the model is unsure about goes to a human queue, with reasoning attached.
Into the system that needs it, with the audit it requires.
ERPs, CRMs, claims systems, ticketing, mainframes, custom internal APIs. Every routed payload is timestamped, hash-sealed, and traceable to the source page it came from.
A glimpse of the work
Extracted
Live extraction trace · invoice
Outcomes
80%
Reduction in document handling time
99.5%+
Field-level extraction accuracy
Days → mins
Typical document turnaround
Aelix Echo internal engagement benchmarks
Built for every sector
Seven industries, the documents that run them, and the time we give back.
How we work
A short discovery, a measured rollout, and a long, quiet operate.
Discover
We sit with the team that processes the documents today, watch the work, and find where time and accuracy quietly leak.
Train
Domain models fine-tuned on your document mix. Layouts, vocabulary, and edge cases captured before we go anywhere near production.
Deploy
Behind a feature flag, with confidence thresholds set conservatively. We watch the first thousand documents together, not over email.
Operate
Exception queues, model recalibration, regression tests against real traces. The system gets quietly better while the team gets visibly faster.
A note from the practice
The model isn't done when it's accurate. It's done when the field it's unsure about gets the right human, with the right context, before the downstream system needs an answer. That's the part we work on after the easy 98%.
The Aelix Echo document practice
When a person shouldn't be typing it in, we're here.
45-minute working session · One real document type, extracted live