Data Archaeology
Your History
Is Your Edge.
Decades of institutional knowledge sit locked in paper files, legacy databases, and unstructured archives across Caribbean, LATAM, and African organisations. Data Archaeology extracts, structures, and validates that data for AI readiness - at 40x the speed of manual digitisation with 98% field extraction accuracy.
Multi-Format
Document Ingestion
Data Archaeology handles the full spectrum of legacy document formats: handwritten ledgers, typewritten forms, scanned PDFs, microfiche exports, XML database dumps, and proprietary formats from legacy enterprise systems no longer in active support. Documents do not need to be clean or consistent. The extraction pipeline is designed for real-world archival quality - not controlled lab conditions.
Regional Language
and Script Support
Caribbean and LATAM archives contain documents in English, Spanish, French, Dutch, Creole variants, and Portuguese - often mixed within a single file. African archives add Arabic, Swahili, Amharic, Hausa, and dozens of additional languages. Data Archaeology's extraction models are trained on regional document corpora, not generic OCR engines that fail on Caribbean legal handwriting or West African administrative forms.
Structured Output
Validation
Extracted data is validated against configurable schema rules before delivery. Cross-field consistency checks catch transcription errors that visual review misses. Date format normalisation, entity resolution, and duplicate detection run automatically. The delivered dataset includes a per-record confidence score and a validation report identifying fields that fell below threshold - so your team knows exactly where to focus human review.
Lineage and
Provenance Tracking
Every extracted record carries a lineage chain: source document identifier, extraction timestamp, model version, confidence score, and any human review flags. When a regulator or auditor asks where a data point came from, you can answer precisely. This is not a nice-to-have for regulated industries - it is the difference between a dataset you can use in a credit model and one that sits in a compliance quarantine for eighteen months.
Incremental
Pipeline Architecture
Data Archaeology is not a one-time digitisation project. New documents flow into the pipeline continuously via secure upload, API integration, or physical document scanning partnerships. The extracted dataset grows in real time. Organisations that have been accumulating paper records for decades do not stop accumulating them. The pipeline handles ongoing intake alongside the initial historical backlog, without manual re-configuration.
AI Training
Dataset Preparation
The extracted, validated, and structured dataset is delivered in formats ready for AI model training, fine-tuning, and retrieval-augmented generation: clean JSON, structured CSV, and vector-embedded document chunks. Organisations that have completed a Data Archaeology engagement hold a proprietary training asset that no competitor can replicate - because the historical data is unique to their institutional history. That is the moat AI creates in emerging markets.
Decades of data.
Weeks to unlock.
Your moat is already there.