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automated AI extraction pipeline

repeatable, accurate results — at scale

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insights you can build on

convert unstructured data into structured insights

resolve questions by context – not keywords

build applications on a relevant knowledge base

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how it works

dex classifies your documents and files

use the builder to refine your contextual extractions

launch jobs against your data with the automated pipeline

dex builder

classify  refine build

a sandbox to build, refine, and validate extraction schemas before you scale them in production

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classify your data
Automatically cluster documents into a hierarchy of types so each schema targets the right context.
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refine your schema
Use LLM assistance to generate schema definitions, run tests, refine and approve versions.
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build your jobs
Connect schemas to corpus and create jobs ready for large-scale execution in the Pipeline.​

dex pipeline

schedule  connect  extract

a production engine that runs your dex jobs across millions of documents, integrated seamlessly into your workflow

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schedule jobs
Import builder-defined jobs, queue and prioritize them, coordinate batch or streaming runs.
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connect your data
Hook up internal repositories, cloud storage, or APIs as targets for each job.
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extract results
Extract and deliver results to your graph, warehouse, or APIs in the formats your teams use.

pipeline under the hood

DEX includes an embedded AI pipeline for targeted extractions across text, tables, and images. It offloads complex workflows and returns structured intelligence for search, analysis, and applications - integrating via API, CLI, or white-labeled UI while scaling with your corpus and controlling cost.

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automated extraction, schema, ontology mapping, table extraction, LLM cost analysis

You define the extraction schema; DEX’s orchestrator does the rest - splitting work (entities, tables, image tags) and routing it to the ideal engine (public LLMs, multimodal vision, or your local Llama) by accuracy, cost, and policy. Results land as a single unified dataset with cost planning and key management for a simple, predictable invoice.

DEX ships as a containerized OEM platform with full documentation. Our engineers can embed the solution into your workflows for seamless operations, or you can choose a managed-service model where we run the jobs. By default, the package calls our hosted APIs, however, a fully on-prem deployment is also available.

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features & modules

entities, custom entities, LLM extraction

entities

define custom types and extract all matching entities​

geological extractions, maps, reports, drill log data, LLM geological extractions

geospatial

geolocate and contextually query maps and repor,  

relationship, entity relationships, custom releationship extraction, LLM

relations

infer custom relationships between extracted entities

custom LLM models, LLM extraction pipeline

data

analyzes structured and unstructured data

(pdf, doc, xls, etc.)

ontology mapping, ontology, custom LLM extraction

ontologies

multiple and custom ontology mappings supported​

LLM user interface, autoated agent interface

interface

custom graphical, command line and API interfaces available

table extraction, articles, LLM table extraction

tables

data from embedded tables extracted for search and analysis

LLM executive funtion, multi-model management, LLM extraction, VLM extraction

executive

multi-modal decisions automatically managed by executive functions

evidence extraction, evidence inference, LLM evidence extraction

evidence

build your decision case by extracting sourced evidence​

LLM cost management, LLM pipeline cost analysis

cost

built-in cost estimation and reduction tools across all models

industries & use cases

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publications

Academic publishers, digital libraries, and research indexing services can embed DEX to harvest metadata (titles, authors, abstracts), extract key topics and citations, and classify articles by area. Platforms like journal aggregators or scholarly search engines can then use DEX to keep their content discovery fast, accurate, and up-to-date.

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bioinformatics

Bioinformatics and genomics-analysis platforms use DEX to scan research papers and lab reports for gene names, variants, phenotypic associations, and pathway relationships. DNA-annotation tools and precision-medicine startups embed DEX to automatically populate their databases with the latest discoveries from large-scale sequencing studies.

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real estate

Proptech and real-estate intelligence platforms can integrate DEX to extract property attributes (square footage, zoning, ownership history) from deeds, permits, site-plans plus and even image tags from photos or site surveys. MLS aggregators and CRE analytics services rely on DEX to keep listings enriched and searchable.

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pharma

Clinical trial management and regulatory-submission software providers can leverage DEX to pull protocols, dosage details, adverse-event reports, and efficacy results straight from PDFs and journals. Companies building pharmacovigilance or drug-development dashboards integrate DEX to streamline compliance workflows and power real-time safety analytics.

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patents

Patent-analytics and IP-management systems tap DEX to parse patent documents for invention titles, claim language, citation trees, and legal status. Firms offering portfolio-benchmarking or competitive-landscape tools embed DEX to deliver instant insights into filing trends and freedom-to-operate risks.

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legal

Contract-lifecycle management and e-discovery vendors incorporate DEX to identify clauses, obligations, expiration dates, and risk factors across thousands of agreements and court filings. Legal-tech firms use DEX to automate due-diligence, compliance checks, and contract-review workflows with pinpoint accuracy.

Trusted by leading software companies, government agencies, and data-first platforms

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DEX is production of InferLink, Corp. © all rights reserved

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