Data for AI / Enterprise AI Data ExtractionSLA-backed

Enterprise AI Data Extraction, Run as a Governed Program

Thousands of sources, hundreds of schemas, and audit requirements that don't bend. We operate the extraction layer end to end, under your security review, your SLAs, and your delivery targets.

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Thousands of sourcesYour VPC or oursVersioned schemasNamed delivery team

Sample viewextraction-program / productionall pipelines healthy

Sources monitored4,180

Records / month1.2B

Schema conformance100%

SLA adherence99.7%

Active source groups

Supplier catalogs98%

Regulatory filings (PDF)94%

Marketplace listings99%

Regional portals91%

Last delivery

{
  "batch": "2026-08-07T04:00Z",
  "records": 1284502,
  "schema_conformance": "100%",
  "fields_flagged": 318,
  "human_review": "passed",
  "destination": "s3://client-lake/curated/"
}

Trusted by enterprise teams worldwide

Why enterprises call us

Extraction Stops Being a Scraping Problem at Enterprise Scale

01

Source counts grow faster than the team

A handful of scrapers is a project. Thousands of sources across regions, formats, and languages is an operating burden nobody budgeted for.

We run the fleet as managed infrastructure.

02

Security review blocks the rollout

Data cannot enter production until provenance, retention, access control, and vendor posture are documented and approved.

Documentation and controls ready for review on day one.

03

Downstream systems assume the data is right

When extraction feeds pricing, models, or reporting, a silent schema drift becomes a business incident, not a data ticket.

Schema conformance checks and flagged fields on every batch.

04

Nobody owns it at 2 a.m.

Internal pipelines depend on the person who built them. Enterprise programs need an on-call owner and a written response time.

Named delivery team with contractual SLAs.

The enterprise program

Everything Around the Extraction, Not Just the Extraction

The controls your security, legal, and platform teams expect before data enters production.

Source fleet operations

Thousands of sources monitored, re-read when they change, and re-validated before delivery. Breakage is our alert, not yours.

Private deployment options

Run in our environment or in your VPC with dedicated infrastructure, isolated storage, and your key management.

Contractual SLAs

Freshness windows, uptime, and incident response times written into the agreement, with reporting against them.

Governance and audit trail

Provenance, retention, and access logged per source and per field, exportable for internal or external audit.

Schema and change management

Versioned schemas, backwards-compatible changes, and advance notice before anything downstream shifts.

Named delivery team

A solution architect and a delivery lead who know your sources, plus escalation paths that do not start with a support form.

How it works

How an Enterprise Engagement Runs

Start with your real sources, validate the output, then move into a documented production program.

Scope and security review

We walk your sources, fields, volumes, and controls with your data and security stakeholders.

Start here

Pilot

We extract a real batch from your actual sources so you can judge accuracy and schema fit before anything is signed.

Build and harden

Pipelines are tuned to your schema, wired to your QA rules, and deployed into the agreed environment.

Operate and report

Scheduled delivery to your stack, with SLA reporting, change notices, and a named team on call.

What changes at enterprise tier

Standard Delivery vs. Enterprise Program

DimensionStandardEnterprise

ScopeA defined set of sources and fieldsSource fleets across regions, formats, and business units

DeploymentAPISCRAPY-managed environmentManaged, dedicated, or in your VPC

CommitmentsAgreed delivery scheduleContractual SLAs on freshness, uptime, and response

Quality controlHuman-verified samplesSchema conformance, confidence scoring, and per-batch QA reports

SupportShared support queueNamed delivery team with defined escalation

GovernanceStandard compliance postureSecurity review pack, audit exports, DPAs, and custom retention

Built With Compliance in Mind

Enterprise programs run under the same certified controls as the rest of APISCRAPY, plus the security review pack, audit exports, and data processing agreements your legal and security teams ask for.

Sources handled within the data protection regulations relevant to your industry.

Provenance and handling documented for every source we extract from.

ISO 27001:2022 and ISO 9001 certified, CMMI Level 3 appraised, and GDPR compliant.

Encrypted in transit and at rest, with role-based access, NDAs, and full audit logs.

Enterprise AI Data Extraction Questions

What is enterprise AI data extraction?

Enterprise AI data extraction is AI-based extraction run as an ongoing, governed program across hundreds or thousands of sources. Beyond pulling the data, it covers deployment, contractual SLAs, schema change management, audit trails, and a team accountable for delivery, so the output can feed production systems.

How is this different from your AI Data Extraction service?

The extraction technology is the same. The enterprise program adds fleet-scale source operations, deployment choice, contractual SLAs, governance documentation, and a named delivery team.

Can this run inside our own cloud environment?

Yes. We can deploy into your VPC with dedicated infrastructure, isolated storage, and your key management, or run it fully managed on our side.

What SLAs do you commit to?

Freshness windows, uptime, and incident response times are agreed during scoping and written into the contract, with reporting against them each cycle.

How do you handle a source that changes structure?

Our models re-read the source and the batch is validated against your schema before delivery. If a field cannot be recovered cleanly, it is flagged rather than silently dropped.

What does your security review pack include?

Provenance and retention documentation, access control model, subprocessor list, certifications, and DPA templates. Most reviews complete without a separate discovery exercise.

How is an enterprise program priced?

Against source count, volume, and delivery commitments. We quote after scoping so the number reflects the actual program, not a list rate.