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NextAI · v4 · operational EU-CY · EU-FRA · EU-AMS · US-IAD

Custom data pipelines for the models you train.

We build training-data crawlers and synthetic-dataset pipelines for AI labs and SaaS teams shipping their own models. The agent picks the right stack per target (Playwright, headless Chromium, fetch‑h2, residential rotation) and falls back when a target blocks.

Not a SaaS. We license the stack to a small number of partners.

nextai-agent · session 7f3a · eu-cy
live
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NEXTAI://AGENT RUN_ID 7f3a-2026-05-02 NODE eu-cy-04
FIG.01 — agent run, target: shop.example.com → product training set
// 01 · capabilities

What we ship.

A NextAI deployment selects its tools per target. The agent fingerprints the site, picks a rendering pipeline, and falls back when blocked.

// 02 · architecture

One agent, many fetchers.

A NextAI run resolves a target into a tech-stack profile, then orchestrates fetchers, renderers, parsers, and validators end-to-end. You give us a target and a schema. We return training-ready data.

TARGET
url + schema
FINGERPRINT
signature → stack
PLAYWRIGHT
JS-heavy
CHROMIUM
render
FETCH-H2
API/JSON
RESIDENTIAL
rotated
EXTRACT
LLM + xpath
VALIDATE
dedupe · scrub · hash
EMIT
jsonl · parquet
◇ AUTO-SELECTED PER TARGET ◇ FAILS-OVER LIVE ◇ EMITS TRAINING-READY ROWS
// 03 · use cases

Who runs NextAI.

A handful of partners, anonymized. Each deployment is shaped to one workload.

// 04 · licensing

Annual licensing,
scoped to your workload.

NextAI runs as a handful of long-term partner deployments. Every license includes the agent runtime, the stack playbook, ongoing target-specific tuning, and SLA support.

HQLimassol · Cyprus
RESPONSE< 48h on weekdays