Solutions
WebRobot is not only a scraper. It is a complete data platform, a runtime for AI agents of any kind, and a trading backend — all deployable in your own cloud.
Extract from the web, APIs, files and databases; transform at scale; load where you need it.
🤖Agents and agent teams for any process: back office, sales, research, compliance, operations.
📈NautilusTrader for backtest and live execution, with agent-driven signals and guardrails.
A full extract-transform-load platform on Apache Spark, not just a crawler.
Websites (including JavaScript-heavy and protected ones), REST APIs, files (CSV, JSON, Parquet, PDF), databases and your own documents.
Distributed Spark stages, Python extensions, AI stages for classification, extraction and enrichment, deduplication and matching (e.g. by EAN).
Versioned datasets in S3-compatible storage, Parquet/JSONL exports, SQL access, APIs and webhooks for your applications.
Schedules, event triggers, retries, logs and metrics per job. Pipelines are YAML — reviewable and versionable.
Typical projects
Prices, listings, hiring, filings and sentiment, collected inside the fund’s own cloud with provenance for every record.
Catalogue matching by EAN, competitor prices and history, unauthorised sellers and counterfeit listings.
National and EU procurement portals watched continuously and matched to your capabilities and deadlines.
IMO, EU, DORA, MiCA and supervisor circulars tracked, summarised and routed to the right owner.
Curated training and retrieval datasets for fine-tuning and RAG, delivered as JSONL or Parquet.
Startups build their own data SaaS on WebRobot and resell it — we provide the engine, they own the product.
Build agents and multi-agent teams for any process. They run on Ray inside your infrastructure, use your data and tools, and ask a human before critical steps.
Document understanding, invoice and payment reconciliation, ticket routing, anomaly detection.
Lead research and scoring, proposals, follow-ups, content generation and multi-channel publishing.
RAG on your documents, market and competitor research, reports with sources.
Regulatory watch, KYC-style checks on public data, audit-ready trails of every agent action.
Chat agents for your site or messaging channels, grounded on your data and escalating to people.
Agents that watch systems, markets or sources and act — or alert — when something changes.
How agents are built
NautilusTrader backtest and live execution, agent-driven signals, visual bot designer, and guardrails — in your cloud. Discover the trading backend →
If the data is on the web or in your systems, or the process can be described, we can probably automate it. Tell us about it.
