Solutions
The work of a data and AI team — at a fraction of the cost. WebRobot turns every source into data and agents: your systems and documents, sensors and IoT, satellites and drones, and the web. A complete data platform, a runtime for AI agents of any kind and a trading backend — all deployable in your own cloud.
From databases, documents, sensors, satellites, drones, APIs and the web; transformed at scale; loaded 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.
Databases and your business systems, REST APIs, IoT and device streams (Kafka) and telemetry files, satellite and drone imagery, files (CSV, JSON, Parquet, PDF, images), your own documents — and websites, including JavaScript-heavy ones.
Distributed Spark stages, Python extensions, AI and vision models for classification, extraction and enrichment, joins across sources, deduplication and matching.
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
Satellite imagery — for example Copernicus open data — cut by area and date, joined with your own data and read by vision models: crop health, land use, change detection.
Images and telemetry from every flight ingested per mission; a model flags defects and anomalies and a person confirms them — roofs, solar parks, power lines, fields.
Device streams and telemetry joined with your business data: anomaly detection, predictive maintenance, energy and fleet monitoring, with agents that open the ticket.
Invoices, contracts, reports and scanned registers turned into structured, linked, searchable data — with a person reviewing what the model is unsure of.
Your data cleaned into a training set, a small model fine-tuned on it and served privately — on your GPUs or ours.
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.
Agents that read sensor, drone and satellite data, decide what needs a visit and open the work order.
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 in your systems, on your devices, in the sky or on the web — or the process can be described — we can probably automate it. Tell us about it.
