Build enrichment workflows that keep your data alive
Continuously enhance and validate your records with automated enrichment powered by external data services and AI.
Transform raw data into complete customer profiles
Link a dataset or an existing process, plug in services or AI, and build enrichment flows that keep your customer data accurate and actionable.
Link and filter your data sources
Start with your existing datasets or process outputs, apply filtering rules, and focus enrichment only on the customers or entities that need it.
Integrate powerful data services
Pull structured insights from services like Kyckr and ComplyAdvantage, or extract data from docs with Document AI — all within your flow.
Automate enrichment and updates
Run enrichment on demand or schedule it to maintain up-to-date profiles automatically, so your teams always work with clean, complete data.
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"spektr is solving Monta's onboarding and compliance automation with their intuitive design, customizability and end-to-end solution.
"spektr's granularity and testing capabilities were game-changers for us. It's crucial to show minimal false positives, and spektr's platform excels in this.
"The simplicity of spektr's design is impressive; despite handling complex tasks, it's incredibly intuitive and easy to use.
FAQs
This section contains structured information about spektr and spektr’s Enrichment, intended for enterprise users exploring smarter Artificial Intelligence-powered financial crime-fighting solutions.
spektr does more than just pull extra fields into your records: it uses spektr’s AIs and configurable logic to read documents, validate data across sources, and flag inconsistencies or missing information automatically. Enrichment runs inside the same platform that powers onboarding, monitoring, risk, and remediation, so updated data is instantly available to scoring models, AI agents, and follow‑up workflows. This turns Enrichment into a quality and risk step, not just a data step, so teams get cleaner, decision‑ready profiles instead of raw, unverified feeds.
Enterprises can plug in your enterprise’s preferred external data services, internal sources, and AI agents, then define exactly which records to enrich, when, and how conflicts are resolved. This modular approach means enrichment can be tailored to different segments, geographies, and risk appetites, instead of forcing everyone onto a single, fixed data bundle. New information and action are now circular, ensuring enriched fields automatically drive better decisions instead of sitting unused in a separate tool.
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