Data pipelines that think,
adapt, and never break.
Deploy AI agents that extract, reconcile, and enrich data across databases, APIs, documents, audio, and more, self-healing when schemas change, always audit-ready.
Data Agents · Overview
Ingestion, enrichment and reconciliation across all your systems
Period: 2026-04-10 – 2026-04-17
Executive Narrative
9 agents processing 2.41M records in the last 7 days. Data quality score at 94.2% (+2.4 pp WoW). Claims Intake Extractor auto-adapted to a provider schema change. Schema drift in Regulatory Reporter requires manual review.
Active pipelines
9
▲ 2 vs. last week
Records processed (7d)
2.41M
▲ 52.8% WoW
Data quality score
94.2%
▲ 2.4 pp WoW
Avg batch latency
3.2m
▼ 54s WoW
Records processed per day
Current vs previous period
Source distribution
Last 7 days · share of records ingested
Deployed Agents 9 active · 6 source types
Claims Intake Extractor
Production
Records
342k
Accuracy
96.8%
Last run
4m
Policy Reconciliation
Production
Records
612k
Match rate
97.1%
Last run
12m
Regulatory Reporter
Staging
Records
184k
Quality
89.2%
Drift
2 cols
Trusted by insurance and operations teams worldwide
Data pipelines break. Data teams pay the price.
The same root problems slow every data team down, before a single insight is delivered.
Brittle ETL Pipelines
A single schema change upstream breaks the entire pipeline, leaving teams scrambling to fix mappings manually before data freshness degrades.
Siloed Data Sources
Databases, APIs, documents, audio transcripts, and email data live in isolation. Connecting them takes months of custom engineering.
Slow Time-to-Insight
Manual data preparation means analysts wait hours or days for clean, reconciled data, by which point business decisions have already been made on stale information.
Poor Data Quality
No automated validation means duplicates, nulls, and format inconsistencies silently corrupt downstream reports and models.
Compliance Blind Spots
Without full data lineage, it's impossible to trace where a value came from, making audits slow and regulatory reporting unreliable.
Unstructured Data Left Behind
Documents, call recordings, and emails contain critical business data that never makes it into structured systems, a massive intelligence gap.
Every data pipeline. Every source type.
From structured databases to unstructured audio, deploy agents that handle the full data lifecycle.
Claims Intake Extraction · Documents & Email
Automatically extract structured fields from unstructured claims documents and email attachments. Self-heals when provider schemas change, no manual remapping.
Fields captured without human review
Policy Reconciliation · Database & API
Cross-reference policy data across core systems and external APIs in real time. Flag mismatches instantly and maintain a single source of truth.
Cross-system record alignment
Call Insights Enrichment · Audio & CRM
Transcribe and extract intent, sentiment, and key entities from call recordings. Automatically enrich CRM records with conversation data at scale.
Enriched from audio automatically
Fraud Signal Detection · Streaming & Database
Ingest real-time event streams and correlate against historical patterns in milliseconds. Flag suspicious signals before transactions settle.
End-to-end from event to flag
Customer 360 Resolution · Database & API
Merge fragmented customer records across CRM, policy, and billing systems into unified identity profiles with full lineage tracking.
Unified profiles created automatically
Regulatory Reporting · Database & Documents
Aggregate data across systems and generate audit-ready regulatory reports with complete data lineage. Alert on schema drift before it impacts submissions.
For compliant pipeline output
Reliable data, without the fragility
Replace brittle, hand-crafted pipelines with agents that monitor, adapt, and deliver clean data continuously.
Pipelines That Adapt
When upstream schemas change, agents automatically remap fields and resume processing, no engineers woken up at 3 AM.
Data Quality Score
Continuous validation, deduplication, and anomaly detection keep your data clean before it reaches dashboards or models.
Source Types Supported
Databases, REST APIs, documents, audio transcripts, email, files, and event streams, all ingested through a single platform.
Full Data Lineage
Every record is traceable from source to destination. Satisfy auditors and regulators with complete, queryable provenance.
Streaming Latency
Real-time event ingestion and signal detection at sub-second latency for fraud, compliance, and operational use cases.
First Pipeline Live
Connect your first source, define your extraction rules, and ship a production pipeline in under a week, no data engineering team required.
From source connected to pipeline live in days
A four-step process designed for data and operations teams, no data engineering degree required.
Connect Your Sources
Link databases, APIs, document stores, cloud storage, email inboxes, and event streams with pre-built connectors, no custom code required.
Define Extraction Rules
Specify what to extract, how to transform it, and where it lands. Set quality thresholds, validation rules, and schema drift alerts from a visual interface.
Deploy & Run Pipelines
Launch batch or streaming pipelines with one click. Built-in versioning and shadow mode let you validate new configurations before cutting over.
Monitor Quality & Lineage
Track quality scores, pipeline health, and full data lineage in real time. Get alerted on schema drift or anomalies before they reach downstream consumers.
What people are saying
“Within 24 hours of deployment, we had 10x more visibility into critical conversion blockers that were costing us revenue every single day.”
Aitor Gumiel
VP of Product @ TheGuarantors
“With InfiniteWatch we are adopting AI agents in our sales team the right way. It scores our reps and our AI agents on exactly the same criteria, so we can see where an AI agent already matches our best people and expand automation only where the data proves it.”
Alberto Baselga
CPO/CIO @ Northius
“Our dashboards always told us where the drop-off or friction points were, but we never knew whether it was due to a lack of interest or because they had encountered an issue unknown to us. With InfiniteWatch, within the first week, those drop-offs were turned into three specific tickets—complete with recorded sessions and proposed solutions. We are finally acting on evidence, not assumptions.”
Beatriz Lázaro
Head of Growth @ Aegon
Ready to replace brittle pipelines
with intelligent data agents?
Connect your first source and deploy a production-grade data agent in days. No data engineering team required, just clean, reliable data from day one.