01
📥
DataIngest Agent — Multi-Source Ingestion
Continuously pulls data from any source — REST APIs, SFTP, S3 buckets, databases (PostgreSQL, MySQL, MongoDB), Kafka streams, Google Sheets, and SaaS platforms — on any schedule or event trigger. No manual exports, ever.
- Scheduled + event-driven ingestion (cron, webhook, file drop)
- Connectors for 150+ data sources out of the box
- Incremental and full-load strategies with watermark tracking
- Automatic retry logic and dead-letter queue for failures
150+
native source connectors
02
🧹
DataClean Agent — Intelligent Quality Repair
Automatically detects and resolves data quality issues across every field — null values, duplicates, format mismatches, outliers, encoding errors, and schema drift — without manual rules. LLM-powered semantic understanding means it handles messy real-world data, not just clean test datasets.
- Null imputation using statistical and ML-based methods
- Fuzzy deduplication across records and datasets
- Outlier detection with business-context awareness
- Schema drift detection and automatic adaptation
99.8%
average data quality score post-clean
03
⚙️
DataTransform Agent — Business Logic Layer
Applies your specific business transformation rules — currency normalisation, date standardisation, multi-table joins, aggregations, derived KPI calculations, and dimensional modelling — automatically. Describe the transformation in plain English and the agent writes and maintains the logic.
- NL-to-transformation: describe logic, agent implements it
- Multi-source dataset joins with configurable key matching
- Calculated fields and derived metrics engine
- Medallion architecture support (Bronze → Silver → Gold)
10×
faster transformation deployment vs manual
04
💡
DataEnrich Agent — AI-Powered Augmentation
Takes your internal data further by enriching it with external intelligence — company firmographics, contact data, geographic attributes, sentiment scores from text fields, entity resolution across messy name variations, and AI-generated categorical labels that your models can actually learn from.
- Third-party data integration (Clearbit, Apollo, Crunchbase APIs)
- Geocoding and location intelligence enrichment
- LLM-powered sentiment analysis and topic classification on text fields
- Entity resolution — merges "HDFC Bank", "HDFC Bk", "HDFCBank" into one
3.2×
more ML-ready features per record
05
📊
DataAnalyse Agent — Automated Intelligence
Runs continuous statistical analysis, anomaly detection, trend identification, forecasting, and predictive scoring on your cleaned data — without an analyst writing a single line of code. Surfaces findings proactively when metrics deviate, not just when someone runs a report.
- Time-series anomaly detection with business-context alerts
- Automated A/B test analysis and statistical significance reporting
- Cohort analysis, funnel analysis, and retention modelling
- Predictive scoring: churn, LTV, demand forecasting built in
24/7
continuous monitoring — never miss an anomaly
06
💬
QueryIQ Agent — Natural Language to SQL
Lets anyone in your organisation ask data questions in plain English and get accurate, cited answers — without waiting for a data analyst. The agent understands your schema context, generates optimised SQL, executes it, and returns results with an explanation of the query logic used.
- "What were our top 10 SKUs by margin last quarter in Maharashtra?" → instant answer
- Schema-aware — learns your table structure and business terminology
- Query validation to prevent accidental data mutation
- Result cited with generated SQL for analyst review and trust
85%
reduction in ad-hoc analyst query requests
07
📋
DataReport Agent — Automated Intelligence Delivery
Auto-generates plain-language reports, executive briefings, stakeholder dashboards, and operational summaries directly from analysis outputs — delivered on your schedule by email, Slack, WhatsApp, or pushed to your BI tool. No one ever waits for a report again.
- Daily / weekly / monthly report generation with narrative insights
- Executive-grade language: numbers plus context, not just raw data
- Delivery via email, Slack, WhatsApp, Google Workspace, Teams
- BI integration: push to Metabase, Superset, Looker, Power BI, Tableau
6 hrs
of reporting time reclaimed per analyst per week
08
🛡️
DataGovern Agent — Compliance & Lineage
Maintains complete data lineage, monitors data quality SLAs, enforces access policies, generates compliance audit trails, and flags data policy violations — automatically. Built for organisations operating under GDPR, DPDPA (India), SOC 2, HIPAA, or any internal data governance framework.
- Full column-level data lineage — trace every value to its source
- Automated PII detection and classification across all datasets
- Access audit log generation for compliance reporting
- Data quality SLA monitoring with automated breach alerts
100%
audit trail coverage across pipeline